Genetic architecture and genomic regions associated with malpigmentation in farmed turbot (Scophthalmus maximus) - Daniel Costas-Imbernón; María Saura; Susana Otero; Laura Guerrero-Peña; Manuel Megías; Pablo Touriñán; Pablo García-Fernández; Ricardo Tur; David Chavarrías; Josep Rotllant (Aquaculture, 2027)

A quantitative weight-of-evidence review of preclinical studies examining the potential carcinogenicity of acetaminophen - Michael Kovochich; Michael D. Southall; Sadaff Ejaz; Suresh Kumar Pitchaiyan; Nirali Patel; David Jacobson-Kram; Daniel G. Kougias (Regulatory Toxicology and Pharmacology, 2026)

Environmental context modulates the positive effects of sustainable farming on soil mesofauna abundance and diversity at a national scale. - Pablo Homet; Marta Rodríguez-Reyes; Javier Alejandre; María del Mar Alguacil; Manuel Delgado-Baquerizo; Gema del Río; Luna Medrano; José Antonio Pascual; Antonio David Prior-Rivas; Margarita Ros; Daniel Sacristán; Antonio Rafael Sánchez-Rodríguez; et al. (Agriculture, Ecosystems & Environment, 2026)

AI-driven risk management for sustainable water distribution: A comparative study of resampling strategies and cost-sensitive predictive modeling for leakage failure - David Abert-Fernández; Hèctor Monclús; Bujar Fetai; Daniel Kozelj (Water Research, 2026)

System characterisation of a 1 MW advanced dual fluidised bed steam gasification demonstration plant by a design of experiments approach - David Kadlez; Johann Zeitlhofer; Florian Benedikt; Daniel Hochstöger; Stefan Müller; Hermann Hofbauer (Fuel, 2026)

Sublethal tree health conditions suppress tree growth across eastern US forests - K. Diego Rocha; Lukas J. Magee; Denver T. Cayetano; D. Alex Bowers; Kristina J. Anderson-Teixeira; Sean M. McMahon; Jessica Shue; David A. Orwig; Stephanie Bohlman; Jason Vogel; Timothy A. Martin; William J. McShea; et al. (Forest Ecology and Management, 2026)

A novel approach to rapidly identifying, quantifying and ranking air leakage - David Johnston; Dominic Miles-Shenton; Felix Thomas; Daniel Dobrowolski (Energy and Buildings, 2026)

Monoamine structure and its effect on fully reacted substructures to synergistically toughen epoxy amine networks via topological control - Nguyen Thao Phan; Houlei Gan; David Szmalko; Claudia Creighton; Cara M. Doherty; Durga Acharya; Daniel J. Eyckens; Russell J. Varley (Chemical Engineering Journal, 2026)

Habitat size and non-productive agri-environment schemes drive arthropod richness, but not biomass, in European calcareous grasslands - Julia Zurdo; Xabier Cabodevilla; David Giralt; Gerard Bota; Daniel Aguirre de Cárcer; Rubén Chaboy-Cansado; Annika L. Hass; Catrin Westphal; Triin Reitalu; Aveliina Helm; Juan Traba (Agriculture, Ecosystems & Environment, 2026)

Examining widely held propositions on human dietary protein needs and benefits: a critical review of the science that shapes both the data and our understanding of an essential macronutrient - Mitchell M. Kanter; Sally Aaron; Steven N. Austad; Andrew W. Brown; Nicholas A. Burd; Wayne W. Campbell; Mark Cope; Teresa A. Davis; John W. Erdman; Miguel Freitas; Kristen Hicks-Roof; Samuel Klein; et al. (Critical Reviews in Food Science and Nutrition, 2026)

Albatross and petrel overlap with pelagic longline fisheries in the Eastern Pacific Ocean - Daniel P. Crear; Thomas A. Clay; Ana P.B. Carneiro; Johannes H. Fischer; Igor Debski; David J. Anderson; Jill A. Awkerman; Alastair M.M. Baylis; Elizabeth A. Bell; Letizia Campioni; Paulo Catry; Tyler Clavelle; et al. (Fisheries Research, 2026)

Efficacy of afoxolaner (NexGard®) for the treatment of myiasis caused by the zoonotic tumbu fly, Cordylobia anthropophaga, in domestic dogs under field conditions - Andrei Daniel Mihalca; Ioana Bianca Mitrea; Ştefan Ovidiu Rabei; Samuel Lolokote; David Modrý; Frederic Beugnet (Veterinary Parasitology, 2026)

The difference between perceived and measured particulate matter in high population density urban environments: A citizen co-creation approach - Kurt Calleja; David Paul Suda; Mark Anthony Caruana; Daniel Micallef; Edward Duca; Francesca Mizzi (Sustainable Cities and Society, 2026)

The phytolith and paleoenvironment records of Ortvale Klde, a late middle to early upper paleolithic rockshelter in Western Georgia - Johan Jarl; Mikhail Blinnikov; David Lordkipanidze; Alexia Smith; Nicholaz Tushabramishvili; Daniel S. Adler (Palaeogeography, Palaeoclimatology, Palaeoecology, 2026)

A multi-proxy approach for sediment variability assessment: Application along the Colombian Caribbean coast - Nelson Rangel-Buitrago; Alex Paternina-Ramos; William J. Neal; Jesús David Pereira Ortega; Danna Lucia Anaya causado; Daniel Rincón-Martínez (Marine Geology, 2026)

Full-year monitoring of the real-life performance of a thermochromic smart window in a tailored test building - Romy van Geijn; Ryan van Zandvoort; Luc Leufkens; Janique Hupperetz; David Out; Rémi Aninat; Roland Valckenborg; Nicole Meulendijks; Phillippe Nivelle; Michaël Daenen; Daniel Mann; Pascal Buskens (Energy and Buildings, 2026)

Pronounced drought and wet periods during the Maya Terminal Classic period reconstructed using stalagmite calcium isotopes - Daniel H. James; Harold J. Bradbury; Stacy A. Carolin; Sebastian F.M. Breitenbach; Hai Cheng; Ian J. Orland; Jason H. Curtis; Adam Hartland; Christina Gallup; Ola Kwiecien; Andrew J. Mason; Gideon M. Henderson; et al. (Earth and Planetary Science Letters, 2026)

Single and mixtures toxicity of emerging (polystyrene nanoplastic) and persistent (PAHs and PCBs) pollutants and their sub-lethal adverse effects on larval stage zebrafish (Danio rerio) - Asif Mortuza; Daniel Kemp; Antonietta Quigg; R.J. David Wells; Karl Kaiser; David Hala; Lene H. Petersen (Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 2026)

Selenium isotopic constraints on assimilation in layered mafic intrusions: an example from the Northern limb of the Bushveld Igneous Complex - Sharlotte C. Mkhonto; Matthew I. Leybourne; Heather K. Shrimpton; Pedro J. Jugo; David W. Blowes; Danie F. Grobler; Daniel Layton-Matthews (Chemical Geology, 2026)

Biome-scale spatial patterns of avian abundance reveal proactive conservation opportunities in North American grasslands - Caleb P. Roberts; Victoria M. Donovan; Samantha M. Cady; Brandon P.M. Edwards; Scott Morford; David Naugle; Rheinhardt Scholtz; Dirac Twidwell; Daniel R. Uden; Dillon Fogarty (Biological Conservation, 2026)

Microplastics abundance in marine sediments and stomach contents of benthic organisms - Alishon Yuliana Estrada-Stabilito; Karen Yicelth Morales-Duarte; Carlos David Rodríguez-Amaranto; Daniel Leonardo Ramírez-Orozco; Luis A. Gómez-Lemos (Hydrobiologia, 2026)
Microplastics are an emerging contaminant in marine ecosystems worldwide. This study evaluated the abundance of microplastics, their relationship with sediment type, and their ingestion by macroinvertebrates in the Eastern South Pacific Ocean and the Southern Caribbean Sea during the rainy and dry seasons. A granulometric analysis was performed applying a Pearson correlation matrix, and microplastics were extracted using the density flotation method and analyzed by type, color, and size. There was an average of 165 ± 22 microplastics/kg in the Eastern South Pacific Ocean and 296 ± 167 microplastics/kg in the Southern Caribbean Sea, however, there were no significant differences among regions or seasons. A negative relationship was found between microplastic abundance and coarser sediment, indicating that they retain fewer microplastics than finer sediments. Blue and red fibers smaller than 2 mm were the most common microplastic types in both regions. There was a higher ingestion of microplastics in the Southern Caribbean Sea (22%) compared to the Eastern South Pacific Ocean (3%), and polychaetes were the main microplastic eaters. Our findings highlight the usefulness of marine polychaetes as bioindicators of microplastic pollution and suggest a relationship between the abundance of microplastics and the ingestion of microplastic by benthic organisms.

Soil management and minerals drive organic carbon, nutrients and total soil element concentrations in rainfed cereal soils of Spain - Antonio Rafael Sánchez-Rodríguez; Antonio David Prior-Rivas; Adrián González-Guzmán; María Carmen del Campillo; Vidal Barrón; Marta Rodríguez-Reyes; Javier Alejandre; María del Mar Alguacil; Manuel Delgado-Baquerizo; Gema del Río; Luna Medrano; José Antonio Pascual; et al. (Agriculture, Ecosystems & Environment, 2026)

Conserved communication between the pars tuberalis and mediobasal hypothalamus in the Golden hamster and Svalbard ptarmigan: a genome enabled ligand-receptor pairing analysis - Anna Hofinger; Alexander West; Daniel Appenroth; Fernando Cázarez-Márquez; Vebjørn Melum; Shona Wood; David Hazlerigg (Journal of Comparative Physiology A, 2026)

Sublethal toxicity of selenium nanoparticles in zebrafish early life stages: biochemical and behavioral responses - Pearl Ofoegbu; Rita Duarte; Soraia Almeida; Alexandre Marques; David Daniel; Luís Barros; Ricardo J. B. Pinto; Victor Galhano; Bruno Nunes (Environmental Science and Pollution Research, 2026)

Ecotoxicological profile of a high prevalence marine disease area in Florida's Gulf coast - Manes Costanza; Herren Richard; Kozuch Marianne; Cooper Evan; Lilyestrom Margaret; Evans Daniel; Godfrey David; Duffy David; Capua Ilaria; Carthy Raymond (Marine Pollution Bulletin, 2026)

Spatial models cannot compensate for sampling designs unstructured relative to isotopic variation: implications for baseline isoscape development in the Mediterranean Sea - Sarah Magozzi; Clive N. Trueman; Matthew R.D. Cobain; Kirsteen M. MacKenzie; Katie St. John Glew; José A. Canseco; Eric Díaz-Delgado; Emanuela Fanelli; Paola Rumolo; Joan E. Cartes; Boris Espinasse; Davide Agnetta; et al. (Progress in Oceanography, 2026)

Changes in microbial community structure and carbon cycling due to anthropogenic sediment resuspension - Cátia Carreira; Qi Chen; Qiang Zheng; Xosé Anxelu G. Morán; Daniel González; Simon David Herzog; Stiig Markager; Signe Høgslund; Christian Lønborg (Marine Environmental Research, 2026)

Three-dimensional geometric morphometric analysis of Homo erectus lumbar vertebrae, with a focus on the Dmanisi specimen D2672 - Xue Wang; Scott A. Williams; Markus Bastir; David Lordkipanidze; Daniel García-Martínez (Journal of Human Evolution, 2026)

Insights on the heterogeneity of thermal transfer in the chalk aquifer using fibre-optic distributed temperature sensing - Katerina Kyrkou; Joseph Kelly; Adam Booth; Fleur Loveridge; David Boon; Edward Hough; Lawrence Scott; Matthew Jackson; Adrian Butler; Daniel Perez; Athena Chalari (Geothermics, 2026)

Integrated geological, economic, and risk assessment of underground hydrogen storage - Prakash Purswani; K C Bijay; Hyeonseok Lee; Yun Yang; Uwaila C. Iyare; Lawrence O. Baompong; Shaowen Mao; David Z. Li; Zhidi Wu; Manjeet Chhetri; Siqin Yu; Xiaoyu Zhang; et al. (Fuel, 2026)

Optimised light sources reduce nocturnal insect attraction at railway stations - Carmen Ludreschl; Ameli Kirse; Tamara R. Hartke; Sneha Bhansali; Sarah J. Bourlat; Christoph Mayer; David Ott; Frederick Bott; Daniel Rutte; Peter Siemt; Marianne Espeland; Christoph Scherber (Biological Conservation, 2026)

Adverse effects posed by phthalates in marine mussels: Metabolism of phase I and II, antioxidant defense and peroxidative damage - Ana Margarida Costa; Ana Catarina Fernandes; David Daniel; Bruno Nunes (Aquatic Toxicology, 2026)

Competing Crises: The intersecting impacts of climate change and housing insecurity in British Columbia, Canada - Aspen Murray; Alexandra Lesnikowski; Daniel Henstra; David Wachsmuth (Regional Environmental Change, 2026)

Wastewater-Based Epidemiology of Hepatitis A in Mexico: Temporal Association with Hospital Admissions and Clinical-Environmental Phylogenetic Relatedness - Mayra Colunga-Saucedo; César David Barcenas-Rivera; Pedro Gerardo Hernández-Sánchez; Martín Magaña-Aquino; María Susana Juárez-Tobías; Juan Carlos Muñoz-Escalante; Daniel E. Noyola; Pedro Torres-González (Food and Environmental Virology, 2026)

Melanized Focal Changes in the Fillets of Farmed Atlantic Salmon: A Clinical Report From a Deep‐Sea Production Site - Håvard Bjørgen; Marit Svendby; Alexander Figenschou; David Persson; Daniel Lauritzen; Marit Stormoen; Erling Olaf Koppang (Journal of Fish Diseases, 2026)
Melanized focal changes (MFCs) are a persistent challenge in Atlantic salmon ( Salmo salar ) aquaculture, affecting product quality and fish welfare. These lesions are generally considered to arise from red focal changes (RFCs), which are often attributed to handling‐related trauma, but underlying mechanisms remain poorly understood. In this case report, we investigated the occurrence and histopathological features of RFCs and MFCs in farmed Atlantic salmon reared in a submerged deep‐sea system, where handling disturbances were minimized. Environmental conditions, including dissolved oxygen levels, were monitored throughout production. Macroscopic lesions exhibiting red, black or mixed discoloration were sampled from the ventral fillet at slaughter (average weight 3.3 kg) and examined histologically. RFCs showed haemorrhage, adipocyte necrosis, extracellular lipid release and early pseudocyst formation within adipose tissue. MFCs displayed diffuse granulomatous inflammation dominated by foamy and pigmented macrophages, with lipid‐filled pseudocystic structures and persistent adipose involvement. Lesions exhibited a polyphasic pattern consistent with fat necrosis–associated inflammation. The presence and progression of RFCs into MFCs under submerged, minimally handled conditions demonstrate that handling‐related trauma is not necessary for lesion initiation. The strong association with adipose tissue suggests endogenous processes—related to lipid metabolism, tissue vascularization, local hypoxia or nutrition—play a central role. Declining environmental oxygen preceding slaughter may exacerbate hypoxia within affected tissues, although its precise influence remains unclear. These findings refine current concepts of MFC pathogenesis and emphasize intrinsic biological drivers over mechanical injury in the development of these lesions in Atlantic salmon.

First Report of Mansonella sp. Microfilariae in Sapajus nigritus: Insights into the Host-Parasite Relationship - Juliana de Moura Medeiros; Diogo Pignatara Coimbra; Alexandre Carvalho Costa; Ana Elisa Barros Medeiros; Beatriz Pereira Coelho; Gustavo Azevedo Quintanilha; Claudia Bezerra da Silva; Jonathan David Ribas Chagas; Cristiane Divan Baldani; Daniel de Almeida Balthazar; Bruna de Azevedo Baeta; Denise Monnerat Nogueira (International Journal of Primatology, 2026)
Primates can share parasites with humans, and understanding host-parasite interactions is essential for evaluating the condition of wild primates, ecological dynamics, and One Health interface, which integrates humans, animal, and environmental health in shared environments. One example is filarial nematodes of the genus Mansonella , for which a lack of in-depth studies of symptoms or blood alterations limits our understanding of their impact on host health and parasite-host dynamics in wild populations. We investigated microfilariae in Sapajus nigritus on Marambaia Island in Rio de Janeiro, Brazil. We also evaluated the host-parasite relationship by assessing the association between microfilarial load with physical and hematological parameters of the hosts. We captured 27 S. nigritus and screened them for microfilariae using blood samples via microscopy—based on morphological and morphometric characteristics—and polymerase chain reaction (PCR), followed by ITS1 sequencing for molecular species identification. We also assessed physical and hematological parameters. We detected microfilariae in 25 individuals (93%) by PCR and in 22 (81%) by microscopy with high mean intensity, mean abundance, and parasite load. We classified the infected S. nigritus as healthy based on both physical and hematological parameters. A multivariate linear model revealed a significant positive association between Mansonella sp. load and red blood cell parameters, while associations with white blood cell parameters were negative and nonsignificant. These results suggest that S. nigritus coexists with Mansonella sp. microfilariae without apparent clinical signs of disease, potentially indicating immunological tolerance. Our findings highlight the importance of understanding host-parasite interactions in wild primates, particularly in environments where human-primate interfaces may occur, suggesting a potential risk of cross-species parasite transmission.

Nature immersion in virtual reality has limited hypoalgesia effects for muscle pain or motor performance benefits during prescribed and self-regulated tasks - Callum A. O’Malley; David J. Harris; Sam W. Hughes; Jack E. Cottrell; Daniel Lloyd; Samuel J. Vine; Tom Arthur (European Journal of Applied Physiology, 2026)
Purpose Virtual reality (VR) reduces experimental and clinical pain, but whether these effects extend to naturally occurring muscle pain (NOMP) during exercise remains unclear. This study examined whether immersive nature-based VR attenuates NOMP and improves motor performance during prescribed and self-regulated exercise. Methods Two within-participant crossover studies were conducted involving 12 (Study 1) and 24 (Study 2) healthy participants. In Study 1, participants completed a stepped incremental cycling task to exhaustion. In Study 2, participants performed self-regulated intermittent isometric handgrip contractions at light (13/100) and strong (50/100) perceived effort. Tasks were completed under immersive VR (nature scene), two-dimensional sham, and no-intervention control conditions in pseudo-randomised, counterbalanced orders. Pain onset, NOMP intensity, perceived effort, and time to exhaustion were assessed in Study (1) Muscle pain intensity and force production were measured in Study (2) Repeated measures ANOVAs and assessed main condition effects. Results Immersive VR did not delay pain onset $$\:(p=.159)$$ , prolong time to exhaustion $$\:(p=.204)$$ , or lower perceived effort compared within sham or control conditions $$\:({p}^{{\prime\:}}s>.215)$$ . A small, yet practically meaningful, reduction in NOMP intensity occurred early during cycling $$\:({F}_{\text{2,22}}=4.518,p=.023,\:{\eta\:}_{p}^{2}=0.291[\text{0.002,0.500}\left]\right)$$ but was not sustained at later phases of the task $$\:({p}^{{\prime\:}}s . In Study 2, NOMP intensity $$\:(p=.815)$$ and force production measures $$\:({p}^{{\prime\:}}s were similar across conditions. Conclusion Nature-based immersive VR had limited effects on NOMP and motor performance. Pain types that are peripherally driven, like NOMP, may be less affected by VR interventions which target central mechanisms of pain modulation. Thus, hypoalgesia effects with VR are potentially pain-type dependent.

Associations between metabolic dysfunction–associated steatotic liver disease and physical and mental health–related quality of life in older adults - Marzieh Nasr Azadani; Mojtaba Lotfaliany; Najmeh Davoodian; Michael Berk; Robyn L. Woods; Joanne Ryan; John J. McNeil; Julie A. Pasco; Nigel Stocks; Stuart K. Roberts; William Kemp; Ammar Majeed; et al. (GeroScience, 2026)

From larva to adult: Growth, nutritional condition, and trophic ecology of Engraulis anchoita from the northern stock - Marina Do Souto; Daniel R. Brown; Ezequiel Leonarduzzi; Stefanía Cohen; David E. Galván; Marina V. Diaz (Continental Shelf Research, 2026)

Antibacterial and cell-instructive chitosan/NeoNectin hydrogels crosslinked via click chemistry enable osteogenic differentiation within ultra-soft matrices - Daniel Cabrerizo-Aguado; Federica Barbugian; Maria-Pau Ginebra; Xinru Wang; David Baker; Jose Maria Manero; Jordi Guillem-Marti (Carbohydrate Polymers, 2026)

Comparative laboratory analysis of window sound insulation across glazing types in the 50–5000 Hz range: Evaluation of different low-frequency methods - David Caballol; María Ángeles Navacerrada; Daniel de la Prida; Alexander Díaz-Chyla; Antonio Pedrero (Building and Environment, 2026)

Assessing Copper Mobility and Bioavailability over Time (Ageing) in Vineyard Soils Following Bordeaux Mixture Application: Influence of Soil Organic Matter and pH - Raquel Vázquez-Blanco; Claudia Campillo-Cora; Ruth Pereira; Anabela Cachada; Manuel Arias-Estévez; David Fernández-Calviño; Daniel Arenas-Lago; Manuel Conde-Cid (Water, Air, & Soil Pollution, 2026)
Cu-based pesticides are widely used in vineyards to control fungal diseases, but their repeated application leads to Cu accumulation in soils, posing environmental and ecological risks. Since Cu mobility, bioavailability, and potential toxicity depend not only on total concentrations but also on chemical fractionation and ageing processes, this study investigated Cu speciation—including water-soluble Cu (Cu W ), exchangeable Cu (Cu CaCl2 ), and potentially bioavailable Cu (Cu DTPA ) in 10 vineyard soils from northern Iberia. Soils were analyzed both unspiked and after laboratory spiking with Bordeaux mixture. Total Cu contents in unspiked soils ranged from 46 to 500 mg kg −1 , whereas Cu W and Cu CaCl2 remained below 14.2 mg kg −1 , showing that only a small fraction of total Cu is immediately mobile or bioavailable. Spiking significantly increased Cu W and Cu CaCl2 (up to 89.8 and 164.6 mg kg −1 , respectively), with the highest levels observed in acidic soils with low organic matter, demonstrating that soil properties strongly modulate Cu mobility. Cu DTPA contents were higher, ranging from 3.9 to 94.3 mg kg −1 in unspiked soils, and reached 956.1 mg kg −1 after spiking, reflecting medium- to long-term potential bioavailability and ecological risk. Incubation over time led to decreases in Cu W and Cu DTPA , indicating that ageing progressively shifts Cu from labile to more stable fractions, reducing mobility and bioavailability. These results highlight that assessments based on freshly spiked soils may overestimate environmental risks, whereas long-term accumulation in field conditions poses lower hazards, underscoring the importance of considering soil properties and ageing effects in vineyard Cu management and risk evaluation.

Helicobacter pylori in Israel: real-life data from a large database on frequency of non-invasive testing, follow-up testing and risk factors for infection - Naim Abu-Freha; Daniel L. Cohen; Alexander Fich; Adi Nubani; David Yardeni; Muhammad Abu-Arar; Athar Azbarga; Aseel Azbarga; Orian Simhon; Doron Boltin (European Journal of Clinical Microbiology & Infectious Diseases, 2026)

Effect of agroforestry shading on Robusta coffee (Coffea canephora) suitability under climate change in Uganda - Isaac T. Okurut; David Abigaba; Catherine Mulinde; Saul D. Ddumba; David Williamson; Daniel Waiswa; Bernard Fungo (Agroforestry Systems, 2026)

Genetic Links to Gut Microbiome Variation in the Yellow‐Rumped Warbler Hybrid Zone - Marcella D. Baiz; Lan‐Nhi Phung; Daniel Pierce; Stephanie J. Szarmach; Johanna K. Beam; Shawn Healy; Alan Brelsford; David P. L. Toews (Molecular Ecology, 2026)
The gut microbiome is a dynamic ecosystem wherein microbes can exert beneficial, neutral or harmful effects on their host organism. Previous research has supported a large role for the environment in shaping avian gut microbiome diversity, but host‐specific factors that regulate gut microbiome variation remain elusive. In hybrid zones, genetic recombination shuffles divergent alleles among backcrossed individuals allowing associations between genomic regions and specific traits to be identified. In this study, we use an association mapping approach to investigate the contribution of host alleles in shaping gut microbiome composition. We collected samples from across the Yellow‐rumped Warbler hybrid zone ( Setophaga coronata coronata × S. c. auduboni ), including from distantly allopatric sites. The narrow width of this hybrid zone suggests that selection acts against hybrids, although the source of that selection is unclear. We quantified gut microbiome variation using 16S amplicon sequencing and produced genome‐wide sequence data for hosts to link warbler genotypes to microbiome traits. This study is one of the first to identify candidate genes underlying gut microbiome variation in wild passerines. Notably, candidate loci include genes with immune function, redox status and gene regulation functions; two genes overlap with candidate genes identified in another avian system. Genetic differentiation was weak among candidate loci, indicating that alleles associated with gut microbiome variation are shared between subspecies. Our analysis of microbiome variation across nearly the full breeding range of an avian species complex yields important insights on the genetic factors that shape symbiotic interactions in vertebrate systems.

Inbreeding in a Fission–Fusion Equid Decreases Following an Increase in the Number and Redistribution of Water Sources - Noa Yaffa Kan‐Lingwood; Alan R. Templeton; Naama Shahar; Daniel I. Rubenstein; Amos Bouskila; Shirli Bar‐David (Molecular Ecology, 2026)
Social structures and habitat configuration influence inbreeding in wild populations. In harem‐forming, female‐defence polygynous equids, social organization promotes inbreeding avoidance, but this has not been studied in fission–fusion, resource‐defence equid species. Because reproduction depends on solitary males establishing territories near resources, shifts in resource distribution are expected to affect mating patterns and inbreeding. We examined inbreeding patterns in the Asiatic wild ass ( Equus hemionus ) in the Negev Highlands, Israel (2019–2023), by comparing mating‐pair relatedness (MPR) to all female–male dyads, within each year, and testing whether these patterns changed following a 2020 water source increase and redistribution by increasing the number of new territorial males. We then examined whether females overall tended to mate with veteran (i.e., mating since 2019) or new (i.e., mating since 2020) reproducing males, and compared female–male genetic relatedness between these two groups. Using 2509 faecal samples (2020–2024) genotyped at 625 SNPs, we assigned parentage to 73 offspring and estimated the MPR. Within years, the MPR was higher than random in 2019 and 2020 but declined after the water source manipulation, in 2021–2023. The MPR was higher near the original water source than near the new water sources. Most females (87.3%) mated with new reproducing males, and in 68.3% of cases, new reproducing males were less related to females than were veteran males. Our study suggests that reduced inbreeding is possible in fission–fusion populations when females have extended mating opportunities with territorial males, which can be achieved by expanding the distribution of resources.

Semi‐Natural Habitats Buffer the Effects of Crop Diversification on Arthropod Pest Control Services in Agricultural Landscapes - Thomas Perrot; Léa Beaumelle; Eva Thomine; Yann Tricault; Nicolas Desneux; Matthias Albrecht; Péter Batáry; Felix Bianchi; Klaus Birkhofer; Aliette Bosem Baillod; Rebecca Chaplin‐Kramer; Anne‐Marie Cortesero; et al. (Ecology Letters, 2026)
Crop diversification is a promising strategy to strengthen pest control services in agricultural landscapes. Diversifying crops may limit pests through host crop dilution or by enhancing top‐down control by their enemies. However, crop diversification may also benefit generalist pests through higher resource continuity. Using a large‐scale dataset encompassing 742 landscapes across 13 countries, we assessed the impact of landscape‐scale crop diversity on the abundance of natural enemies, the potential for biological control, and insect pest abundance. Crop diversification did not increase the overall abundance of natural enemies or the potential for biological pest control. Instead, crop diversity primarily favoured the abundance of specialist natural enemies and pests in highly simplified landscapes, an effect that was reduced in landscapes with high proportions of semi‐natural habitats. Lastly, low proportions of host crops in the landscape were associated with higher abundances of natural enemies. Taken together, our results indicate that crop diversification is not a ‘one size fits all’ strategy to control agricultural pests, and that other landscape characteristics, such as high amounts of semi‐natural habitats, must be considered to enhance biological pest control services.

Optimized Metabolic Conditions Reveal the Adipogenic Competence of Wharton’s Jelly MSCs: Insight from Literature Review and Experimental Validation - Cécile Pinault; Audrey Cras; Michel-Gabriel Cazenave; Anne Schnitzler; Jeanne Rancic; Jerome Larghero; Sophie Vacher; Curtis L Cetrulo; Daniel Balvay; Ivan Bieche; Alexandre G. Lellouch; David M. Smadja (Stem Cell Reviews and Reports, 2026)

Multistage metasomatism during experimental reaction of axinite-(Fe) with F-, Cl-, OH-, Si-bearing fluids at 600 °C, 200 MPa and 800 °C, 500 MPa - Wiktoria Gmochowska; Daniel Harlov; Ewa Słaby; David Chew; Rafał Juroszek; Veronica Peverelli; Gabriela A. Kozub-Budzyń (Mineralogy and Petrology, 2026)
Many studies have shown that geological processes, such as metamorphism and metasomatism, consist of multiple superimposed events developing over various timescales, with each stage overprinting the previous one and thus complicating reconstruction of the complete history. Here, we report the use of a natural calcium aluminum borosilicate mineral axinite-(Fe) [(Ca 2 Fe 2+ Al 2 BSi 4 O 15 (OH)], which occurs in skarn deposits, as a starting material in a series of experiments representing various metasomatic processes. The fluids used include NaF+H 2 O, NaCl+H 2 O, KCl+H 2 O, CaCl 2 +H 2 O, 2 M NaOH, 2 M KOH, Ca(OH) 2 +H 2 O, and Na 2 Si 2 O 5 +H 2 O, which are representative of common crustal fluids. The experiments were conducted at 600 °C; 200 MPa and at 800 °C; 500 MPa. The dominant experimental product was grandite garnet and, to a minor extent, wollastonite, titanite, and fluorite. Grandite garnet compositions vary significantly with respect to the fluid composition and the P-T conditions used, showing a wide range of grossular to andradite solid solutions. Under both P-T conditions, andradite-grossular zoning develops in experiments with metal-hydroxide–bearing fluids, whereas andradite-rich grandite garnet crystallizes in experiments utilizing Na 2 Si 2 O 5 +H 2 O. Despite varying physicochemical conditions, no differences are observed in the REE-chondrite normalized patterns from the product grandite garnet in each of the experiments. Wollastonite contains bustamite and ferrobustamite components whose composition is strongly controlled by the coexisting grandite garnet. These experiments provide important insights into understanding how first order skarn mineral assemblages may be altered during subsequent fluid-rock interaction under a variety of P-T conditions, highlighting how variations in the grandite garnet composition respond to variations in fluid composition.

A Replicable NeuroMark Template for Whole-Brain SPECT Reveals Data-Driven Perfusion Networks and Their Alterations in Schizophrenia - Amritha Harikumar; Bradley Baker; Daniel Amen; David Keator; Vince D. Calhoun (Neuroinformatics, 2026)
Single photon emission computed tomography (SPECT) is a highly specialized imaging modality that enables measurement of regional cerebral perfusion and, in particular, regional cerebral blood flow (rCBF). Recent technological advances have improved SPECT quantification and reliability, making it increasingly useful for studying rCBF abnormalities and perfusion–network alterations in psychiatric and neurological disorders. To characterize large-scale functional organization in SPECT data, data-driven decomposition methods such as independent component analysis (ICA) have been used to extract covarying perfusion patterns that map onto interpretable brain networks. Blind ICA provides a data-driven approach to estimate these networks without strong prior assumptions. More recently, a hybrid approach that leverages spatial priors to guide a spatially constrained ICA (sc-ICA) have been used to fully automate the ICA analysis while also providing participant-specific network estimates. While this has been reliably demonstrated in fMRI with the NeuroMark template, there is currently no comparable SPECT template. A SPECT template would enable automatic estimation of functional SPECT networks with participant-specific expressions that correspond across participants and studies. The current study introduces a new replicable NeuroMark SPECT template for estimating canonical perfusion covariance patterns (networks). We first identify replicable SPECT networks using blind ICA applied to two large sample SPECT datasets. We then demonstrate the use of the resulting template by applying sc-ICA to an independent schizophrenia dataset. In sum, this work presents and shares the first NeuroMark SPECT template and demonstrating its utility in an independent cohort, providing a scalable and robust framework for network-based analyses.

Mesoscale eddies in the Southern Ocean influence foraging trip behaviour of multiple penguin species - Joshua C. Wilson; Philip N. Trathan; Hugh J. Venables; David G. Ainley; Matthis Auger; Alistair M.M. Baylis; Charles-André Bost; Louise Emmerson; Kimberley T. Goetz; Mark A. Hindell; Jefferson T. Hinke; Catharine Horswill; et al. (Progress in Oceanography, 2026)

Effects of electrical stimulation on metabolomic and lipidomic profiles of beef Longissimus thoracis muscle - Daniel Silva Antonelo; Victória Rizzato Paschoal; Saulo da Luz e Silva; Alessandra Fernandes Rosa; Daniela Alvarez Vasco; Mariane Beline; David Edwin Gerrard; Ricardo Vieira Ventura; Júlio César de Carvalho Balieiro (Meat Science, 2026)

A critical review of emerging technologies for direct lithium extraction from brines: Current industrial practices, challenges for sustainable process integration, and a view of current commercialization status - David J. Shoemaker; Xiaobo Lei; William E. Holmes; Hui Yan; Mehdi Mokhtari; Dhan Lord B. Fortela; Emmanuel D. Revellame; Rafael Hernandez; Mark E. Zappi; Daniel Dianchen Gang (Journal of Cleaner Production, 2026)

Influence of effective pressure on the hydraulic properties of intact, micro-fractured and macro-fractured Westerly Granite under hydrostatic conditions - Mahesh Kajendran; Daniel Faulkner; David McNamara; Anthony Lamur; Yan Lavallée (International Journal of Rock Mechanics and Mining Sciences, 2026)

Climate change, artisanal and small-scale mining, and livelihood diversification: Whither the agrarian workforce? - Daniel Siaw; George Ofosu; David Sarpong (Environmental Science & Policy, 2026)

Analytical view factors in urban canopy models with trees: Model development and case study in Brooklyn, New York City - Chenghao Wang; Yuqi Huang; David L. Miller; Daniel S.W. Katz; Arnab K. Ghosh (Building and Environment, 2026)

Silymarin reverses post-traumatic stress-induced memory impairment in mice by containment of oxidative stress, cholinergic dysfunction, and modulation of neuronal caspase-3 expression - Joseph O. T. Emudainohwo; Benneth Ben-Azu; Daniel T. Esuku; Bienose S. Chijioke; Prosper Iwhiwhu; Saviour G. Usin; Emmar E. Okpakpor; David A. Oyeniran; Omamuyovwi M. Ijomone; Raymond I. Ozolua (Naunyn-Schmiedeberg's Archives of Pharmacology, 2026)

Where forests break, bats connect: bat–flower networks in a fragmented tropical dry forest - Sara Sofia Medina-Benavides; Luiz Alberto Dolabela Falcão; Camila Ferreira Souza; David Isac da Silva Romão; Andrea Bernal-Rivera; Pamela Carvajal-Nieto; Raíssa Taís Santos; Daniel Maximo Correa Alcantara; Camila Silveira Souza (Mammal Research, 2026)
Tropical dry forests host essential mutualistic interactions between bats and plants, yet the intense fragmentation of these ecosystems threatens the persistence and structure of floral visitation networks. In Neotropical landscapes, these interactions exhibit high spatial and temporal variability driven by resource availability, plant turnover, and the mobility of bat pollinators. Despite substantial advances, community-level assessments that integrate β-diversity, modularity, and functional traits remain scarce, limiting our understanding of how bat–flower networks respond to habitat fragmentation. Here we show, using interaction-network and β-diversity analyses across eight fragments of Tropical Dry Forest in southwestern Colombia, that the bat–flower network is strongly modular and specialized, with modules primarily shaped by local plant composition. We found that species turnover, especially among plants, is the dominant component of β-diversity in interactions, whereas rewiring among co-occurring species is low and unrelated to geographic distance between fragments. We also demonstrate that four bat species form the cohesive core of the network and that morphological attributes such as body condition and face-skull ratio negatively predict their capacity to connect modules. These findings reveal how plant heterogeneity and bat mobility jointly determine network cohesion and functional redundancy in fragmented landscapes. Understanding these mechanisms is crucial for forecasting the resilience of bat–plant mutualisms under increasing anthropogenic pressures in tropical dry forests.

Comparative risk factors among pancreatic adenocarcinoma patients vs. neuroendocrine and other pancreatic cancer patients - Daniel C. Beachler; Lauren E. Parlett; Jessica L. Petrick; Stephan Lanes; John Barron; David Debono; Michael J. Fisch (Cancer Causes & Control, 2026)

A Digital Twin Ocean: can we improve coastal ocean forecasts using targeted marine autonomy? - Dale Partridge; Deep Banerjee; David Ford; Ke Wang; Jozef Skákala; Juliane Wihsgott; Prathyush P. Menon; Susan Kay; Daniel Clewley; Andrea Rochner; Emma Sullivan; Matthew Palmer (Ocean Science, 2026)
This study outlines the development and testing of a Digital Twin Ocean (DTO) framework, aimed at improving coastal ocean forecasts through the use of autonomous underwater gliders. A fleet of gliders were deployed in the western English Channel during August-September 2024 to collect measurements of temperature, salinity, chlorophyll and oxygen, aiming to track the movement of the harmful algal bloom Karenia mikimotoi. Measurements were assimilated into a very high resolution (1.5 km) numerical forecast model, with an implementation of biogeochemistry data assimilation for this purpose. The model forecast was then used by a probabilistic uncertainty model to plan a series of waypoints to navigate the glider fleet towards features of interest. By utilising a continuous feedback loop of measurement, prediction, guidance, and refinement a system with real time coupling between the real ocean environment and its digital counterpart has been established. Building upon a prior pilot study of Ford et al. (2022), this work improves every element of the system to address several limitations of the prior configuration. Whilst a bloom was present in the wider area, measurements and modeling suggest it didn't enter the glider operation zone. Despite this and other operational challenges the mission clearly demonstrates the benefits of such a system. The ability to simultaneously track multiple features of interest, namely chlorophyll maxima and oxygen minima, would not have been possible with a single glider resulting in significant benefits to the system. Furthermore, the improvement to biogeochemical forecasting has been demonstrated through a series of post mission experiments, highlighting the advantages of high temporal resolution observations and increased spatial resolution of the model.

Ancient Divergences of the Maritime Alpine Tree Larix lyallii (Pinaceae) Contrasts With Patterns in Other Pacific Northwest Coastal Disjuncts - Daniel F. Turck; Sean Harrington; Lukas P. Grossfurthner; Quinn Buzzard; Jack Sullivan; David C. Tank (Molecular Ecology, 2026)
The disjunct mesic forests of the Pacific Northwest, occurring on the west side of North America's Coastal Ranges as well as in the Northern Rocky Mountains, have emerged as a model system for comparative phylogeography. Less well‐known, however, are the alpine and subalpine plants that mirror this distribution—here referred to as the Maritime Alpine Disjuncts. The phylogeographic histories of lowland coastal disjunct species are the result of either the Cascade orogeny, which separated once‐contiguous mesic habitats, post‐Pleistocene dispersal of species between the northern Interior and coastal forests, or a complex mix of these two processes. In the current study, we investigate the phylogeographic history of Larix lyalii (subalpine larch)—a narrowly distributed Maritime Alpine Disjunct species—to determine whether these geographically related disjunct communities are the result of processes similar to other Pacific Northwest disjuncts. We sample the entire range of L. lyalii and use ddRAD data to explore hypotheses on the timing of these disjunctions. Using a dataset of 28 individuals and 30,425 loci we find three major clades within the species: a Cascade Mountain clade sister to northern and southern Interior clades. We estimate the major clade divergences to be on the order of one to three million years with evidence of population admixture between the two Rocky Mountain clades surrounding the Flathead Valley in Northwestern Montana, USA. L. lyallii 's present phylogenetic structure has origins predating the Pleistocene. While the timing of this structure is largely consistent with an ancient vicariance event present in some lowland coastal disjunct species, the mechanisms for this are likely different in this high elevation tree species.

A Simple Stomatal Model That Unifies the Metabolic and Hydraulic Control of Carbon and Water Flux - Thomas N. Buckley; Julien Lamour; David M. Barnard; Daniel W. Buckley; Andrew J. Jarvis; Antonio Diaz‐Espejo; Alistair Rogers; Lawren Sack (Global Change Biology, 2026)
A striking incongruity has long persisted in the modeling framework typically used to predict CO 2 and water vapor exchange between land plants and the atmosphere across scales. Generally, photosynthetic CO 2 demand is estimated using process‐based models of biochemistry, but the biophysical stomatal constraint on photosynthesis and transpiration ( g sw ) is estimated using “black box” empirical or optimization‐based models. Empirical models of g sw can only be parameterized in the domain of the training data, limiting confidence in predictions made outside that domain; optimization‐based models rely on eco‐evolutionary “goal functions” about which there remains poor consensus. To resolve this incongruity, we present a novel process‐based model for g sw with parameters that all have biophysical meaning, and of which only two require empirical fitting, thus ensuring tractability for application in land‐surface models (LSMs). The model successfully reproduces variation in g sw diurnally, globally, and in relation to soil drought and when drought and heat co‐occur. The model also has greater functionality than previous models, by predicting stomatal closure under soil drought, the effect of variations in soil‐leaf hydraulic conductance, stomatal closure in response to soil and atmospheric drought in darkness, and stomatal opening at high temperatures in both low and high light. With structure and parameters based on physiological processes, this model can translate continuing improvement in understanding of underlying biophysical and molecular genetic causes into predictions for carbon and water exchange, offering greater confidence for predicting the influence of stomata on land‐surface exchanges of mass and energy in future climates.

Soil Microbial Diversity and Network Organization Respond to Land Use and Agricultural Inputs Worldwide - Zaki Saati‐Santamaría; Sergio Pérez‐Gorjón; Daniel Abel‐Schaad; Alberto Acedo‐Bécares; Francisca Alba‐Sánchez; Amanda Lucia Alves; Weronika Babinska‐Wensierska; Jorge Ariel Marfetán; Carolina Barroetaveña; Kara Barry; Francisco Beitia; Katerina Biniari; et al. (Global Change Biology, 2026)
Soil microbiomes are critical for ecosystem functioning, yet the global influences of climate and agricultural practices on their diversity and structure remain incompletely characterized. Here we analyzed 1921 soil samples from 33 countries worldwide across diverse biomes to assess how climate gradients and agricultural inputs, including pesticides and fertilizers, shape prokaryotic and fungal communities. We found that microbial diversity peaks at intermediate temperatures and differs markedly between natural and agricultural soils, with agriculture increasing microbial diversity while altering community composition and ecological guilds. Pesticide use selectively reduced bacterial diversity and shifted fungal guilds, decreasing ectomycorrhizal fungi while increasing saprotrophs, whereas fertilization reduced microbial network cohesion, with organic and inorganic fertilizers eliciting distinct community responses. These findings reveal that climatic factors and agricultural management jointly influence soil microbial diversity, community structure, and network connectivity, with implications for soil health and ecosystem resilience in managed landscapes. Overall, our results demonstrate that agricultural practices, including the use of pesticides and both organic and inorganic fertilizers, act as strong ecological filters that reshape soil microbiomes worldwide—enhancing apparent diversity but driving a functional shift toward less mutualistic, more fragmented, and potentially less resilient communities.

Gnotobiology: from 19th-century global foundations to 21st-century omics — six decades of Czech contribution to microbiome research - Helena Tlaskalová-Hogenová; Tomáš Hrnčíř; Renata Štěpánková; Ilja Trebichavský; Tomáš Hudcovic; Igor Šplíchal; Alla Šplíchalová; Marek Šinkora; David Funda; Daniel Sánchez; Miloslav Kverka; Zuzana Jirásková Zákostelská; et al. (Folia Microbiologica, 2026)
Gnotobiology, from the Greek gnotos (meaning ‘known’) and bios (meaning ‘life’), is a research discipline that uses organisms with a defined microbiological status to study the interaction between hosts and microbes. This review traces six decades of Czech gnotobiology, beginning with the launch of a dedicated gnotobiology programme at Nový Hrádek in 1962 by Jaroslav Šterzl, whose visionary aims anticipated by decades the current recognition of the microbiota as a central determinant of immune and broader physiological function. The site — originally established in 1953 as the Biological Station — was thereby transformed into one of only four gnotobiological laboratories worldwide at that time and the first in Central and Eastern Europe. The facility pioneered the rearing of germ-free piglets, rats, rabbits, and mice, establishing the experimental foundation for the laboratory’s work on immune ontogeny, mucosal immunity and tolerance, and microbiota–host interactions in immune development and regulation. This review discusses the key discoveries made using these models. Among them, work at the Institute of Microbiology (Prague and Nový Hrádek) demonstrated that germ-free animals have underdeveloped lymphoid tissue and impaired adaptive immunity. The review also describes the subsequent development of gnotobiotic models of human metabolic, immune-mediated, neoplastic, and neuropsychiatric diseases. The completion of the Human Genome Project in 2001 and the emergence of microbial metagenomics in the early 2000s sparked renewed interest in host-microbe interactions and led to a rediscovery of gnotobiotic approaches as essential tools for establishing causation in microbiome research. We examine how integrating these approaches with high-throughput sequencing, metabolomics, and other omics technologies has shifted the focus from cataloguing the microbiome to mechanistically dissecting host–microbe interactions. Finally, we outline future directions, including humanized gnotobiotic models, microbiota-based therapeutics, and the convergence of gnotobiology with personalized medicine and synthetic biology.

Global patterns and regional insights into kelp forest protection, restoration, and stewardship - Aaron M. Eger; Adriana Verges; Akshata MehtaFalkland Islands; Albert Pessarrodona; Alejandra Mora-Soto; Alejandro Bernal-Ibáñez; Aleksandra Smorygo; Alexandria M. Niese; Alexis Savard-Drouin; Andrew Kalani Carlson; Ang Put; Annalisa Falace; et al. (Journal of Applied Phycology, 2026)
Kelp forests are among the most extensive and productive coastal ecosystems, yet they remain underrepresented in global conservation policy despite widespread declines driven by interacting global- (i.e., ocean warming, marine heatwaves) to local-scale stressors. At the same time, kelp conservation and restoration efforts are expanding rapidly across regions, but measures of success and syntheses tend to primarily focus on ecological conditions and trends, not on conservation and restoration actions. To fill this gap, we developed a comparative global dataset of kelp conservation initiatives based on expert-derived regional narratives from 209 participants spanning 35 regions with kelp forests. We applied a structured presence–absence scoring framework across six domains: conservation actions, restoration approaches, governance actors, conservation objectives, social dimensions, and funding structures, supplemented by regional expert knowledge to enable cross-regional comparison. Across regions, conservation was characterised by strong emphasis on monitoring (86% of regions), multi-actor governance (scientific institutions 94%, government agencies 86%), and protecting existing forests (66%), while active restoration was undertaken in half of the regions. Social engagement (66%) and links to fisheries and livelihoods (69%) were widespread, whereas explicit climate adaptation objectives were less common (17%). We identify a set of conservation profiles that describe how kelp forest conservation is advancing in different ecological and governance contexts worldwide. These findings highlight that scaling kelp conservation is as dependent on the social, financial, institutional, and policy systems that govern implementation, as it is on ecological knowledge and technical capacity. By bridging regional knowledge with global analysis, this study provides a framework for aligning locally grounded conservation action with global biodiversity targets.

Unveiling the therapeutic potential of Mondia whitei (Hook.f.) skeels in polycystic ovary syndrome via network pharmacology and molecular docking - Akingbolabo Daniel Ogunlakin; Owona Pascal Emmanuel; Christopher B. Olowosoke; Adeleye Adegboyega Edema; Ahamefula Ansalm Ahuchaogu; Caleb Joel Nwaogwugwu; Seun Elizabeth Kuyoro; Abdullahi Adeyemi Adegoke; Tope Abraham Ibisanmi; Mubo Adeola Sonibare; Enitan Omobolanle Adesanya; Ajibola David Adelakun; et al. (In Silico Pharmacology, 2026)

Analysis of second-generation epigenetic clocks reveals further associations between disproportionate biological ageing and hippocampal volume - Lidija Milicic; Michael Vacher; Vincent Doré; Pierrick Bourgeat; Rosita Shishegar; James D. Doecke; Paul Maruff; Christopher C. Rowe; Victor L. Villemagne; Michael Weiner; Paul Aisen; Ronald Petersen; et al. (GeroScience, 2026)

Chemical analysis and biological activity of crude extracts obtained from leaves of Passiflora foetida (Subg. Passiflora ) and Passiflora morifolia (Subg. Decaloba) - Ohana Luiza Santos de Oliveira; Oscar Caetano da Silva Neto; Gabriele Rodrigues Conceição; Fábio Alexandre Chinalia; Daniel Pereira Bezerra; Milena Botelho Pereira Soares; Valdenizia Rodrigues Silva; Luciano de Souza Santos; Carla Junqueira Moragas Tellís; João Victor da Silva e Silva; Caroline Conceição da Guarda; Jorge Mauricio David; et al. (Natural Product Research, 2026)

A framework for updating the regulation of isolated power systems in light of the energy transition imperative: The case of Chile - Cristiane Silva-Carvalho; Johanna Höhl; Carlos Olivos; Juan Carlos Osorio-Aravena; Rodrigo Palma-Behnke; Dasla Pando-Flores; Bernardo Severino; David Watts; Daniel Olivares; Alejandro Angulo; Joaquín Lazo; Humberto Vidal (Utilities Policy, 2026)

Techno-economic assessment of Hydrogen production in Colombia using High-Temperature Gas-Cooled Reactors - Yennifer Tatiana Gómez Carvajal; David Galeano; Daniel Morales (Next Research, 2026)

Too close for comfort? Mesozooplankton dynamics in Marine Protected Areas adjacent to mining tailings on the southeastern Brazilian shelf - Bianca Salvador; Laura Rodrigues da Conceição; Renato David Ghisolfi; Mônica Souza Mendes; Tayná Rosa Martins Paiva; Valéria da Silva Quaresma; Daniel Rigo; Gustavo Martins Rocha; Paulo Sergio Salomon; Gabriel Harley Costa Santos; Priscila Teixeira-Amaral; Márcio Murilo Barboza Tenório; et al. (Marine Environmental Research, 2026)

The first transcriptome of the diaphanous deep-sea hatchetfish Sternoptyx diaphana Hermann, 1781 (Teleostei: Sternoptychidae) - André Gomes-dos-Santos; Daniel Moita; David Barros-García; André M. Machado; Ana Matos; Nair Vilas-Arrondo; L. Filipe C. Castro; Elsa Froufe (Marine Genomics, 2026)

Generative artificial intelligence use in automated urban ecological assessments requires substantial human oversight - Daniel Richards; David Worden; Sandra Lavorel (Landscape and Urban Planning, 2026)

Fault and fracture response to Neogene extension in the western Delaware Basin, Texas - David A. Ferrill; Adam J. Cawood; Kevin J. Smart; Daniel J. Lehrmann; Bethany Rysak Bryce; Mark A. Evans; Lisa D. Stockli; Daniel F. Stockli (Journal of Structural Geology, 2026)

Assessment of installable offshore solar power capacity in Spain based on maritime spatial planning - Carla Fernández-Blanco; Almudena Filgueira-Vizoso; David Cordal-Iglesias; Ana Isabel García-Diez; Daniel Fernández-Mira; Laura Castro-Santos (Journal of Cleaner Production, 2026)

Chlorinated organophosphate esters in Brazilian solid waste: concentrations, national load estimates, and regulatory implications for a circular economy - Hansel David Burgos Melo; Rafael Veronez; Juliana de Souza-Araujo; Angie Paola Santacruz Salas; Olumide Emmanuel Akinrinade; Sandro Donnini Mancini; Daniel Drage; Stuart Harrad; André Henrique Rosa (Environmental Pollution, 2026)

Wave direction controls erosion response of embayed beaches under climate change - Siegmund Nuyts; David M. Kennedy; R. Jak McCarroll; Daniel Ierodiaconou (Coastal Engineering, 2026)

Management of tree growing and agroforestry in an agroforested landscape: Institutions, policies, and stakeholders in Mt. Elgon Water Tower, Uganda - George Kimbowa; David Mfitumukiza; Saul Daniel Ddumba; Denis Nseka; Paul Isolo Mukwaya; Frank Mugagga (Regional Environmental Change, 2026)

Copper Leaching in Vineyard Soils Following Bordeaux Mixture Application: Column Experiments - Manuel Conde-Cid; Raquel Vázquez-Blanco; Antía Gómez-Armesto; Ruth Pereira; Anabela Cachada; Manuel Arias-Estévez; Daniel Arenas-Lago; David Fernández-Calviño (Journal of Soil Science and Plant Nutrition, 2026)

Creation and Effectiveness of a HeadSmart-Based Primary Provider Education Tool for Timely Pediatric CNS Tumor Diagnosis - William Daley; Daniel Pacheco; Claire F. Miller; David Walker; Adam L. Green (Journal of Cancer Education, 2026)

Acute effects of anodal transcranial direct current stimulation on maximal voluntary force, repeated maximal isometric contractions and corticospinal excitability in healthy young adults - David Colomer-Poveda; Irene Mera-González; Daniel Marcos-Frutos; Luna Botana-López; José Andrés Sánchez-Molina; Virginia López-Alonso; Gonzalo Márquez (European Journal of Applied Physiology, 2026)

Global groundwater contamination by geogenic fluoride - Shakir Ali; Pratibha Mishra; K. Brindha; Mélida Gutiérrez; Rakesh Kumar; Emmanuel Daanoba Sunkari; Patrick Kirita Gevera; Enn Karro; Johnbosco C. Egbueri; Reza Dehbandi; Rohana Chandrajith; Peiyue Li; et al. (Environmental Geochemistry and Health, 2026)
Fluoride (F¯) is a global geogenic contaminant in groundwater, occurring at elevated concentrations across almost every continent. While optimal fluoride intake benefits dental health, levels exceeding the WHO safe limit (1.5 mg L −1 ) can cause dental fluorosis and even severe skeletal fluorosis, with drinking water being the primary exposure pathway. Understanding the global occurrence and geochemistry of fluoride in groundwater is essential for minimizing associated health risks. Therefore, this study reviews the incidence, distribution, mobilization mechanisms of fluoride in groundwater, and identifies the key knowledge gaps related to fluoride contamination worldwide. The study presents a large-scale synthesis of contaminated aquifers, cost-effective defluoridation methods, socio-economic challenges, and strategies for safe drinking water supply. This was done by adopting the PRISMA 2020 systematic review framework with review period between 1953 and 2025. Findings confirm that fluoride contamination is prevalent in Asia, Africa, the Middle East, Europe, and the Americas, driven mainly by fluorine-bearing minerals in aquifers. Key factors intensifying the contamination includes hydrogeochemical conditions such as high pH, Na–HCO 3 water types, and low calcium (Ca 2+ ) concentrations. Identified hotspot are the East African Rift Valley, Indo-Gangetic plains, northern China, and volcanic or geothermal regions in Mexico and Türkiye, with localized anomalies observed in Estonia, Poland, and Australia. Anthropogenic inputs contribute in some localized areas, although their impact is minimal. The fluoride levels are particularly high in arid and semi-arid regions, where evaporation and prolonged water–rock interaction accelerate fluoride mobilization. Despite decades of research, monitoring gaps persist, and mitigation remains challenging, especially for rural communities who are entirely dependent on untreated groundwater. This study recommends prioritizing efforts on scalable, cost-effective solutions to provide fluoride-safe water, particularly in areas where populations are largely vulnerable.

Conventional and Environmental Life Cycle Costing of Water Resource Recovery Facilities - Georgios Archimidis Tsalidis; Daniel Dias; Joao M. Ribeiro; Mahdieh Ghafourian; Ana Arias Calvo; David Renfrew; Evina Katsou (Circular Economy and Sustainability, 2026)
This study assessed the economic implications of extending conventional life cycle costing (cLCC) to environmental LCC (eLCC) in circular water resource recovery facilities (WRRFs) in Portugal, Cyprus, and Spain. By integrating monetized environmental impacts from life cycle assessment, internal costs, and external environmental costs, normalized per m 3 of wastewater inflow, are compared. Operational costs were dominated by electricity in Portugal and Cyprus, and chemicals in Spain. Resource recovery varied, Cyprus recovered calcium, magnesium and sodium salts, Portugal recovered a biopolymer, and Spain targeted phosphorus. Cost values are expressed as positive, while revenues are expressed as negative values. The Portuguese WRRF, employing Nereda ® and Kaumera technologies, achieved the lowest cLCC (-0.15 €/m 3 ) and eLCC (-0.03 €/m 3 ) owing to the best environmental performance, low chemical use, and renewable electricity. The Cypriot WRRF, with energy-intensive processes recorded the highest cLCC (1.3 €/m 3 ) and eLCC (2.07 €/m 3 ), driven by fossil-based electricity. The Spanish WRRF yielded a negative cLCC (-0.14 €/m 3 ) but a positive eLCC (0.2 €/m 3 ). Applying only cLCC highlighted the cost-effectiveness of Portuguese and Spanish WRRFs owing to revenue from recovered products, but cLCC underestimated Cypriot WWRF’s operational burden. The eLCC revealed external cost impacts, due to climate change and toxicity, with Portuguese WRRF showing potential profitability. These findings underline the need for circular economy-oriented WRRF planning that integrates resource recovery efficiency with energy system considerations and environmental cost monetization.

Effects of maternal arsenic exposure on birth outcomes using harmonized data across three birth cohorts - Zlatan Feric; Daniel Beene; Antonio J. Signes-Pastor; Deborah J. Watkins; Griffith Gao; Margaret R. Karagas; Debra A. MacKenzie; David R. Kaeli; Justin Manjourides (Toxicology and Environmental Health Sciences, 2026)
Objectives To assess the association between urinary arsenic concentrations and birth outcomes by harmonizing data from three independent birth cohorts. Methods We harmonized and analyzed data from the Navajo Birth Cohort Study (NBCS), the New Hampshire Birth Cohort Study (NHBCS), and the PROTECT Center study based on Puerto Rico. Birth outcomes of interest included birth weight, head circumference, birth length, gestational age at delivery, incidence of preterm birth, and size for gestational age. Urinary arsenic concentrations were used as the primary exposure metric. Harmonization involved aligning variable formats, adjusting for differences in laboratory methods, and excluding incompatible covariates, such as income and race. Results Harmonization increased the total sample size ( N = 3222) across cohorts. However, pooled analyses did not consistently demonstrate increased statistical power. Effect estimates for arsenic exposure were attenuated in some cases, and confidence intervals remained wide or even expanded relative to individual cohort analyses. Differences in biospecimen collection and laboratory assay methods required cohort-specific adjustments. Due to missing arsenic speciation data, the PROTECT cohort was excluded from two exposure models. Variability across cohorts limited the interpretability and precision of pooled estimates despite harmonization efforts. Conclusions While harmonizing data across multiple cohorts increased the sample size, it did not necessarily enhance statistical power or strengthen observed associations. Differences in data collection, laboratory methods, and available covariates posed significant challenges. These findings underscore the need for caution when interpreting pooled results from heterogeneous sources and highlight the importance of prospective planning for data harmonization in multi-cohort studies.

Critical habitats for sharks and rays in Asia remain largely unprotected - Adriana Gonzalez-Pestana; Peter M. Kyne; Emiliano García-Rodríguez; Ryan Charles; Vanessa Bettcher Brito; Asia O. Armstrong; Amanda Batlle-Morera; Marta D. Palacios; Christoph A. Rohner; Giuseppe Notarbartolo di Sciara; Jo Marie V. Acebes; Serena Adam; et al. (Biodiversity and Conservation, 2026)
The Asia region harbors exceptional chondrichthyan (shark, ray, and chimaera) diversity but faces intense fishing pressure. The Important Shark and Ray Areas (ISRA) process provides a collaborative, evidence-based framework to identify critical habitats and inform spatial management. We assessed ISRAs across the Bay of Bengal, Southeast Asia, and the Northwest Pacific to characterize their extent, ecological significance, and conservation relevance. We delineated 122 ISRAs spanning ~ 1 million km 2 (~ 3% of the region) across 12 jurisdictions and international waters, encompassing habitats for 121 species (~ 30% of Asia’s chondrichthyans), 76% of which are threatened. Depleted taxa (e.g., giant guitarfishes, Glaucostegidae) were represented, but charismatic megafauna (e.g., Whale Shark Rhincodon typus ) were overrepresented. In contrast, deepwater and freshwater species were underrepresented. Reproductive Areas were the most common ISRA sub-criterion applied (52% of ISRAs), largely in nearshore zones, while areas for range-restricted species were less frequently (18%) identified. Twelve ISRAs overlapped with biodiversity hotspots, including seven in areas of high overall chondrichthyan species richness and five in areas of high range-restricted species richness. Citizen science was the predominant research method used to delineate ISRAs, while fisheries data were underused despite the region’s major fisheries footprint. Geographic coverage was uneven: Indonesia held the most ISRAs (n = 40; 71.7% of ISRA coverage) while eight jurisdictions (e.g., Viet Nam, China, Republic of Korea) lacked ISRAs due to data gaps. Protection shortfalls are stark: MPAs cover

IoT-enabled air quality prediction using ensemble machine learning: a case study in San Salvador, El Salvador - Josue Ramirez-Ramirez; Daniel Amaya-Cruz; Griselda Zepeda-Navarro; Bayron Carpio-Villaran; Miguel Alfaro-Vides; Yakdiel Rodriguez-Gallo; Omar Otoniel Flores-Cortez; Carlos Osmín Pocasangre Jiménez; Werner David Meléndez (Air Quality, Atmosphere & Health, 2026)

High Densities of Large Herbivores Rapidly Disrupt Ecosystem Integrity - Jorge Isla; Emmanuel Serrano; Juan A. Calleja; Carlos Hernández‐Castellano; Rafael Alcalá‐Herrera; Elena Albanell; Carlos Alonso; Elena Baraza; Matthew Brolly; Niall Burnside; Ana Burón‐Ugarte; Miquel Capó; et al. (Global Change Biology, 2026)
Human‐induced high densities of large wild herbivores may pose a threat to natural ecosystems, modifying biodiversity and ecosystem functioning. Although the negative impacts on individual taxa and processes are well documented, a comprehensive understanding of how ecosystem integrity responds to high herbivore densities remains limited. This study addresses this gap through an extensive herbivore‐density manipulation experiment conducted in two Mediterranean woodlands. We established two scenarios of high red deer ( Cervus elaphus ) density, representative of some protected areas (~30 individuals·km 2 ) and intensively managed hunting estates (~90 individuals·km 2 ). We monitored 38 metrics encompassing a broad spectrum of biodiversity and functional responses to synthesize the short‐term impacts of high herbivore densities. We revealed an overall 13% decline in ecosystem integrity after one year of exposure to high herbivore densities, with particularly widespread impacts on functional responses and detrimental effects on biodiversity components. We detected rapid declines in plant diversity and a positive response of epigeic invertebrate orders. Conversely, ants (analyzed separately), birds, and small mammals remained mostly unaffected. Functional responses were consistently impaired, including declines in plant regeneration and physiological performance, simplified pollination networks, degraded soil structure, and increased disease vectors. These findings show that human‐induced high herbivore densities rapidly create conditions that disrupt ecosystem integrity, reveal early signs of ecological degradation, and underscore the urgent need for population regulation.

Retrieval-Augmented Generation for Maritime Accident Report Analysis: Evaluating Large Language Models on Performance and Cybersecurity - David Escribano Arias; Daniel Gomez-Lendinez; Beatriz Navas de Maya; Christian Velasco-Gallego (Journal of Marine Science and Engineering, 2026)
When accidents occur, official investigations are carried out, and reports are generated, which are usually reviewed for safety improvements. The retrieval of information is typically performed manually, which can lead to biases, errors, and poor judgement. Moreover, manual reviews can be tedious and highly time-consuming tasks. For these reasons, the implementation of LLMs has been analysed in this context. However, previous studies have been limited, and no proper justification for the implemented LLMs has been provided. Consequently, this work proposes a comparative framework to assess LLM candidates across two main dimensions: cybersecurity and performance. Specifically, a total of 9 LLMs from different providers were analysed, and 18 prompt injection techniques were implemented across 7 categories based on OWASP LLM01:2025 and previous academic studies. Additionally, a RAG system based on these results is introduced to validate the potential of these models in supporting experts in the retrieval of information from maritime accident reports. For validation purposes, a case study on the Marine Accident Investigation Branch (MAIB) reports was conducted. Results show that a comparative framework is required, as model selection may vary depending on the task being performed, which is critical from both a performance and cybersecurity perspective.

Hurricane impacts on oyster reef habitat in a large, wind-driven estuary - Daniel J. Bowling; Olivia N. Caretti; David B. Eggleston (Frontiers in Marine Science, 2026)
Coastal ecosystems vary in their resistance and resilience to the frequency, intensity, structural characteristics, and path of tropical cyclones. The successive passages of Hurricanes Florence and Dorian, and Tropical Storm Michael during the 2018 and 2019 hurricane seasons coincided with long-term monitoring of water quality and oyster reefs in Pamlico Sound, North Carolina, USA, providing a unique opportunity to examine storm impacts on estuarine ecosystems. Storm characteristics, reef depth, and reef structure strongly influenced outcomes. Deep-water reefs (~4.5–7 m) experienced degraded water quality, heavy sediment burial, and substantial oyster mortality, whereas shallow reefs (~1.5–3 m) in protected embayments exhibited minimal changes in water quality, limited sedimentation, and only minor impacts to oyster density and size structure. Hurricane Florence, a slow-moving, precipitation-heavy storm, caused widespread sediment burial, hypoxia, and near-total loss of oysters on deeper reefs. In contrast, Hurricane Dorian was fast-moving, with strong winds that mixed the water column and minimized oxygen depletion but resuspended sediments that buried low-relief reefs. Management and restoration strategies aimed at resilience to tropical cyclones should explicitly account for reef setting and structure. Deep areas of Pamlico Sound, which naturally accumulate sediment, are particularly vulnerable to storm-driven sediment resuspension that can bury nearby oyster reefs and should be avoided for restoration. Oyster reefs located in relatively shallow depths and embayments sheltered from high wind fetch may provide relatively stable reef structure in response to tropical cyclones. Reef heights are also critical: low-relief reefs are highly susceptible to burial, whereas maintaining a vertical relief of at least 20 cm improves long-term persistence. Continued monitoring and adaptive management are essential as changing storm regimes under climate change increase risks to oyster populations. Incorporating storm vulnerability into restoration planning, preserving no-harvest sanctuaries, and prioritizing resilient reef settings will be key to sustaining oyster populations in dynamic estuarine environments under increasing tropical storm frequency and intensity.

Posterior Fossa Malformations in a Cohort of 116 Fetuses: A Retrospective Analysis of Imaging Characteristics, Postnatal Imaging Concordance, Pregnancy Outcomes and Yield of Genetic Testing - Maisa Malta; Olivier Fortin; Braeden Badner; Daniel Charouf; Nassima Addour-Boudrahem; Olivier Beaudet-Leclair; Emmanouil Rampakakis; David S. Rosenblatt; Atanas Angelov Nedelchev; Roberta Shear; Lucia Carpineta; Myriam Srour (The Cerebellum, 2026)

Evaluating the use of uncrewed surface vessels to enhance Lake Erie acoustic prey-fish surveys. - Mark R. DuFour; Thomas M. Evans; Lars G. Rudstam; Suresh A. Sethi; Jeremy P. Holden; Heather Luken; Peter Jenkins; Daniel L. Yule; David M. Warner; Steven A. Farha; Timothy P. O’Brien; Andrew R. Barnard; et al. (Fisheries Research, 2026)

Advancing soil health with biochar - Effects on soil microbial activity and diversity - Adam El-Aradi; Agnieszka A. Nowak; Tala Kasim; David J. Webb; Daniel J. Nowakowski (Science of The Total Environment, 2026)

Scrutinising European land-use planning: Identifying the priorities and goals of building regulations - Daniels Saakjans; David Kaufmann; Anna M. Hersperger (Land Use Policy, 2026)

Production of precursors for sustainable aviation fuels through furfural/cyclopentanone aldol condensation boosted by TiO2-loaded dendritic ZSM-5 catalysts - Daniel de la Calle; Jennifer Cueto; María del Mar Alonso-Doncel; Rafael A. García-Muñoz; David P. Serrano (Fuel, 2026)

Wet-spun textile-inspired konjac glucomannan scaffolds: cost effective alternative for cultivated meat production - David Pietri; Daniel Diecke; Leonie Jabs; Daniel Dwiggins; Holger Wirz; Christine McBeth (Food Hydrocolloids, 2026)

Safety evaluation of honey truffle sweet protein produced from Komagataella phaffii - Susan M. Potter; Dan Zhao; Ashley Roberts; Robert Peterson; Daniel E. Connors; David B. Mayfield; Mel Lloyd; Thomas Martin; Sabitha Papineni; Giulia Tosi (Food and Chemical Toxicology, 2026)

Development and validation of an online SPE-HPLC-MS/MS for tire-derived pollutants of environmental concern (6PPD and 6PPD-Q): Detection and rainfall-driven dynamics in an urban river-estuary continuum - Kassidy Troxell; Milena Ceccopieri; Mary Beth Cavanaugh; Jinsheng Huang; Courtney Heath; Daniel Omana; David Hajiyev; Christopher S. Robbins; Piero Gardinali (Environmental Pollution, 2026)

Bearing the heat: Forest cover and human disturbance mediate brown bear behavior under thermal stress - Pablo Cisneros-Araujo; David Cubero; Daniel Pinto; Pablo Salinas; Francisco Jiménez; Javier García; Rebeca Martín; Víctor Salvador; Carlos Alonso; Daniel Gambra; Juan Ignacio García-Viñas; Aitor Gastón; et al. (Biological Conservation, 2026)

The future of evolutionary behavioral biology - Theo C. M. Bakker; James F. A. Traniello; Tim R. Birkhead; Monika Borgerhoff Mulder; Bernard Crespi; Niels J. Dingemanse; Raghavendra Gadagkar; Ashleigh S. Griffin; Mark E. Hauber; Bert Hölldobler; John L. Hoogland; Sarah B. Hrdy; et al. (Behavioral Ecology and Sociobiology, 2026)

Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop - Timothy W. Gant; Alistair Boxall; Daniel Burgwinkel; Maryam Zare Jeddi; Ivo Djidrovski; Steffi Friedrichs; Barry Hardy; Thomas Hartung; Daniela Holland; Andreas Karwath; Anne Kienhuis; Nicole Kleinstreuer; et al. (Archives of Toxicology, 2026)
Artificial Intelligence (AI) is increasingly influencing chemical risk assessment, enabling faster, more comprehensive, and potentially more ethical assessments. The application of AI in chemical risk assessment refers to both generative and predictive algorithms encompassing machine learning, to analyse complex chemical, biological, and environmental data and provide insights into adverse effect potential for humans and ecosystems. AI systems support the prediction of chemical hazards, exposure levels, and adverse effects by learning from experimental results, mechanistic models, and regulatory datasets, thereby enhancing the efficiency of safety evaluations. In October 2024, ECETOC held an international workshop, with experts from academia, industry, and regulatory bodies, to reflect upon the historical challenges in integrating multidimensional omics technologies into chemical regulation and explore the current capabilities and future potential of AI in toxicology and regulatory science. Discussions emphasised that implementation of Findable, Accessible, Interoperable, and Reusable (FAIR) data principles is not just a best practice but rather a prerequisite for building transparent, reliable, and unbiased AI systems. The reliability of AI in producing scientifically valid and socially responsible outcomes depends fundamentally on the availability of FAIR data. However, ensuring trustworthiness also requires robust governance frameworks that go beyond data and human oversight. Critical enablers of responsible AI in chemical risk assessment are rigorous governance, explainability, fit-for-purpose applications, and human oversight. ECETOC supports the development of flexible and iterative frameworks advancing development, validation, transparency, accountability, and trust in AI applications in chemicals regulation.

Host and Environmental Drivers of Gut Microbiome Variation in Wild Anolis Lizards - Yanileth F. López Tacoaman; Maria Alcivar; Karla Alujević; Leah Bakewell; John David Curlis; Anabarbara Gonzalez; Noah D. Gripshover; Samir Gulati; Renata M. Pirani; Noa Ratia; Daniel Romero; Kelly Lin Wuthrich; et al. (Molecular Ecology, 2026)
Animals maintain close associations with diverse microbiota that inhabit their digestive tracts, and these associations can profoundly affect host physiology and fitness. Gut microbiome composition is shaped by both host traits and environmental factors, yet the relative importance of these forces remains unclear in many taxa, including squamate reptiles (lizards and snakes). To address this gap, we analysed the gut microbiomes of seven species of Anolis lizards in the lowland tropical rainforest of central Panama. We sought to determine how environmental and host species characteristics shaped gut microbiome composition. Specifically, we examined (1) interspecific variation in the anole gut microbiome, (2) the relative roles of environment and host species in shaping gut microbiomes across two study locations, and (3) patterns of phylosymbiosis. We found that host‐related factors (species identity, body size, and phylogenetic distance) were significant predictors of the composition of Anolis gut microbiomes. However, environmental factors, including locality and year of sampling (associated with temperature, humidity, and precipitation), also exerted significant effects. We detected evidence of phylosymbiosis, but this pattern was moderate, possibly due to the strong effect of environmental variation. Our work contributes to the growing body of literature on lizard gut microbiomes by using comparative observations across habitats and species to identify the factors that shape these communities in the wild.

Bridging the Energy Balance Gap in Eddy‐Covariance Measurements: Insights From Standardized Network Data - Giacomo Nicolini; David Durden; Luca Di Fiore; Christopher Florian; Simone Sabbatini; Bert Gielen; Arne Iserbyt; Benjamin Loubet; Ivan Mammarella; Adriana Mariotti; Maarten Op de Beeck; Caleb Slemmons; et al. (Global Change Biology, 2026)
The lack of energy balance closure in Eddy‐Covariance (EC) measurements is a well‐known, still unresolved challenge in micrometeorology, with energy balance closure (EBC) rates typically ranging between 60% and 80%. While numerous hypotheses have been proposed to explain this imbalance, the relative contributions of neglected energy storage terms, data quality and flux processing options remain insufficiently disentangled. Using standardized ICOS and NEON datasets, we show that a significant portion of the observed energy imbalance can be attributed to overlooked or inconsistently handled energy components and turbulent flux quality control. Using data drawn from 84 sites, we show that comprehensive energy accounting—including soil heat flux, storage terms (soil, air, biomass), photosynthetic energy demand, and strict quality filtering of turbulent fluxes—improved EBC by 16% on average, with site‐specific gains up to 40%. However, we also identify a persistent residual imbalance that is unlikely to be resolved through methodological refinements or additional measurements alone, pointing to fundamental physical processes that are not accounted for in the standard measurement and processing. We argue that this unresolved imbalance should be explicitly acknowledged and bounded, rather than implicitly absorbed into correction schemes, and we outline practical guidance for diagnosing and interpreting EBC in standardized flux networks. This perspective evaluates methodological advances and residual uncertainties, providing an actionable framework for the appropriate use of EC energy fluxes in carbon, water, and climate research.

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis - Tamara Postigo-Casado; Alicia Ortega; Alejandro Álvaro-Meca; Daniel Vélez-Serrano; Nadia García-Mateo; Ana P. Tedim; Raquel Almansa; Jose María Eiros; David de Gonzalo-Calvo; Anna Moncusí-Moix; Clara Gort-Paniello; Manel Perez-Pons; et al. (GeroScience, 2026)
Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological alterations linked to severe disease in elderly patients with COVID-19. For this purpose, we employed a derivation cohort with 450 SARS-CoV-2 infected and unvaccinated patients admitted to hospital wards and a validation cohort with 244 SARS-CoV-2 infected and unvaccinated patients admitted to hospital Intensive Care Unit (ICU). Twenty-one biomarkers were measured in plasma samples from patients upon admission, including SARS-CoV-2 RNA, IgG antibodies, and protein biomarkers. Patient cohorts were divided into two groups based on age: adult (≤ 70 years old) and elderly (> 70 years old) patients. In the derivation cohort, 90-day mortality rate observed in the adult group was 6.0% whereas in the elderly group it rises to 31.6%, same trend was noticed regarding the validation cohort, with 11.2% versus 40.3% 90-day mortality rates for adult and elderly groups, respectively. The machine-learning framework XGBoost-SHAP, fed with the plasma biomarkers information, was used to profile an age-related host response to SARS-CoV-2 infection. Based on SHAP plot, elderly patients had a strong thrombo-inflammatory response profile (significantly elevated plasma levels of: lipocalin-2, endothelin-1, D-dimer) combined with deficient adaptive and cytotoxic antiviral responses. Model performance evaluated with the validation cohort confirmed the robustness and generalizability of the model developed (AUC = 0.710). In conclusion, the machine learning approach we built allowed us to identify the presence of a deranged host response in elderly patients with COVID-19 linked to poor viral control and increased mortality. Graphical Abstract

Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration - Nikhil N. Chaudhari; Owen M. Vega; Phoebe Imms; Jaron M. Kawamura; Nahian F. Chowdhury; Tamara Jafar; Andrei Irimia; Michael Weiner; Paul Aisen; Ronald Petersen; Clifford R. Jack; William Jagust; et al. (GeroScience, 2026)
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can find aging-related structural alterations above and beyond cortical thickness and atrophy. Using a novel approach to DNN interpretability, we mapped brain aging progression in 25,539 cognitively normal UK Biobank adults aged 45–83 years. Cortical aging is found to involve anatomic features becoming prominent during the 50s within frontolateral, mesolimbic, cuneal, and occipitotemporal regions. From these foci, aging-related features propagate to adjacent areas at rates peaking in the 60s. Cortical thinning and atrophy do not trend closely with neurodegeneration, but important DNN-identifiable anatomic features have spatiotemporal dynamics that match those of amyloid or tau. Our results challenge the assumption that MRI cannot map anatomic features trending with neurodegeneration. Interpretable DNNs can empower MRI to quantify anatomic aging as a process of spatial feature expansion from focal regions into nearby structures in the sequence of neurodegenerative pathology. Traditional morphometrics explain only ∼1% of variance in DNN-identifiable features, which clarifies why the former are insensitive to anatomic changes involving neurodegeneration. Our results conceptualize brain aging in the context of spatial and temporal parallels between anatomic senescence and neuropathology. These findings may help to map cognitively normal adults’ neurodegenerative anatomy even without PET measurements. Graphical Abstract

Shortleaf Pine (Pinus echinata): Management Challenges, Knowledge Gaps, and Opportunities for an Unsung Species - Benjamin O. Knapp; Jacob Fraser; Joanne Baggs; Vikram E. Chhatre; David Clabo; Connor D. Crouch; Daniel C. Dey; Shaik M. Hossain; Steven B. Jack; John M. Kabrick; Kathryn R. Kidd; Steven McNulty; et al. (Journal of Forestry, 2026)
Shortleaf pine has the broadest range of the southern pine species, occurring in 22 states and extending north into New Jersey, Pennsylvania, and New York (Staten Island). Shortleaf pine has been understudied compared to loblolly pine and longleaf pine, typically favored for timber production and conservation value, respectively. The extensive range of shortleaf pine contributes to a high degree of variability within and among its ecosystems and contributes to the need to understand regional context in considering its ecology and management. The goal of this paper is to review and synthesize the state-of-knowledge on shortleaf pine ecosystems, emphasizing the importance of variation across its range in identifying management challenges and opportunities. We discuss the variation in growing conditions that occur across the geographic range, shortleaf pine natural community groups, and contemporary shortleaf pine forest types that occur on the landscape. We provide a review of the state-of-knowledge for topics related to shortleaf pine management, including its fire ecology, genetic considerations, economics, and others. Finally, we synthesize these into key considerations and highlight regionally specific management challenges and opportunities.

EveryOne, EveryWhere, EveryWhen: Just water futures for three Living Rivers - R. Quentin Grafton; Anne Poelina; William Brian (Badger) Bates; Matthew Currell; David Doyle; Kirsty Howey; Cecilia Lake; Caroline McFarlane; Anthony McLarty; Nhat-Mai Nguyen; Sam Phelan; Patricia Riley; et al. (Water Security, 2026)

Investigating the contributions of herbaceous vegetation biomass to soil accretion in Louisiana's coastal deltaic wetlands using airborne imaging spectroscopy - Daniel Jensen; Elena Solohin; Edward Castañeda-Moya; Marc Simard; David R. Thompson; Cathleen E. Jones; Alexandra Christensen; Andre Rovai; Andy Fontenot; Robert Twilley (Remote Sensing of Environment, 2026)

Sharp rise in cormorant (Phalacrocorax auritus) populations on Lake Ontario islands inferred from analyses of pond sediment cores - Daniel Dagodzo; David C. Eickmeyer; Linda E. Kimpe; John P. Smol; Jules M. Blais (Palaeogeography, Palaeoclimatology, Palaeoecology, 2026)

Integrated multi-scale ecohydrogeological monitoring of spatio-temporal dynamics in karst critical zones - Nataša Ravbar; Metka Petrič; Mitja Ferlan; Uroš Novak; Janez Kermavnar; Lado Kutnar; Aleksander Marinšek; Daniel Žlindra; Blaž Kogovšek; Erika Kozamernik; Cyril Mayaud; David Štefanič; et al. (Journal of Hydrology, 2026)

Eco-engineered KPP/La₀.₈Mn₀.₂O₃ composite for antibiotics photodegradation and animal toxicity correlation - Ajibola Abiodun Bayode; David Erukpe Momodu; Adeleke Kazeem Atunnise; Daniel Terlanga Koko (Journal of Environmental Chemical Engineering, 2026)

Tracking nitrate contamination in groundwater from a residential Peri-urban area in Mar del Plata city (Argentina) using isotopic, hydrogeochemical and microbiological tracers - Jesús David Gómez Gutiérrez; Asunción Romanelli; Karina Soledad Esquius; Soledad Domínguez; Daniel Martínez; Orlando Mauricio Quiroz Londoño (Journal of Environmental Management, 2026)

Advances in the circular economy of polystyrene: A critical review of pyrolysis in pilot-scale systems, distillation, and re-polymerization - David Royuela; Alberto Veses; Tomás García; Ramón Murillo; Juan Daniel Martínez (Journal of Environmental Chemical Engineering, 2026)

Preparation and performance evaluation of granulated PVDF-lithium ion-sieve: An efficient direct lithium extraction (DLE) system for industrial applications - Samia Alam; David J. Shoemaker; Xiaobo Lei; Umama Rashid Lamiya; William E. Holmes; Mehdi Mokhtari; Mark E. Zappi; Daniel Dianchen Gang (Journal of Environmental Chemical Engineering, 2026)

Revisiting chlorophyll a thresholds for San Francisco Bay: insights from observations of phytoplankton molecular abundance - Daniel Killam; Keith Bouma-Gregson; Martha Sutula; Raphe Kudela; James Hagy; Stephanie Anderson; David Senn (Harmful Algae, 2026)

Towards a circular economy: Modern recycling technologies for critical metals - Daniel Müller; David Ian Groves; Liang Zhang (Gondwana Research, 2026)

Is Net Zero 2050/2060 a sensible forward-looking pathway for human civilization? A geological long-term perspective - David I. Groves; M. Santosh; Daniel Müller (Gondwana Research, 2026)

A horizon scan of global issues on forests and livelihoods for 2026 - Matilda Kabutey-Ongor; Katie Devenish; Mariana Hernández-Montilla; Lucas Alencar; Sandra Barragan-Contreras; Victorine Che Thöner; Reem Hajjar; Yayan Hidayat; David Kaimowitz; Birendra K. Karna; Duong T. Khuu; Anders C. Krogh; et al. (Forest Policy and Economics, 2026)

Integrating life cycle and techno-economic assessment for bio-based lactic acid production from industrial residues - Jesús Ibáñez; David Blanco-Alcántara; Jose Manuel Perales-Fernández; María López-Abelairas; Daniel Silva; Tiago Ramos da Silva; Helena Monteiro; Agata Olszewska-Widdrat; Joachim Venus; Charilaos Xiros; Anders Wallenius; Sonia Martel-Martín; et al. (Environmental Impact Assessment Review, 2026)

Post-growth meets polycentric governance: Toward an interdisciplinary research program - David Soto-Oñate; Daniel Petrovics; Thomas Bauwens (Ecological Economics, 2026)

Automated characterization of microfracture systems in organic-rich shales and their influence on porosity using convolutional neural networks on FIB-SEM images: A review - Bo Liu; Qamar Yasin; Eshimiakhe Daniel; Ghulam Mohyuddin Sohail; Mengdi Sun; David A. Wood (Earth-Science Reviews, 2026)

MARS lander: Georeferencing landing and pop points of untethered ocean monitoring systems using fundamental physics - Marko Radeta; Zahra Behboodi; Vladimir Zekovic; Décio Alves; David Pestana; Daniel Nunes; Margarida Freitas; Ankit Gupta; João Pestana; Dinarte Vieira; Sílvia Almeida; Morgado Dias; et al. (Deep Sea Research Part I: Oceanographic Research Papers, 2026)

The Potential of EO Data for Enhanced Flood Monitoring and Forecasting: A Consortium Assessment - Angelica Tarpanelli; Christian Massari; Beatriz Revilla-Romero; Mohammad J. Tourian; Peyman Saemian; Omid Elmi; Daniel Scherer; Vanessa Pedinotti; Cecile Kittel; Jérôme Benveniste; Peter Bauer-Gottwein; Luca Ciabatta; et al. (Surveys in Geophysics, 2026)
The monitoring and modeling of riverine floods have been covered extensively in the scientific literature with a substantial number of scientific contributions related to calibration/validation of hydraulic and hydrological models and assimilation of Earth Observation (EO) data into them. These models, when used for flood forecasting purposes, rely heavily on ground-based hydrological networks along with numerical weather models which, particularly in data-scarce regions, are often challenged by data sparsity. In these situations, EO data offer a viable solution to enhance the skill of these flood forecasting systems by providing global-scale observations of key hydrological variables such as precipitation, soil moisture, river discharge, water levels, and flood extent. This manuscript reviews and discusses the capability of these EO data in enhancing flood forecasting systems, by analyzing their accuracy, lead time, and reliability, while at the same time highlighting key challenges such as data latency, spatial–temporal resolution trade-offs, and model assimilation constraints. By leveraging recent advancements in remote sensing, data assimilation techniques, and artificial intelligence, EO-based flood forecasting has the potential to bridge existing observational gaps, particularly in vulnerable regions. The paper also outlines future research directions and technological developments needed to maximize the impact of satellite data in operational flood forecasting systems.

Changes in Alcohol dehydrogenase gene expression throughout strawberry fruit ripening process - Daniel Bustos; David Alarcón-Muñoz; Francisca Arriaza-Rodríguez; Felipe Moraga; Gabriela Urra; Carolina Parra-Palma; Francisca Hormazabal-Abarza; Patricio Ramos; Luis Morales-Quintana (Plant Molecular Biology, 2026)

Advances in the development of N-acylbenzo[d][1,2,3]diazaborinin-1(2H)-ols as antibacterial agents by synthesis, characterization, and antimicrobial assay - Chloe A. Woods; Betty Gutierrez; Naidine Aguinaldo; Prince Kanukwa; Yutong Li; Bethany Hubbard; Juan Daniel Avila; Anthony Jones; Fatime Sebok; Michael P. Groziak; Phattananawee Nalaoh; David M. Jenkins; et al. (Medicinal Chemistry Research, 2026)

Multichemical Exposure Assessment Using Silicone Wristbands in Central American Adolescents - Yirong Yuan; Samantha M. Hall; Juan José Amador Velázquez; Damaris López Pilarte; Selene Vences Brown; Magaly Amador Sánchez; Juan Amador Sánchez; Birgit Claus Henn; Madeleine K. Scammell; David J. Friedman; Daniel R. Brooks; Jessica H. Leibler (Exposure and Health, 2026)
Chemical exposures are poorly characterized in Central America, where chronic kidney disease of uncertain etiology (CKDu) is a leading cause of death. Most research evaluates occupational exposures in adults, yet early-life exposures remain understudied. We used silicone wristband passive samplers to characterize exposure to over 1,500 chemicals among Nicaraguan adolescents ( n = 80) residing in CKD high-risk communities but not engaged in agricultural work. We identified exposure profiles using k-means clustering and used LASSO logistic regression to identify predictors of low estimated glomerular filtration rate (eGFR). SHAP (SHapley Additive Explanations) values quantified individual chemical contributions to eGFR in a machine learning model. Of 130 detected chemicals, 21 (16.2%) were pesticides. Pyrethroids were detected on 93.8% of wristbands, most frequently cypermethrin-2 (88.8%) and ethofenprox (60.0%). Phthalates and musks, including bis(2-ethylhexyl) phthalate (DEHP, 98.8%), di-n-butyl phthalate (DnBP, 97.5%), and galaxolide (100%), were near ubiquitous. Esters included benzyl salicylate (97.5%) and ethylene brassylate (93.8%). Organophosphate triphenyl phosphate (TPP, 97.5%) and polyaromatic hydrocarbons (PAHs) pyrene (92.5%) and 2-methylphenanthrene (63.8%) reflected mixed consumer and environmental sources. K-means clustering identified four exposure profiles: two larger clusters reflecting background agrochemical exposures and a low-exposure group, and two smaller clusters dominated by household and personal care products. No individual chemicals were significantly associated with eGFR. SHAP analysis identified phthalates, esters, organophosphates, and phenols as the most influential predictors of kidney function. Adolescents in this CKDu-endemic region experience heterogeneous chemical exposures. Frequently detected compounds with nephrotoxic potential, including pyrethroids, PAHs, phenols, and phthalates, warrant targeted investigation.

The threat of multidrug-resistant microorganisms: active surveillance of key antimicrobial resistant pathogens in 2025 - a report from the INVIFAR network - Adrián Martínez-Meléndez; Elvira Garza-González; María del Rosario Vázquez-Larios; Melissa Garibaldi-Rojas; Bernardo Alfonso Martinez-Guerra; Christian Daniel Mireles-Davalos; Samuel Pavel Escalante-Armenta; José Manuel Feliciano-Guzmán; Daniel Romero-Romero; Maria del Consuelo Velazquez-Acosta; Sandra Quintana-Ponce; Shaúl Ariel Navarro-Lara; et al. (European Journal of Clinical Microbiology & Infectious Diseases, 2026)
Purpose Systematic collection and analysis of antimicrobial resistance data from key bacterial pathogens is essential to contribute to control antimicrobial resistance (AMR). The aim of this work was to survey the drug resistance on clinically relevant organisms stratified according to age, gender, clinical specimens and facilities. Methods Microbiological data were collected from 55 centers across 24 states in Mexico between January 1 and March 31, 2025. Bacterial identification and antimicrobial susceptibility testing were performed at each participating center using locally available methods. Data was processed using WHONET 2025. Isolates obtained from lower respiratory specimens, urine, blood, biopsies and abscesses were analyzed. Carbapenem non-susceptible isolates were further analyzed by PCR for common carbapenemase-encoding genes. Resistance frequencies were compared using the chi-square test. Results A total of 11,290 clinical isolates were analyzed, mostly from urine ( n = 7,149; 63.3%), followed by blood ( n = 1,370; 12.1%). The most prevalent was Escherichia coli ( n = 6,185; 54.8%), followed by Klebsiella pneumoniae ( n = 1,365; 12.1%) and Pseudomonas aeruginosa ( n = 1,110; 9.8%). Resistance to carbapenems in E. coli was higher in respiratory isolates (imipenem: 5.8%, p = 0.016; meropenem: 5.3%, p < 0.001), with 75.9% producing extended-spectrum ß-lactamases (ESBLs). K. pneumoniae had the highest resistance to ampicillin/sulbactam (52.5%, p = 0.028) and sulfamethoxazole/trimethoprim (62.1%, p = 0.014) in blood isolates, and 63.2% were ESBL-producers ( p = 0.001). In P. aeruginosa , urine isolates showed significantly higher resistance to ceftolozane-tazobactam (24.7%, p = 0.008), ceftazidime-avibactam (36.6%, p < 0.001), and meropenem (34.5%, p = 0.009) compared to other clinical specimens included. For A. baumannii , respiratory isolates had 73.6% resistance to meropenem ( p < 0.001). S. aureus from blood showed 25.7% resistance to oxacillin ( p < 0.004). The most frequent carbapenemase genes were bla OXA−48−like in E. coli (26/56, 46.4%), bla NDM for K. pneumoniae (7/17, 41.2%), bla OXA−24 in A. baumannii (79/108, 73.1%) and bla IMP for P. aeruginosa (18/108, 16.7%). Conclusion This surveillance study underscores the elevated levels of antimicrobial resistance, ESBL production, and carbapenemase activity among priority pathogens, including some Enterobacterales , P. aeruginosa , and A. baumannii . These findings emphasize the urgent need to strengthen epidemiologic surveillance programs in Mexican healthcare settings.

Estimating mercury exposure in amphibians using non-lethal tissue sampling - Caitlin T. Rumrill; Kelly L. Smalling; Colleen Emery; Blake R. Hossack; Brian J. Halstead; Michael J. Adams; Adam R. Backlin; Adrianne B. Brand; Jon M. Davenport; Robert N. Fisher; Jill Fleming; Brad M. Glorioso; et al. (Ecotoxicology, 2026)

Mapping the Distribution and Conservation Status of Mature and Old Growth Forests Across Coastal Alaska and British Columbia - James E. Lamping; Melissa S. Lucash; David M. Bell; Daniel R. Irvine; Matthew J. Gregory (Ecosystems, 2026)
Old growth forests in coastal Alaska and British Columbia represent some of the most expansive temperate rainforests on Earth, supporting high biodiversity, substantial carbon stocks, and the cultural heritage of Indigenous communities. Despite their importance, spatially consistent information on the distribution of old growth and mature forests in this region remains limited. We addressed this gap by integrating data across two national forest inventory programs with remotely sensed predictors. Forest inventory plots were classified by forest type and successional status (old growth, mature, or other) and linked to Landsat imagery, disturbance history, climate variables, and topographic metrics. Using this data, forest type and successional status were spatially predicted at 30-m resolution using Gradient Nearest Neighbor imputation. Across the ~ 30 million ha study region, mountain and western hemlock were the most widespread forest types. We identified 1.2 million ha of old growth forest and 2.3 million ha of mature forests, representing ~ 12% of the total land area. Alaska yellow cedar and white spruce exhibited the highest proportions of mature and old growth forests (43% and 46%, respectively), while widespread species such as Sitka spruce had relatively low percentages (4.1%). More than 40% of mature and old growth forests occurred within Inventoried Roadless Areas (IRAs) and Old Growth Management Areas (OGMAs), which lack permanent legislative protection. OGMAs contained the highest aboveground C densities, while IRAs had the greatest total aboveground carbon. These findings highlight the vulnerability of mature and old growth forests to policy or management changes that could influence their long-term persistence at a regional scale.

The COSPAR international space weather action teams (ISWAT) initiative: a driving force for the COSPAR space weather roadmap - Maria M. Kuznetsova; Mario M. Bisi; Hermann J. Opgenoorth; Martin A. Reiss; M. Leila Mays; Lucilla Alfonsi; C. Nick Arge; David Barnes; Anna Belehaki; Thomas E. Berger; Amanda Brecht; Sean Bruinsma; et al. (Advances in Space Research, 2026)

SNAPSHOT USA 2024: Year 6 of the Coordinated National Camera Trap Survey of the United States - Brigit Rooney; Roland Kays; Michael V. Cove; Alex Jensen; Daniel J. Herrera; Camilla Price; Phuong‐Thao Nguyen‐Nu; Katrina Adamczyk; Peter D. Alexander; David Allen; Jesse M. Alston; Diego F. Alvarado‐Serrano; et al. (Global Ecology and Biogeography, 2026)
Motivation SNAPSHOT USA is an annual, multi‐contributor camera trap survey of mammals across the United States. The growing SNAPSHOT USA dataset is intended for tracking the spatial and temporal responses of mammal populations to changes in land use, land cover and climate. These data will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, as well as the impacts of species interactions on daily activity patterns. Main Types of Variables Contained SNAPSHOT USA 2024 contains 377,427 records of camera trap image sequence data and 3127 records of camera trap deployment metadata. Spatial Location and Grain Data were collected across the United States of America in 49 states, 12 ecoregions and many ecosystems. Time Period and Grain Data were collected between 1 August and 19 December in 2024. Major Taxa and Level of Measurement The dataset includes a wide range of taxa but is primarily focused on medium to large mammals. Software Format SNAPSHOT USA 2024 comprises two .csv files. The original data can be found within the SNAPSHOT USA 2024 project on the Wildlife Insights platform.

Novel Estimates of Bird Migration Traffic at the Continental Scale Using Participatory Science Data - Ethan Plunkett; Yuting Deng; David L. Slager; Miguel Fuentes; Yangkang Chen; Benjamin M. Van Doren; Adriaan M. Dokter; Daniel Sheldon (Global Ecology and Biogeography, 2026)
Aim Quantifying movement patterns of migratory birds throughout their annual cycles is critical for effective conservation planning. The BirdFlow project uses eBird participatory science data products to model species‐level migratory trajectories across entire ranges. However, BirdFlow trajectory models are not readily compatible with location‐based monitoring technologies such as weather radar. We develop a scalable, species‐level measurement of nocturnal bird migration traffic and assess its utility for integration with radar monitoring. Innovation We introduce the BirdFlow migration traffic rate (BMTR), a location‐based metric of migratory passage for individual species derived from BirdFlow models. BMTR quantifies the weekly proportion of a species' population passing over a transect, can be calculated across a species' entire range and can be converted to absolute numbers using population estimates. We applied this framework to 312 nocturnal migratory bird species in North America. Aggregating all species' migration activities, we compared them with average weekly nocturnal migration traffic detected by 152 NEXRAD weather surveillance radars over 28 years. We further evaluated the use of BMTR to disaggregate radar‐derived migration traffic into species‐level estimates. Main Conclusions BirdFlow‐ and radar‐derived migration traffic showed strong agreement ( r = 0.784), particularly along the Mississippi and Atlantic Flyways, with models incorporating demographic adjustments performing best. Annual nocturnal migration traffic estimated by BirdFlow and radar was closely aligned, with BirdFlow estimates averaging 33.3% higher. BMTR effectively captured major flyways, high‐traffic routes and seasonal migration dynamics. It also enabled disaggregation of radar traffic into species‐level contributions, revealing dominant species at specific locations. BMTR provides a new methodological bridge between trajectory‐based BirdFlow movement models and location‐based monitoring approaches. It offers a scalable, species‐specific tool for migration ecology and conservation, supports monitoring in areas without radar coverage and enables new opportunities for public engagement through visualisation of near real‐time, species‐level migration.

Decoupled Climatic Drivers of Tree and Ground‐Layer Carbon Uptake in Mountain Ecosystems Around the World - Max Mallen‐Cooper; Maja K. Sundqvist; David A. Wardle; Radim Šarlej; Rose E. Brinkhoff; Aimée T. Classen; Eliška Kuťáková; Daniel B. Metcalfe; M. Noelia Barrios‐Garcia; Julie R. Deslippe; Kobayashi Makoto; Jane Mallen‐Cooper; et al. (Global Change Biology, 2026)
One of the key ecological processes affected by climate change is plant carbon uptake. However, there is substantial uncertainty about how plant carbon uptake will respond to warming in mountain ecosystems, which are known for sharp temperature gradients and abrupt shifts in vegetation structure. Specifically, we lack an understanding of whether these response trajectories over time will be linear or non‐linear, and how they might vary among mountain ecosystems globally. Here, we measured ecosystem Gross Primary Productivity (GPP) along forest‐tundra elevational gradients in the mountain regions of five countries (Argentina, Australia, France, Sweden, USA) to infer future trajectories of carbon uptake, and whether any non‐linear changes might occur. We also examined the role of microclimate in driving GPP responses. We found that whole‐ecosystem GPP increased with increasing macroclimatic temperature (decreasing elevation), but this response was dominated by a sharp non‐linear increase at the transition from tundra to forest (i.e., the treeline). In contrast, ground‐layer GPP was largely independent of macroclimate, but often responded strongly, and linearly, to microclimate (growing degree days > 5°C, mean growing season temperature). This pattern reflected a frequent decoupling of microclimate from the expected temperature‐elevation relationship, likely driven by such processes as cold‐air drainage, limited near‐surface air mixing, and shading by trees. The contrasting responses of GPP among global temperature gradients indicates strong context dependence at both local and continental scales, although in a few cases, biomass and leaf nitrogen were important moderators. These findings suggest that future shifts in carbon uptake in mountains will be mainly controlled by tree range expansion. Our results highlight the need to consider species responses on different spatial scales, and to increase representation of undersampled regions to capture the full breadth of ecological responses to climate change.

Climate as the Main Driver of Large‐Scale Genetic Patterns and Connectivity in the Expanding Golden Jackal - Alejandro Flores‐Manzanero; Wiesław Bogdanowicz; Milomir Stefanović; Roya Adavoudi; Rasoul Khosravi; Francelly Martínez‐Sosa; Karolina Doan; Yellapu Srinivas; Ovidiu C. Banea; Duško Ćirović; Gianluca D'Amico; Mihajla Djan; et al. (Global Change Biology, 2026)
Rapid global changes in climate and habitats lead to shifts in species' geographic ranges. Range contractions experienced by numerous species may result in local extinctions and connectivity disruptions. In some species, range expansions have been observed instead, suggesting the enlargement of suitable habitats and/or adaptations to changing environments. Despite its importance for wildlife management, our understanding of the factors influencing species' spatial responses to rapidly changing environments remains limited. The golden jackal serves as an excellent model to address this knowledge gap, given its ongoing rapid range expansion. In this study, we investigated environmental factors contributing to genetic connectivity and local adaptation across the expanding range of the golden jackal, based on a comprehensive sampling scheme across Eurasia ( n = 363), a high‐quality set of genomic markers (19,746 SNPs), and a landscape genomics framework. At the continental scale, geographic distance emerged as the predominant factor. At finer spatial scales, genetic connectivity was best explained by climatic predictors, specifically high annual and seasonal variations in precipitation and temperature, which can shape the species' spatial genetic structure by constraining gene flow. Our connectivity models for current and future climatic conditions show that the species' northward expansion is facilitated by changes in these variables in central and northern Europe promoting high connectivity. Precipitation and temperature were also responsible for most local adaptation signals. Given the potential role of hybridization with domestic dogs in shaping range expansion patterns, we investigated the association between environmental conditions and dog admixture proportions. We found no significant trends, indicating a limited effect of dog admixture on habitat choice. Collectively, our findings suggest that the golden jackal has the potential to continue its expansion across Eurasia in response to ongoing global climate change, providing an example of a species that rapidly tracks the expansion of its suitable habitats.

Intracellular Amorphous Calcium Carbonate Biomineralization in Methanotrophic Gammaproteobacteria Was Acquired by Horizontal Gene Transfer From Cyanobacteria - Karim Benzerara; Maxime Millet; Fériel Skouri‐Panet; Geoffroy Gaschignard; Neha Mehta; Malo Bezard; Géraldine Caumes; Daniel M. Chevrier; Manuela Dezi; Arnaud Duverger; Jean‐Michel Guigner; Ana Gutiérrez‐Preciado; et al. (Environmental Microbiology, 2026)
Some bacteria genetically control the biomineralisation of intracellular amorphous calcium carbonates (iACC) with potential implications for microbial physiology, evolution, bioremediation and biogeochemical cycling. Until now, this capacity has been documented in Cyanobacteria , the giant gammaproteobacterium Achromatium and a few magnetotactic Pseudomonadota and Nitrospirota . Here, we report the discovery of iACC biomineralisation in members of the Methylococcaceae , a family of aerobic methanotrophic Gammaproteobacteria . A homologue of the ccyA gene, a diagnostic marker for iACC formation in Cyanobacteria , was identified in several Methylococcaceae genomes, based on the conserved C‐terminal (GlyZip)3 domain of the encoded calcyanin protein. Moreover, two cultivated strains, Methylococcus geothermalis and Methylococcus mesophilus , whose genomes contained the ccyA gene, were consistently shown to form iACC. The ccyA genes of Methylococcaceae and Microcystis share higher sequence similarity than with other Cyanobacteria , suggesting horizontal gene transfer (HGT) from an ancestral Microcystis ‐like cyanobacterium to Methylococcaceae . This finding extends the known taxonomic distribution of ccyA and suggests that the capability to biomineralize iACC was acquired by HGT. The discovery of iACC in methane‐oxidising Methylococcaceae highlights a previously unrecognised coupling between calcium carbonate biomineralisation and methane cycling in aquatic environments, suggesting an overlooked role of iACC formation in microbial carbon storage and local geochemical regulation.

Distribution, scale, and drivers of mass mortality events in Europe's freshwater bivalves - Daniel A. Cossey; Maria Urbańska; Ronaldo Sousa; Juergen Geist; Anna Maria Labecka; Şebnem Atasaral; Maciej Bonk; Liliya Bylyna; Frank P. L. Collas; Daniel Daill; Andreas H. Dobler; Noé Ferreira‐Rodríguez; et al. (Conservation Biology, 2026)
Mass mortality events (MMEs) are decimating populations and compromising key ecosystem functions around the globe. One taxon particularly vulnerable to MMEs is freshwater bivalve mollusks. This group has important ecosystem engineering capacities and includes highly threatened and highly invasive taxa. Thus, MMEs of freshwater bivalves have important implications for conservation and ecosystems. Despite this, little is known about the magnitude, frequency, duration, distribution, and causes of freshwater bivalve MMEs. Using a questionnaire, we compiled data from 239 reports describing freshwater bivalve MMEs across 22 European countries since 1960. With these data, we analyzed trends in MME timing, location, and magnitude; identified the species affected; and evaluated the suggested causes (including reporter certainty). We found that the frequency of reports of MMEs increased each year, MMEs affected a broad range of species, clear geographical patterns linking certain causes to specific locations were lacking, factors related to drying and habitat destruction predominated suggested causes, and considerable uncertainty surrounded the causes of many MMEs, particularly those associated with potential pollutants and disease agents. Based on our findings, we recommend the standardization of many aspects of MME research (e.g., reporting and recovery assessment protocols), increased surveying for MMEs, further investigation into the causes of MMEs, especially those with significant uncertainty, and immediate actions to improve waterbody management, mitigate the effects of high temperatures, and further protect freshwater bivalves through the development and implementation of appropriate management actions and legislation.

Decanoic acid modulates cerebral metabolism and attenuates ischemic injury in a mouse model - Antonio Ítalo Santos Nunes; Lurian Caetano David; Daniel Pereira Cavalcante; Gustavo Almeida de Carvalho; Eduardo Rosa Silva; Jacqueline Alves Leite; Nelson Roberto Antoniosi Filho; Mauro Cunha Xavier Pinto (Metabolic Brain Disease, 2026)

The collective application of shorebird tracking data to conservation - Autumn‐Lynn Harrison; Candace Stenzel; Alexandra Anderson; Jessica Howell; Richard B. Lanctot; Marley Aikens; Joaquín Aldabe; Liam A. Berigan; Joël Bêty; Erik Blomberg; Juliana Bosi de Almeida; Andy J. Boyce; et al. (Conservation Biology, 2026)
Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence‐based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership of scientists and practitioners called the Shorebird Science and Conservation Collective (hereafter the collective ). The collective was founded to translate the combined findings of shorebird tracking data into on‐the‐ground conservation action. With advice from an advisory group, the collective acts as an intermediary whereby dedicated staff collate and analyze data contributions from scientists to support knowledge requests from conservation practitioners. In its first three years, data contributions from 75 organizations include over 7.1 million shorebird observations forming movement paths of 3420 individuals representing 36 species tracked across the Americas and have informed 18 conservation projects spanning education, land and species management, land conservation, and policy requests. Others engaged in translational science from big data could consider similar knowledge‐sharing models that prioritize usable data products, foster collaborative engagement between science experts and practitioners, build focused communities around topics or taxonomic groups, and employ a proof‐of‐concept phase to develop scalable solutions while making progress toward long‐term funding to sustain impact. As the volume of scientific data continues to grow, intermediaries, such as the collective, can be vital liaisons to rapidly integrate and interpret research to support conservation action. Dedicated to the memory of Shiloh Schulte and his conservation achievements for shorebirds.

Mitochondrial cytochrome c oxidase I ( COI ) gene sequence analysis reveals genetic connectivity and recent population expansion in Terebralia palustris (Linnaeus, 1767) along the Tanzanian coastline - Zulfa Ismail Shabani; Aneth Bela David; Joseph Stephen Matata; Changoma Marko Fransis; Dativa Joseph; Daniel Abel Shilla; Fulgence Mpenda; Prosper Laurent Mfilinge; James Leonard Lusana (Marine Biology Research, 2026)

Model Prediction of Macroplastic Distributions in European Marine Basins: Comparison with Beach and Floating Macroplastic Observations and Estimation of Model Accuracy - Elisa Garcia-Gorriz; Diego Macias-Moy; Daniel González-Fernández; Antonella Arcangeli; Nuno Ferreira-Cordeiro; Olaf Duteil; Svetla Miladinova; Ove Pärn; Luis Francisco Ruiz-Orejón; Eugenia Pasanisi; Roberto Crosti; Léa David (Oceans, 2026)
Accumulation of plastic litter in the marine environment is a pressing global concern. To study this issue, we use the Blue2 Modelling Framework (Blue2MF), an integrated modelling tool developed by the Joint Research Centre (JRC) of the European Commission. Our study uses the Lagrangian model LTRANS-Zlev (LTRANS) in the Blue2MF to simulate the trajectories, distribution, and accumulation of macroplastics in five European marine basins: the Baltic Sea, Black Sea, Mediterranean Sea, Atlantic Northwest European Shelf, and Atlantic Southwest European Shelf. By incorporating model-estimated macroplastic inputs from land and estimations of maritime (fishing) sources, we simulate distribution patterns of marine macroplastics between 2016 and 2018. Our study addresses the challenges involved in modelling the spatial distribution and abundances of macroplastics with the LTRANS model and the factors that may condition the estimation of the model accuracy when model results are compared/validated with marine litter observations available. We compare our model results with available observations, achieving a good agreement between predicted and observed macroplastic distributions and abundances and estimating the model accuracy for both beached and floating macroplastics. Our study provides a basis for future forecast runs to evaluate the impact of policy/management options on marine macroplastic pollution in European Seas.

PQRI Workshop: Model-Informed Drug Development (MIDD) Approaches in Pediatric Formulation Development - Gilbert J. Burckart; Susan Abdel-Rahman; Caleb Choi; M. Petrea Cober; James E. Cummins; Nikoletta Fotaki; Daniel Gonzalez; David Harris; Neil Parrott; Hardikkumar Patel; Fang Wu; Andreas Abend (The AAPS Journal, 2026)
In February of 2024, the Product Quality Research Institute held a virtual workshop entitled “Model-Informed Drug Development (MIDD) Approaches in Pediatric Formulation Development.” The workshop covered a range of topics related to pediatric formulation development and testing, including dissolution testing and applications to modeling drug absorption in developing pediatric patients. Workshop speakers reviewed the progress that has been made to advance our understanding of ontogeny related processes that drive interactions with product formulations and inform pediatric product development. They discussed recently constructed pediatric biorelevant models that provide more realistic information about drug dissolution in pediatric patients and their use in physiologically based models to produce data for regulatory submissions. Despite the progress, opportunities remain to expand the fund of knowledge on pediatric absorptive processes that will support the development of pediatric-friendly drug formulations. Graphical Abstract

Delta-X: An airborne remote sensing framework to calibrate hydrodynamic and ecogeomorphic processes responsible for land building in coastal deltas - Marc Simard; Cathleen E. Jones; Robert R. Twilley; Edward Castañeda-Moya; Sergio Fagherazzi; Cédric G. Fichot; Michael P. Lamb; Paola Passalacqua; Tamlin M. Pavelsky; David R. Thompson; Saoussen Belhadj-aissa; Pradipta Biswas; et al. (Remote Sensing of Environment, 2026)

Bacterially expressed non-glycosylated recombinant bovine interferon lambda demonstrates antiviral activity against bovine viral diarrhea virus in cell culture - David J. Holthausen; Kathryn A. Bickel; Gisselle N. Medina; Daniel W. Nielsen; Bryan S. Kaplan; Eduardo Casas; Rohana P. Dassanayake (Research in Veterinary Science, 2026)

Central Oman subduction-driven obduction and mountain building: Kinematic modeling from Mid-Cretaceous through balanced and restored cross-sections - Mahdi Najafi; Jaume Vergés; David Cruset; Philippe Razin; Marc Viaplana-Muzas; Montserrat Torne; Daniel García-Castellanos; Ana M. Negredo; Vincenzo Spina; Manel Fernàndez; Ivone Jiménez-Munt (Earth-Science Reviews, 2026)

Paleohistology and life history of Procervulus and Eotragus (Ruminantia, Artiodactyla) from the Middle Miocene site of els Casots (NE Iberian Peninsula) - Andrea Cuccu; Beatriz Azanza; Isaac Casanovas-Vilar; Carmen Nacarino-Meneses; David M. Alba; Daniel DeMiguel (Journal of Mammalian Evolution, 2026)
The Miocene Climatic Optimum (MCO) event (ca. 16.9–14.7 Ma) was a period of increased warmth spanning more than 2 Myr that offers valuable insights into climate-driven ecological changes. The early Middle Miocene site of els Casots (MN5, ~15.9 Ma), in the Vallès-Penedès Basin (NE Iberian Peninsula), is of extraordinary importance due to the abundant vertebrate remains and its coincidence with the midpoint of the MCO. Procervulus (Cervidae) and Eotragus (Bovidae) are of particular interest among the recorded taxa due to their basal phylogenetic position within their respective clades and their (apparently) similar ecology. Dental histology can provide valuable information about an organism’s life history (LH) through the analysis of its tissues, as their incremental development records growth rates and periods of physiological stress. To investigate possible LH differences between the two clades, we analyzed the enamel histology of their molars with a focus on their enamel daily secretion rate (DSR). Our results indicate that both species exhibited a particularly high DSR, which agrees with a fast LH strategy. The similarity in DSR between Procervulus and Eotragus further strengthens the similarity between cervids and bovids during their early evolutionary stages. Furthermore, Procervulus from els Casots shows no significant differences compared with Procervulus from Artesilla in central Iberia, where likely drier and more open habitats prevailed. However, the likely presence of open woodlands in the surroundings of the more forested environment of els Casots suggests that the two Procervulus spp. inhabited similar environments and might partially explain their ecological similarities.

Assessing Environmental Drivers and Protist Community Dynamics that Shaped the Historic August 2022 Heterosigma akashiwo Bloom in San Francisco Bay, California - Schuyler C. Nardelli; Keith Bouma-Gregson; David B. Senn; Daniel Killam; Ariella Chelsky; Erica Nejad; Emily T. Richardson; Timothy G. Otten; Tamara E. C. Kraus; Brian A. Bergamaschi (Estuaries and Coasts, 2026)
San Francisco Bay, California, typically has chlorophyll a (chl- a ) concentrations below 10 µg L −1 , despite nutrient loadings exceeding those in many estuaries with recurring harmful algal blooms (HABs). However, in August 2022 there was a Heterosigma akashiwo (raphidophyte) bloom with chl- a concentrations exceeding 450 µg L −1 , resulting in widespread hypoxia and fish die-off. We used protist community (18S ribosomal ribonucleic acid gene metabarcoding) and environmental data collected 2–3 times per month from 2015–2023 to assess differences between 2022 and other years, and capture dynamics pre-, during, and post-bloom. The 2022 protist community clustered separately from other years in non-metric multidimensional scaling and hierarchical cluster analyses. A diatom bloom in June generated the highest median June chl- a concentration (15 µg L −1 ) recorded between 1977–2023 and drew down nutrients (nitrogen, silicate), leading to the establishment of a heterotrophic community in July with low dinoflagellate abundance (0.9% of protists versus 5.9% average in other years). The absence of dinoflagellates, potentially including H. akashiwo predators , plus suitable habitat (13–14 daylight hours, temperatures 17–21˚C, nitrate concentrations 17–24 µmol L −1 , neap tides) likely provided opportunity for H. akashiwo to proliferate from 0.03% to 48% of protists between July 20 and August 25. As the bloom collapsed, the genus Gyrodinium (dinoflagellate predator of H. akashiwo ) increased from 3.0% to 52% of protists between August 25 and August 31, likely exerting grazing pressure. Results show that antecedent protist community dynamics play important roles in shaping HABs, and interactions between biotic and abiotic factors govern the development of blooms.

Viability of Beach Nourishment as a long-term Strategy for Maintaining Beaches in Bays and Estuaries - Robert Jak McCarroll; Oliver Dalby; David M. Kennedy; Daniel Ierodiaconou (Estuaries and Coasts, 2026)

Complexity and scaling descriptors as diagnostic predictors of heliophysical indices across solar-cycle timescales - D. Sierra-Porta; Maximiliano Canedo Verdugo; Daniel David Herrera Acevedo (Advances in Space Research, 2026)

Five Hidden Species in a Widespread European Vertebrate: Disentangling the Alpine Newt Cryptic Species Complex Through Genomic Phylogeography - Stephanie Koster; Anagnostis Theodoropoulos; Wouter Beukema; Johanna Ambu; Wiesław Babik; Daniele Canestrelli; Andrea Chiocchio; Dan Cogălniceanu; Milena Cvijanović; Manon C. de Visser; Christophe Dufresnes; James France; et al. (Molecular Ecology, 2026)
Through genomic phylogeography, previously unrecognised biodiversity can be revealed. The alpine newt serves as a case in point: this taxon carries highly distinct mtDNA clades and has a severely fragmented range. We obtain genome‐wide data with target enrichment by sequence capture to delineate cryptic species and disentangle their phylogenetic relationships. Furthermore, we explore potential niche divergence and glaciation‐driven distribution dynamics. On the basis of the uncovered genetic structure, we distinguish five main groups that we propose should be treated as distinct species. Limited interspecific genetic admixture often occurs away from current contact zones between these species, in line with a scenario of current range reduction, compared to the Last Glacial Maximum. A decline in suitable habitat also explains the fragmented nature of current species ranges. We uncover pronounced mito‐nuclear discordance. We show that an ancient mtDNA lineage endemic to the Vlasina Plateau on the border between Serbia and Bulgaria, previously interpreted to be a ‘ghost lineage’, in fact represents a distinct species. However, it is nested considerably deeper inside the alpine newt species complex than mtDNA suggests. Our study illustrates how genomic phylogeography allows intricate evolutionary histories to be untangled.

Apathy Through History: A Disorder at the Crossroads of Psychiatry and Neurology - David de Noreña-Martínez; Ignacio Sánchez-Cubillo; Daniel Adrover-Roig; José Ignacio Quemada; Marcos Ríos-Lago (Neuropsychology Review, 2026)
Apathy is a multidimensional neuropsychiatric condition characterized by a reduction in goal-directed behavior, cognition, emotion, or social interaction, with significant clinical implications in both neurological and psychiatric disorders. Despite its prevalence, apathy has traditionally been viewed as a secondary symptom of other pathologies. This article offers a historical and conceptual review of apathy, tracing its evolution from early philosophical ideas of emotional detachment to its current status as a transdiagnostic construct. The review examines the gradual emergence of apathy as a distinct syndrome, emphasizing contributions from psychiatry and neurology. Key concepts such as abulia, anhedonia, akinetic mutism, athymhormia, and avolition are discussed to illustrate the shifting boundaries between these terms. Drawing from historical and modern perspectives, the article explores the semantic evolution of apathy-related terms and their convergence in current diagnostic frameworks. It also addresses ongoing clinical challenges in detecting and differentiating apathy from overlapping syndromes. Ultimately, this review advocates for recognizing apathy as an independent syndrome with distinct neurobiological foundations, emphasizing its importance in behavioral neuroscience and clinical neuropsychiatry.

Sex and APOE genotype specific brain regional vulnerability to Alzheimer's Disease - Qi Zeng; Minghui Wang; Erming Wang; Xianxiao Zhou; Peng Xu; Vahram Haroutunian; Dongming Cai; Bin Zhang; Michael Weiner; Paul Aisen; Ronald Petersen; Clifford R. Jack; et al. (GeroScience, 2026)
Alzheimer’s disease (AD) disproportionately affects women and carriers of the apolipoprotein E ε4 allele (APOE4), yet little is known about how sex and APOE interact to influence white matter (WM) integrity during disease progression. We integrated diffusion MRI and matched blood transcriptomic data to investigate these interactions and their underlying biological mechanisms. WM microstructure was quantified using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), and regional vulnerability was assessed with a composite vulnerability score (CVS) derived from associations between diffusion features and AD severity across clinical traits in each of the four sex-APOE groups (female or male, with or without APOE4). Brain parcellation with the Eve atlas revealed regions consistently affected across sex-APOE groups (e.g., parahippocampal and superior temporal gyri) and regions specific to individual groups (e.g., the cingulum in females with APOE4 and the middle frontal gyrus in males without APOE4). Gene co-expression network analysis of the matched blood expression data identified gene subnetworks linked to group-specific regional vulnerability, including a muscle tissue morphogenesis module regulated by NEURL1B and HIST1H2BN associated with middle frontal gyrus vulnerability. These findings demonstrate that sex and APOE genotype jointly shape region-specific WM vulnerability and its molecular signatures in AD. Understanding these interactions provides novel mechanistic insights and may inform precision approaches to drug development, biomarker discovery, and clinical trial design for AD.

Enhancing yields: The role of fish tank illumination and coupling/decoupling in biofloc aquaponics performance - Shima Rezaei; Madeline Spoor; Grace Hohn; Rachel Schorer; Gift Bender; David Cline; Daniel E. Wells; Luz de-Bashan; Brendan Higgins (Aquaculture, 2026)

Transformation of inorganic reactive nitrogen species in a simulated vadose zone - Yvon Ukwishaka; Daniel N. Miller; Preetismita Borah; Daniel D. Snow; Michael Kaiser; Chittaranjan Ray; David Fleisher; Dennis Timlin; Vangimalla Reddy; Arindam Malakar (Science of The Total Environment, 2026)

‘Fire Islands’: Holocene wildfire intensity as a critical determinant of carbon accumulation in South Atlantic peatlands - Clemens von Scheffer; Dmitri Mauquoy; Thomas Theurer; Daniel Coathup; David Muirhead (Quaternary Science Reviews, 2026)

Swin-UNETR: A transformer-based model for 3D pore network segmentation in low-permeability sedimentary rocks - Mengdi Sun; Qamar Yasin; Eshimiakhe Daniel; Ghulam Mohyuddin Sohail; Atif Ismail; Bo Liu; David A. Wood (International Journal of Coal Geology, 2026)

A decision support tool for determination of stormwater wetland and bioretention system suitability in coastal South Carolina - Dhanuska B. Wijesinghe; Daniel R. Hitchcock; Dara M. Park; David L. White; Anand D. Jayakaran; William Bridges (Ecological Engineering, 2026)

Structurally defined synthetic heparin oligosaccharides reveal unique signatures for nanopore structural analysis of GAGs - Jasna Nikolić Chenais; Christine Le Narvor; David Bonnaffé; Jérôme Hénault; Emeline Richard Millot; Bernard Priem; Manuela Pastoriza-Gallego; Cédric Przybylski; Abdelghani Oukhaled; Jérôme Mathé; Régis Daniel (Carbohydrate Polymers, 2026)

Phyllosphere to soil: How long-term fencing reshapes grassland microbial community construction and the functional genes - Jian Li; Yu Zhu; Daniel F. Petticord; David W. Frey; Lijie Huang; Ming-Kang Jin; Michiel Op de Beeck; Quan-Hui Ma; Shu-Huan Jin; Hong Ying; Xi-Mei Xue; Ling Wang; et al. (Agriculture, Ecosystems & Environment, 2026)

Comparing tree swallow dispersal strategies in a continuous mainland environment - Kelly K. Hallinger; Teresa M. Pegan; Michael J. Andersen; Daniel R. Ardia; Amos Belmaker; David Chang van Oordt; Valentina Ferretti; Anna M. Forsman; Jennifer R. Gaul; Paulo E. Llambías; Sophia C. Orzechowski; J. Ryan Shipley; et al. (Ecology, 2026)
Dispersal is one of the most important aspects of animal behavior and can have far‐reaching consequences for organismal ecology and evolution. Despite recent theoretical advances in understanding why individuals within the same population vary in dispersal behavior, relatively few studies have empirically evaluated the long‐term causes and consequences of variable dispersal within natural populations. In this study, we used life history data collected over the course of 16 years to examine fitness outcomes in 867 known‐age female tree swallows breeding in New York, USA, that differed in their dispersal status: “immigrant” females, defined as dispersers that hatched elsewhere, and “local” females, defined as non‐dispersers that hatched within the study site and returned there after migration to breed. We also compared the life history responses of immigrant and local females to natural variation in weather, nest predation risk, and social environment at their breeding site. Local females were more likely to produce fledglings that recruited into the study area as adults. We also found several instances in which dispersal status interacted with an environmental metric to influence relative fitness, and these responses were largely consistent across life history measures. Overall, immigrant females were relatively resilient to variation in their extrinsic environment, while local females were highly sensitive to environmental conditions at the breeding site, performing relatively well when conditions were benign and faring relatively poorly as conditions became more stressful. We found little evidence that distance dispersed within a study site impacted female fitness, suggesting that the dispersal‐associated differences in fitness that we observed operate mostly across broader spatial scales. Future work should undertake the direct and simultaneous measurement of behavior, physiology, and fitness of immigrant and local females across environmental contexts and should seek to understand whether and how context‐dependent fitness variation of dispersers and non‐dispersers scales up to influence larger ecological and evolutionary processes.

Vulnerability of marine megafauna to global at‐sea anthropogenic threats - Michelle VanCompernolle; Juliet Morris; Hannah J. Calich; Jorge P. Rodríguez; Sarah A. Marley; Jessica R. Pearce; Briana Abrahms; Katya Abrantes; André S. Afonso; Alex Aguilar; Andrews Agyekumhene; Tomonari Akamatsu; et al. (Conservation Biology, 2026)
Marine megafauna species are affected by a wide range of anthropogenic threats. To evaluate the risk of such threats, species’ vulnerability to each threat must first be determined. We build on the existing threats classification scheme and ranking system of the International Union for Conservation of Nature (IUCN) Red List of Threatened Species by assessing the vulnerability of 256 marine megafauna species to 23 at‐sea threats. The threats we considered included individual fishing gear types, climate‐change‐related subthreats not previously assessed, and threats associated with coastal impacts and maritime disturbances. Our ratings resulted in 70 species having high vulnerability ( v > 0.778 out of 1) to at least 1 threat, primarily drifting longlines, temperature extremes, or fixed gear. These 3 threats were also considered to have the most severe effects (i.e., steepest population declines). Overall, temperature extremes and plastics and other solid waste were rated as affecting the largest proportion of populations. Penguins, pinnipeds, and polar bears had the highest vulnerability to temperature extremes. Bony fishes had the highest vulnerability to drifting longlines and plastics and other solid waste; pelagic cetaceans to 4 maritime disturbance threats; elasmobranchs to 5 fishing threats; and flying birds to drifting longlines and 2 maritime disturbance threats. Sirenians and turtles had the highest vulnerability to at least one threat from all 4 categories. Despite not necessarily having severe effects for most taxonomic groups, temperature extremes were rated among the top threats for all taxa except bony fishes. The vulnerability scores we provide are an important first step in estimating the risk of threats to marine megafauna. Importantly, they help differentiate scope from severity, which is key to identifying threats that should be prioritized for mitigation.

Clinical spectrum of ICU-acquired invasive pulmonary aspergillosis according to SARS-CoV2 infection: a multicenter prospective cohort study - Florian Reizine; Mattéo Mauget; Nicolas Massart; Yannick Fedun; Anaïs Machut; Charles-Hervé Vacheron; Anne Savey; Arnaud Friggeri; Alain Lepape; Melissa Abbes; Abdelkrim Abdelmalek; Francoise Adema; et al. (European Journal of Clinical Microbiology & Infectious Diseases, 2026)

Association between cagemate number and risk of death in mice: a time-varying covariate analysis using Cox frailty models - Thirupathi R. Mokalla; Erik S. Parker; Daniel L. Smith; Luis-Enrique Becerra-Garcia; Olivia C. Robertson; Deependra K. Thapa; Mounika Kandukuri; Bret M. Rust; David B. Allison (GeroScience, 2026)
Social housing is desirable for the health and well-being of laboratory mice, as social interactions with conspecifics influence both behavioral and physiological outcomes. Although group housing benefits social species, it can introduce variability in mortality outcomes, and raise welfare concerns, particularly with the emergence of aggression or fluctuating cage densities. Despite this, few studies have evaluated how changes in the number of living cagemates over time are associated with survival, particularly in a sex-specific manner. We analyzed data from the National Institute on Aging’s Interventions Testing Program (ITP; n = 2635 UM-HET3 mice), across three research sites to assess whether housing density influenced longevity differently in male and female mice. Mice were housed in same-sex cages (median = 3 per cage) without reassignment after cagemate death. We applied Cox frailty models incorporating nested random effects for cage and site, with fixed effects for sex, treatment, and time-varying number of living cagemates to estimate hazard ratios, which allowed us to assess the instantaneous risk of death associated with changes in cagemate number. Results showed a significant main effect of the number of living cagemates on mortality and a significant interaction between sex and cagemate count, indicating sex-specific responses. Female mice exhibited a pronounced increase in mortality rate as cage density declined, suggesting a potential role of social buffering in longevity. These findings emphasize the importance of considering social housing dynamics, particularly for female mice, in both experimental design and animal welfare protocols. Graphical Abstract

A framework to combine beach monitoring data with modular erosion risk modelling to inform operational coastal management - Robert J. McCarroll; David M. Kennedy; Jin Liu; Blake Allan; Elisa Zavadil; Daniel Ierodiaconou (Ocean & Coastal Management, 2026)

Identifying and quantifying greenhouse gas emissions with the AVIRIS-3 airborne imaging spectrometer - Red Willow Coleman; Andrew K. Thorpe; Philip G. Brodrick; Adam Chlus; Jay E. Fahlen; Brian Bue; John Chapman; Regina F. Eckert; Daniel J. Jensen; Michael L. Eastwood; David R. Thompson; Clayton D. Elder; et al. (Remote Sensing of Environment, 2026)

deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics - Clemens Mosig; Janusch Vajna-Jehle; Miguel D. Mahecha; Yan Cheng; Henrik Hartmann; David Montero; Samuli Junttila; Stéphanie Horion; Mirela Beloiu Schwenke; Michael J. Koontz; Khairul Nizam Abdul Maulud; Stephen Adu-Bredu; et al. (Remote Sensing of Environment, 2026)

Tidal marsh species mapping using commercial satellite imagery for enhanced coastal management in Chesapeake Bay - Megan M. Coffer; Rebecca Trinh; Molly Mitchell; Kory Angstadt; David Stanhope; Zhonghui Lv; Karinna Nunez; Nicole D. Bartlett; Daniel Wiltsie; Sully Sullivan; Blake A. Schaeffer (Remote Sensing Applications: Society and Environment, 2026)

Integrated understanding of benthic community response to disturbance from an earthquake-triggered turbidity flow event - Katharine T. Bigham; Ashley A. Rowden; Daniel Leduc; David A. Bowden (Progress in Oceanography, 2026)

Environmental assessment of anaerobic digestion within net-zero and policy-aligned AFOLU sector futures - Pedram Vousoughi; Andres Martinez Arce; George Bishop; Daniel Henn; Colm Duffy; David Styles; Kenneth A. Byrne (Journal of Cleaner Production, 2026)

Monitoring amphibians in a changing climate: conservation assessment of Natterjack Toad Epidalea calamita using ecoacoustics - Carlos Abrahams; David Pickett; Sandrina Finocchio-Daniels; Alex Bush (Journal for Nature Conservation, 2026)

Erratum to “Varying response of breeding waders to experimental manipulation of their habitat and predators” [J. Nat. Conserv. 72 (2023) 126353] - David J.T. Douglas; Irena Tománková; Philippa Gullett; Stephen G. Dodd; Daniel Brown; Martin Clift; Norrie Russell; Neal Warnock; Jennifer Smart; Sarah Sanders (Journal for Nature Conservation, 2026)

Slag Viscosity Assessment and Modification of P2O5-rich Biomass and Refuse-Derived Fuels for their Use in Entrained-Flow Gasification - Weiss Naim; Alexander Ilyushechkin; Gabriel Roeder; Philipp Leuter; Marcel Dossow; Sebastian Fendt; David Harris; Hartmut Spliethoff; Daniel Roberts (Fuel, 2026)

Tectonic controls on volcanism in transfer fault zones: Insights from the Catalan Volcanic Zone (Northeastern Iberia) - David Cruset; Jaume Vergés; Marc Viaplana-Muzas; Xavier Bolós; Adelina Geyer; Jordi Díaz; Mahdi Najafi; Mar Moragas; Leo J. Millonig; Axel Gerdes; Estefanía Bravo-Gutiérrez; Montserrat Torné; et al. (Earth-Science Reviews, 2026)

An evaluation of hydrogen peroxide-mediated hydroxylation of titanium-based ion sieves for enhancing the performance of lithium capture from aqueous solutions - David J. Shoemaker; Xiaobo Lei; William E. Holmes; Mehdi Mokhtari; Dhan Lord B. Fortela; Ashley P. Mikolajczyk; Emmanuel D. Revellame; Rafael A. Hernandez; Mark E. Zappi; Daniel D. Gang (Chemical Engineering Journal, 2026)

Optimizing bioenergy biofuel harvest: a comparative analysis of stepwise and integrated methods for economic and environmental sustainability - Muhammad Umer Arshad; David Archer; Nictor Namoi; Daniel Wasonga; Chunhwa Jang; Tim Rooney; DoKyoung Lee (Bioresource Technology, 2026)

Blood–Brain Barrier Permeability in Cases of Post-operative Delirium Is Associated with Central Nervous System Phosphatidylcholine Imbalances - Mijin Jung; Xiaobei Pan; Aoife Sweeney; Anthony P. Passmore; Bernadette McGuinness; Daniel F. McAuley; David Beverland; Amanda J. Heslegrave; Jonathan Schott; Henrik Zetterberg; Emma L. Cunningham; Brian D. Green (Molecular Neurobiology, 2026)
Blood-brain barrier (BBB) permeability is reportedly increased in patients exhibiting postoperative delirium. Changes in either cerebrospinal fluid (CSF) or blood metabolites have also been reported in cases of delirium. This investigation examined whether BBB permeability influences metabolite concentrations on either side of the barrier, and whether this changes in cases of delirium. This study is a nested case-control cohort ( n = 54) drawn from the entire cohort of n = 315 participants. Preoperative CSF and plasma from postoperative delirium and control participants matched for age and gender underwent metabolomic profiling. Concentrations of metabolites in plasma and in CSF were obtained, and where measurable, a CSF/plasma metabolite ratio (Qmetab) was calculated. CSF/plasma albumin ratio (Qalb), a recognized indicator of BBB permeability, was also calculated. The above parameters were compared between delirium and control groups. Finally, each Qmetab was correlated against Qalb for control or delirium cases. In cases where delirium would later occur there were significant elevations in the Qmetabs of amino acids (Gln, His, Met, Phe, Tyr and Val), and one phosphatidylcholine (PC). Many other PC Qmetabs significantly correlated with Qalb and this mainly occurred in individuals subsequently experiencing delirium. In persons prone to postoperative delirium, the equilibrium of certain species of PC across the BBB correlates with BBB permeability. It is unclear whether this occurs because of changes in PC metabolism or transit, but understanding this could improve our understanding of the mechanisms underlying delirium.

Impact of Diabetes on Oxidative Stress, Mitochondrial Function, and Neurological Outcomes Following Ischemic Stroke: A Sex-Based Experimental Analysis - Richard Simon Machado; Khiany Mathias; Cristiane Coral; David dos Santos; Sandra Regina Santana Aguiar Bonfante; Solange de Souza Stork; Anita Dal Bó Tiscoski; Victor Duílio Antunes Maragno; Alberto Martins Silva; Henrique Mautone Gomes; Isabela da Silva Lemos; Luana dos Reis Possa; et al. (Molecular Neurobiology, 2026)

Development of Cellular Energy Metabolism During Differentiation of Human iPSCs into Cortical Neurons - Šárka Danačíková; Petr Pecina; Alena Pecinová; Jan Svoboda; David Vondrášek; Davide Alessandro Basello; Tomáš Čajka; Daniel Hadraba; Tomáš Mráček; Vladimír Kořínek; Jakub Otáhal (Molecular Neurobiology, 2026)
Neuronal differentiation requires extensive metabolic remodeling to support increased energetic and biosynthetic demands. Here, we present an integrated multi-omics and functional characterization of metabolic transitions during early differentiation of human induced pluripotent stem cells (iPSCs) into excitatory cortical neurons using doxycycline-inducible overexpression of neurogenin-2 (NGN2). We analyzed parental iPSCs and induced neurons (iNs) at days 7 and 14 of differentiation, integrating gene expression profiling, label-free quantitative proteomics, high-resolution respirometry, fluorescence lifetime imaging microscopy (FLIM), and 13 C₆-glucose metabolic flux analysis. Our data reveal progressive metabolic remodeling associated with neuronal maturation, including enhanced oxidative phosphorylation, increased mitochondrial content, and respiratory capacity. Proteomic analyses showed upregulation of mitochondrial and antioxidant pathways, while FLIM indicated a progressive increase in enzyme-bound NAD(P)H, consistent with a shift toward oxidative metabolism. Notably, 13 C₆-glucose tracing revealed delayed labeling of the intracellular pool of fully labeled glucose and tricarboxylic acid cycle metabolites, together with enhanced labeling of pentose phosphate pathway intermediates and glutathione in iNs, indicating a shift toward biosynthetic and antioxidant glucose utilization during differentiation. Despite this enhancement in mitochondrial function, differentiated neurons maintained glycolytic activity, suggesting metabolic flexibility. Our results define the first week of differentiation as a critical window of metabolic specialization and establish NGN2-iPSC-derived cortical neurons as a versatile and well-characterized model system for investigating bioenergetic remodeling during early human neurodevelopment. It provides a robust foundation for mechanistic insights and high-throughput evaluation of metabolic pathways relevant to human disease.

Minocycline Ameliorates Cognitive Impairments Without Modulating Microglial Reactivity in Sporadic Hypercholesterolemia: A Sex-Specific Analysis in Mice - Matheus Scarpatto Rodrigues; Natalia Baltazar do Nascimento; Gabriela Joras Baumart; Taina Schons; Alex Paulo Padilha; Mariana Viana Costa; Hémelin Resende Farias; Lilian Corrêa Costa-Beber; Fernanda Telles Fróes; Ariadni Mesquita Peres; Ricardo Maia Dantas; Alessandra Gonçalves Machado; et al. (Molecular Neurobiology, 2026)

The Toxicology Investigators Consortium 2024 Annual Report - Kim Aldy; Shao Li; Mari Costantini; Alyssa Falise; Rachel Culbreth; Paul M. Wax; Jeffery Brent; Michael Abesamis; Faiz Ahmed; Salman Ahsan; Peter Akpunonu; Adam Algren; et al. (Journal of Medical Toxicology, 2026)

A safari across France: soil fauna insights from a nationwide soil quality monitoring program - Sophie Pouzenc; Claudy Jolivet; Louna Abraham; Apolline Auclerc; Eric Beaucher; Antonio Bispo; Nolwenn Bougon; Matthias Brand; Laurence Carteaux; Camille Chauvin; Daniel Cluzeau; Jérôme Cortet; et al. (Applied Soil Ecology, 2026)

Fine-scale patterns and drivers of ploidy state in lentic and lotic macrophyte assemblages across the world - Tatiana Lobato-de Magalhães; Kevin Murphy; Thomas A. Davidson; Jorge García-Girón; Andrey Efremov; Victor Chepinoga; Eugenio Molina-Navarro; Celeste Franceschini; Roger P. Mormul; Hui Fu; Rossano Bolpagni; Juri Nascimbene; et al. (Aquatic Botany, 2026)

A Comparison of Diving Behavior of Goose‐Beaked and Dense‐Beaked Whales From Tagging Studies in Multiple Ocean Basins - Jay Barlow; Robin W. Baird; Janelle Badger; Gregory S. Schorr; Erin A. Falcone; Shannon N. Coates; Peter L. Tyack; Andrew J. Read; Leigh S. Hickmott; John W. Durban; Diane Claridge; Natacha Aguilar de Soto; et al. (Marine Mammal Science, 2026)
Studies of cetacean diving behavior in multiple locations in different ocean basins allow for an assessment of variability within and among populations. We examine foraging dive behaviors of goose‐beaked whales ( Ziphius cavirostris ) and dense‐beaked whales ( Mesoplodon densirostris ) using data from 132 tagged whales in seven locations in the Pacific and Atlantic Oceans and the Mediterranean Sea. Acoustic recording tags are used to identify foraging dives by the presence of echolocation. For other tag types, foraging dives are identified based on maximum dive depth. Five parameters are used to characterize foraging dives: maximum dive depth, foraging dive duration, dive cycle duration, and the mean and standard deviation of echolocation depths. We find that differences among dives within one tagged individual are typically larger than the differences among individuals or among locations, and that differences among individuals are typically similar in magnitude to differences among locations. Regression is used to estimate the mean and standard deviation of echolocation depths from maximum dive depth for dives without acoustic data. Composite values of foraging dive parameters (and standard deviations) are estimated as the average of all study locations.

Tightly coupled carbon, nitrogen, and iron utilization by bacteria in the lower photic zone of the North Pacific Subtropical Gyre - Lauren E. Manck; Miranda Herschel Seixas; Rhea K. Foreman; Jingxuan Li; Benedetto Barone; Randelle M. Bundy; Daniel J. Repeta; David M. Karl; Matthew J. Church (Limnology and Oceanography, 2026)
The metabolism of heterotrophic bacteria acts as a key control on the turnover of organic matter in the ocean. However, much remains unknown about how nutrient availability, particularly iron concentration, impacts bacterial growth. In the dimly lit waters of the lower photic and upper mesopelagic zones, the attenuation of sinking particulate flux is intense, due in part to remineralization by heterotrophic bacteria. In the North Pacific Subtropical Gyre, dissolved iron concentrations display a subsurface minimum near the base of the photic zone, and this is also a region where bacteria have elevated cellular iron demands. In a series of field experiments, we examined how the availability of iron, nitrogen, and organic carbon impacts bacterial metabolism in the lower photic zone. Results of these experiments suggest that low iron conditions limit the turnover of organic carbon by bacteria, potentially enhancing the efficiency of organic carbon export to the deep sea. Uptake of both dissolved iron and inorganic nitrogen by heterotrophic bacteria was greatest when bacteria metabolized carbon‐rich organic substrates, typical of the lower photic zone, compared to particulate material collected in the near‐surface ocean. Vertical changes in the composition of organic matter may be an important control on bacterial cellular iron requirements, potentially pushing this community toward iron limitation in the interior waters of the ocean.

Biogeography and Anthropogenic Development Shape Mesopredator Distributions in a Rapidly Developing Region - Alex D. Potash; L. Mike Conner; Marcus Lashley; Michael Cherry; Andrew J. Edelman; Elina Garrison; Daniel U. Greene; William Gulsby; Matthew T. Hallett; David S. Jachowski; Paul Taillie; Robert A. McCleery (Journal of Biogeography, 2026)
Aim To investigate effects of anthropogenic development at regional and landscape scales on the distributions of mid‐trophic level mammalian predators (mesopredators) across the southeastern United States. Location The study area encompasses seven ecoregions across a large portion of the southeastern United States. Taxon Mammalian mesopredators. Methods We compiled trail camera data from 21 studies across the southeastern United States and used occupancy modelling to assess mesopredator distributions and account for heterogeneous detection probabilities. We examined drivers of occupancy at regional and landscape scales. At the regional scale, we assessed occupancy patterns across ecoregions differing in topography, productivity, and human population growth. At the landscape scale, we analysed the influence of land cover types (forest, developed, agriculture) and non‐native coyote ( Canis latrans ) activity on occupancy. Results Regionally, mesopredator occurrence was highest in ecoregions characterised by low productivity and greater topographic variability. Common species (predicted occupancy ≥ 0.19) showed positive associations with developed and agricultural land covers, while less common species (predicted occupancy ≤ 0.10) showed negative associations or were too rare to model. Coyote activity had mixed effects, positively associated with some species while negatively associated with others. Main Conclusions Anthropogenic development affects mesopredator communities at both regional and landscape scales, favouring generalist species that are tolerant of human‐modified landscapes.

The Missing Global South in Climate Change Biology: Towards Equitable Knowledge Inclusion for Effective Global Solutions - Wesley Dáttilo; Rodrigo Beas‐Luna; Alma Mendoza‐Ponce; Angela Nava‐Bolanos; Angela P. Cuervo‐Robayo; Carolina Ureta; Constantino Gonzalez‐Salazar; Cuauhtemoc Saenz‐Romero; Daniel Jimenez‐Garcia; David A. Prieto‐Torres; Eduardo Cuevas; Gabriela Castano‐Meneses; et al. (Global Change Biology, 2026)
Over the last decades, climate change biology has become a central field in global science, yet knowledge production and its inclusion in global strategies remain profoundly unequal. Our bibliometric analysis of over 580,000 records shows that ~80% of author affiliations come from Global North institutions, meaning that research agendas, theoretical frameworks, and priorities are still largely shaped outside the regions with the highest biodiversity and greatest vulnerability to climate change. This imbalance reflects structural and historical inequalities that limit the ability of Global South countries to conduct autonomous research and sustain long‐term monitoring. When research and funding originate abroad, local scientists are often excluded, leading to the loss of traditional knowledge, regional perspectives, and long‐term capacity building. These dynamics leave tropical and subtropical bioregions (generally in the Global South) underrepresented in global climate knowledge. To address this imbalance, we propose six actions: invest in infrastructure and monitoring, strengthen local research networks, link funding to capacity building, promote open and equitable data access, connect science with regional policies, and foster intersectoral collaboration. We argue that truly effective climate change biology must be global, equitable, and diverse.

Tropical Montane Cloud Forests Have High Resilience to Five Years of Severe Soil Drought - David C. Bartholomew; Paulo R. L. Bittencourt; Darcy Galiano Cabrera; Roxana Sacatuma Cruz; Jimmy R. Chambi Paucar; Daniela Corrales Alvarez; Eric Cosio; Blanca Espinoza Otazu; Darwin Manuel Mamani; Patrick Meir; George A. Muñoz Hermoza; Rafael S. Oliveira; et al. (Global Change Biology, 2026)
Tropical montane cloud forests (TMCFs) are globally important ecosystems, acting as large carbon sinks and supporting exceptional biodiversity. However, climate‐driven declines in rainfall threaten these forests, but their responses to long‐term soil moisture deficit remain poorly understood. We implemented a 5‐year throughfall exclusion (TFE) experiment in a Peruvian TMCF, reducing soil moisture by 69.1% across a 0.09 ha plot. We compared the full carbon cycle budget, and surveyed tree physiological traits linked to hydraulics, metabolism and nutrients in the TFE plot and an adjacent, unmodified control (CON) plot. Soil drought reduced gross primary productivity by 4.24 ± 1.97 Mg C ha −1 year −1 but did not change net primary productivity because of an equivalent 3.38 ± 1.42 Mg C ha −1 year −1 decline in autotrophic respiration. Net ecosystem exchange also remained unchanged over 5 years of soil drought. Trees did not change xylem conductivity, hydraulic safety margins or photosynthetic capacity in the TFE, but did have 0.027 ± 0.011 g cm −3 denser wood and 4.58% ± 1.03% higher trunk starch concentrations. These results suggest that trees in TMCF avoid hydraulic failure and carbon starvation under sustained soil moisture drought via metabolic downregulation, resource conservation and non‐structural carbohydrate storage. However, reduced uptake of nutrients (nitrogen, phosphorus, calcium) and 90.6% ± 29.8% decline in fruit production may impact future growth and demography. Our findings demonstrate surprising resilience of TMCFs to sustained, severe soil drought but highlight potential impacts on nutrient cycling and reproduction under climate change. Understanding the impacts of soil drought in conjunction with other climatic changes (e.g., fog reduction, temperature increases) is needed to fully assess the resilience of TMCFs to climate change.

Total number of feathers in the burrowing owl (Athene cunicularia) - Anahí E. Formoso; Daniel E. Udrizar Sauthier; David H. Johnson (Ornithology Research, 2025)

Repeat Expansions in a Chilean Cohort with Adult-Onset Cerebellar Ataxia - M. Leonor Bustamante; Marcelo Miranda; David Pellerin; Mariana Barreto; Claudia Silva; Ana C. Miranda; Benjamín Pizarro-Galleguillos; Octavio Azaldegui; Valentina Besa; Francisca Canals; María Eugenia Contreras; Marie-Josée Dicaire; et al. (The Cerebellum, 2025)

Urban city of tomorrow: Bicycle based measurements of particulate matter exposure before and after road closure to motorized traffic - Martin Fischer; Tobias Engeroff; Janis Dröge; Markus Braun; David Groneberg; Daniel Niederer (Urban Climate, 2025)

The palaeogeography of the Bass Strait land-bridge, a vital zone of human and biological connectivity across southeastern Australia - David M. Kennedy; Ali Jalali; Bruno David; Matthew C. McDowell; Rachel A. Nanson; Ashleigh J. Rogers; Russell Mullett; Joanna Fresløv; Jessie Birkett-Rees; Juliet Sefton; Daniel Ierodiaconou (Quaternary Science Reviews, 2025)

Stable Isotope Ecology of the Early Miocene Rusinga Island Mammalian Communities from the Hiwegi and Kulu Formations (Nyanza Province, Western Kenya) - David L. Fox; Nicole D. Garrett; Daniel J. Peppe; Lauren A. Michel; Kirsten Jenkins; Thomas Lehmann; Kieran P. McNulty (Palaeogeography, Palaeoclimatology, Palaeoecology, 2025)

A comparison of extraction methods for investigating organic matter contributions to soil water repellency - Nicholas R.R. DANIEL; Tania S.B. MONIR; Richard J. HARPER; David J. HENRY (Pedosphere, 2025)

Integrating machine learning into a fully coupled current-wave-sediment model: Characterizing particle size in the settling process in estuaries of the Great Barrier Reef, Australia - Ziyu Xiao; Daniel N. Livsey; Thomas Schroeder; David Blondeau-Patissier; Rodrigo Santa Cruz; Jiasheng Su; Dehai Song; Xiao Hua Wang; Geoffrey Carlin; Andrew D.L. Steven; Joseph R. Crosswell (Ocean Modelling, 2025)

Growth rate and finishing system alter beef color and early postmortem metabolism in Bos indicus crossbred cattle - Juan F. Morales Gómez; Patricia M. Ramos; Mariane Beline; Daniel S. Antonelo; Bruna Pavan; Rodrigo S. Goulart; Laila T. Kirkpatrick; David E. Gerrard; Saulo L. Silva (Meat Science, 2025)

On the transport of CO 2 and Radon in the geothermal area of Acoculco, Puebla, Mexico - Fernando J. Guerrero; Daniel Pérez-Zárate; Edgar Santoyo; Adrián Jiménez-Haro; David Yáñez-Dávila; Gustavo Santos-Raga (Journal of Volcanology and Geothermal Research, 2025)

The first record of a thunnosaurian ichthyosaur from the upper Albian of South America - Daniel Eduardo Pomar; Cristian David Benavides-Cabra; José Alejandro Narváez-Rincón (Journal of South American Earth Sciences, 2025)

Proximate composition, mineral profile, and nutritional lipid indices of drone and worker brood of honeybee (Apis mellifera Linnaeus, 1758) - Daniel García-López; Yolanda Moguel-Ordoñez; Yasser Chim-Chi; Luis Chel-Guerrero; David Betancur-Ancona (Journal of Asia-Pacific Entomology, 2025)

Erratum to “Extremely low-frequency magnetic fields (ELF-MF) and radiofrequency: Risk of childhood CNS tumors in a city with elevated ELF-MF exposure” [Environ. Res. Volume 286, Part 2, 1 December 2025, 122858] - Víctor Correa‐Correa; Juan Carlos Núñez‐Enríquez; Gabor Mezei; Roberto Rivera‐Luna; José Gabriel Peñaloza‐González; Salvador Daniel Rivas-Carrillo; Cuauhtémoc Gil Ortiz-Mejía; Claudia Flores-Robles; Erick Velasco-Ramírez; Mario Alexis del Real-Gallegos; Janet Flores‐Lujano; Fernanda Valeria Flores-Pérez; et al. (Environmental Research, 2025)

Extremely low-frequency magnetic fields (ELF-MF) and radiofrequency: Risk of childhood CNS tumors in a city with elevated ELF-MF exposure - Víctor Correa‐Correa; Juan Carlos Núñez‐Enríquez; Gabor Mezei; Roberto Rivera‐Luna; José Gabriel Peñaloza‐González; Salvador Daniel Rivas-Carrillo; Cuauhtémoc Gil Ortiz-Mejía; Claudia Flores-Robles; Erick Velasco-Ramírez; Mario Alexis del Real-Gallegos; Janet Flores‐Lujano; Fernanda Valeria Flores-Pérez; et al. (Environmental Research, 2025)

Experimental 3E analysis of a biomass gasification plant for off-grid electrification in rural Ghana - Antonio Escámez; Roque Aguado; Daniel Sánchez-Lozano; Francisco Jurado; David Vera (Bioresource Technology, 2025)

First record of acid sulfate soils in a southern African Ramsar estuarine lake - Janine B. Adams; Julia Penaluna; Chuene P. Lakane; Taryn Riddin; Gavin M. Rishworth; David Turner; Lara Van Niekerk; Daniel A. Lemley (Wetlands Ecology and Management, 2025)