Visible-Light-Assisted Coagulation for Microcystis Removal: An Oxidant-Free route with Process-Safety Implications - Yu Chen; Fangyi Li; Yani Liu; Jie Yuan; Jiajia Wang; Lin Tang (Water, Air, & Soil Pollution, 2026)

Synthesis of a Novel FeOCl Loaded Activated Carbon/Graphene Oxide Composite Electro-Fenton Cathode for High Efficient Petrochemical Wastewater Treatment - Jiayi Wang; Huanhuan Xu; Haotong Sun; Jiaotong Liu; Haiming Yang; Xin Geng; Baigang An (Water, Air, & Soil Pollution, 2026)

Sustainable Valorization of Ornamental Rock Processing Waste for Porous Adsorbent Development: Experimental and Density Functional Theory Analysis - Pietro Serraglio Figueiredo; Yasmin Vieira; Guilherme Luiz Dotto; Edson Luiz Foletto (Water, Air, & Soil Pollution, 2026)
Sandstone and white gravel residues were converted into adsorbents through alkaline fusion using KOH. Successful amorphization increased the porosity and specific surface area of sandstone from 7.07 to 36.74 m 2 g⁻ 1 , yielding an adsorbent, ASA, with markedly enhanced adsorption performance. Four probe cationic/anionic molecules were initially evaluated, with ASA exhibiting the highest adsorption capacity towards Crystal Violet (78.34 mg g⁻ 1 ; 81.24% removal). Response surface methodology optimized adsorption at an adsorbent dosage of 0.8 g L⁻ 1 and pH 9. Equilibrium was reached within 60 min, with a maximum adsorption capacity of 129.11 mg g⁻ 1 at 298 K. Thermodynamic analysis indicated that adsorption is spontaneous, exothermic, and predominantly driven by electrostatic interactions. At the optimum adsorption condition, only Crystal Violet and Methylene Blue remain in their cationic forms, favoring electrostatic attraction toward the negatively charged ASA surface (point of zero charge = 6.4). To rationalize the experimental adsorption behavior, quantum chemical calculations were performed using the predominant ionic forms of the investigated dyes. Although both dyes exhibited favorable electronic properties, Crystal Violet presented a broader and more accessible positive electrostatic potential distribution, intermediate electrophilicity (ω = 15.6 eV), and low chemical hardness (η = 1.48 eV), favoring multiple interactions and better accommodation on the ASA surface, consistent with its superior experimental results. At last, ASA maintained satisfactory performance over four adsorption–desorption cycles. These results demonstrate that alkaline fusion is an effective strategy for converting ornamental stone residues into a promising and reusable adsorbent for dye-contaminated wastewater.

Recent Developments on Immobilization of Heavy Metal Resistant Bacteria for Enhanced Metal Degradation - Shahnaz Bashir; Mohammad Noor Salaam Khan; Khalid Muzamil Gani (Water, Air, & Soil Pollution, 2026)

Potential of Pharmaceutical Effluent Reuse for Irrigation: Plant Performance, Yield, and Post-harvest Soil Responses in Brassica campestris L. var. Toria - Neeru Sharma; Anamika Sharma; Piyush Malaviya (Water, Air, & Soil Pollution, 2026)

Biodegradation of Diuron By Indigenous Soil Bacteria Isolated From Herbicide-contaminated Sites - Kadidja Ianne do Vale Almeida; Paulo Sérgio Fernandes das Chagas; Caio Álisson Diniz da Silva; Victória Késsia Silva Araújo; Bianca Pietra Santos Diniz; Francisco Sérvulo de Oliveira Carvalho; Jarlan Lucas dos Santos Silva; Ana Lara Alves Ferreira Landim; Luiz Fernando de Sousa Antunes; Caio Augusto Martins Aires; Rafael Wesley Bastos; Marcia Michelle de Queiroz Ambrosio; et al. (Water, Air, & Soil Pollution, 2026)
Residual herbicides are widely used in weed management; however, their persistence in the environment can lead to agronomic and ecological impacts. This study assessed bacterial isolates obtained from sugarcane soil with a history of diuron exposure for their ability to increase diuron dissipation under controlled conditions. Forty-two bacterial isolates were obtained, of which 18 tolerated the commercial formulation at 1,000 mg L −1 . In vitro assays identified isolates 7, 10, and 40 as the highest-performing isolates, with diuron reductions of 47.49%, 46.39%, and 43.86%, respectively. In autoclaved-soil microcosms, total diuron dissipation after 42 days reached 65.89%, 65.30%, and 65.81% for isolates 3, 7, and 35, respectively, compared with 52.91% in the uninoculated control; these values correspond to absolute increases of 12.98, 12.39, and 12.90 percentage points above the control. The estimated half-life decreased from 40.41 days in the control to 22.14, 22.60, and 22.29 days for isolates 3, 7, and 35, respectively. DCPMU (3-(3,4-dichlorophenyl)-1-methylurea) and DCA (3,4-dichloroaniline) were detected during incubation. The higher DCPMU levels are consistent with an initial N-demethylation step, whereas DCA was detected mainly at later sampling times and was not consistently increased by inoculation. Thus, the data support diuron transformation and increased dissipation but do not demonstrate complete degradation, mineralization, or detoxification. MALDI-TOF MS protein profiling provided provisional taxonomic matches for the selected isolates; no sequence-based confirmation was performed. The findings identify numbered isolates for further controlled evaluation, while sequence confirmation, biosafety assessment, metabolite-fate studies, and validation in non-sterile soil are required before any applied use.

Synthesis of Template-polymerized β-cyclodextrin-based Cationic Microblock Flocculants for the Efficient Removal of Emulsified Oil - Kun Li; Wei Song; Erming Ouyang; Hongwei Yang; Yuxin Yuan; Songbiao Xu; Rui Zhao (Water, Air, & Soil Pollution, 2026)

Efficient Degradation of Ciprofloxacin by δ-MnO2 Under Simulated Solar Light: Reactive Species, Kinetics and Water Constituents - Padmaja Vempalli; Sri Chandana Panchangam; Jheng-Sian Yang (Water, Air, & Soil Pollution, 2026)

Long-Term Genomic Surveillance Unveils Key Drivers of Salmonella Contamination and Antimicrobial Resistance Dynamics in Surface Waters from Central Mexico - Enrique Jesús Delgado-Suárez; Santiago Zapata-Ramírez; Luz del Carmen Sierra-Gómez Pedroso; Francisco Alejandro Ruíz-López; Nayarit Emérita Ballesteros-Nova; Orbelín Soberanis-Ramos; María Salud Rubio-Lozano; Luisa María Sánchez-Zamorano; Yaselda Chavarin-Pineda; Rebecca Bell; Anna Brover; Maria Balkey; et al. (Water, Air, & Soil Pollution, 2026)

Assessment of Forest Springs as an Alternative Source of Drinking Water: A Case Study of Czechia - Lukáš Alexa; Hana Hlaváčková; Hana Cigánková; Soňa Kouřilová; Andrea Viktorie Plhalová; Petra Trembecká; Tomáš Matoušek; Lenka Čermáková; Roman Ličbinský; Petr Kubáň; Martin Pivokonský; Pavel Mikuška (Water, Air, & Soil Pollution, 2026)

Visible-light-responsive TiO2–CaTiO3/CoTiO3 Nanocomposite for Enhanced Degradation of Organic Dye Pollutants in Aqueous Systems - Kamran Heydaryan (Water, Air, & Soil Pollution, 2026)

Wastewater-based Assessment of Licit and Illicit Drug Use in the Santiago Metropolitan Region, Chile - Wendy Calzadilla; Karla Montenegro; Andrés Yar; Sebastián Campos; Ricardo Salazar-González (Water, Air, & Soil Pollution, 2026)

A Comprehensive Methodology for Estimating Yearly Plastic Pollution Loads in Rivers - Stephanie B. Oswald; Esmee S. Oldenhof; Ad M. J. Ragas; Margriet M. Schoor; Frank P. L. Collas (Water, Air, & Soil Pollution, 2026)
Plastic pollution in freshwater systems represents a major global concern, as rivers serve as critical pathways between land-based sources and marine environments. Yet, inconsistencies are observed between estimated plastic inputs from land and concentrations in the ocean. Despite growing monitoring efforts, the lack of standardized methods and the use of diverse metrics for quantifying plastic pollution hamper direct comparisons across studies and limit comprehensive assessments. In this study, we developed a method for quantifying yearly macro- and mesoplastic load, incorporating different metrics. By integrating statistical analysis, the method accounts for variability in plastic concentrations and discharge rates. Subsequently, this methodology was applied to the Rhine and Meuse rivers in the Netherlands. The findings of this study indicate a spatial variability in plastic concentrations. The mean annual load of macro- and mesoplastics (items > 0.5 cm) in the Rhine was highest at Lobith, located at the Germany–Netherlands border (331 million items/year), decreasing downstream to 206 million items/year at Tiel. Similarly, in the Meuse, higher loads were observed at Eijsden, at the Belgium–Netherlands border (73 million items/year), than further downstream at Sambeek (62 million items/year), while particles in the 5–6 mm size range are likely underrepresented due to the 6 mm mesh size of the sampling net. Correspondingly, the mean annual surface area load of macro- and mesoplastics in the Meuse showed a downstream decrease, with mean values declining from 71,641.63 m 2 /year at Eijsden to 30,714.92 m 2 /year at Sambeek. The methodological approach enables the quantification of plastic loads, providing important insights into the dynamics of plastic pollution in river systems. This allows for predictions of future plastic quantities in the Rhine-Waal and Meuse rivers under different emission scenarios and measurement units.

Remediation of Black and Odorous Water using a Slow-release Composite Agent Containing CaO2, Zeolite, and Polymeric Ferric Sulfate: Effects on Water Quality and Chlorella Growth - Jinhai Li; Defu Xu; Yafei Xun; Ying Zhuang; Meiling Guan; Alan Howard (Water, Air, & Soil Pollution, 2026)

Pomegranate Peel Polyphenols-incorporated PVA/CMC Hydrogels for High-efficiency Removal of Methylene Blue from Aqueous Solutions - Qihua Zhou; Chenyang Wang; Simin Xu; Ziyi Duan; Tiantian Fu; Zhonghai Ding; Na Li (Water, Air, & Soil Pollution, 2026)

Carbonaceous Aerosols in a Karst Plateau City of Southwest China: Interannual Variation, Source Apportionment and Regional Transport - Tianqin Cai; Peng Xu; Zirui Liu; Yunwu Li; Guangxuan Yan; Xuehai Fei; Aping Niu; Shouyang He; Bo Hu; Aijiang Yang (Water, Air, & Soil Pollution, 2026)

Plot‑Scale Assessment of Sewage Sludge and Biochar Effects on Soil Properties, Soil Erodibility, and Runoff in Contrasting Textural Soil - Shamsollah Ayoubi; Mitra Hajabedi; Mohammad Reza Mosaddeghi (Water, Air, & Soil Pollution, 2026)

Candidate genomic regions associated with differential clinical response to lumpy skin disease in sahiwal cattle - Snehal Misal; Akshata Patil; Supriya Chhotaray; Rani Alex; Ravi Kumar Gandham; Vikas Vohra (Veterinary Research Communications, 2026)

Skin microbiota of fallow deer: Composition, diversity, and influencing factors - Lucia Štempelová; Jana Farbáková; Jozef Lazár; Dajana Gondoľová; Viola Strompfová (Veterinary Research Communications, 2026)

Combined effects of dietary ellagic acid and Bacillus coagulans on growth performance, antioxidant and immune responses, intestinal health, and resistance to Streptococcus agalactiae in striped catfish - Mahmoud Radwan; Moussa A. Moussa; Wafa Abdullah I. Al-Megrin; Jamila S. Al Malki; Fatimah S. Alharbi; Mahmoud A. El-Sharkawy (Veterinary Research Communications, 2026)

Human-mediated vegetative dispersal of the liverwort Riccia treubiana in a tropical city - Xin-Yue Chen; Boon-Chuan Ho (Urban Ecosystems, 2026)

Investigating impacts of land use and land cover (LULC) transitions in the indian himalayan region (IHR): a comprehensive systematic review - Nishant Mehra; Tanish Kango (Urban Ecosystems, 2026)

Beyond BioBlitzes: expert-led and occasional citizen science both shape urban biodiversity data — a case study from Siena, Italy - Debora Barbato; Andrea Benocci; Giuseppe Manganelli (Urban Ecosystems, 2026)

Anurans in culturally managed temple and shrine waterscapes in Kyoto: integrated visual, acoustic, and environmental DNA surveys - Kae Okoshi; Satsuki Tsuji; Kanto Nishikawa (Urban Ecosystems, 2026)

Trophic downgrading in the city: urban structural simplification erodes the snake component of reptile assemblages - Leonardo Vignoli; Luca Luiselli (Urban Ecosystems, 2026)
Urbanization is widely recognized as a major driver of biodiversity loss, yet its effects on the trophic structure of reptile communities remain poorly understood. This study re-analysed reptile presence–absence data from urban green-space fragments in Rome, Italy, to examine how urban habitat simplification affects the snake component and the trophic and functional structure of reptile assemblages. Fifteen reptile species were classified into functional and trophic groups, and several assemblage metrics were evaluated, including snake richness, lizard and gecko richness, trophic complexity, community trophic index, and dominance of urban-tolerant species. These metrics were related to fragment size, woodland cover, wetland presence, connectivity, and distance from the city centre. Results revealed a sharp, data-supported transition in snake occurrence across the woodland-cover gradient. Small fragments with limited woodland cover were dominated by urban-tolerant lizards and geckos, while snakes were largely absent. In contrast, larger and more structurally complex fragments retained diverse snake assemblages, particularly where wetlands were present. Woodland cover and wetlands were the strongest predictors of snake richness, whereas snake occurrence was best explained by total fragment size and wetland presence. Additional sensitivity analyses showed that the main pattern was robust to the exclusion of empty fragments and to alternative trophic-scoring schemes, although the strength of the trophic-complexity signal was reduced under the most conservative classification. Overall, our results suggest that urbanization-related habitat simplification is associated with taxon-linked trophic and functional simplification: small fragments retain some urban-tolerant lizards and geckos, but largely lose the snake component of the assemblage. These findings indicate that reptile assemblages can provide useful information on functional erosion in urban landscapes, while also emphasizing that trophic position, taxonomic affiliation and habitat-use traits may be difficult to disentangle in small vertebrate assemblages.

Unraveling the spatial behavior and habitat selection of sympatric brown and roof rats in a major South American seaport - Tadeo J. Brühl Day; Mariel A. Tripodi; Lucía M. Pereyra-Civiello; Carolina B. Gomez; Diego Hancke; Olga V. Suárez; Emiliano Muschetto (Urban Ecosystems, 2026)

Artificial tree holes as a tool to assess spatial and temporal variation in cavity-associated invertebrate assemblages: a case study of two contrasting forest sites in Tokyo - Ryota Asano; Tomohiro Yoshida (Urban Ecosystems, 2026)

More than just green: the role of vegetation heterogeneity for species richness and multidiversity in urban green spaces - Giulia Casciano; Janine Bolliger; Achilleas Psomas (Urban Ecosystems, 2026)
Urban green spaces (UGS) provide important ecological, social, and climatic functions, but their effectiveness depends not only on their extent but also on their vertical vegetation structure. To this end, we present a high-resolution urban green space typology (UGST) for four Swiss cities (Basel, Bern, Geneva, and Zurich) derived from remotely sensed thematic (NDVI) and structural (vegetation height and VCI) data, comprising 33 classes. The structural heterogeneity of the vegetation cover was consistently bimodal, with low-complexity vegetation (grass) or tall, high-complexity wooded areas dominating, while intermediate structures were underrepresented. The UGST was used to assess species richness across five taxonomic groups and a multidiversity score (mean normalized richness across all groups) using GAMs under varying thematic resolutions. Results indicated taxon-specific, generally non-linear associations between normalized recorded species richness or multidiversity and the individual component scores or percentage cover of several UGST classes. The fine-grained joint models had higher in-sample deviance and explained more variance compared to highly aggregated-class and total-green-cover formulations, although the formulations differed in complexity and were not evaluated out of sample.

Prioritizing ecological restoration in green belt areas via a connectivity approach - Seungwoo Son; Gilsang Lee; Sanghyuk Lee (Urban Ecosystems, 2026)

Variation in apparent wood density of Tachigali vulgaris as affected by tree diameter, height, forking, and soil conditions in Amazonian plantations - Jonathan Dias Marques; Gabriela Morais Olmedo; Michael Douglas Roque Lima; Gabriel Assis-Pereira; Elvis Vieira dos Santos; Delman de Almeida Gonçalves; Arystides Resende Silva; Lina Bufalino; Marciel José Ferreira; Mario Tomazello‑Filho; Thiago de Paula Protásio (Trees, 2026)
Tachigali vulgaris has potential for energy purposes in the Amazon, but the relationship between several silvicultural factors and wood quality requires further investigation. This study evaluated the variation in the apparent density of T. vulgaris wood in two pure plantations in the Amazon. The tested factors were diameter, height, stem forking, fertilization, and soil texture. Two 11-year-old trial plantations located on yellow oxisols with sandy loam and very clayey textures were evaluated, both with and without phosphorus and potassium fertilization. Discs were sampled along the stem heights, and apparent wood density was determined by X-ray densitometry. The Linear mixed-effects model showed that wood density was significantly associated with quadratic mean diameter and commercial height, unlike stem forking, soil texture, or fertilization. A marginal interaction between fertilization and soil textural class occurred. Despite no significant effect of stem forking on wood density, forked trees were more heterogeneous longitudinally. Multivariate analysis of variance indicated that the longitudinal variation within trees accounted for 69% of the total density variation, while variation among trees accounted for 31%. X-ray densitometry showed wood density increased over eleven cambial years, with average values ​​ranging from 0.619 g cm −3 to 0.729 g cm −3 . Moreover, it decreased from the base (0.725 g cm −3 ) to approximately 50% of the commercial height (0.539 g cm −3 ), then increased towards the top (0.605 g cm −3 ). The disclosure of a wide variation in the wood density of T. vulgaris will support its sustainable management regarding optimized bioenergy plantations in the Amazon.

Contrasting stem NSC dynamics in evergreen and deciduous conifers of a Siberian mixed forest - Alberto Arzac; Tatiana A. Stepina; Oksana V. Sergeeva; Maria A. Tabakova; Marina V. Fonti; Anastasia А. Knorre; Patrick Fonti (Trees, 2026)
Key message Siberian evergreen conifers maintain stable starch reserves, while deciduous larch adopts a dynamic carbon strategy with autumn NSC accumulation to fuel spring growth, enhancing boreal forest resilience. Abstract Non-structural carbohydrates (NSC) play a fundamental role in tree growth, metabolism, and resilience by buffering temporal imbalances between carbon supply and demand. However, comparative studies integrating long-term growth records with stem NSC dynamics remain scarce in Siberian boreal forests. Here, we combine six decades of tree-ring width (TRW; 1960–2022) analyses with radial stem NSC profiling (1993–2022) and seasonal NSC measurements during the 2022 growing season to investigate growth responses and stem carbohydrate storage dynamics in three co-existing Siberian conifers ( Pinus sylvestris L., Abies sibirica Ledeb., and Larix sibirica Ledeb.). Tree-ring chronologies reveal species-specific climate-growth relationships despite the common environment. P. sylvestris responds positively to warm autumn and late winter temperatures, A. sibirica to previous autumn and current summer precipitation, whereas L. sibirica shows greater sensitivity to current-year temperature. Stem NSC dynamics also differ markedly among species. The evergreen P. sylvestris and A. sibirica maintain relatively stable, starch-dominated NSC pools, whereas the deciduous L. sibirica exhibits pronounced seasonal fluctuations and substantially greater autumn reserve accumulation. Across all species, NSC concentrations increased towards the outermost sapwood. These findings demonstrate that co-existing boreal conifers differ in both climate-growth relationships and stem NSC storage dynamics. Contrasting stem storage patterns provide a physiological framework for interpreting species-specific growth responses and may contribute to understanding the resilience of mixed boreal forests under future climate change.

Haplotype phasing of de novo chromosome-level assembly of ‘Antonovka’ facilitated the identification of candidate genes for apple scab resistance - Anže Švara; Stijn Vanderzande; Richard Tegtmeier; Hana Feulner; Matthew D. Clark; James J. Luby; Awais Khan (Tree Genetics & Genomes, 2026)

Ecosystem engineering by mud wasps: influence of the environment and nest structure - Fernanda Eloísa García-Ibarra; Sebastian Serna-Muñoz; Armando Aguirre-Jaimes; José G. García-Franco; Samuel Novais (The Science of Nature, 2026)

Integrated network pharmacology, transcriptomics and proteomics unveils the mechanisms of Forsythiae Fructus against acute lung injury - Qingqing Deng; Zeyang Dong; Qingqing Li; Jiaxin Bai; Jiqing Bai; Xiaoping Wang (The Science of Nature, 2026)

Semi-decadal scale rice mapping (2003–2023) using multi-sensor data and machine learning methods in the Indo-Gangetic Plain - Bristi Ghosh; Bikash Ranjan Parida (Spatial Information Research, 2026)

Scale sensitivity of walkability indicators in Southeast Asian megacities: an open-source computational framework - Francisco Benita (Spatial Information Research, 2026)

Robust identification of known and unknown weeds with crop center localization based on Open-set object detection - Lamin L. Janneh; Leilei He; Bryan Gilbert Murengam; Xiaojuan Liu; Mbemba Hydara; Man Xia; Rui Li; Yanxin Zhang; Longsheng Fu (Precision Agriculture, 2026)

Precision monitoring of leaf area index and chlorophyll content of major field crops in Northern Europe using UAV remote sensing and radiative transfer modeling - Shangharsha Thapa; El Houssaine Bouras; Per-Ola Olsson; Erik Alexandersson; Thomas Roitsch; Johannes Albertsson; Axel Hörteborn; Lars Eklundh (Precision Agriculture, 2026)
Purpose Long-term monitoring of crop biophysical and biochemical traits remains challenging in high-latitude regions due to short growing seasons, frequent cloud cover, and highly variable weather. In this context, unmanned aerial vehicles (UAVs) offer flexible, high-resolution observations, but their added value relative to low-cost proximal sensors and their effectiveness for radiative transfer model (RTM) inversion across diverse crop canopies remain insufficiently quantified. This study evaluated the potential of a two-band proximal spectral reflectance sensor (SRS) and a five-band multispectral UAV sensor for retrieving leaf area index (LAI), leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC) using PROSAIL inversion across major crops in Northern Europe over two growing seasons (2023–2024). Methods and Results Two inversion approaches – look-up table (LUT) and artificial neural network (ANN) were applied to PROSAIL simulations. UAV–PROSAIL–ANN outperformed LUT-based inversion and SRS observations, achieving the highest accuracy for LAI (R 2 = 0.81–0.95; RMSE = 0.27–0.77 m 2 /m 2 ), followed by CCC (R 2 = 0.58–0.94; RMSE 2 ), while LCC remained less accurately estimated (R 2 = 0.26–0.78; RMSE 2 ). Across sensors and methods, retrieval accuracy decreased in the order of LAI, CCC, and LCC, reflecting the stronger spectral control of canopy structure compared to biochemical traits. Conclusions The UAV–PROSAIL–ANN framework effectively captured spatial and temporal variability in crop traits, producing canopy-scale maps consistent with field observations. These results demonstrate the robustness and scalability of hybrid PROSAIL–ANN inversion for high-latitude crop monitoring, while highlighting current limitations in biochemical trait retrieval using multispectral data.

Multi-scale calibration strategies and minimal ground-truth requirements for soil moisture mapping on golf course fairways with portable L-band passive radiometry - Madan Sapkota; Elia Scudiero; Weston W. Floyd; Benjamin G. Wherley; Jacob O. Winger; David S. McCall; Travis L. Roberson; Elisabeth Kitchin; Chase M. Straw (Precision Agriculture, 2026)
Purpose L-band passive microwave radiometry enables reliable soil moisture retrieval from satellites but at spatial resolutions too coarse for precision irrigation. Portable near-ground L-band radiometers offer a high-resolution alternative. This study evaluated a Portable L-band Radiometer (PoLRa) for estimating volumetric water content (VWC), comparing manufacturer-calibrated estimates with data-driven calibration approaches and quantifying ground-truth requirements. Methods Field experiments were conducted at four golf courses in Texas and Virginia from August 2023 to March 2025, with three fairways per site across 17 surveys. Brightness temperature was collected using a vehicle-mounted PoLRa, and ground-truth VWC was measured at 11 to 12 locations per fairway using time domain reflectometry (TDR). Model performance was evaluated across 5,000 calibration and evaluation iterations, with three samples per fairway. Site-dependent models employed analysis of covariance (ANOCOVA), and minimal calibration analyses evaluated ground-truth sample sizes ( N = 2 to 8) per fairway. Results Manufacturer-calibrated PoLRa estimates showed weak agreement with TDR (R² = 0.40). Data-driven site-independent models failed to maintain accuracy across locations and times (RMSE > 0.089 m 3 m − 3 ). Site-dependent models substantially improved performance (R² = 0.727 to 0.757; RMSE = 0.052 to 0.056 m 3 m − 3 ), with the global ANOCOVA model balancing accuracy and scalability. Minimal calibration analysis showed three ground-truth samples per fairway achieved acceptable errors (RMSE Conclusion Through site-dependent calibration, PoLRa can provide reliable soil moisture estimates, enabling scalable soil moisture mapping for precision irrigation and turfgrass management.

Response of Potato (Solanum tuberosum L.) Growth and Mini-tuber Yield to Different Amino Acid Spraying and Nutrient Solution Concentration in Aeroponic System - Mahdi Bikdeloo; Hamid Reza Roosta; Mohammad Hasan Mohammadi; Alireza Khaleghi (Potato Research, 2026)

MarketDNA: Discrete Market-State Tokenization for Multi-Centre Potato Price Forecasting - Yun Zhu; Shuyi Yang; Qihui Ling; Kexiang Wei; Juchuan Dai (Potato Research, 2026)

NanoTeacher-YOLO26: Foundation-to-Edge Self-Supervised Distillation for Lightweight Potato Disease Detection - Ziran Li; Mian Gong; Fengyong Sun (Potato Research, 2026)

Non-denaturing fluorescence in situ hybridization: a transformative tool for chromosome identification and engineering for crop improvement in the plant genomics era - Chengzhi Jiang; Guangrong Li; Min Wan; Ennian Yang; Shulan Fu; Zongxiang Tang; Peng Zhang; Zujun Yang (Planta, 2026)

Salinity strengthens plant–pollinator mutualism through leaf physiological status in grafted tomatoes - Ángela S. Prudencio; Cristina Martínez-Andújar; José Ángel Martín-Rodríguez; Rim Ben Youssef; Purificación A. Martínez-Melgarejo; Juan José Guerrero; Maialen Ormazabal; Francisco Pérez-Alfocea (Planta, 2026)
Main conclusion The interaction between rootstock-mediated leaf Na and nutrient concentrations, and the subsequent impact on Fv/Fm and unbalanced C/N are major traits associated with plant growth, yield, and bumblebees’ pollinating activity under salinity. Abstract Soil and water salinization compromises crop yield by reducing plant growth and reproductive fitness through altering source-sink activities, which in turn, affects pollination ecosystem services. However, while pollination services are barely considered as crop breeding targets, little is known about how stress-induced changes in plants affect pollinators’ nutritional landscape and their foraging decisions. To address this gap, visually assessed pollination activity of managed bumblebees ( Bombus terrestris ) was monitored in a tomato commercial cultivar ( Solanum lycopersicum L. Mill) grafted onto 26 experimental rootstocks, and related to agronomic and leaf/flower physiological traits under optimal (control) and saline (75 mM NaCl) conditions. Rootstock and salinity generated variability in agronomic (biomass, fruit yield and quality) and physiological (leaf and flower ionomics, chlorophyll fluorescence) traits, as well as in pollinator foraging behavior (flowers visited and preference). Based on a correlation analysis, the environmental pressure imposed by salinity strengthened plant–pollinator mutualistic interactions since rootstock-mediated fruit yield and plant vigor were associated not only with the leaf nutrient (C, N, P, K, Ca, S, Zn) and Fv/Fm status, but also with bumblebees’ activity. Leaf Na concentration emerged as the strongest negative factor associated with plant growth, physiology and yield as well as with pollinator activity, while flower abortion was more closely linked to leaf C, N and P status rather than Na levels in flowers. The results suggest that pollinator foraging decisions under salinity may reflect the plant physiological status and C/N balance, supporting a potential role for pollinators as ecosystem phenotypers for plant selection and breeding under environmental pressure.

Biosynthesis and regulatory mechanisms of anthocyanins in rapeseed (Brassica napus) - Hongyan Wang; Emily Nyangoma; Xiangyan He; Zhengfu Wang; Fuyong Zhao (Planta, 2026)

Dexamethasone-inducible LhGR/pOp system: simple and flexible spatiotemporal control of gene expression - Zuzanna Majewska; Grzegorz Jursza; Alicja Dolzblasz (Planta, 2026)
Main Conclusion Our review illustrates how the dexamethasone-inducible LhGR/pOp system has been used across numerous tissues/organs and plant species, and summarizes the resources and inducer application procedures established to date. Abstract The establishment of groundbreaking molecular biology tools has enabled the rapid advancement of research based on the model plant Arabidopsis , which currently strongly benefits non-model but economically important species. Spatiotemporal control of transgene expression via the chemically inducible system GR-LhG4/pOp has proven to be a particularly powerful, universal and non-invasive experimental approach. This review characterizes the mechanism of action of GR-LhG4/pOp and synthesizes information on available GR-LhG4 transgenic lines and inductor (dexamethasone) application procedures across various plant tissues. Moreover, feasible experimental approaches are depicted that range from classical ones aiming at selected genes overexpression or silencing to highly innovative ones, like those integrating the GR-LhG4/pOp system with CRISPR-Cas for targeted ablation of specific cell types. Information about the existing GR-LhG4/pOp lines from non- Arabidopsis plants is also provided, in hope that this sophisticated but universal research tool will become more exploited in crop research.

Metabolism meets transport: a new perspective on auxin homeostasis at subcellular level - Ludmila Včelařová; Jakub Lemberk; Ondřej Novák; Aleš Pěnčík (Planta, 2026)
Main conclusion This review highlights recent advances revealing auxin homeostasis as an integrated network of metabolism and transport, emphasizing subcellular compartmentalization as a key regulatory principle. Abstract Indole-3-acetic acid (IAA), the principal auxin, is a central regulator of plant growth and development throughout the plant life cycle. Recent discoveries have reshaped our understanding of auxin metabolism and highlighted its close integration with auxin transport in maintaining cellular homeostasis. This review summarizes current knowledge on IAA metabolism and places it into the broader framework of auxin distribution within plant cells. The spatial distribution of auxin is tightly linked to its metabolic regulation, as localized auxin accumulation underlies many developmental and signaling processes. Subcellular compartmentalization of auxin into organelles such as the endoplasmic reticulum or vacuole is closely associated with metabolic modifications that influence auxin transport and availability, although the mechanisms governing the movement of auxin conjugates across organellar membranes remain poorly understood. Directed auxin transport delivers active IAA to specific intracellular sites where enzymes catalyze its conjugation, hydrolysis, or degradation. Together, these interconnected processes create a dynamic regulatory network that coordinates auxin metabolism, transport, and compartmentalization to maintain auxin homeostasis and ensure precise control of plant growth and development.

Identification and functional characterization of UDP-glycosyltransferases catalyzing the glycosylation of oleoside 11-methyl ester in Olea europaea - Lili Jiang; Penggang Bai; Jun Tang; Yibin Zhuang; Hua Yin; Tao Liu (Planta, 2026)

Integrated analysis of auxin-related gene families and WGCNA reveals regulatory mechanisms underlying reproductive organ development in pear - Wanqing Li; Bobo Song; Xiaolei Liu; Peilin Han; Jingwei Li; Jiahao Zeng; Jinran Xu; Tianyu Wang; Jun Wu (Planta, 2026)

Disakisperma species (Poaceae): C4 halophytes with ion excretion via salt glands - Tatyana A. Borisenko; Peter M. Zhurbenko; Elena V. Voznesenskaya; Asaph Cousins; Nuria K. Koteyeva (Planta, 2026)

Comparative cytogenetics and rDNA organization in Cactaceae: insights from Armatocereus mataranus subsp. ancashensis - Luis G. Rojas; Marlon Garcia-Paitan; Gean Ciprian-Salcedo; María Siles; Alberto López (Plant Systematics and Evolution, 2026)
Cytogenetic data remain limited for many lineages of Cactaceae, constraining our understanding of chromosome evolution in this diverse family. Here, we combine newly generated cytogenetic and genome size data for Armatocereus mataranus subsp. ancashensis with a comparative dataset of ribosomal DNA (rDNA) organization across Cactaceae to examine patterns of locus number and chromosomal distribution. rDNA loci were analysed using fluorescence in situ hybridization (FISH) with 5S and 45S probes, and nuclear DNA content was estimated by flow cytometry. Somatic cells exhibited 2n = 22 chromosomes, consistent with a diploid condition based on x = 11. Two 5S rDNA loci were located on different chromosome pairs, while a single terminal 45S rDNA locus was detected on another pair. The diploid genome size was estimated at 2C = 2.73 pg, and flow cytometric profiles indicated the presence of endopolyploidy. Comparative analyses across Cactaceae show that rDNA locus number and chromosomal distribution in A. mataranus subsp. ancashensis are broadly consistent with patterns reported in both Cactoideae and Opuntioideae. These findings place the cytogenetic characteristics of this taxon within a broader comparative context and highlight patterns of both conservation and variation in rDNA organization across Cactaceae. Finally, these data may be useful as a cytogenetic reference for future conservation studies on A. mataranus subsp. ancashensis .

Morph-specific strength of directional selection on number of flowers in Primula alpicola - Yun Wu; Hu-Han Yi; Yong-Peng Cha; Jin-Song Chen (Plant Ecology, 2026)

Nutrient enrichment shapes functional trait plasticity in Pontederia crassipes - Titam Dey; Samim Borbhuyan; Tapati Das (Plant Ecology, 2026)

Editorial on “soil health and fertilizer strategies: bridging research and practice” - Upendra Singh; Prem Bindraban; Paul Vlek (Nutrient Cycling in Agroecosystems, 2026)

Fertilization drives NH3 source-sink divergence via leaf compensation points in croplands - Gaoqi Wang; Jinzhi Yao; Kang Yang; Rui Pang; Xiaoxin Li; Jinling Lv; Wenxu Dong; Chunsheng Hu (Nutrient Cycling in Agroecosystems, 2026)

Clinical Characteristics, Diagnosis, and Treatment of Central Nervous System Candidiasis: A Systematic Review of 418 Cases - Guilherme Diogo Silva; Mariane Taborda; Wdson Luis Lima Kruschewsky; Leonardo Torioni; Mariane Cappellini Stricagnolo; Bernardo Ferreira Camilo; Isadora Campos de Sousa Abreu; Isabela Cristina Oliveira Silva; Nadine Correia Silva Santos; Gabriel Diniz Resende; Marcello Mihailenko Chaves Magri; Adriana Satie Gonçalves Kono Magri; et al. (Mycopathologia, 2026)
Background Central nervous system (CNS) candidiasis is a rare but life-threatening complication of invasive candidiasis. However, current knowledge derives mainly from isolated case reports, and no comprehensive synthesis has been previously performed. Methods We conducted a systematic review of published cases of CNS candidiasis. PubMed and Embase were searched without language or date restrictions. Eligible cases required microbiological or histopathological confirmation of Candida spp. and evidence of CNS involvement on cerebrospinal fluid (CSF) analysis or neuroimaging. Demographic, clinical, radiological, laboratory, therapeutic, and outcome data were extracted. We compared mortality and non-mortality groups, paediatric and adult patients, and diagnostic periods. Results We identified 418 patients reported between 1945 and 2024 (median age, 21 years [IQR 0–46]; 62% male). Prior antibiotic use (53%), intravascular catheterization (31%), and neurosurgery (22%) were common risk factors. Neuroimaging was abnormal in 87% of cases, and cerebrospinal fluid was abnormal in 96%, typically showing neutrophilic or lymphocytic pleocytosis and low glucose. Nearly half of cases were pediatric (41% of very-low-birth-weight neonates), who more often had healthcare-associated risk factors and less often immunosuppressive conditions. Overall mortality was 35%, mostly within 30 days; older age was associated with higher mortality, whereas combination antifungal therapy and more recent diagnostic periods were associated with lower mortality in multivariate analysis. Over time, immunosuppression, non-albicans Candida species, and antifungal use increased, while autopsy-based diagnoses and mortality declined. Conclusion CNS candidiasis is a rare but severe infection with challenging diagnosis and high mortality, emphasizing the importance of early recognition and appropriate antifungal therapy.

First Reported Neonatal Invasive Candidozyma auris (Candida auris) Infection in Brazil: Successful Management, Evolving Amphotericin B Resistance, and Infection Containment - Angelica Zaninelli Schreiber; Ana Luisa Perini Leme Giordano; Barbara Cipulo Legabão; Lais Pontes; Edson Aparecido da Luz; Giuliana D’Angelo Moreno; Gisele Giuliane Guedes; Stefânia Lucizani Pacífico; Mariana Marques Fernandes Moreira de Souza; Tânia Sueli de Andrade; Carolina Carvalho Ribeiro do Valle; Jamil Pedro de Siqueira Caldas (Mycopathologia, 2026)

SARS‑CoV‑2 Associated Shifts in the Upper Respiratory Tract Mycobiome in Non-hospitalized Cases - Siddharth Singh Tomar; Krishna Khairnar (Mycopathologia, 2026)

Mathematical modeling and analysis of the post-war nexus: mining expansion, environmental contamination, and ecosystem health in Tigray - Berhe Nerea Kahsay; Mehari Kinfe (Modeling Earth Systems and Environment, 2026)

Simulating ecosystem services and ecosystem risks for ecological zoning in the Wuling mountain area - Xuhui Wei; Diwei Tang (Modeling Earth Systems and Environment, 2026)

Enhancing river water quality modelling using a PCA-based multivariate Water Quality Index with machine learning prediction across 14 Malaysian river basins - Nur Aqlima Adawiyah Abdullah; Hafizan Juahir (Modeling Earth Systems and Environment, 2026)

On some novel soliton structures for the (2+1)-dimensional generalized Caudrey-Dodd-Gibbon-Kotera-Sawada model in fluids - Kalim U. Tariq; Reem K. Alhefthi; Adil Jhangeer; Kamyar Hosseini; R. Nadir Tufail (Modeling Earth Systems and Environment, 2026)

Downburst environments over Tehran: regional calibration of the DPP using ERA5 reanalysis - Mehdi Rahnama; Farahnaz Fazel-Rastgar; Sakineh Khansalari (Meteorology and Atmospheric Physics, 2026)

Evaluating linear stochastic models and an enhanced Thomas–Fiering approach against GCM projections for annual climate trends - Farhad Daliri; Hoshin V. Gupta (Meteorology and Atmospheric Physics, 2026)

Quartile-based assessment of seasonal thermal-period dynamics (1951–2024): station-level evidence from North Macedonia - Lidija Stojova; Ivancho Kaevski; Bojana Aleksova (Meteorology and Atmospheric Physics, 2026)

Analysis of West African Monsoon precipitation modulation by diverse aerosol species using reanalysis dataset (1980–2025) - S. S. Aladodo; I. Y. Tudunwada; J. Otu; S. B. Sharafa; C. O. Akoshile (Meteorology and Atmospheric Physics, 2026)

Integrated Physiological, Transcriptomic, and Gut Microbial Responses of Chinese Mitten Crab (Eriocheir sinensis) to Acute Salinity Stress - Yiming Li; Yucong Ye; Zongli Yao; Yan Li; Pengcheng Gao; Zhen Sun; Yuxing Wei; Kai Zhou; Binhong Guo; Yunlong Zhao; Qifang Lai (Marine Biotechnology, 2026)

Coexisting salps exhibit distinct feeding selectivity on microorganisms in the North Pacific Subtropical Gyre - Anne W. Thompson; Kylee M. Lamberson; Kelly R. Sutherland (Marine Biology, 2026)

Global distribution and depth of the Bigfin squid Magnapinna spp - Alan J. Jamieson; Jeff Day; Joao Corona; Yakufu Niyazi; Denise J.B. Swanborn (Marine Biology, 2026)
The Bigfin squid Magnapinna spp. is elusive and rarely encountered, yet its charismatic morphology of large fins and extraordinarily long tentacle filaments makes it an instantly recognisable deep-sea genus by both scientific and non-scientific audiences. The striking visual imagery of in-situ observations has resulted in as many records being published online via social media as they are in the scientific literature. Here we collate all known sightings of Magnapinna spp. across all reporting formats. In total we collated 46 individual sightings that includes 15 from the Gulf of Mexico (32.6%), ten from the Indian Ocean (21.7%), ten from the Atlantic Ocean (21.7%), nine from the Pacific Ocean (19.6%), and two from the Caribbean Sea (4.3%). Nineteen of these observations (41.3%) were published in eight scientific papers, while the remaining 27 (58.7%) were reported in online video repositories, news articles, social media posts or other online outlets. There were no reports from the polar regions and the farthest north and south it has been sighted is 28.5°N and 37.2°S respectively. However, seventeen records of captured specimens, that are also collated and discussed, show they are present to at least 44.1°N. Based on the in-situ records, Magnapinna spp. has a mean depth of 2992 m ± 1067 s.d. (range = 1578–6212 m), however nearly half of the specimen records show minimum depths in the top 600 m. The specimen records show that Magnapinna spp. is collected on average every 8.1 years while it is observed in situ every 0.8 years on average (with 73.9% of these observations from the last 20 years). This study places emphasis on how non-traditional scientific sources – particularly independent data collation initiatives and industry-generated footage - are valuable for resolving large-scale patterns in such charismatic genus.

Age, body size, and amino acid drivers of δ2H variation in a seabird, the Cocos booby - Kaycee Morra; Madelyn Jacobs; Roxana Torres; Marilyn Fogel; Anne Wiley (Marine Biology, 2026)

Diving adaptations of migratory seabirds: oxygen stores in Procellariiformes highlight a key role for pectoral myoglobin in determining dive behaviour - Rachel F. Goddard; Jamie Darby; Anthony J. R. Hickey; Graeme A. Taylor; Brendon J. Dunphy (Marine Biology, 2026)
Some migratory procellariiform (tube nosed) seabirds can dive to depth yet the physiological mechanisms underpinning their dive performance remain poorly described. We compared dive capacity traits (total oxygen stores, theoretical aerobic dive limit ( t ADL) and muscle buffering) in three species of Procellariiformes that spanned a range of dive behaviour, i.e., grey-faced petrel ( Pterodroma gouldi , x̄ dive depth/duration: 1.6 m, 4 s), flesh-footed shearwater ( Ardenna carneipes , x̄ dive depth/duration: 3.5 m, 6.9 s) and the sooty shearwater ( Ardenna grisea , x̄ dive depth/duration: 6.9 m, 39.7 s). Our results show that the deeper and longer diving shearwaters have significantly higher total oxygen stores than grey-faced petrels i.e., 41.0 ± 3.1 mL O 2 kg − 1 for grey-faced petrels versus 46.2 ± 2.3 and 48.6 ± 2.2 mL O 2 kg − 1 sooty shearwaters and flesh-footed shearwaters respectively. This is mirrored in respective t ADL times with 44.2 ± 3.4 s for grey faced petrels, versus 49.6 ± 2.7 and 52.3 ± 2.4 s for sooty shearwaters and flesh-footed shearwaters respectively. Furthermore, dive logger data indicates that these species would rarely exceed t ADL. Myoglobin concentrations in pectoral muscles of our study species correlated strongly with diving ability. This myoglobin oxygen supply appears sufficient to keep metabolism of flight muscles aerobic as muscle buffering capacity differed minimally among species. Lastly, temporal differences in haematological parameters suggest a plasticity in blood oxygen stores among years. Our results show the degree to which physiological adaptations meet function, with Procellariiformes exhibiting traits that match their underwater performance.

More than just temperature: the effects of nest relocation on incubation environment and hatchling quality in green turtles (Chelonia mydas) - David Dor; David T. Booth; Lisa E. Schwanz (Marine Biology, 2026)
Nest relocation and shading are widely used conservation strategies intended to mitigate threats to marine turtle hatchling survival. However, these interventions may carry unintended fitness costs. Estimating such effects can be challenging, especially in the absence of opportunities to compare with natural, undisturbed nests. Green turtle ( Chelonia mydas ) clutches were assigned to one of three treatments ( in situ , shaded relocation, or unshaded relocation) on Heron Island, Queensland, Australia (23.44307° S, 151.91809° E), during two nesting seasons (Dec 2022 – Feb 2023 and Dec 2023 – Feb 2024). Incubation temperature, hatching and emergence success, sex ratio, morphology (carapace size and body mass), and performance (self-righting ability and crawl speed) were assessed. Relocated unshaded nests exhibited higher incubation temperatures than in situ and shaded nests, especially during the final two weeks of incubation. Consequently, warmer nests produced smaller hatchlings with higher mass relative to size (residual mass) and poorer self-righting performance. Notably, in situ and shaded relocated nests had comparable incubation temperatures, yet still differed in hatching success, hatchling size, and self-righting ability, indicating that relocation can carry developmental consequences independent of those related to thermal averages. These findings highlight the importance of prioritising in situ nesting where feasible and accounting for both thermal and non-thermal factors of relocation sites if relocation is required.

Fine-scale patterns and ecology of high-density Heliometra glacialis (Crinoidea) aggregations in a Marine Protected Area, Atlantic Canada - Laura L. Teed; Peter Lawton (Marine Biology, 2026)

Enhancing individual identification of giant anteaters using natural pelage markings - Gabriel Favero Massocato; Alessandra Bertassoni; Vitor Adorno; Arnaud L. J. Desbiez (Mammal Research, 2026)

Social system and spatial behavior drive interspecific differences in foraging intensity and plant-level damage in sympatric ungulates - Hayato Takada (Mammal Research, 2026)

From refuge to risk: puma (Puma concolor) space use across protected areas and adjacent livestock ranchlands in the Monte ecoregion of Argentina - Elín A. Avellá Machado; M. Soledad Albanese; Flavio M. Cappa; M. Fernanda Cuevas; Yamila Ontiveros; Diego Zeverini; Mónica I. Cona; Claudia M. Campos (Mammal Research, 2026)

Living with an apex predator: what do hair glucocorticoids tell us about red fox physiology? - Moisés Leal; Jorge Henriques; Alexandre Azevedo; Jella Wauters; Victor Bandeira (Mammal Research, 2026)

The enduring vision of Agustín Udías - Angela Saraò (Journal of Seismology, 2026)

Empirical ground motion equations for the Eastern Alps, Austria - María del Puy Papí-Isaba; Maurizio Mattesini; Wolfgang Lenhardt; Elisa Buforn (Journal of Seismology, 2026)

Characterization of fungi associated with the decline syndrome of strawberry from organic cultivation in Southern Italy - Stefania Mirela Mang; Carmine Palmieri; Ippolito Camele; Alberto Sellitto; Mihnea Ioan Cezar Ciocîrlan; Carmine Marcone (Journal of Plant Diseases and Protection, 2026)
Severe decline symptoms (reaching 60–80% disease incidence) were recently observed on strawberry plants from organic cultivation in Southern Italy, raising a great concern among growers. Root symptomatic samples from two strawberry fields (Eboli and Caserta) were investigated, and different fungi were isolated. A total of 47 pure fungal cultures were chosen and further characterized. Using classical isolation approaches combined with multi-locus phylogeny based on sequences of two barcodes (ITS and tub2 ), a complex fungal community associated with strawberry decline was revealed. Within this community, Neopestalotiopsis species [63% and 55% relative abundance (RA)] and Dactylonectria torresensis (13% RA) were mostly isolated, indicating that these can have a critical role in the observed decline symptoms in fields. Other fungi, such as Plectosphaerella plurivora , Globisporangium selvaticum , Chaetomium subglobosum , Acremonium sclerotigenum , Geotrichum sp., Neofusicoccum parvum , and Gnomoniopsis fragariae , were less frequently isolated. Furthermore, some very common strawberry pathogens like Macrophomina phaseolina , Rhizoctonia solani , Fusarium oxysporum , Colletotrichum acutatum , Botrytis cinerea , Alternaria alternata , Biscogniauxia numularia , Mucor hiemalis , and Penicillium brevicopactum were only sporadically isolated, suggesting that they did not play any key part in the observed strawberry decline syndrome in the Campania region. Some other non-root-pathogenic fungi, including Clonostachys rosea , Aureobasidium pullulans , Linnemannia sp., and Bjerkandera adusta , were also found and could be further evaluated for their biocontrol potential against strawberry diseases or as plant growth promoters. Results from this study about the fungal community of strawberries affected by decline provided a foundation for upcoming studies on the assessment of organically cultivated strawberries health status aiming to develop efficient disease management strategies.

Circ_0070190 suppresses the malignant progression of cervical cancer by sponging miR-587 - Mingxia Lu; Yang Fan; Sanying Guo; Lei Yao (Journal of Molecular Histology, 2026)

Targeting ferroptosis and oxidative stress crosstalk: a new frontier in stroke neuroprotection - Wasim Akhtar; Mohd Muazzam Khan; Sanjay Kumar; Mohammed Tarique; Mohd Khalid Raza; Sarita Maurya; Usama Ahmad (Journal of Molecular Histology, 2026)

Parthenolide attenuates sepsis-associated coagulopathy by suppressing NR3C2 in endothelial cells - Min Wang; Yinzhu Xiao; Xiangyang Mo; Bihui Song; Lipu Deng (Journal of Molecular Histology, 2026)

GLSP ameliorates monocrotaline-induced pulmonary arterial hypertension through inhibition of the PI3K/AKT and MAPK signaling pathways - Yingying Wei; Siying Zuo; Na Deng; Haijun Guo; Liwei You; Yaping Zuo; Yan Wu; Zhangrong Chen; Wei Li; Xiaoyun Si (Journal of Molecular Histology, 2026)

Potential regulation mechanism of lncRNA OIP5-AS1 influencing prognosis in acute myeloid leukemia patients via the miR-15a-5p/FOXO1 axis - Qiuhui Sun; Min Liang; Tingting You (Journal of Molecular Histology, 2026)

Immunohistochemical expression of JAK2, STAT3, POLH, UBE2T, and REV7 in serous ovarian carcinoma: clinicopathological associations and co-expression patterns - Mayada Saad Farrag; Rokia Masoud; Mohamed S. Hemeda; Ziad Emarah; Khaled El Naghy; Khaled Abdelwahab; Nesrine Saad Farrag; Afaf Taha Ibrahiem; Ziad Ehab; Waleed Elsayed Elrefaie; Ahmed Elalfy; Mohamed K. Hassan (Journal of Molecular Histology, 2026)

GATA1 knockdown enhances CD8+ T cell responses and protects against immune escape in cervical squamous cell carcinoma through FGL1 downregulation - Juan Zhou; Fang Liu; Tingting Gao; Ying Yang (Journal of Molecular Histology, 2026)

Neuroprotective effects of myricetin against rotenone-ınduced parkinsonian neurotoxicity: a multidimensional analysis in rats - Onural Ozhan; Zehranur Erikci; Azibe Yildiz; Feyzi Dogru; Zeynep Kucukakcali; Hakan Parlakpinar (Journal of Molecular Histology, 2026)

Inhibition of RBM25 preserves cardiac mitochondrial homeostasis and attenuates ischemic heart failure - Shu Liu; Hong Ding; Kejuan Li; Xiaowei Zhang (Journal of Molecular Histology, 2026)

Retraction Note: The ameliorative effects of cinnamon oil against ethanol‑induced gastric ulcer in rats by regulating oxidative stress and promoting angiogenesis - Samraa Hussein Abdel‑Kawi; Khalid Shaaban Hashem; Marina Kamel Saad; Gaber Fekry; Eman Mohammed Mohammed Abdel‑Hameed (Journal of Molecular Histology, 2026)

Are restricted habitat use and extremely low dispersal ability drivers of the decline of the endangered diving beetle Cybister lewisianus? - Taichi Fukuoka; Munehiko Sato; Eishi Matsui; Shin-ya Ohba (Journal of Insect Conservation, 2026)

Low-intensity pasture management sustain dung beetle taxonomic and functional diversity in Cerrado/Caatinga transition zones - Rafaella Maciel; Raquel L. Carvalho; Luciana B. Silva; Julio Louzada (Journal of Insect Conservation, 2026)
Increasing grazing pressure for food production is a major challenge for biodiversity conservation in tropical dryland, particularly in ecologically complex transition zones that harbor substantial global biodiversity. Despite their high conservation value, the effects of grazing management on biodiversity in drylands remain poorly understood. We investigated how land-use intensity and local environmental metrics influence both taxonomic and functional diversity of dung beetles in native habitats and pastures under contrasting management intensities within a Cerrado–Caatinga transition zone in Brazil. Species richness was significantly higher in native areas and low-intensity pastures than in high-intensity pastures. Vegetation heterogeneity negatively affected the abundance of small- and medium-sized dung beetles in native areas and high-intensity pastures, while exerting positive effects in low-intensity pastures. Soil sand content showed contrasting effects on functional richness, increasing it in low-intensity pastures but reducing it in high-intensity pastures. Although dung beetle species composition differed among land-use types, low-intensity pastures shared a substantially greater number of species with native habitats than high-intensity pastures. Implications for insect conservation Our results demonstrate that low-intensity pasture management sustains both taxonomic and functional diversity of dung beetles and enhances habitat permeability for species originating from native environments. Promoting less intensive grazing practices in dryland transition regions can therefore represent an effective strategy to reconcile livestock production with insect conservation and the maintenance of key ecosystem services.

Observations, genetic analysis, and conservation status of Papilio alexanor Esper, 1799 (Lepidoptera, Papilionidae) in southern Italy - Valentina Todisco; Vazrick Nazari; Leonardo Dapporto; Maurizio Bollino (Journal of Insect Conservation, 2026)
Papilio alexanor exhibits a disjunct distribution across the western Palearctic. Records of this species from southern Italy have been rare and sporadic, leading to suggestions that these individuals might be strays originating from the Balkans or Greece. In this study, we provide an updated list of observations of P. alexanor in southern Italy, including records of ovipositing females and early larval instars, as well as DNA sequences from the COI barcode of five specimens from Monte Pollino (Calabria) and Cilento (Campania), to investigate the origin of these southern Italian populations. Our findings support the hypothesis that P. alexanor is native to southern Italy, with three unique COI haplotypes differing by a single nucleotide from populations in Greece (Lesbos) and the Balkans. We discuss these results in the context of the species’ biogeography and conservation. Implications for insect conservation The populations of P. alexanor in southern Italy are small, currently not recognized as native, and partially distributed outside of protected areas. We propose a revision of the conservation status of this species in Italy and highlight the need to invest on locating and safeguarding potentially stable populations in southern Italy.

Combined Salinity–Flooding Stress Reveals Wide Phenotypic Variation and Candidate Genomic Loci Associated With Survival in Rice at the Tillering Stage - Nhung Thi Hong Phan; Loc Van Nguyen; Hanh Thi Tang; Ngoc Thi Minh Tran; Hoai Thi Thu Tran; Long Viet Nguyen; Cuong Van Pham (Journal of Crop Health, 2026)

Tiny Foes with Big Consequences: a Systematic Review of Potato Responses to Meloidogyne Spp. - Ndivhuwo Ramatsitsi; Alen Manyevere (Journal of Crop Health, 2026)
Root-knot nematodes ( Meloidogyne spp.) represent a major constraint to global potato ( Solanum tuberosum L.) production, yet species-specific impacts and host response patterns remain fragmented across studies. This systematic review synthesised primary experimental evidence (1967–2025) to evaluate (i) Meloidogyne species infecting potato, (ii) cultivar-specific susceptibility and resistance expression, (iii) inoculum density-damage relationships, and (iv) mechanistic determinants of host response. Following PRISMA guidelines, 42 peer-reviewed studies were included in the qualitative synthesis. Results demonstrate clear geographic and species-specific risk profiles. Meloidogyne incognita and M. javanica dominate in warmer production systems and are primarily associated with growth suppression and yield reduction. In contrast, temperate systems are increasingly impacted by M. chitwoodi, M. fallax, M. hapla , and emerging species such as M. luci and M. minor , which frequently compromise tuber quality through internal necrosis and deformation. Across studies, damage was strongly inoculum density-dependent, with relatively low initial population densities capable of reducing marketable yield. Importantly, root gall severity did not consistently predict tuber infestation, indicating tissue-specific resistance expression. Evidence further shows that cultivars may sustain canopy growth while permitting nematode reproduction, thereby facilitating population build-up despite delayed yield loss. The findings support a recalibration of economic threshold levels toward tuber marketability metrics rather than vegetative indicators alone. Resistance in potato is multidimensional, species-dependent, and often tissue-specific, highlighting the need for regionally stratified breeding strategies and density-aware integrated management frameworks.

Environmental Persistence, Genomics, Pathogenesis and Diagnostic Challenges of Ralstonia Solanacearum: Implications for Disease Management - Linh. T. T. Le; Tuong Vinh To (Journal of Crop Health, 2026)

Erratum to: Integrated Agro-Pathological and Molecular Assessment of Selected Local and Introduced Rice Genotypes for Blast Resistance Under Field and Controlled Conditions in Egypt - Abdel-Hamid A. Ali; Rokia Abd-elkader; Moamen M. Abou El-Enin; Walaa M. Essa; Atef M. Mohamed; Ahmed Shaaban; Amira El-Keredy (Journal of Crop Health, 2026)

Occurrence and Genetic Diversity of Celery Mosaic Virus (CeMV, Potyvirus apiumtessellati) Isolates from Türkiye - Ali Karanfil; Savaş Korkmaz; Kazusato Ohshima; Filiz Randa-Zelyüt (Journal of Crop Health, 2026)

Nanocarrier-Enabled RNAi Delivery Systems: Emerging Tools for Plant Resilience and Sustainable Crop Protection - Sarmistha Ray; Debangana Chakrabarti; Madhura Das; Surekha Kundu (Journal of Crop Health, 2026)

Genome-Wide Characterization and Reproductive Tissue-Specific Heat-Responsive Expression Analysis of the HSP90 Gene Family in Common Bean (Phaseolus Vulgaris L.) - Bayram Ali Yerlikaya; Batuhan Gül; Seher Yerlikaya (Journal of Crop Health, 2026)

Hybrid CNN–Transformer Model for Maize Leaf Blight Classification Using Adaptive Genetic Optimization - Akhilesh Kumar; Ashish Kumar Pandey; Lokendra Singh Umrao (Journal of Crop Health, 2026)

Assessment of major threats to mangrove ecosystems: a review - Karthika Surendran; Binu Thomas (Journal of Coastal Conservation, 2026)

Regeneration of Polluted Urban Landscape Through Post-industrial Site Museum Design - Behrang Bahrami; Firoozeh Agha Ebrahimi Samani; Sedigheh Nasirzadeh (International Journal of Environmental Research, 2026)

Genetic diversity and population structure in a common bean panel including Turkish landraces revealed by DAMD/URP markers: implications for germplasm conservation and breeding - Serap Doğan (Genetic Resources and Crop Evolution, 2026)

Structure and dynamics of Lebanese ancient versus modern olive germplasm - Amira Youssef; Lamis Chalak; Milad El Riachy; Ahmed El Bakkali; Christine Tollon-Cordet; Joe Merheb; Bouchaib Khadari (Genetic Resources and Crop Evolution, 2026)

The first complete chloroplast genome of Peruvian “chila” identified as Solanum lasiocarpum: comparative plastomics and phylogenomic insights - Pedro M. Rodriguez-Grados; Angel David Hernández-Amasifuen; Raul Vargas; Carlos I. Arbizu (Genetic Resources and Crop Evolution, 2026)

Citrus indica Yu. Tanaka. An endangered primitive species: a comprehensive review on its medicinal importance, indigenous knowledge and conservation - Gargy Kashyap; Arun Karnwal; Shivika Sharma; Vikas Sharma (Genetic Resources and Crop Evolution, 2026)

Mapping quantitative trait loci (QTLs) for plant architecture traits using a high-density genetic linkage map in diploid potato (Solanum chacoense) - Tingyu Yin; Mengxin Ma; Min Yang; Mengting Ai; Juan Feng; Xiangyao Xiao; Fang Zhao; Canhui Li; Jing Yang (Genetic Resources and Crop Evolution, 2026)

Population structure analysis and construction of DNA fingerprinting in eggplant (Solanum melongena L.) based on whole-genome resequencing - Ruining Lai; Chuan Zhong; Jiechun Peng; Kongxiu Su; Duoduo Xiao; Bingying Zou; Meimei Shi; Jingjing Huang; Huarong Fang; Jinling He; Xinyuan Chen; Junwei Zhang; et al. (Genetic Resources and Crop Evolution, 2026)

Not always positive: tactile body stimulation does not lower aggressiveness and increases stress in the Siamese fighting fish - Ana Carolina dos Santos Gauy; Sarah Garcia Prado; Bianca Cambiaghi e Silva; Manuel Gesto; Marta Candeias Soares; Eliane Gonçalves-de-Freitas (Fish Physiology and Biochemistry, 2026)
Artificial body tactile stimulation (TS) has been shown to improve fish welfare by reducing aggressive behavior and stress, thereby serving as a sensory enrichment. Here, we tested the effect of TS on aggressive behavior and stress response in the Siamese fighting fish ( Betta splendens ), an ornamental species reared worldwide and renowned for its high aggressiveness. Twenty isolated male fish were exposed either to TS (provided by a frame with vertical plastic sticks lined with silicone bristles, inserted in the middle of the tank) or to a control treatment (sticks without bristles) for 22 days. Individual aggressive behavior was evaluated before and after the treatment period using mirror tests and staged pair fights. We measured cortisol, brain serotonin (5-HT), and dopamine (DA) to infer stress and possible associations with aggressiveness and the reward system. Although fish actively interacted with the bristles, TS did not alter overt physical fighting but significantly increased frontal and lateral displays. Furthermore, TS elevated cortisol levels, decreased 5-HT, and increased the 5-HIAA/5-HT turnover ratio. DA levels remained unchanged, indicating no activation of neural reward pathways. Contrary to our expectations, TS did not mitigate aggressiveness in this species but rather seemed to prompt an increase in both behavioral and physiological reactivity (cortisol levels and 5-HT activity) to fighting. Our findings indicate that artificial selection for high aggression in B. splendens may alter sensory processing to touch, causing physical contact to act as a stressor rather than an enrichment.

Dietary fish oil–corn oil balance modulates growth and metabolic homeostasis of Acrossocheilus fasciatus (Steindachner, 1892) under chronic heat stress - Yongyao Guo; Zhenzhu Wei; Zhangjie Chu; Bo Zhao (Fish Physiology and Biochemistry, 2026)

Assembly processes and ecological network patterns of multitrophic soil mite communities in karst primary forests - Qiang Wei; Yuanyuan Zhou; Yan Shen; Yifan Fei; Xiaoxi Lyu; Hua Xiao; Dayun Zhu; Hu Chen; Cai Cheng (Experimental and Applied Acarology, 2026)

Estimation of economic injury levels and action thresholds for the two-spotted spider mite, Tetranychus urticae Koch, on strawberry plants - Eman M. Abdelmaksoud; Shoukry A. El-Refai; Kadry W. Mahmoud; Walaa El-Sayed; Mohamed E. Ragab (Experimental and Applied Acarology, 2026)
Strawberry ( Fragaria × ananassa Duch.) is a high-value global crop, yet its productivity is severely constrained by the two-spotted spider mite, Tetranychus urticae Koch. Developing localized economic thresholds is a cornerstone of sustainable Integrated Pest Management (IPM) to mitigate yield losses and reduce acaricide reliance. This two-season field study (2019–2020) investigated the quantitative relationship between T. urticae population density and strawberry yield in Egypt. Using varying infestation levels established via Chitosan (Top9 0.1%) treatments, linear regression and Chi-square (χ 2 ) analyses were employed to determine four critical economic levels: General Equilibrium Position (GEP), Economic Threshold Level (ETL), Economic Injury Level (EIL), and Economic Damage Level (EDL). Results revealed a highly significant negative correlation between mite density and yield ( r = -0.96*** in 2019; r = -0.97*** in 2020), with an average yield reduction of 1.25% per mite. The estimated EIL and ETL were 4.0 mites/leaf in 2019 and 3.4 mites/leaf in 2020. These findings provide a precise decision-making framework for mite management in Mediterranean strawberry production. The low estimated thresholds suggest that proactive, preventive management strategies are more effective than reactive control to maintain strawberry yield.

When the hive speaks: detecting Varroa destructor infestation in honey bees through acoustic biomarkers and machine learning - Berkant İsmail Yıldız; Kemal Karabağ (Experimental and Applied Acarology, 2026)

Genotypic detection of synthetic pyrethroid and organophosphate resistance-associated mutations in Rhipicephalus (Boophilus) microplus infesting ruminants across three agro-ecological zones in Pakistan - Sidra Saher; Muhammad Hassan Mushtaq; Muhammad Ijaz; Abdul Rehman (Experimental and Applied Acarology, 2026)

More nuts, more squirrels, more damage? The covariation of beech (Fagus sylvatica) masting with grey squirrel (Sciurus carolinensis) abundance, and bark stripping damage, in the UK - Eleanor R. Scopes; Robin Gill; Cally Ham (European Journal of Wildlife Research, 2026)
Grey squirrels ( Sciurus carolinensis ) are an invasive non-native species in the UK which can strip bark from trees, detrimentally impacting biodiversity and forestry. Extensive control measures are undertaken to reduce grey squirrel populations each year; however, it is unclear if abundance influences the extent of damage. Predicting changes in abundance could be an important technique to increase the efficacy of control measures. We explore whether climate-based predictors of beech ( Fagus sylvatica ) masting, covary with an abundance index of grey squirrels. We find predicted masting years covary with the abundance of grey squirrels at all sites and those in broadleaf woodland the following year. We also find that predicted masting years covary with squirrel abundance at beech dominated sites in the same year as masting. These inconsistent patterns may be due to the limitations with the proxies used this analysis, but indicate potential hypotheses for future studies. We also investigate whether grey squirrel abundance index covaries with the prevalence of accumulated bark stripping damage with inconclusive results. More research is needed to identify the drivers of bark stripping to identify new preventative measures. Our exploratory results suggest potential influences of beech masting on grey squirrel abundance, although more research is needed before this could be used within management.

Anthropogenic pressure and gastrointestinal immunopathology in wild boar (Sus scrofa) at a human–wildlife interface in Iran - Peyman Mohammadzadeh; Amin Pilvaieh; Farshad Ziaee; Arshia Dousti; Mohammad Reza Salim Bahrami (European Journal of Wildlife Research, 2026)

Genetic and morphological variation in taxonomically critical populations of Quercus petraea s.l. in Southern Europe - Romeo Di Pietro; Elisa Proietti; Piera Di Marzio; Amara Noor Hussain; Katharina Birgit Budde; Kryštof Chytrý; Leonardo Filesi; Oliver Gailing; Lorenzo Gianguzzi; Duilio Iamonico; Nevena Kuzmanović; Dmitar Lakušić; et al. (European Journal of Forest Research, 2026)
This study investigated the genetic and morphological variability of critical populations of Quercus petraea s.l. in southern Europe considering taxonomic and biogeographical issues. Ten EST-SSR markers were applied on sixteen populations of Q. petraea s.l., including Q. petraea subsp. petraea , Q. petraea subsp. austrotyrrhenica , Q. dalechampii auct non Ten, and Q. banatus , to assess genetic variation within and among populations using specific indices. Genetic structure was analysed using Bayesian clustering. Eight populations of potentially interfertile white oaks such as Q. pubescens (5) and Q. robur (3) were included in the overall dataset (24 populations) for comparison. Multivariate analysis procedures were applied to analyse genetic relationships among populations. The morphological variability of oak individuals was assessed only on the Q. petraea s.l. populations based on traits observed in leaves, twigs, and acorns. The patterns of covariation between morphological traits, taxonomic identity, and the geographical distribution of sessile oak populations were also investigated. The analysis on the overall dataset revealed four main genetic clusters for Q. petraea s.l.: one of possible ancestral origin, one occurring mainly in the Balkans, one spread across southern Italy, and one distributed primarly in western and central Europe. From a morphometric perspective, only a few leaf morphological traits exhibited variation trends correlated with the genetic structure pattern. Considerable overlap was found among populations within the Q. petraea collective group from both the genetic and morphological side. The variability observed was insufficient to distinguish species other than Q. petraea (Matt.) Liebl. (i.e. Q. dalechampii auct. non Ten., Q. banatus Kučera). However, all Q. petraea s.l. populations were found to be clearly distinguishable from the Q. robur subsp. robur and Q. pubescens subsp. pubescens populations included in the dataset as outgroups.

Close-to-nature management alters litterfall production and nutrient return in Chinese fir (Cunninghamia lanceolata) plantations across Southern China - Shu-meng Wei; Xiang-teng Chen; Ru-zhen Jiao; Xiong-qing Zhang; Yu-hong Dong (European Journal of Forest Research, 2026)

Impacts of forest type conversion on forest biomass and soil organic carbon: a meta-analysis - Qun Lin; Yiqi Huang; Guomo Zhou; Peng Zhou; Guangsheng Chen (European Journal of Forest Research, 2026)

Emerging phytotherapeutic strategies for protecting male reproductive health against environmental stressors - Dhekra Grami; Luca De Toni; Hichem Sebai (Euro-Mediterranean Journal for Environmental Integration, 2026)

Litho-tectonic and geomorphological controls on the hydrogeochemistry of selected springs in the upstream Nekor watershed, northern Morocco - Jamal Abbach; Soukayna Banzakour; Wafae Abbach; Said El Moussaoui; Hajar El Talibi; Fouad Mourabit (Euro-Mediterranean Journal for Environmental Integration, 2026)

Digging for answers: a narrative review unearthing ground pollution and child development - Linda S. Pagani; Kianoush Harandian; Stéfanie Routhier-Guilmette; Pierrich Plusquellec; Mohamed Ksibi (Euro-Mediterranean Journal for Environmental Integration, 2026)

Heterogeneous impacts of climate, technology, and energy shocks on agricultural productivity in the United States: evidence from wavelet QQ regression - Mumtaz Ali; Muhammad Adeel (Euro-Mediterranean Journal for Environmental Integration, 2026)

Assessment of the impact of treated wastewater discharge on the water quality of drainage systems in Egypt’s eastern Nile delta - M. M. Ibrahim; Aiman El Saadi; E. Sh. Muhammad; Abeer Samy (Euro-Mediterranean Journal for Environmental Integration, 2026)

Liposome-encapsulated camel skin gelatin hydrolysates as anti-obesity agents: in vitro and in vivo studies - Manel Djebbi; Soumaya Wahabi; Ola Abdelhedi; Leticia Mora; Nacim Zouari; Fidel Toldrá; Mourad Jridi (Euro-Mediterranean Journal for Environmental Integration, 2026)

ANSWERS-2000 input enhancement for water erosion modeling via GEE LULC dynamics: A case study of M’richet El Anze watershed, Siliana, Tunisia - Nour El Houda Boughattas; Safa Gammoudi; Roua Amami; Mohamed Saber Naceur (Euro-Mediterranean Journal for Environmental Integration, 2026)

Attitudes toward a flagship caprid, the endangered Cretan agrimi - Vasilios Liordos; Georgios Aggelioudakis; Vasileios J. Kontsiotis (Euro-Mediterranean Journal for Environmental Integration, 2026)
The agrimi ( Capra aegagrus cretica ), endemic to Crete, Greece, is threatened by illegal hunting and hybridization with domestic goats. Wildlife conservation cannot succeed without incorporating human dimensions into management plans. Therefore, we surveyed the attitudes and emotions of 301 Cretans toward the agrimi using face-to-face interviews. Most participants (64.1–98.3%) viewed the agrimi as important and worthy of protection (high conservation attitude) and accepted management strategies, including controlling illegal hunting (93.0%) and reintroduction (74.1%) (high management attitude). In contrast, most participants (59.5–75.4%) did not want agrimi kept in zoos, farmed, or hunted (low utilization attitude). Most participants found the agrimi attractive (82.1%) and were not afraid of it (72.8%). Structural equation modeling showed significant relationships ( p β = 0.431), while utilization was negatively associated with management ( β = −0.078). Farmers had higher utilization ( β = 0.129) but lower management attitudes ( β = −0.127) than nonfarmers. Rural residents had higher utilization ( β = 0.153) and lower conservation attitudes ( β = −0.185) than urban residents. Consumptive recreationists supported conservation ( β = 0.129) and utilization ( β = 0.116), whereas nonconsumptive recreationists supported conservation ( β = 0.156) and management ( β = 0.195) but not utilization ( β = −0.121). Females showed higher conservation attitudes ( β = 0.119) and lower utilization attitudes ( β = −0.150) than males. Older participants focused more on utilization ( β = 0.139) and less on management ( β = −0.118) and conservation ( β = −0.089) than younger participants. Participants who considered the agrimi attractive held positive conservation ( β = 0.536) and management ( β = 0.378) attitudes and negative utilization attitudes ( β = −0.231). Findings could be integrated into environmental policies and strategies to promote the well-being of the agrimi and the interdependent social and natural systems.

Multifunctional bioactivities of Phyllanthus emblica L. fruit extracts: linking phytochemical profiling to antileishmanial, antioxidant and antibacterial effects in vitro and in vivo - Zeyad Taha Hussein; Samar Derbali; Omaima Ibrahim Mahmood; Mohamed Trigui (Euro-Mediterranean Journal for Environmental Integration, 2026)

Intrusion dynamics of descending particle-laden plumes in stratified ambient: the roles of fluid buoyancy fraction and source momentum - Li Zhang; Yan Zhang; Xu-Hui Zhang; Ji-Yan Qiao; Yin-Rui Zhang; Xiao-Bing Lu (Environmental Fluid Mechanics, 2026)

Diverse Impacts of Urbanization on Vegetation Growth and Its Driving Factors in Ten Global Megacities - Jiaomin Liao; Fan Fan; Zhenzhen Pan; Wenxi Tang; Shuguang Liu (Ecosystems, 2026)

In Situ Evidence for Quantitative Nitrogen Fixation in a Temperate Perennial Grass Ecosystem - Sarah S. Roley; Carmella Vizza; Kevin Kahmark; Sean J. L. Murphy; Daniel H. Buckley; G. Philip Robertson (Ecosystems, 2026)
Biological nitrogen (N) fixation is an important terrestrial ecosystem N input that occurs in both symbiotic and non-symbiotic associations with plants. Non-symbiotic nitrogen fixation (NSNF) has been documented in many places, including soils, but the magnitude of its inputs, along with drivers of NSNF rates, remains uncertain due to methodological challenges. We measured NSNF by applying a 15 N 2 tracer to field mesocosms that contained a reassembled soil profile (75 cm deep) with mature switchgrass ( Panicum virgatum ) at a site in southwest Michigan, USA. We measured NSNF both early and mid-growing season. We found fixed N throughout the entire soil profile, but fixed N declined with depth as did the soil C:N ratio. During the early growing season, most recently fixed N accumulated in the roots, but in the later incubation, fixed N accumulated equally in roots and in aboveground tissues. Annually scaled NSNF rates agreed with those from mass balance within an order of magnitude. Based on our mesocosm measurements and mass balance calculations, we estimate that NSNF inputs to switchgrass at our study site were 2–12 kg N ha −1 yr −1 , which represented 27–68% of annual plant N needs.

Nitrogen and Phosphorus Availability Mediates the Effects of Bottom-Up Limitation on Orb-Weaver Spider Traits in an Amazonian Rainforest - Alexander Gaione-Costa; Raffaello Di Ponzio; Carlos A. Quesada; Iain P. Hartley; Thiago Gechel Kloss (Ecosystems, 2026)
Nutrient availability is a key driver of terrestrial ecosystem functioning and food web structure. In central Amazonian forests, phosphorus (P) and cations (Ca 2+ , Mg 2+ , K + ) are significant constraints for plants, potentially constraining the propagation of nutrients across trophic levels. Because predator life-history traits can be strongly linked to nutrient demands, these limitations may affect predators across trophic webs, although this mechanism remains poorly investigated in terrestrial ecosystems. To address this gap, we tested whether alleviating nutrient limitation affects predator traits using the Amazon Fertilisation Experiment (AFEX), a large-scale factorial manipulation of P, cations, and the less-limiting nutrient nitrogen (N), established in 2017. To evaluate consumer responses, we sampled two abundant understory orb-weaving spiders, Spilasma duodecimguttata and Hingstepeira folisecens , quantifying body size and fat reserves as indicators of growth and nutritional condition. We observed that individuals of S. duodecimguttata were smaller in N-only plots but, conversely, larger in plots with added N and P. In contrast, H. folisecens body size was unaffected, and fat mass did not differ in either species. These divergent responses likely reflect differences in foraging strategy and microhabitat use : S. duodecimguttata builds low-cost horizontal webs near the ground, where prey communities may be more directly influenced by soil nutrient dynamics, whereas H. folisecens forages higher above the ground, likely experiencing fewer direct effects of nutrient addition on prey. Our results indicate that, beyond nutrient limitation, N and P nutritional imbalances in tropical forests can trigger species-specific responses in life-history traits, with potential implications across food web dynamics.

Long-Term Reindeer Exclusion Leads to Higher Carbon Storage and Less Recalcitrant Carbon Compounds in Boreal Forest Soils - Femke Pijcke; Josua Seitz; Sari Stark; Agnes Alriksson; Daniel B. Metcalfe; Pasi Rautio; Tobias Sparrman; Risto Virtanen; Johan Olofsson (Ecosystems, 2026)
Dry and unproductive Scots pine forests in the northern boreal forest zone provide conditions where ground-dwelling lichens can thrive. These lichens are a crucial winter forage for reindeer. Reindeer reduce lichen biomass both by consumption and trampling, leading to cascading effects on microclimate, litter inputs, and soil carbon dynamics. To investigate long-term impacts of reindeer exclusion, we assessed the plant biomass, soil nutrients, and soil organic carbon (SOC) quantity and quality in three dry pine forest sites in northern Finland, where reindeer have been excluded for over 50 years. Within exclosures, lichen biomass was 4.5 times higher and dwarf shrub biomass nearly doubled compared to grazed controls. These vegetation changes were associated with a 33% higher soil moisture and 0.8 °C lower summer soil temperatures at 10 cm depth beneath the thicker lichen mats. The organic layer SOC stock was 28% higher in exclosures. Spectroscopic analysis using 13 C NMR spectroscopy revealed 9.5% higher O-alkyl carbon (carbohydrates) content and lower methoxy (−5.1%), alkyl (−6.9%), and carbonyl (−8.7%) content, reflecting a younger, more labile carbon pool in the exclosures. Despite these changes, soil nutrient concentrations and C:N ratios remained unchanged between treatments, suggesting that altered SOC storage and composition result primarily from increased litter inputs and microclimatic changes. We conclude that in lichen-rich boreal forests, long-term reindeer exclusion enhances SOC stocks and promotes a shift toward more decomposable soil organic matter, with potential implications for carbon stability under changing grazing regimes.

Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies - Asiya Mushtaq; Maliha Gulzar; Syedah Asma Andrabi; Priyanka Syal (Current Microbiology, 2026)

Novel Bacterial Consortia (BC6) Formulations Enhance Tomato Growth, Fruit Quality, and Metabolite Profile: Comparative Performance Under Multi-Stage Application - Dhananjaya Pratap Singh; Sudarshan Maurya; Lovkush Satnami; Ratna Prabha; Renu; Anurag Chaurasia; Nagendra Rai (Current Microbiology, 2026)

The Effects of Exogenous Glutathione on β-lactam Susceptibility in New Delhi Metallo-β-Lactamase (NDM-1) Producing Klebsiella pneumoniae - Dong H. Kwon; Sophia Fu; Su-Hwan Kwak (Current Microbiology, 2026)

Comprehensive Genomic Analysis of the pO157 Plasmid in Enterohemorrhagic Escherichia coli O157:H7 Reveals Non-synonymous Variation in Virulence Factors - Libia Yael Smith; Pablo Daniel Farace; Julia Sabio y García; Daniel Vilte; Nahuel Riviere; Mariano Larzábal; Angel Cataldi; Wanderson Marques Da Silva (Current Microbiology, 2026)

Bbsmf1, an Nramp Family Transporter, Sustains Iron Homeostasis Through Cross Pathway Compensation in Beauveria bassiana - Mei Liu; Dan Ye; Guang Xia; Wenhui Yin; Shenghua Ying; Mingguang Feng; Jinli Ding; Min Lu (Current Microbiology, 2026)

Detection of Natural Killer and Natural Killer T Cells Responses among Patients with Chronic Hepatitis C Infections in Sana’a City-Yemen - Ahmed M. Abdulkareem; Basheer A. Al-Ofairi; Mansour Ali Al-Amrani; Marwan K. Saeed; Majed A. Al-Jahrani; Wadhah Hassan Edrees; Shiburaj Sugathan; Ansam Wadia Al-shameri; Ammar AL-Farga (Current Microbiology, 2026)

Treatment with Roseburia intestinalis Relieves Symptoms of Chronic Kidney Disease (CKD) by Altering the Gut Microbiota and Increasing the Levels of Fecal SCFAs in Adriamycin-Induced CKD Rats - Jinna Xiao; Zhengqi Zha; Zhengzheng Liao; Zhentao Li (Current Microbiology, 2026)

Unveiling the Viral Landscape in Gastric Cancer - Diego Pereira; Fabiano Cordeiro Moreira; Daniel de Souza Avelar; Sérgio Augusto Antunes Ramos; Valéria Cristiane Santos da Silva; Jéssica Manoelli Costa da Silva; Ronald Matheus da Silva Mourão; Rubem Ferreira da Silva; Kauê Sant’Ana Pereira Guimarães; Juliana Barreto Albuquerque Pinto; Marcos da Conceição; Williams Fernandes Barra; et al. (Current Microbiology, 2026)
The present study aimed to comprehensively characterize the cancer-associated virome in patients with gastric cancer. A total of 452 samples were analyzed, including 226 tumor tissues and 202 peritumoral tissues from patients undergoing surgical resection, alongside 24 normal gastric mucosa samples obtained via endoscopy from individuals without cancer. RNA was extracted, libraries were prepared, and paired-end sequencing was performed on the NextSeq 500 platform (Illumina, US). High-quality reads were processed with Kraken2, using the standard database supplemented with the Reference Viral Database, to identify viral taxa. Taxonomic profiles, differential viral abundance, and alpha and beta diversity metrics were computed in RStudio, with statistical analyses performed to compare viral composition and diversity among tissue groups using Kruskal-Wallis, Wilcoxon, PERMANOVA, and PERMDISP tests ( p

Genomic Characterization of a Rare Methicillin-Susceptible Staphylococcus aureus ST72 Isolate Co-Harboring Panton-Valentine Leukocidin and Toxic Shock Syndrome Toxin-1 Encoding Genes from Northern Vietnam - Doai Van Nguyen; Hoai-Linh Thi Nguyen; Anh-Van Pham; Thuy Thi Pham; Alexander Katyshev; Andrey Fedorov; Lan-Anh Thi Le (Current Microbiology, 2026)

Human-mediated domestic translocation disrupts regional phylogeographic structure of the Genji firefly (Nipponoluciola cruciata) in urban Tokyo - Hirobumi Suzuki; Sakutaro Yamagishi; Takehiko Kamito; Dai-ichiro Kato; Yukio Nagano; Aki Yanagawa (Conservation Genetics, 2026)

Unveiling the subsurface fault complexities using a convolutional network: a study from the Upper Assam foreland basin, NE India - Jitender Kumar; Kalachand Sain (Computational Geosciences, 2026)

Data-driven gas-oil ratio triggered rules for reactive multi-zone intelligent well management - Sérgio Ferreira Batista Filho; Antonio Alberto S. Santos; João Roberto Bertini Junior (Computational Geosciences, 2026)
Effective oil reservoir management aims to maximize profit by navigating operational, technological, economic, and regulatory constraints. This management is inherently linked with production infrastructure and spans the entire reservoir life cycle — from exploration and production to revitalization. To streamline reservoir studies, the infrastructure is mapped into project variables (PV), control variables (CV), and revitalization variables (RV). Currently, short-term decisions in the management of oil and gas capture valves, or fluid injection, are often made without a formal procedure, which can lead to suboptimal production. Leveraging historical production data for future decision-making can support more effective management. This study introduces a data mining-based methodology to derive control rules for managing CV. Data simulated from a reservoir model, representing actual reservoir conditions, was utilized for development. Experiments were conducted both to validate the control rules obtained by the proposed methodology, using a numerical simulator, and to evaluate the performance of the rules when applied to the management of control variables. The simulation results indicated that the control rules derived from the proposed methodology enhanced the economic production indicator for one-third of the evaluated wells. It is noteworthy that the initial set of rules, generated by the simulator, was already the result of a search and optimization process. Furthermore, the application of these rules to well control management proved effective across all tested wells. Comparisons with classical optimization methods further indicate that the proposed approach delivers the most consistent performance across wells. The results reported in this work provide evidence in favor of the proposed methodology and can be considered an initial step towards generating computationally efficient and interpretable control rules applicable in practice for short-term decision-making.

Inverse problem for the advection-diffusion-reaction equation with memory - A. Shakir; M.J. Huntul; A. Tursynkozha; M.K. Iqbal (Computational Geosciences, 2026)

Model of wellbore stability and parameter sensitivity analysis in fractured formations with consideration of drilling fluid invasion - Jiangshuai Wang; Bohan Zheng; Wenbao Zhai; Song Deng; Xiaopeng Yan (Computational Geosciences, 2026)

From Intent to Circular Economy Strategy Implementation in Manufacturing SMEs: A Moderated-Mediation Mixed-Methods Study - R. Purushothaman; R. Alamelu; Sathya Manickam; J. Leema Christina; I. Blessy Milca (Circular Economy and Sustainability, 2026)

The Influence of Strategic Alliances on the Adoption of Circular Economy Principles by Small-scale Enterprises in Onitsha Metropolis, Anambra State, Nigeria - Victor Chukwunweike Nwokocha (Circular Economy and Sustainability, 2026)

Integrating Resilience and Sustainability in Manufacturing: Enablers, Barriers, and Measurement Approaches - Cristian Rincón-Guio; Mariana Trujillo-Gallego; William Sarache (Circular Economy and Sustainability, 2026)
Resilience and sustainability (R&S) are critical capabilities, yet their integration remains poorly understood with fragmented theoretical perspectives and limited empirical evidence. This systematic literature review synthesises 65 empirical studies on R&S integration in manufacturing contexts and presents a structured multi-level framework. Through bibliometric mapping and qualitative content analysis we trace intellectual structure and extract integration mechanisms, enablers, and barriers. Results reveal four key findings: First, R&S demonstrate bidirectional causality, resilience enables sustainability while sustainability practices build resilience, challenging linear perspectives. Second, enablers operate across nine categories. Third, barriers represent paradoxical effects where traditional strengths become liabilities beyond optimal thresholds. Fourth, approximately 64% of R&S relationships operate indirectly through mediating mechanisms. The study contributes a multi-level taxonomy of integration mechanisms and a socio-technical framework capturing enabler-barrier interactions across organisational levels. Findings reflect synthesis of empirical evidence rather than primary empirical testing, and generalisability is bounded by the corpus' geographic and methodological composition. For practitioners, results offer actionable guidance for capability bundling, risk governance, and performance monitoring through circular economy practices and digital dashboards. We propose future research highlighting longitudinal causal inference, cross-level alignment, and social sustainability integration under disruption.

Correction to: Identifying and Overcoming Circular Economy Barriers in the Agriculture of Southwest Finland – a Gap Framework Approach - Antti Hynni; Jukka Käyhkö; Tuomas Kuhmonen (Circular Economy and Sustainability, 2026)

Circular Resource Recovery in Constructed Wetlands: Microbial Community Succession and Plant Microbe Synergy in the Treatment of Petroleum Refinery Wastewater - EK Akhiladas; Saswati Chakraborty (Circular Economy and Sustainability, 2026)

Next-Gen Dye Wastewater Treatment: A Review of Waste-Derived Bio-Adsorbents and AI Integration - Mahmoud F. Mubarak; M. M. Abdelhamid; Alaa Adel Abo Ella; Mohamed A. Ali; Ghada Kadry; Hazem I. Bendary (Circular Economy and Sustainability, 2026)

Recycled High-Density Polyethylene as a Sustainable Wood Alternative for Indoor Furniture - Mostafa Elkholy; Rawan K. Hassan; Margherita Emma Paola Pero; Irene S. Fahim (Circular Economy and Sustainability, 2026)

Circular Economy Transition in Brazil: The Power of Institutional Entrepreneurship of Local Governments - Marcone Ambrósio Trindade; Alair Ferreira de Freitas; Wellington Alves; Alan Ferreira de Freitas (Circular Economy and Sustainability, 2026)
In light of the socio-environmental challenges faced by cities and the climate threats intensified by the linear economic model, it has become increasingly urgent to understand how local governments can lead the transition to more sustainable urban models, such as the Circular Economy. This research analyzes the actions and policies adopted by local governments to promote this transition in major Brazilian cities. The municipalities of Salvador (BA) and São Paulo (SP) were investigated through a multiple-case study and cross-case synthesis. The results indicate that these governments may assume roles and mobilize mechanisms consistent with institutional entrepreneurship by performing five key roles: strategic direction, normative adaptation, capacity building and collaboration networks, support for innovation and circular businesses, and circular urban management. In this research, the findings reveal a predominance of coercive institutional pressures, with a lower presence of normative and mimetic mechanisms, which limits the broader institutional diffusion of circular practices. It is concluded that promoting the CE requires an integrated and multilevel approach that articulates planning, regulation, and stakeholder engagement, as well as the strengthening of institutional capacities and collaborative networks to expand urban transformation. The study contributes by showing that the role of local governments in circular transition depends not only on the existence of governmental initiatives, but on how strategic roles, governance arrangements, and institutional pressures are combined to induce change toward circularity.

NUDX gene family identification and its potential role in carotenoid biosynthesis of carrot - Shan-Shan Tan; Zheng-Tai Liu; Yi-Xin Zhang; Jian-Hua Zhou; Ya-Hui Wang; Zhi-Sheng Xu; Ai-Sheng Xiong (Biotechnology Letters, 2026)

Regulation of N-terminal cleavage and splicing in mini-Ter DnaE−3 intein by E23G and R50Q mutations - Xuhan Wei; Ying Lin (Biotechnology Letters, 2026)

When is health adequate for older adults? Optimal standards, patient-defined thresholds, and the weight of inequality - Daniel Hernández-Pando (Biogerontology, 2026)

Age-dependent physiological responses and longevity in three Drosophila species with contrasting lifespans exposed to low temperature and constant darkness - Mikhail V. Shaposhnikov; Liubov A. Koval; Nadezhda V. Zemskaya; Eugenia V. Schegoleva; Tatyana V. Babak; Ekaterina N. Proshkina; Denis A. Golubev; Natalya R. Pakshina; Natalia S. Timusheva; Elena Y. Platonova; Anastasia A. Gorbunova; Daria V. Mikhailova; et al. (Biogerontology, 2026)

The role of tendon and ligament vasculature in ageing and injury - Nodoka Iwasaki; Elizabeth J. T. Finding; Caroline P. D. Wheeler-Jones; Chavaunne T. Thorpe (Biogerontology, 2026)
Ageing is a fundamental biological process marked by declining physiological function and the accumulation of stress-induced damage. It contributes to chronic disease and drives widespread alterations across organ systems, including the vasculature. Ageing of the macro- and microvasculature impairs nutrient delivery, promotes tissue degeneration, and reduces repair capacity in many tissues, including those of the musculoskeletal system. Tendons and ligaments become increasingly injury-prone with age, yet the relationship between vascular ageing and tendon and ligament in health and disease remains insufficiently understood. This review critically examines the effects of vascular ageing on tendons and ligaments, including their interfaces with muscle and bone. Emerging evidence indicates that age-related vascular decline contributes to structural and functional impairments in these tissues, accelerating musculoskeletal deterioration. We also discuss therapeutic approaches targeting vascular dysfunction, including growth factor modulation through use of platelet-rich plasma, gene-based strategies, and stem cell therapies, which show potential for mitigating age-related deficits. By synthesizing existing knowledge, this review emphasizes the need for further research into vascular ageing and its implications for tendon and ligament health. A deeper understanding of these processes could inform the development of innovative therapies aimed at preserving vascular function and improving quality of life in the ageing population.

First report of Podosphaera xanthii causing powdery mildew on Vigna khandalensis in India - M. M. Bodhe; A. S. Patil; A. S. Kadam; D. D. Namdas; J. J. Chavan (Australasian Plant Pathology, 2026)

Spawning habitat selection and behavioural repeatability of stocked Walleye (Sander vitreus) in Hamilton Harbour - Paul A. Bzonek; Melanie V. Croft-White; David T. Reddick; Nicole A. Turner; M. Cole MacLeod; Steven J. Cooke; Jill L. Brooks; Caleb T. Hasler; Jonathan D. Midwood (Aquatic Sciences, 2026)

Ecology of the copepods in Ganges estuary of India - Sourav Paul (Aquatic Sciences, 2026)

Co-occurring Spirogyra sp. and enrofloxacin stressors interact to alter macrophyte interactions: evidence from a freshwater mesocosm experiment - Yuqing Tian; Cheng Lin; Xu Zhang; Hui Yang; Hongzhi Mao; Heyin Wang; Jiali Chen; Donghai Zhang; Jiangtao Hu; Xusheng Gong; Junyan Wu; Yuying Li; et al. (Aquatic Sciences, 2026)

SoilVisioNet: A Synergistic Approach to Fruit Quality Assessment Using Imagery, Weather Sequences, and Soil Chemical Parameters - Nutan V. Dolzake; Mrunal Bewoor (Applied Fruit Science, 2026)

Fruit Quality of Passiflora Cincinnata at Different Ripening Stages Under Irrigated and Rainfed Cultivation - Giuliana Naiara Barros Sales; Marília Hortência Batista Silva Rodrigues; Toshik Iarley da Silva; Rodolfo Rodrigo de Almeida Lacerda; Josélio dos Santos da Silva; Daniel da Conceição Almeida; Ana Clara Farias Siqueira; Walter Esfrain Pereira; Pahlevi Augusto de Souza; Genilson Lima Diniz; Saint Clair Lira Santos; Geovani Soares de Lima; et al. (Applied Fruit Science, 2026)

Enhancing Pistachio Fruit Set and Kernel Quality Through Artificial Pollination with Gibberellin and Brassinosteroid-Enriched Pollen - Sohile Aliabadi; Mehdi Rezaei (Applied Fruit Science, 2026)

Carbon stocks and yields in smallholder cocoa agroforestry systems along a climatic gradient in Ghana - Raphael Manu; Munir Hoffmann; Obed Alegyisu Manu; Winston Adams Asante; Reimund P. Rötter; Issaka Abdulai (Agroforestry Systems, 2026)
Cocoa agroforestry systems are recognized for their potential to reconcile agricultural production with climate change mitigation, yet the mechanisms governing carbon storage across environmental gradients remain poorly understood. Here, we examined above- and belowground carbon stocks of cocoa and shade trees as well as soil organic carbon (SOC) in smallholder cocoa agroforestry systems across dry, intermediate (mid), and wet climatic zones in Ghana. Despite pronounced differences in shade tree density, size, and species richness, shade-tree aboveground carbon stocks (108–147 Mg C ha −1 ) as well as total farm-level carbon stocks were comparable across the climatic gradient (from dry to wet), with no negative effect on cocoa yield, signifying trade-offs in the structural characteristics of shade trees driven by management. Cocoa tree carbon and SOC stocks varied across the climatic zones but individually contributed less to ecosystem carbon stocks. Cocoa tree carbon stocks were highest in the mid climatic zone (41 Mg C ha −1 ) compared to 22 Mg C ha −1 for the dry and 27 Mg C ha −1 for the wet zone, reflecting the older cocoa tree stands and larger stem diameters of the mid zone. SOC was lower in the dry zone than in the mid and wet zones, by 23 and 27%, respectively, and mirrored the combined effects of climatic conditions and soil properties. The ratio of cocoa yield to total plant carbon increased from the dry to wet climatic zone, indicating a shift in carbon allocation toward productivity under wetter climatic conditions. Our results highlight the capacity of cocoa agroforestry systems to provide climate-mitigation benefits independent of climatic variations but with greater synergies of achieving high cocoa productivity and ecosystem carbon storage under wetter climatic conditions. Overall, these findings underscore the need for climate-specific management strategies that optimizes both carbon sequestration and cocoa productivity in West African agroforestry systems.

Multifunctional Melientha suavis agroforestry systems and plant diversity on a managed forest farming in Thailand - Nittaya Mianmit; Phruet Racharak; Wirongrong Duangjai (Agroforestry Systems, 2026)

Evaluation of different crop systems of Vanilla planifolia by Totonac local producers in Papantla, Veracruz (Mexico) - Amanda Alejo-Viderique; María del Pilar Ortega-Larrocea; Marcelo Rojas-Oropeza; Alejandra Sánchez-Ramírez; Luis Eduardo Calderón-Uraga; Nathalie Cabirol (Agroforestry Systems, 2026)

Understanding the low uptake of agroforestry measures in Italy: evidence from CAP implementation and stakeholder perspectives - Rosa Rivieccio; Martina Agosta; Erica Mazza; Raoul Romano (Agroforestry Systems, 2026)

Intestinal Histomorphometric Alterations During Experimental Strongyloidiasis in Mice Treated with Rosmarinus officinalis Essential Oil - Lorena Q. A. Tanaka; Kamilla A. M. Dutra; Nicolas M. H. da Silva; Izadora M. Assis; Gabriela A. C. Duarte; João B. A. Souza; Eleuza R. Machado; Ana Paula S. Perez; Rosângela M. Rodrigues (Acta Parasitologica, 2026)
Purpose Strongyloidiasis is an intestinal helminthiasis that can induce structural alterations in the intestinal mucosa during infection. The present study evaluated histomorphometric alterations of the small intestine in mice experimentally infected with Strongyloides venezuelensis and treated with Rosmarinus officinalis essential oil. Methods Infected animals were treated orally with R. officinalis essential oil (200 or 400 mg/kg), ivermectin or control treatments. Histomorphometric parameters of the small intestine were evaluated, including villus height, epithelial height, crypt depth, muscular layer thickness, brush border height and goblet cell counts. Parasitological parameters were also assessed to characterize the infection model. Results Histomorphometric analysis demonstrated that treatment with essential oil at 200 mg/kg was associated with recovery of villus and epithelial height, increased brush border and goblet cell numbers, as well as attenuation of muscular layer hypertrophy, suggesting preservation of mucosal structure during infection. The 400 mg/kg dose, although associated with greater reduction in parasite burden, was accompanied by increased crypt depth, indicating more intense proliferative remodeling of the intestinal mucosa. Ivermectin promoted the greatest reduction in parasite burden with marked elimination of eggs and females. Conclusion These findings indicate that R. officinalis essential oil modulates intestinal mucosal architecture during experimental strongyloidiasis and highlight its potential influence on host intestinal responses during infection.

Gastrointestinal Parasites and their Zoonotic Potential in Domestic Pigs Raised by Ethnic Communities in the Chattogram Hill Tracts, Bangladesh - Tania Sultana; Abdullah Al Bayazid; Anas Bin Harun; Sourov Sutradhar; Md. Farhan Hasan; Ainun Nahar; Jinnat Rehena; Joynti Saha; Md. Shahariar Hosen; S. H. M. Faruk Siddiki; Md. Aminul Islam; Md Robiul Karim (Acta Parasitologica, 2026)

Sensitivity analysis of liquid-to-air and liquid-to-liquid cooling metrics under multilayer perceptron hyperparameter tuning for mobile and IoT-driven data centers - Antonio Cortés (Discover Networks, 2026)
Modern data centers are facing unprecedented pressure. Artificial Intelligence (AI), high-performance computing, edge systems, and compact servers are increasing energy consumption and generating more heat. Conventional cooling methods cannot meet these demands. As rack densities have increased from 5 to 10 kW per rack to 30, 50, or even 100 kW, the way thermal management is handled has changed completely. Liquid cooling has become one of the most practical and scalable ways to meet these problems. What was once considered a niche or experimental solution is now widely adopted by hyperscale’s, colocation providers, and enterprise data centers worldwide. This evolution is closely linked to the rapid expansion of mobile networks and Internet of Things (IoT) ecosystems, where edge data centers play a critical role in supporting latency-sensitive and data-intensive applications. As a result, efficient thermal management has become essential to ensure reliability and scalability in these distributed computing environments. The main objective of this study is to apply Neural Networks (NN) based on a cluster of metrics derived from the analysis of immersion cooling and direct chip cooling. These are used to analyze these metrics using a technique called a Multilayer Perceptron (MLP) and Radial Basis Function (RBF), which can yield one or more dependent variables to address the problems of energy usage and thermal output. A synthetic thermo-hydraulic dataset was generated to simulate operational cooling scenarios associated with liquid-to-air and liquid-to-liquid architectures in AI-oriented data centers. The simulation-driven dataset enabled the evaluation of multiple thermal and flow-related metrics under varying workload conditions using MLP and RBF neural-network models. The simulation results reveal that thermal and cooling-related variables—particularly ΔT, airflow, and mass flow—consistently have the strongest influence on system performance, regardless of model configuration. This finding highlights that efficient heat-dissipation mechanisms primarily drive system stability and energy efficiency. It supports the scalability and effectiveness of liquid-cooling solutions under high thermal loads.

Identifying stable loci for stigma exsertion rate by co-located QTL analysis in rice - Jiajun Chen; Linjiao Li; Hongli Ma; Linghong Li; Yi Liu; Yaxuan Xia; Jinjian Fan; Shilai Zhang; Quanya Tan (Euphytica, 2026)

Nonparametric proportional hazards model with differential regularization applied to spatial survival data - Lorenzo Tedesco; Francesco Finazzi (Environmental and Ecological Statistics, 2026)
The proportional hazards (PH) model is one of the most widely used models in survival analysis, typically assuming a log-linear relationship between covariates and the hazard function. However, in the context of spatial survival data, where the time-to-event variable is associated with a spatial location within a given domain, this assumption is often unrealistic in capturing spatial effects. Thus, this paper proposes modeling the location effect through a nonparametric function of spatial location. The function is approximated using finite element methods on a triangulated mesh to accommodate irregular domains. Estimation is carried out within the classical partial likelihood framework, with smoothness of the spatial effect enforced through differential penalization. Using sieve methods, we establish the consistency and asymptotic normality of the parametric component. Simulations and two empirical applications demonstrate superior performance compared to existing approaches.

Spatio-temporal analysis of rainfall variability in the Guadeloupe archipelago using an adapted Black–Scholes model with jumps and regimes - Esdra Alexis; Silvere Paul Nuiro; Thomas Plocoste (Environmental and Ecological Statistics, 2026)

Modelling air pollution concentrations via spatio-temporal Bayesian quantile regression - Edoardo Rosci; Jorge Castillo-Mateo; Massimo Stafoggia; Paola Michelozzi; Giovanna Jona Lasinio (Environmental and Ecological Statistics, 2026)
Exposure to high air pollution levels, especially in urban contexts, is a major risk factor for human health. Most models in literature, however, focus on the bulk of the distribution, and only few address its extremes, such as the right tail. In this work, we apply a Bayesian spatio-temporal quantile regression (QR) framework to daily air pollution data (NO 2 , PM 10 , and PM 2.5 ) in the Rome (Italy) municipality between 2011 and 2022. The model specification includes temporal, spatial, and spatio-temporal predictors, and a spatial Gaussian process (GP) to adjust intercept levels and capture spatial variability between monitoring sites. Models were evaluated through temporal and spatio-temporal cross-validation (CV), and sensitivity analyses were performed. Results highlighted that the majority of variability was captured by the GP. Spatial variability was captured especially for NO 2 ; the same pollutant, however, was also the most difficult to predict in spatial CV. All pollutants showed good temporal CV results and proper in-sample calibration. Exposure surfaces for 2011 and 2022 highlighted an overall decreasing trend whilst preserving the same high-concentration hotspots. These quantile-based exposure surfaces may support decision-making and subsequent epidemiological studies.

Pseudo-population bootstrap for design-based inference on spatial populations - Lorenzo Fattorini; Sara Franceschi; Marzia Marcheselli; Caterina Pisani; Luca Pratelli (Environmental and Ecological Statistics, 2026)

Multi-regime autoregressive models for cylindrical time series - Maria Maddalena Barbieri; Francesco Battaglia; Domenico Cucina (Environmental and Ecological Statistics, 2026)

Correcting the trigonometric moments and resultant lengths for grouped circular data - S. Rao Jammalamadaka; György Terdik; Ali Abuzaid (Environmental and Ecological Statistics, 2026)
We revisit the problem of correcting the trigonometric moments and the resultant lengths that are obtained from grouped circular data. In circular measurements as elsewhere, it is common in many practical applications to aggregate the data into intervals either for convenience, or because of lack of accuracy in measuring, and then assuming that all the observations in a given interval lie at the midpoint of that interval, for calculating needed statistics. It then becomes important to ask for formulae necessary to adjust for the error introduced by such approximations, and this problem has been considered earlier in Greenwood (1959) and Mardia (1972) focusing on the first two trigonometric moments, because they are the ones used mostly in practice. The proofs provided there also rely on other outside results. We take it considerably further with our principal contributions being twofold: (i) unlike earlier derivations, we provide very simple and straightforward derivations which are complete and hold for trigonometric moments of any order and (ii) make recommendations, based on extensive simulations, as to when and where such corrections make a significant difference. To further support our mathematical derivations, we provide extensive simulations using data that may come from 3 potentially common models, namely, the von Mises, the Generalized von Mises, and the Sine-skewed von Mises, and assess the performance of the correction formulae in these contexts. Our results demonstrate that the corrected trigonometric moments yield more accurate estimates, especially when the underlying distribution that generated the data deviate considerably from uniformity. The methods are illustrated using cross-bedding azimuth data from the Kamthi Formation, showing that grouping resolution can materially affect inference on directional concentration.

Déjà vu: point pattern analysis and point-in-polygon methods in ecological coding adventures - Duccio Rocchini (Environmental and Ecological Statistics, 2026)
Point pattern analysis (PPA) is a key spatial approach in ecology, used to investigate how individual organisms or events are distributed across a landscape and what ecological processes drive these patterns. Among the different point pattern analysis types, point-in-polygon (PIP) is a fundamental spatial technique in ecology, used to examine the relationship between discrete point-based observations and broader landscape or habitat units. By overlaying point features—such as species occurrences, nests, or sampling locations—onto polygonal regions like habitat types, land use zones, or conservation areas, ecologists can investigate spatial patterns, assess species–habitat associations, and quantify ecological processes at multiple scales. This method facilitates the aggregation of ecological data and supports the integration of fine-scale biological observations with coarse-scale environmental or management variables. Point-in-polygon analysis plays a critical role in conservation planning, biodiversity monitoring, and ecological modeling, especially as spatial datasets become increasingly high-resolution and accessible. This paper disentangles the fundamental mathematical principles behind point-in-polygon analysis, with emphasis on the most widely used algorithms, namely Ray Casting and the Sunday’s methods. To bridge computational geometry and applied spatial ecology, I introduce the package, a lightweight R implementation that operates directly on coordinate matrices and provides transparent, reproducible point-in-polygon testing. Both theoretical derivations and ecology-based simulation examples are presented in R, a widely used open-source software environment among ecologists.

Assessing the impact of block size on block likelihood estimation: a comparative study - Alfredo Alegría (Environmental and Ecological Statistics, 2026)

Predictive machine learning optimization of microalgal biofuel yield using environmental parameters - Basem Abu Zneid; S. Renuka Jyothi; Noor Mazin Basheer; Jayshree Nellore; Vipasha Sharma; Siya Singla; Sardor Sabirov; Rasul Usmanov; Ahmad Khalid (Environmental and Ecological Statistics, 2026)

Multi-horizon hourly air temperature forecasting over Lake Van using classical, machine learning, and transformer-based models: a comparative benchmark with statistical significance testing - Mehmet Şamil Güneş (Environmental and Ecological Statistics, 2026)

Unveiling future drought patterns under climate change using ensemble climate data from CMIP6 archive - Firdos Khan (Environmental and Ecological Statistics, 2026)

Mutual learning approach for improving river discharge predictability in data-scarce regions: a case study in the Cau River Basin, Vietnam - Nguyen Thi Thu Ha; Duc Quang Vu; Ngoc Phu Doan; Ly Tran Tan; Phan Pham Chi Mai; Dao Duy Minh; Zichi Zhang; Viet-Hung Tran; Ngoc Anh Le; Nguyen Hao Quang; Minh Quan Dang; Mai Thai Son (Environmental and Ecological Statistics, 2026)

Bayesian estimation of farmland mulching area from sparse remote sensing observations: a hierarchical spatial modeling framework - Xinlai Kang; Hongyu Chen; Yanbing Bai; Bohai Zhang (Environmental and Ecological Statistics, 2026)

Machine learning modeling of value-added carbon intensity across global industrial sectors - Nnaemeka Achara; Davor Antanasijević; Viktor Pocajt (Environmental and Ecological Statistics, 2026)

Relative humidity prediction using temperature and unit autoregressive moving average models - Renata Rojas Guerra; Anna Vizziello; Pietro Savazzi; Emanuele Goldoni; Paolo Gamba (Environmental and Ecological Statistics, 2026)
This study investigates the forecasting of hourly relative humidity (RH) using temperature as an exogenous variable, based on high-frequency environmental data collected from an IoT-enabled weather station installed in a vineyard in Italy. For this purpose, we fit and compare the predictive performance of classical autoregressive moving average (ARMA) models tailored for random variables bounded within the standard unit interval, so-called unit ARMA models, and the classical autoregressive integrated moving average (ARIMA) models. Advances in the unit ARMA literature include the beta ARMA ( $$β$$ β ARMA), Kumaraswamy ARMA (KARMA), unit Burr XII ARMA (UBXII-ARMA), and unit Weibull ARMA (UWARMA) models. All models were fitted with temperature as a covariate, which showed a significant–predominantly negative–effect across all model classes. Among the fitted models, UWARMA with temperature emerged as the most competitive, combining strong forecasting performance with theoretical consistency for modeling bounded variables. These results highlight the suitability of unit ARMA models for accurate RH forecasting in environmental monitoring applications.

Beyond correlation: quantifying compound hydro-climatic shocks with copulas - Youssef Saliba; Alina Bărbulescu (Environmental and Ecological Statistics, 2026)
Compound temperature–precipitation shocks shape hydro-climatic impacts in semi-arid regions but are not fully represented by linear correlation. Using monthly observations from Tulcea, Dobrogea (1965–2019), we quantify contemporaneous dependence by isolating independent and identically distributed innovation shocks and modeling their joint distribution with copulas. Temperature is filtered with a periodic autoregressive moving average of orders 2 and 1 and a periodic Generalized Autoregressive Conditional Heteroskedasticity variance model, and fitted with a Student- t marginal. For precipitation, we use a periodic autoregressive of first-order model with a Generalized Extreme Value marginal. Probability-integral transforms (PIT) yield uniform innovations. Candidate copulas are estimated by maximum likelihood, selected via Akaike/Bayesian criteria (AIC/BIC), and checked with White’s information-matrix test. The Frank copula is selected for all four compound configurations (warm–dry, cold–wet, warm–wet, cold–dry), implying a zero asymptotic tail dependence but non-trivial finite quantile $$\left( {\tilde{t} \in \left( {0,1} \right)} \right)$$ t ~ ∈ 0 , 1 co-occurrence. At $$\tilde{t}$$ t ~ = 0.90 (the 90th percentile), the warm–dry and cold–wet co-occurrence ( $$\tilde{J}$$ J ~ =0.0196) is nearly double the independence ( $$\tilde{B}$$ B ~ =0.0100) expectation (a 97% increase with ( $$\tilde{R}$$ R ~ =1.969). By contrast, warm–wet and cold–dry are suppressed ( $$\tilde{J}$$ J ~ =0.0015 and 0.0030) and co-occur well below independence (an 85 and 70% decrease with $$\tilde{R}$$ R ~ = 0.151 and $$\tilde{R}$$ R ~ = 0.303, respectively). The approach yields station-specific multipliers for compound event risk and a generalizable procedure that disentangles within-series dynamics from bivariate dependence.

Distributed lag non-linear models with spatial effect modification using Laplacian P-splines - Sara Rutten; Thomas Neyens; Elisa Duarte; Antonio Gasparrini; Christel Faes (Environmental and Ecological Statistics, 2026)

Locally sparse spatially varying coefficient models with altitude effects - Seungjun Park; Danhyang Lee; Myungjin Kim (Environmental and Ecological Statistics, 2026)
In several fields such as ecological, climate, and environmental studies, modeling three-dimensional (3D) spatial heterogeneity, including altitude, is essential for capturing complex geographic variation. Geographically and altitudinal weighted regression (GAWR) is widely used for this purpose, extending traditional geographically weighted regression into three dimensions. However, GAWR cannot perform local variable selection—it assumes all predictors are relevant at every location - which can make the resulting models less accurate and difficult to interpret when true local sparsity exists. To address this limitation, we propose $$L_0$$ L 0 -GAWR, a novel framework that integrates GAWR with an $$L_0$$ L 0 -norm penalty for strict location-specific variable selection. This framework simultaneously models 3D spatial effects, including altitude, while identifying regionally relevant predictors in a data-driven manner. Since optimizing the $$L_0$$ L 0 penalty involves a computationally challenging NP-hard problem, we employ an iterative adaptive splicing algorithm to search for near-optimal solutions with stable convergence efficiently. Simulation studies demonstrate that $$L_0$$ L 0 —GAWR outperforms conventional GAWR in estimation accuracy and interpretability by correctly identifying zero coefficients. Application to South Korean air temperature data shows that the proposed model effectively captures altitude-driven spatial variations and produces sparse, interpretable coefficient estimates, demonstrating its strength in analyzing complex 3D spatial heterogeneity.

Exact one-sided inference for random-effects quantiles in negative binomial regression for ecological count data - Abdolnasser Sadeghkhani; Ali Sadeghkhani (Environmental and Ecological Statistics, 2026)
Ecological count data often exhibit substantial heterogeneity beyond measured covariates and variable sampling effort. We study negative binomial regression with an additive latent effect on the log-mean and exposure offsets, leaving the random-effects distribution unspecified. Rather than estimating that distribution directly, we develop finite-sample valid one-sided inference for interpretable summaries of latent heterogeneity, with primary focus on heterogeneity quantiles that correspond to multiplicative departures from a covariate-adjusted baseline intensity. Our approach uses sample splitting to separate nuisance estimation from inference, constructs a randomized exceedance statistic on a held-out fold, and calibrates composite null tests through least-favorable mixing configurations. Exact p -values are obtained from Poisson–binomial tail probabilities, and test inversion yields a one-sided lower confidence bound with conditional finite-sample coverage. We also distinguish a sharper bounded calibration, when a scientifically credible upper support bound is available, from a fully distribution-free calibration that remains valid but is more conservative. Simulation experiments under NEON-like designs show conservative coverage and stable behavior across distinct heterogeneity regimes. An application to NEON small mammal live-trapping data illustrates how the proposed lower bound provides a transparent finite-sample statement about residual plot-night heterogeneity after adjusting for seasonality, habitat, site effects, and effort.

Integrating presence-only and abundance data to predict baobab (Adansonia digitata L.) distribution: a Bayesian data fusion framework - Akoeugnigan Idelphonse Sode; Adandé Belarmain Fandohan; Elias Teixeira Krainski; Achille Ephrem Assogbadjo; Romain Glèlè Kakaï (Environmental and Ecological Statistics, 2026)

Modeling the dynamic of stratified dissolved oxygen using a data-driven regression approach - Yuli Sudriani; Arnida L. Latifah; Foni Agus Setiawan; Muh. Fakhrudin; Norma Binti Alias (Environmental and Ecological Statistics, 2026)

Mapping Flood Co-Adaptation Strategies in a Vulnerable River Basin: Engaging Youth in Collaborative Decision-Making - Zulfaqar Sa’adi; Zainura Zainon Noor; Nur Syamimi Zaidi; Ee Ling Yong; Fateha Abdul Razak; Nurul Hana Mohamed; Zainab Mat Lazim; Ainul Syarmimi Rosli; Mohd Faiz Foze; Siti Hanna Elias; Khairunnisa Abdul Halim; Muhammad Burhanuddin Bahrodin; et al. (Environmental Management, 2026)

Factors Associated with Farmers’ Participation in the U.S. Conservation Reserve Program (CRP) - Suraj Upadhaya; Shreesha Pandeya; Lisa A. Schulte (Environmental Management, 2026)
The Conservation Reserve Program (CRP), the largest U.S. private lands conservation initiative, incentivizes farmers to retire environmentally sensitive land to reduce erosion, improve water quality, and enhance wildlife habitat. The program is currently under consideration for reauthorization by Congress. We assessed social, economic, and ecological factors associated with CRP enrollment to evaluate program effectiveness and guide future policy. Analysis of a 5-year (2015–2019) survey of Iowa farmers revealed several factors positively associated with participation. Most strongly, the farm-level ecological variable of the mean percent slope was positively associated with CRP adoption. A one-unit increase in mean percent slope increases the odds of enrollment by threefold. Farmers who received technical assistance from non-governmental agencies for the implementation of conservation practices, a social variable, were 88% more associated with enrollment in CRP. Cropland area, an economic variable, increased the odds of enrolling in CRP by 47%. Several additional variables were positively associated with CRP enrollment, including receipt of additional cost-share, attitudes toward nutrient management, involvement in watershed management groups, agronomic capacity, education, access to information from public sources, and age. The amount of land in pasture and the proportion of farmland rented were negatively associated with farmers’ CRP enrollment. Our findings highlight current program strengths that enhance conservation outcomes as well as potential future adjustments to further address cost and trust barriers.

Seasonal occupancy and population trends of juvenile permit (Trachinotus falcatus) in Texas estuaries - Karley N. Beadle; Ethan T. Getz (Environmental Biology of Fishes, 2026)