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.

Native soil fungal symbionts substantially contribute to crop yields in commercial-scale farming - S.F. Bender; A. Guzman; K. Hartman; K.M. Scow; T.M. Bowles (Applied Soil Ecology, 2026)

Limited recovery of soil health indicators under secondary vegetation in a semi-arid mountainous region - Yahya Kooch; Fatemeh Heidari; Mohammad Gholipour Soloshi; Mehrdad Zarafshar; Martin Karl-Friedrich Bader (Applied Soil Ecology, 2026)

CO2 capture rhizosphere and ecosystem in cold Himalayas: Mechanistic analysis of CO2 sequestration by leaf glycosides of Arnebia euchroma - Nidhi Sharma (Applied Soil Ecology, 2026)

Soil properties modulate pyroxsulam-induced oxidative stress in Eisenia fetida across contrasting soil matrices - Kaixuan Hou; Mengyuan Wang; Jiahui Dong; Chengbo Lu; Xiaole Wang; Zhongkun Du; Bing Li; Jun Wang; Jinhua Wang; Lusheng Zhu (Applied Soil Ecology, 2026)

Allelochemical-mediated bacterial homogenization and its potential role in mitigating chemical stress induced by plant invasion in alpine meadows - Xin Liu; Yaojun Ye; J. Aaron Hogan; Wenguang Sun; Minshu Song; Hang Sun; Yazhou Zhang (Applied Soil Ecology, 2026)

Titanium dioxide nanoparticles modulate soil bacterial communities to mitigate arsenic accumulation in contrasting maize varieties - Muhammad Ali Shah; Haseeb Ahmad; Shahid Ali; Kashif Khan; Rayyan Khan; Xi Zheng; Xun Bo Zhou (Applied Soil Ecology, 2026)

Oxidation turns biodegradable microplastics into stronger stressors for soil nematodes and increases plant parasite risk with sawdust amendment - Zhongjie Sun; Yaxuan Cui; Yaru Nie; Yan He; Xiongde Dong; Muhammad Aaqil Khan; Feirong Ren; Hao liu; Shujaul Mulk Khan; Noshin Ilyas; Asim Shahzad; Junqiang Zheng (Applied Soil Ecology, 2026)

Rhizosphere microbiome drives selenium bioavailability: Mechanisms and implications for biofortification - Lin Wu; Panpan Han; Huimin Lu; Wensheng Zhang (Applied Soil Ecology, 2026)

Integrated fertilization promotes walnut growth by reshaping microbial nutrient cycling in degraded sandy soils - Kai Yang; Wensheng Yang; Jianqiang Zhu; Qixia Wu; Xiaohong Xu (Applied Soil Ecology, 2026)

Soil–climate filtering dominates the wild Elymus nutans rhizosphere microbiome, with a secondary prokaryote-biased host signal - Jianting Long; Xianlei Gao; Yanjun Miao (Applied Soil Ecology, 2026)

Exogenous microbial reinforcement technology for ecological restoration of degraded soils: applications and bioprocess regulation - Meiqing Jin; Weihong Wu (Applied Soil Ecology, 2026)

Corrigendum to “Arenosol Epieuric and Haplic Cambisol show a similar level of resilience of microbial communities when irrigated with treated wastewater in a temperate climate” [Appl. Soil Ecol. 204 (2024) 105693] - Alica Chroňáková; Michal Choma; Lucie Kotrbová; Ana Catalina Lara; Clara Villeneuve; Rosa Paulina Calvillo-Medina; Veronika Jílková; Radka Kodešová (Applied Soil Ecology, 2026)

Microbial network fragmentation at a coal washing hotspot: Assembly mechanisms and stability implications - Senhua Jiang; Yangkun Shi; Jing Zhang; Chenyu Huang; Yue Li; Wenbo Zhang; Jinghui Ma; Nan Chen; Longfei Shu; Cheng Wang; Feifei Liu; Bo Wu (Applied Soil Ecology, 2026)

Long-term biogas slurry irrigation drives microbial co-occurrence network succession and functional shifts in apple orchards of arid areas - Jiabin Liu; Yaohui Cai; Jianjun Wang; Ziyue Guo; Mingyi Wen; Xiaodong Gao; Anina James; Junting Pan; Xining Zhao (Applied Soil Ecology, 2026)

Compartment-specific responses of soil, root, and earthworm gut microbiomes to Terra Preta de Índio–inspired amendments in a tropical latosol - Ricardo Leitão; Talita Ferreira; Nuno G.C. Ferreira; Pablo Orozco-terWengel; Peter Kille; George G. Brown; Luís Cunha (Applied Soil Ecology, 2026)

Optimal basal-to-topdressing nitrogen ratios promote soil c-n coupling through microbial community modulation across loam and clay loam soils of North China Plain cropland - Jingyu Li; Yanqun Wang; Bin Wang; Rui Hou; Wenchao Zhen; Yuanyuan Huang; Yufei Liu; Xuguang Li; Zhengping Peng; Xin Fu (Applied Soil Ecology, 2026)

Short-term microplastic addition modifies the impacts of Solidago canadensis L. invasion on soil faunal communities - Minying Huang; Ying Chen; Fu Chen; Saige Xu; Yan Zhu (Applied Soil Ecology, 2026)

Effects of livestock grazing on soil nematodes vary with soil depth in a temperate forest - Zhen Zhao; Jialing Teng; Xintong Wei; Jiawei Feng; Tianming Wang (Applied Soil Ecology, 2026)

Forest type mediates soil nitrogen responses to thinning: Divergent regulatory pathways in subtropical China - Long Dang; HongRui Liu; MingHao Wang; FengZheng Cao; BoLin Deng; SiYang Bian; YongJian Wang; WeiDong Zhang; ChunQian Jiang; YanFeng Bai (Applied Soil Ecology, 2026)

Multifactorial drivers shape taxonomic and functional structure of soil Collembola in land uses in a Mediterranean ecosystem - Monica Zizolfi; Lucia Santorufo; Valeria Memoli; Luisa Maria Manici; Giorgia Santini; Rossella Barile; Giulia Maisto (Applied Soil Ecology, 2026)

Overexpression of the tomato SlSAMS1 gene reshapes rhizosphere bacterial communities and soil metabolomes to alleviate alkali stress - Simin Li; Qinghua Shi; Na Sui; Fenghui Wu (Applied Soil Ecology, 2026)

Combination of reduced fertilization and tobacco-maize rotation reshapes soil fungal community structure, functions, and ecological strategies - Cong Wang; Xiaomeng Wei; Tida Ge; Dan Chen; Julia Brandao Gontijo; Kaiyuan Gu; Yonglei Jiang; Weijun Shen; Jorge Luiz Mazza Rodrigues (Applied Soil Ecology, 2026)

Distinct responses of aggregate-associated microbial P-mobilization to coupled changes in nutrient inputs and C:P stoichiometry - Xiaoyan Tang; Juan Ma; Kuilin Wu; Yongyang Luo; Xin Lu; Yanyan Zhang; Youlin Luo; Yingjie Wu; Geng Sun; Igor Bogunovic; Changquan Wang; Hongbo Li; et al. (Applied Soil Ecology, 2026)

Parent material in controlling mineral-associated organic carbon formation pathways: A mineral sieve mechanism - Rui Jiang; Chun Liang; Zichun Guo; Samuel Adingo; Lei Gao; Shuai Liu; Xinhua Peng (Applied Soil Ecology, 2026)

Divergent effects of a Bacillus biofertilizer immobilized in guinea pig manure biochar: Boosting productivity vs. enhancing nutritional quality in maca monocultures - Richard Solórzano; Ana Carranza-Ramirez; Nora Vera-Obando; Rosario Javier-Astete; Alberto Arias-Arredondo; Melina Lopez-Rodriguez; Michell K. Arroyo-Julca; Excela Saavedra-Flores; Cinthia Quispe-Apaza; Lizbeth Mamani-Rojas; Juancarlos Cruz; Angel Montes Osorio; et al. (Applied Soil Ecology, 2026)

Divergent responses of soil methanogens and methanotrophs to climatic warming in a Tibetan alpine meadow - Yigang Hu; Saipeng Hou; Yuzhang Li; Zhenhua Zhang; Xingwu Lin; Liang Jiao (Applied Soil Ecology, 2026)

Soil type and land-use patterns determine the composition of canonical ammonia oxidizers and comammox Nitrospira communities - Xinli Wang; Fei Zhu; Chi Zhang; Jiaxing Wei; Yongquan Shang; Bo Liu; Yun Wang (Applied Soil Ecology, 2026)

Desertification reshapes soil fungal community structure across Brazilian dryland ecoregions - Ruggeri M.M. Santos; Katriny K.S. Negreiros; Ademir S.F. Araujo; Erika V. de Medeiros; George R. Lambais; Rodrigo S. Macedo; Raphael M. Beirigo; Diogo P. Costa; Kaio G.V. Garcia; Antonio Y.V. Lima; Gabriel N. Nóbrega; Lucas W. Mendes; et al. (Applied Soil Ecology, 2026)

Long-term coppicing reshapes soil microbial communities without compromising functional stability in Mediterranean forest ecosystems - Veronica Vitagliano; Enrica Picariello; Alessia Esposito; Flavia De Nicola (Applied Soil Ecology, 2026)

Assessment of cultivable soil health in China: A national-scale framework and application - Long Kang; Jose L. Gabriel; Kening Wu; Jose A. Rodríguez Martín; Zhe Feng; Junfu Li (Applied Soil Ecology, 2026)

Land-use history drives functional divergence of native arbuscular mycorrhizal fungal communities in promoting maize growth in saline soils - Tianyi Niu; Youran Ma; Xuemin Jing; Haiyan Feng; Wei Fu; Zhipeng Hao; Xin Zhang; Songlin Wu; Baodong Chen (Applied Soil Ecology, 2026)

Nitrogen input drives niche partitioning and phylogenetic succession of active ammonia oxidizers in protected vegetable soils - Weishou Shen; Dandan Li; Biyun Bian; Nan Gao; Zhongjun Jia; Xiangui Lin; Xinhua He; Wenhui Zhong (Applied Soil Ecology, 2026)

Atrazine-modified root exudates reshape the rhizobium community and regulate soybean growth - Duo Jiang; Zhao Jiang; Wei Li; Ke Du; Yi Wu; Zhengze Du; Yining Gui; Bo Cao; Yuexuan Ma; Ying Zhang (Applied Soil Ecology, 2026)

Contrasting rhizosphere soil chemistry and microbial community patterns in paddy and upland vegetable systems of coastal saline farmland - Tianzhu Meng; Mingpeng Zhang; Qinqin Sun; Haichen Wu; Lei Jin; Hang Zhou; Xinqi Huang; Shihong Yang (Applied Soil Ecology, 2026)

Compositional shifts in arbuscular mycorrhizal fungal communities drive soil carbon sequestration in coastal salt marshes - Yue Xue; Zhuoyue Zhang; Qiujun An; Qihang Liao; Xiaojie Wang; Yadi Zhou; Feng Yuan; Xiao Huang; Haibin Kang; Chenglong Wang; Chendong Ge; Penghua Qiu; et al. (Applied Soil Ecology, 2026)

Climatic, soil, and rhizosphere fungal drivers of flavonoid composition in Scutellaria baicalensis - Ying Liao; Xiaojian Chen; Xuan Du; Jintao Jia; Yahao Xu; Yi Qiang; Bixin Bai; Langjun Cui; Yulong Li (Applied Soil Ecology, 2026)

Soil quality evaluation of no-tillage reseeding grassland based on quality index area and sensitivity-resistance method - Xiaoqing Qiu; Shuang Yan; Hao Shi; Fei Xia; Wei Wei; Yu Zhang; Jiarui Ding; Jiayu Cao; Haoyang Wu; Linling Ran; Jinglong Wang; Junqiang Wang (Applied Soil Ecology, 2026)

The legume Alhagi sparsifolia strengthens associations among soil microbial carbon- and nitrogen-related functional genes under drought stress: A metagenomic analysis - Jingming Yan; Zhihao Zhang; Waqar Islam; Xinping Dong; Mengfei Cong; Guangxing Zhao; Yanju Gao; Fanjiang Zeng (Applied Soil Ecology, 2026)

Comammox Nitrospira and AOB are more sensitive to warming than AOA in croplands of the North China Plain - Xiang Li; Yarui Shi; Ningning Tian; Mingmei Lu; Zhenxing Zhou; Ruixian Yang; Kesheng Zhang; Xuesong Luo; Wenli Chen; Qiaoyun Huang (Applied Soil Ecology, 2026)

Potassium permanganate combined with peat soil amendment alleviates apple replant disease by reshaping soil fungal communities - Lianhui Pan; Luhan Chen; Mingna Xu; Xuesen Chen; Chengmiao Yin; Zhiquan Mao (Applied Soil Ecology, 2026)

Combined effects of Chlorella application and reduced nitrogen fertilization on nitrogen use efficiency and crop yield in facility vegetable systems - Guoliang Zhao; Jingyu Sun; Xingcheng Hu; Zhengxi Cai; Chen Li; Qingfeng Chen (Applied Soil Ecology, 2026)

Gene-copy normalized heterotrophic soil respiration as a field proxy for the soil microbiomes' dormancy and carbon use efficiency – A proof-of-concept - Magdalena Nagler; Michael Steinwandter; Michael Bahn; Julia Seeber (Applied Soil Ecology, 2026)

Labile carbon drives seasonal dynamics of soil microbial and enzymatic activity in saline-alkali wetlands of the Songnen Plain, Northeast China - Fangcong Fu; Jiabao Yuan; Yanyu Song; Zhendi Liu; Mengyuan Zhu; Jia Qi; Xiaochen Yao (Applied Soil Ecology, 2026)

The effects of crop domestication on litter quality and mixing effects during decomposition differ between leaves and roots - Javier Palomino; Stephan Hättenschwiler (Applied Soil Ecology, 2026)

Depth-dependent stratification of FMN-associated bacterial communities governing nutrient cycling and heavy metal immobilization in ultisol soils - Danish Ali; Bashir Hussain; Suprokash Koner; Ashiq Hussain; Arina Sardar; Wen-Shu Huang; Bing-Mu Hsu (Applied Soil Ecology, 2026)

When remediation is not recovery: a critical review of soil microbiome reassembly, functional resilience, and ecological recovery in post-remediation soils - Mariusz Cycoń (Applied Soil Ecology, 2026)

Improved soil quality underpins bacterial resistance against rainfall perturbations to mitigate maize yield loss - Yangbo Huai; Yonghua Li; Lu Yang; Peng Ning (Applied Soil Ecology, 2026)

Soil nutrient effect on microbial diversity and community composition is modulated by soil aggregate fractions in Yuanjiang savanna, China - Jinxiu Zhang; Zihao Guo; Can Wang; Na Lin; Chunyu Hou; Yajun Chen; Meiyan Zhang; Jianping Wu (Applied Soil Ecology, 2026)

Interactive effects of lead (Pb) contamination and soil acidification on the structure and composition of fungal and bacterial communities - Elsa Dejoie; Maxime Thomas; Nicole J. Fenton; Annie DesRochers; Christine Martineau; Fabio Gennaretti (Applied Soil Ecology, 2026)

Arbuscular mycorrhizal fungi recruit siderophore-producing phosphate solubilizing bacteria to mobilize sparingly soluble inorganic phosphate in subtropical orchard soils - Fengwa Zhu; Wei Zhang; Yongqiang Qin; Zengwei Feng; Yang Zhou; Xiaodi Liu; Qiutong Ling; Mingrong Deng; Honghui Zhu; Qing Yao (Applied Soil Ecology, 2026)

Enhancing soil aggregate stability in mixed plantation of Eucalyptus urophylla and Acacia mangium - Yeming You; Danyang Hou; Hailun Ma; Yi Wang; Yijia Huang; Zhouyu Luo; Haimei Huang; Lu Zheng; Xueman Huang (Applied Soil Ecology, 2026)

Humic acid reduces the dissemination of antibiotic resistance genes by reshaping the soil microbiome in farmland soils - Yuchen Guo; Shuhan Li; Xuzhi Zhang; Lanjun Wang; Yuanfei Gao; Yannan Xue; Yibo Gao; Yuhan Ye; Lusheng Zhu; Jun Wang; Young Mo Kim; Jinhua Wang (Applied Soil Ecology, 2026)

Chain length-dependent toxicity of PFAS in tomato: Linking rhizosphere microbiota to host oxidative damage through metabolic reprogramming - Mengyao Liu; Haoyu Wang; Huiyan Yang; Wenjia Kong; Xiangfeng Yao; Xianxu Li; Benjamin L. Turner; Hongda Sun; Jun Wang (Applied Soil Ecology, 2026)

Current progress in remediation of polycyclic aromatic hydrocarbons and heavy metals co-contaminated soils - Shan-shan Liu; Qijie Xu; Siyue Zhang; Yaoyu Zhou; Danxing Yang (Applied Soil Ecology, 2026)

Citrus microbiota in the Canary Islands: How soil management shapes root endosphere and rhizosphere communities - María Quintana-González-de-Chaves; Ana V. Lasa; María Araceli García-González; Marta Selma Garzón-Molina; Arely Giovanna Gómez-Jara; Manuel Fernández-López; Mónica González-González (Applied Soil Ecology, 2026)

Aridity shapes soil bacterial and fungal β-diversity in Inner Mongolia grasslands: the role of stochasticity and network complexity - Nier Su; Xiaoqian Gong; Yanyun Zhao; Qing Zhang (Applied Soil Ecology, 2026)

Photorhabdus metabolites reshape soil microbial communities and promote plant growth and insect resistance - Jaspher Ewany; Ivan Hiltpold; Emmanuel Defossez; Gaétan Glauser; Carla C.M. Arce; Wei Zhang; Sergio Rasmann; Ted C.J. Turlings; Ricardo A.R. Machado (Applied Soil Ecology, 2026)

Humalite restructures microbial community composition, functions, and interaction networks in the canola rhizosphere - Pramod Rathor; Chathuranga De Silva; Rhea Amor Lumactud; Malinda S. Thilakarathna (Applied Soil Ecology, 2026)

Bacterial and fungal community differentiation in microhabitats created by Lumbricus and Aporrectodea anecic earthworm species - Kevin Hoeffner; Daniel Cluzeau; Julien Tremblay; Mathieu Santonja; Cécile Monard (Applied Soil Ecology, 2026)

Intensified rainfall seasonality and elevated nitrogen deposition reduce soil phosphorus availability in a subtropical forest: Linkages to functional microbes and enzyme kinetics - Zhiming Guo; Anna Gunina; Qingshui Yu; Jianbo Fang; Jinhong He; Xiuling Ni; Yanxia Nie; Xiaoge Han; Dan He; Muhammed Mustapha Ibrahim; Xiangping Tan; Weijun Shen (Applied Soil Ecology, 2026)

Global sublinear scaling between soil microbial biomass carbon and soil organic carbon across biomes - Amitava Chatterjee (Applied Soil Ecology, 2026)

Spatial distribution and edaphic drivers of plant-parasitic nematodes in Spanish viticulture - Sergio Álvarez-Ortega; Luis Cayuela (Applied Soil Ecology, 2026)

Earthworm community responses to land use change and landscape degradation in tropical forest - Hernández-García Luis Manuel; Sandriel Costa Sousa; Jesus Enrique Burgos Guerrero; Ernesto Gómez Cardozo; Samuel Wooster James; Guillaume Rousseau Xavier (Applied Soil Ecology, 2026)

Predicted effects of climate change on the spatial distribution of soil nematodes at a regional scale - Rui P. Carvalho; A. Carolina Duarte; Carlos A. Guerra; Susana Mendes; Concha Cano-Diaz; Sofia R. Costa (Applied Soil Ecology, 2026)

Land-use type and elevation reshape microbial resource allocation and phylogenetic assembly in a high-altitude valley agroecosystem - Pan Wang; Bicheng Zhang; Zhaolong Zhu; Shaoshan An (Applied Soil Ecology, 2026)

Mineral-dependent physicochemical regimes govern the adsorption of soil viral communities - Meiyi Wang; Yongfeng Wang; Weipeng Liu; Zhibo Cheng; Xinyao Yang; Xiaolong Liang (Applied Soil Ecology, 2026)

Effects of soil nematode communities and micro-food web energy flux on ecosystem multifunctionality under 12-year field nitrogen addition in a boreal forest - Gang Fu; Guancheng Liu; Ligong Wang; Yuguo Gao; Zhicheng Yao; Yajuan Xing; Qinggui Wang (Applied Soil Ecology, 2026)

Atmospheric nitrogen deposition is positively associated with diazotroph diversity in unfertilized soils - Hongkai Liao; Xiangtian Meng; Yaying Li; Huaiying Yao (Applied Soil Ecology, 2026)

Changes in soil multifunctionality across an infection chronosequence of pine wilt disease in Pinus massoniana plantations - Xueyu Song; Wenyu Chen; Ke Wei; Wenfa Xiao; Xiaoyi Wang (Applied Soil Ecology, 2026)

Associated effect of soybean meal and native microbial community on the accelerated arsenite oxidation by Achromobacter xylosoxidans YYS001 in paddy soil - YongChen Wu; XiaoYu Liu; YanYing Liang; JunRong Huang; HaoJie Shi; YuanFeng Chen; GuiDi Yang (Applied Soil Ecology, 2026)

Driving forces for aggregate-associated soil C, N, and P from livestock dung and dung beetles in a grazed temperate steppe in Mongolia - Jiaxing Liang; Weiqing Zhang; Qian Tian; Yanan Yuan; Zhiqiang Wan; Na Wang; Xiangguo Bai; Qian Chen (Applied Soil Ecology, 2026)

Carbon source quality drives diazotroph community dynamics and life history strategies in agricultural soils - Chang Liu; Xuemei Hu; Yidan Jia; Haofei Zhang; He Sun; Shanshan Yang; Yajun Gao; Gehong Wei; Weimin Chen (Applied Soil Ecology, 2026)

Soil multi-trophic network complexity and community stability jointly predict ecosystem multifunctionality in a chronosequence of Pinus tabuliformis plantations - Jinghua Huang; Jing Zhang; Huiting Wu; Feifei Sun; Tianyuan Huang; Shiwei Zhao; Guoqing Li (Applied Soil Ecology, 2026)

Cover crops legacy modulates soybean rhizosphere microbiome across phenological stages - Caio César Gomes Freitas; Carolinne Rosa de Carvalho; Rafael Lima Oliveira; Nariane de Andrade; Danilo Ferreira da Silva; Mísia Souza Vieira; Victor Lucas Vieira Prudêncio Araújo; João Henrique dos Santos Ferreira; José Roberto Portugal; Carlos Alexandre Costa Crusciol; Fernando Dini Andreote (Applied Soil Ecology, 2026)

Transfer of 14C from peat and plant litter to different ecological groups of earthworms and associated biological responses under controlled conditions - Soroush Majlesi; Arash Hendukolaee; Zahra Shirani; Susanna Salminen-Paatero; Jussi Paatero; Ari T.K. Ikonen (Applied Soil Ecology, 2026)

Effect of different arsenic species on the combined toxicity of mulch film-derived polyethylene microplastics and arsenic to earthworm Eisenia fetida - Lusheng Xu; Xiaoyu Ma; Jinhai Tan; Xiufeng Cao; Weina Xue; Xinlei Wang; Zhifeng Wang (Applied Soil Ecology, 2026)

Contrasting microbial mechanisms drive vertical differentiation of soil organic carbon pools under nitrogen deposition in a desert shrubland - Peng Kang; Yaqing Pan; Wenbin Qiao; Qing Wang; Yilin Yang; Chao Guan (Applied Soil Ecology, 2026)

Conversion from natural to agricultural soils increases network complexity and reshapes cross-kingdom microbial associations - Mingming Du; Peipei Xue; Budiman Minasny (Applied Soil Ecology, 2026)

Paddy soils with contrasting rice yields harbor distinct microbial networks and candidate key microbes - Do-Hyun Kim; Sang Yoon Kim; Yeomyeong Lee; Sohee Yoon; Hyerin An; Yu-Na Jeon; Jaekyeong Song; Sujin Kim; Jung Seon Kim; Gyeongjun Cho (Applied Soil Ecology, 2026)

Microplastics type and size affected soil N2O emissions by governing contribution of nitrification and denitrification pathways - Xiaoqian Dan; Kaihui Du; Wangwang Tao; Jie Chen; Wenlan Yang; Chuangye Zhang; Junhao Li; Jing Hu; Qilin Zhu; Ahmed S. Elrys; Zucong Cai; Lei Meng; et al. (Applied Soil Ecology, 2026)

Microbiome-driven redistribution of antibiotic resistance genes in a manure–soil–plant system after Bacillus subtilis inoculation - Fengjiao Liu; Wei Wei; Xiaolu Wu; Yingjia Wang; Naqi Cui; Hongwu Liang (Applied Soil Ecology, 2026)

Indigenous beneficial microbes contribute to pathogen inhibition in Chinese yam continuously cropped soil - Huanhuan Cheng; Yifan Cao; Paidamoyo Mataranyika; Ziyi Yuan; Yan Wang; Jian Yang; Luqi Huang; Zongzhuan Shen; Qirong Shen; Rong Li (Applied Soil Ecology, 2026)

Ultraviolet radiation increases microbial carbon use efficiency by changing phosphorus limitation and fungal community under litter addition in an arid land - Yalan Liu; Xiangyi Li; Xin Shen; Meiqi Li; Taotao Wang (Applied Soil Ecology, 2026)

Plant-soil-microbe interactions regulate plant- and microbial-derived carbon accumulation along a spatial vegetation gradient in arid salt marsh - Yaqing Pan; Peng Kang; Yilin Yang; Qing Wang; Chanyu Zhuang; Wenbin Qiao; Azmat Gyrat; Xuan Qu; Chao Guan (Applied Soil Ecology, 2026)

Intensive pesticide application history leads to reduced root symbiont functioning but not to long-term adaptation - Elias Barmettler; Matteo Torino; Alain Y. Valzano-Held; Kathleen A. Mackie-Haas; Thomas D. Bucheli; Marcel G.A. van der Heijden; Stefanie Lutz (Applied Soil Ecology, 2026)

Protists and nematodes improve assessment of soil multifunctionality recovery in Suaeda salsa remediated saline soils - Ayijiamali Kudureti; Haidong Gu; Shuai Zhao; Bin Peng; Xu Liu; Baozhan Wang; Yu Shi; Hazaisi Hanipa; Zhenyong Zhao; Changyan Tian; Guanghui Lv (Applied Soil Ecology, 2026)

An inferential ceiling in nanomaterial-assisted phytoremediation studies: Insights from a semi-systematic review of functional evidence in soil microbial communities - Ottavia Pinto; Marco Contin; Luca Marchiol (Applied Soil Ecology, 2026)

Biowaste-derived biochar mitigates pesticide toxicity in earthworms: Evidence from multi-biomarker responses - Sasidharan Nair Sruthi; Eswara Venkatesaperumal Ramasamy; Mohanachandran Nair Shyleshchandran (Applied Soil Ecology, 2026)

Organic phosphorus substitution restructures phoD-harboring microbiomes to enhance phosphorus bioavailability in acidic tea plantation soils - Yanyan Jiang; Zhidan Wu; Lingfei Ji; Xiangde Yang; Kang Ni; Lizhi Long; Chen Zhu; Xinping Chen; Jianyun Ruan (Applied Soil Ecology, 2026)

Beneficial fungi as major drivers of root fungal microbiome assembly and network robustness across a soil disturbance gradient - Saveria Mosca; Edda Francomano; Meriem Miyassa Aci; Nesma Zakaria Mohamed; Leonardo Schena; Antonino Malacrinò (Applied Soil Ecology, 2026)

Long-term co-contamination with arsenic and PAHs reshapes soil microbial interactions and functional allocation - Meng Zhou; Yanfei Wei; Wei Zhang; Chi Zhang; Xiangwu Yao; Baolan Hu (Applied Soil Ecology, 2026)

Unravelling interactions between entomopathogenic and plant-parasitic nematodes: insights from two-choice experiments - Lucia Borràs; Rubén Blanco-Pérez; Jorge Dueñas-Hernani; Elisabet Vaquero; María del Mar González-Trujillo; Ralf-Udo Ehlers; Raquel Campos-Herrera (Applied Soil Ecology, 2026)

Soil microbial community composition and function are categorically distinct between urban forests and lawns across a reforestation chronosequence - Ernest D. Osburn; Meaghan I. Petix; Cooper Correa; Cooper Samuelson; Kenton Sena (Applied Soil Ecology, 2026)

Rhizosphere prokaryotic microbiota of aquaponic systems (Oreochromis niloticus-Solanum lycopersicum L.) comprises bacterial and archaeal lineages involved in nitrogen metabolism - Mayra Yadira Aguilar-Ramírez; Juan Carlos Rodríguez-Ortiz; Paola Elizabeth Diaz-Flores; Mauricio Jesús Romero-Méndez; Delia Xóchil Vega-Manriquez; Ángel Gabriel Alpuche-Solís; José Pablo Lara-Ávila (Applied Soil Ecology, 2026)

Which soil health indicators best track diversification benefits in tropical agroecosystems? - Anna M. Visscher; Simon Fonteyne; Mirjam Pulleman; Anna Alekseeva; Martin Hartmann; Jose M. Rodriguez-Castellanos; Pankaj Trivedi; Rodolfo Vilchis-Ramos; Sergio Zapata-Martínez; Bruce G. Ferguson; Helda Morales; Steven Vanek; et al. (Applied Soil Ecology, 2026)

Treated wastewater irrigation reshapes rhizosphere microbial communities through salinity-driven soil changes - Lin Wang; Caroline de Tender; Lisa Joos; Tim De Cuypere; Bert Everaert; Sarah Ommeslag; Jane Debode; Sarah Garré; Wim Cornelis (Applied Soil Ecology, 2026)

Fungal-mediated microbial carbon pump drives synergistic carbon sequestration in reclaimed soils amended with humic acid and straw - Zhe Li; Xiujie Wang; Changjiang Li; Jiawei Sun; Zhenqi Hu (Applied Soil Ecology, 2026)

SMART-Soil: Satellite-based machine learning approach for reliable tracking of soil moisture across CONUS - Seyed Babak Haji Seyed Asadollah; Antonio Jodar-Abellan; Miguel Ángel Pardo (Applied Soil Ecology, 2026)

Compost Tea for plant disease suppression: Towards a predictive framework for reliable efficacy - Ayoub Idbella; Mohamed Idbella; Rafik Saddik; Zakaria Hazzoumi; Virginia Lanzotti; Giuliano Bonanomi (Applied Soil Ecology, 2026)

Coupled metabolomics and digital pathology to elucidate mechanistic pathways in earthworm (Eisenia fetida) exposed to environmentally relevant lithium - Noman Shakoor; Muhammad Adeel; Imran Azeem; Samama Tariq; Melanie Kah; Buana Suefo; Yukui Rui (Applied Soil Ecology, 2026)

Asynchronous recovery of microbial and functional stability in reclaimed homestead soils: A microbial network and nitrogen cycling perspective - Xian Zhou; Haoran Yang; Xiang Yuan; Pengfei Li; Xiangrui Du; Fulian Chen; Jian Wang (Applied Soil Ecology, 2026)

Microbial regulation of nutrient cycling potential and soil amelioration after Morchella cultivation in saline-alkali soils of Ningxia - Yifan Wu; Xiaoli Yang; Yaya Zhang; Chunyan Xu (Applied Soil Ecology, 2026)

Threshold-driven reassembly of soil nematode communities under long-term nitrogen addition in alkaline forest soils - Runfeng Xu; Xiyu Yang; Hongyi Liu; Yiqing Xu; Ziqi Shen; Xiaoming Zou; Guobing Wang; Honghua Ruan (Applied Soil Ecology, 2026)

Soil nematode community dynamics and drivers along a 30-year post-fire chronosequence in subtropical mixed evergreen-deciduous broadleaf forests - Wenjie Zhang; Jingwei Guo; Hanbing Xiao; Jiaye Wan; Mufan Lv; Zitong Zhang; Cancan Zhao; Yinzhan Liu (Applied Soil Ecology, 2026)

Life, death, and microbes: The role of land use and environmental gradients in soil microbial carbon dynamics - Dmytro Monoshyn; Marion Mittmannsgruber; Rajasekaran Murugan; Erich Inselsbacher; Edith Gruber; Elisabeth Wiedenegger; Johann G. Zaller (Applied Soil Ecology, 2026)

Integrating aquatic crops into rotation systems enhances soil health and suppresses potential fungal pathogens in greenhouse cucumber production - Jun Xu; Zhuoya Zhao; Liu Pan; Yuan Yao; Zhi Li; Yurui Wang; Yanfeng Li; Xuehao Chen (Applied Soil Ecology, 2026)

Contrasting mineral–microbial pathways drive phosphorus bioavailability under moderate pH shifts in agricultural soils - Meng Qi; Rongyang Cui; Anqiang Chen; Xinmei Zhao; Ming Ni; Zhiwu Li; Hui Yan; Chi Wang; Bin Fu (Applied Soil Ecology, 2026)

Enhancing vineyard soil mycorrhizal properties and grape and wine phenolic profiles through microbial inoculation and interrow green cover - Gergely Ujvári; Agnese Bellabarba; Silvia Mangani; Matteo Daghio; Viola Galli; Lisa Granchi; Monica Agnolucci; Alessandra Turrini; Luciano Avio; Giacomo Buscioni; Manuela Giovannetti; Simona Guerrini; et al. (Applied Soil Ecology, 2026)

Editorial Board (Advances in Water Resources, 2026)

Darcy–Stokes analytical solution for the flow field through a groundwater monitoring well - Davide Furlanetto (Advances in Water Resources, 2026)

Physically consistent modelling of the flow resistance across the laminar-turbulent transition allows for efficient computation of zero-inertia overland flow - Karl Kästner; Daniel Caviedes-Voullième (Advances in Water Resources, 2026)

Study on the influence of grain-size distribution coefficient on particle motion in porous media at pore scale - Xixiang Li; Ziyang Wang; Zifeng Chang; Lijian Huang; Yanfeng Gong; Liping Chen; Congling Yuan (Advances in Water Resources, 2026)

Prediction of high-resolution dynamic spatial data using U-Net and diffusive-time-of-flight - Yeongju Kim; Youjun Lee; Daein Jeong; Jonghyun Lee; Michael J. King; Hoonyoung Jeong (Advances in Water Resources, 2026)

Backward Hausdorff fractal-derivative modeling for pollutant source identification in anomalous transport - HongGuang Sun; Feng Zhang; Yong Zhang; Tomasz Blaszczyk (Advances in Water Resources, 2026)

When is resolution enough? Voxel-size effects on pore properties and single-phase permeability in Berea sandstone - Rail Kadyrov; Timur Zakirov (Advances in Water Resources, 2026)

Salinity-induced stratification impacts tides in estuaries - R.W.A. Siemes; S.J.M.H. Hulscher (Advances in Water Resources, 2026)

Surface-film transport controls wettability alteration during low-salinity water flooding - Senyou An; Chengkai Wang; Hassan Mahani; Vahid Niasar (Advances in Water Resources, 2026)

Unsaturated seepage below geomembrane with holed wrinkles affecting landfill composite liners for groundwater protection - Duoji Zerenduoji; Yan Yu (Advances in Water Resources, 2026)

Exploring uncertainty propagation in coupled hydrologic and hydrodynamic systems via distribution-agnostic state space analysis - Mohamad H. Kazma; Ahmad F. Taha (Advances in Water Resources, 2026)

Effects of vegetation location along a sloping beach on solitary wave attenuation, breaking dynamics, and run-up - Jeonghu Lee (Advances in Water Resources, 2026)

Analytical modeling of well-test responses in fractured reservoirs incorporating gravity drainage and matrix–fracture transfer - Mahdi Abbasi; Mohammad Sharifi (Advances in Water Resources, 2026)

A scalable framework for synthesizing conditional porous media images using diffusion and GAN models - Atheer Dheyauldeen; Ying Da Wang; Kunning Tang; Ryan T. Armstrong; Peyman Mostaghimi (Advances in Water Resources, 2026)

Stochastic fracture generation and thermo-hydro-mechanical modeling in an equivalent continuum framework for enhanced geothermal systems - Hannah S. Gatz-Miller; Thomas S. Lowry; Jennifer M. Frederick (Advances in Water Resources, 2026)

Efficient approach to uncertainty quantification for emergency well planning under data scarcity - Shang-Ying Chen; Kuo-Chin Hsu; Chien-Chung Ke; Nai-Chin Chen; Daniel M. Tartakovsky (Advances in Water Resources, 2026)

Comparing time series in hydrogeology using optimal transport - Robin Voland; Philippe Renard (Advances in Water Resources, 2026)

Exploring the effect of river spatial variability on SWOT discharge accuracy - Yushan Zhang; Michael Durand; Steve P. Coss; Renato Prata de Moraes Frasson; Elizabeth M. Prior; Colin J. Gleason (Advances in Water Resources, 2026)

Diagnosing apparent hydraulic memory in pressurized slug tests with a lagging theory framework - Ying-Fan Lin; Li-Chen Cheng (Advances in Water Resources, 2026)

Transient fractional Brinkman–Forchheimer flow in fractures with porous infill and prescribed shear-induced aperture changes: A robust numerical framework and transmissivity implications - Mumtaz Khan; M.S. Anwar; Sharifah E. Alhazmi; Taseer Muhammad (Advances in Water Resources, 2026)

Quantum computing for modeling fluid flow in subsurface environments - Sowndarya Krishnan Navaneetha Kannan; Serveh Kamrava (Advances in Water Resources, 2026)

Role of fluid-fluid interfacial topology in the transport of hydrophobic nanoparticles in partially saturated porous media - Youssra Rahham; Marios A. Ioannidis (Advances in Water Resources, 2026)

Hot-spot index: A general framework for quantifying reactive hotspots - Saif Farhat; Diogo Bolster; Ilenia Battiato (Advances in Water Resources, 2026)

Simulation of saturated-unsaturated seepage flows using the mimetic finite difference method with cell-based equivalent hydraulic conductivity - Jiayu Fang; Mohammad Z. Al-Hamdan; Yaoxin Zhang; Xiaobo Chao (Advances in Water Resources, 2026)

A two-dimensional GPU-based model for multi-layer solute transport in shallow water flow with arbitrary mesh topology - L. Sicard; S. Martínez-Aranda; P. García-Navarro (Advances in Water Resources, 2026)

Decoupling transport and reactions in reactive transport simulations - Jordi Petchamé-Guerrero; Jesus Carrera; Jingjing Wang; Chunmiao Zheng (Advances in Water Resources, 2026)

Pore-scale insights into the impact of microporosity on the performance of underground hydrogen storage - Mansour Nazari; Hassan Mahani (Advances in Water Resources, 2026)

Aquaculture Systems Affect the Impact of Probiotics, Prebiotics, and Synbiotics on Growth and Immunity of Oreochromis niloticus : A Systematic Review and Meta‐Analysis - Diego Cardenas Laverde; Ruth Yolanda Ruiz Pardo; Luisa Marcela Villamil Diaz (Reviews in Aquaculture, 2026)
Tilapia ( Oreochromis niloticus ) aquaculture is expanding worldwide, yet disease, environmental variability, and the need for sustainable production remain major challenges. Biotics, including probiotics, prebiotics, and synbiotics, have been explored to enhance growth and immunity, but their effectiveness across aquaculture systems is not fully understood. This systematic review and meta‐analysis examined 141 studies, including 96 with quantitative data, to identify consistent biological responses of different biotics. Probiotics were the most studied and consistently effective additives, improving weight gain, feed conversion ratio, and immune performance across diverse production environments. Synbiotics and prebiotics provided additional benefits, though less consistently. Synbiotics sometimes produced larger effects with higher variability, while prebiotics showed moderate average effects; however, the small number of available studies, substrate heterogeneity, and wide uncertainty limited confidence in their reproducibility. Immunological and biochemical analyses revealed increased lysozyme, superoxide dismutase, and catalase activities, along with reduced alanine transferase, supporting enhanced antioxidant and hepatoprotective capacity. Production system emerged as an important source of heterogeneity across studies, with closed systems displaying more consistent growth‐related responses than open systems, suggesting that the biological effects of probiotics may be system dependent. Overall, probiotics represent the most widely used and reliable strategy to enhance tilapia health and performance, while closed systems appear to provide more stable conditions for growth‐related responses. However, further research using transcriptomic approaches, such as RNA sequencing, is needed to clarify the molecular mechanisms underlying system‐dependent responses.

Environmental influences on terminal migration behaviour of Chinook salmon in Cowichan Bay, British Columbia - Kelsie A. Murchy; William D.P. Duguid; Jamieson B. Atkinson; Jessica Qualley; Katie G. Innes; Hailey L. Davies; Bridget Maher; Francis Juanes (Fisheries Research, 2026)

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)

The environmental biology of the tenpounder Elops machnata (Fabricius, 1775) in global estuarine and coastal marine ecosystems - Alan K. Whitfield (Environmental Biology of Fishes, 2026)

Status of insecticide resistance and detoxification enzymes activity in pink bollworm, Pectinophora gossypiella (Saunders) populations from India - K. Srilekha; A. G. Sreenivas; Jaba Jagdish; Pramod Katti; S. G. Hanchinal; Y. S. Amaresh; M. Lakshmikanth; Sujit Kumbhare; Pooja Verma; Vivek Shah; G. T. Behere; Y. G. Prasad; et al. (Ecotoxicology, 2026)

Assessment of neurotoxicity and oxidative stress induced by environmentally persistent pharmaceutical pollutants - Bharathi Kumar; Sudharsan Parthasarathy; Kandiban Nagaraj; Siva Vijayakumar Tharumasivam; Na’il Saleh; Achiraman Shanmugam (Ecotoxicology, 2026)

Trace element mobility and mineral-scale redistribution during retrograde metamorphism of lawsonite-bearing high-pressure rocks from Elekdağ, Turkey - Yu-Lu Tian; Jia-Min Wang; Gültekin Topuz; Aral I. Okay; Tong Liu (Contributions to Mineralogy and Petrology, 2026)

Should I stay or should I go? Frog breeding responses to drought events and alien predators - Martina Muraro; Elia Lo Parrino; Marco Carapellese; Andrea Melotto; Raoul Manenti; Gentile Francesco Ficetola; Mattia Falaschi (Climatic Change, 2026)
Climate change is a major driver of biodiversity loss worldwide, increasingly acting through extreme climatic events such as droughts. Beyond their direct impacts on habitat availability, droughts can also generate indirect effects by altering ecological interactions, such as predator–prey dynamics. Despite growing interest, most studies focus on single species and/or are based on short-term datasets, making it difficult to discriminate between ongoing ecological processes and interannual variability. We investigated the direct and indirect effects of drought on reproductive responses in two ecologically distinct frog species ( Rana dalmatina and Rana latastei ), focusing on the choice to skip reproduction or relocate breeding activity. Using nine years of monitoring data, we examined how drought-driven breeding site loss interacts with landscapes dominated by invasive alien predators. Our findings reveal starkly different strategic responses between the two species. Rana dalmatina was more strongly affected by the direct effects of drought, as the loss of temporary breeding sites reduced reproductive activity, forcing individuals to adopt a breeding skipping strategy. In contrast, Rana latastei relied mainly on permanent waterbodies and was less sensitive to site desiccation, exploiting stable habitats even though this choice resulted in persistent exposure to invasive predators. Furthermore, R. dalmatina , females actively avoided fish-invaded sites, whereas in R. latastei the positive association with the invasive crayfish Procambarus clarkii likely reflected shared preferences for permanent waterbodies. These findings show that droughts affect amphibian reproduction through interacting direct and indirect mechanisms, with species-specific ecological traits determining whether species undergo habitat loss or severe predator exposure.

Does groundwater irrigation reduce the adverse impact of climate change on agricultural production? Empirical evidence from India - Aryama Sarkar; Sabuj Kumar Mandal (Climatic Change, 2026)

Moving the needle on sea level rise policy: a case study from the state of Hawaiʻi - Ketty Loeb (Climatic Change, 2026)

Influence of spring Bering-Okhotsk sea ice on boreal summer intraseasonal oscillation over equatorial central Pacific - Puyu Liu; Yao Ha; Yimin Zhu; Sen Gu; Tianju Wang; Haixia Dai; Yijia Hu; Zhong Zhong (Climate Dynamics, 2026)

Predictability of Chile El Niño: insights from a low-order modeling approach - Eduardo Martínez; Cristian Martinez-Villalobos; Boris Dewitte (Climate Dynamics, 2026)

Contrasting influences of canonical El Niño and El Niño Modoki on extreme wet-day precipitation across East Africa - Daudi Ndabagenga; Mohamed Mwabumba; Abubakar Sadiq Tanimu; Phinous Okoth; Justus Mbawala; Godfrey Assenga; Masoud Chabaga; Conteh Moneh; Fabien Habiyakare; Ebaju Gerverse Kamukama (Climate Dynamics, 2026)

Antiphase Atlantic–Pacific covariability in tropical cyclone accumulated energy associated with AMO and ENSO, with no detected trend in the global total, 1980–2025 - Desmond Manatsa; Terence Mushore (Climate Dynamics, 2026)

European snow cover in the EURO-CORDEX regional climate model ensemble: model evaluation - Christian R. Steger; Katharina Bülow; Claas Teichmann; Sven Kotlarski (Climate Dynamics, 2026)
The EURO-CORDEX initiative provides a comprehensive set of regional climate simulations for the present and future European climate. We assess how well snow cover, a crucial component of the climate system, is represented in this model ensemble. We consider output from 11 regional climate models (RCMs) at 12 km resolution, driven by ERA-Interim and 10 different general circulation models, and compare it with model- and remote-sensing-based reference data sets for the periods 1990–2008 and 1985–2008, respectively. Elevation-resolved evaluations for four mountainous regions indicate that for mean winter snow water equivalent (SWE), the reanalysis-driven RCM ensemble mean agrees well with reference data. However, model spread becomes substantial (ca. ± 50%) at the highest elevations of the regions. For the number of snow-covered days (SCD), the agreement of individual models with reference data is generally better. With GCM-forcing, simulated mean winter SWE and SCD biases are typically larger in all regions except for Scandinavia. Part of this bias can likely be attributed to an overestimation of winter precipitation in the RCM runs. The analysis also reveals that some models indicate perennial snow accumulation at much lower elevations than suggested by proxy data. This bias is likely related to inaccuracies in atmospheric forcing (aforementioned precipitation biases) and shortcomings in the representation of snow cover in the RCMs. Overall, and after spatial masking of spurious grid cells, both the reanalysis-driven and the GCM-driven EURO-CORDEX 12 km ensemble are able to represent the main spatio-temporal characteristics of European snow coverage. The future changes in snow cover characteristics will be the subject of a follow-up study.

Estimating present temperature climate in a warming world: probabilistic verification of a model-based approach for years 2008–2025 - Jouni Räisänen; Mika Rantanen; Antti Toropainen (Climate Dynamics, 2026)
When climate changes, statistics derived from past observations become unrepresentative of the true present climate. In 2008, Räisänen and Ruokolainen proposed a method for alleviating this bias, combining global mean temperature change with model-based regression coefficients that translate the global warming to changes in local mean temperature and temperature variability. Here, the fidelity of this method in predicting the probability distributions of monthly mean temperatures is evaluated, focusing on the 18 years 2008–2025 that post-date the original study. Compared with the traditional approach in which the distributions are estimated directly from observations, a major improvement is found in both the continuous ranked probability score ( CRPS ) and the logarithmic score ( L ). The rank histograms that describe the positions of the verifying observations within the predicted distributions also become far more balanced. In addition, the optimal length of the baseline period from which observations are used increases when the observed temperatures are adjusted for climate change. The verification statistics are further improved when augmenting the model-based climate change estimates with information from local observed temperature trends. Both CRPS and L are degraded when the t -distributions fitted to the climate-change-adjusted observations are replaced with more flexible Stochastically Generated Skewed distributions, but an objective blend between the two distributions yields statistics slightly better than those for the t -distribution.

Projections of tropical cyclones and their formation regions in CMIP6 climate models - Krishneel K. Sharma; Kevin Tory; Savin S. Chand; Suzana J. Camargo; Hamish Ramsay; Soubhik Biswas; Sarvesh Kumar (Climate Dynamics, 2026)
This study evaluates changes in tropical cyclone (TC) characteristics under different future emissions scenarios in a large set of climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Okubo–Weiss–Zeta parameter (OWZP) TC detection method is used to identify large-scale conditions conducive to TC formation. By comparing TC detections from CMIP6 historical simulations (1984–2014) with projections for the end of the twenty-first century (2070–2100) under three shared socioeconomic pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5), we assessed the changes in TC frequency and associated formation regions. TC formation regions during the mid-summer cyclone season of each TC basin were also analysed across the three pathways. Among the 19 CMIP6 models assessed, 12 models are found to simulate TC frequency ( i.e. , the mean annual totals within ± 50% of actual observations) and geographical distribution reasonably well. The remaining seven models captured only 19–27% of the observed TC numbers. For all the emission scenarios, most of the models with reliable TC climatology show a decline in global TC frequency. For SSP5-8.5 scenario, all 12 models project a global decrease with reductions ranging from 6 to 19%. In the SSP3-7.0 scenario, eight of the 14 models show global declines ranging from 1% to 42%, while nine out of 12 models under SSP1-2.6 scenario project global reductions from 2% to 12%. Notable variability in the magnitude and direction of changes is observed among models and basins, especially in the Northern Hemisphere. Analysis of TC formation regions indicates slight poleward expansion in the northwestern Pacific and a longitudinal expansion of the eastern North Pacific basin toward the central Pacific. There is also potential for latitudinal narrowing of TC formation regions in the South Indian and southwest Pacific basins across all scenarios. These results are consistent with those from earlier-generation climate models, improving the robustness of projections for a global reduction in TC frequency.

Interdecadal intensification of late-spring precipitation over the Hengduan Mountains since the late 1990s - Meiying Zheng; Huizhi Liu; Shengyuan Liu; Haoran Li; Xiaoyang Liu; Lijun Xie; Guotao Zhang; Ting Yang; Fei Wang; Yunhao Gu; Junjie Zhao; Shuo He (Climate Dynamics, 2026)

Projections of the timing of extreme temperature events in the future, China - Xiangming Xu; Yan Wu; Yawen Yang; Dan Li; Chuchu Zhang; Ping Zhou; Zexiang Li; Liangqing Wu; Keyuan Zhong (Climate Dynamics, 2026)

Combined influences of the quasi-biennial oscillation and stratospheric polar vortex on East Asian winter precipitation - Guolong Zhang; Shupeng Jiang; Boyan Chen; Xinglin Bao; Jiang Qin; Ruhua Zhang (Climate Dynamics, 2026)

“I never thought to bring them up to the doctor”: examining symptom appraisal, help-seeking behaviors, and diagnostic delays among young adults with cancer - Natasha C. Allard; Elizabeth G. Bouchard; Jennifer S. Ford; Thomas Hugh Feeley; Denise Rokitka; Heather Orom (Cancer Causes & Control, 2026)
Purpose Cancer incidence is rising among young adults (20–39 years), and it is one of the top five causes of death for this age group. Young adults often experience longer delays in diagnosis than children and older adults, which negatively impacts survival and quality of life. Communication interventions might help reduce these delays, but understanding the factors driving delays is crucial for developing effective strategies. Methods We conducted semi-structured interviews with 30 young adults diagnosed with cancer to explore factors contributing to delays across three intervals: symptom appraisal, help-seeking, and diagnostic. Interviews were conducted in January and February 2023 and analyzed using template analysis by three independent coders. Results Most young adults misattributed symptoms to stress, lifestyle, or minor issues, and thus delayed seeking medical evaluation. Many used online information to inform care-seeking decisions but encountered content that minimized symptom severity or offered unclear guidance. Upon seeking care, several young adults had to self-advocate for diagnostic testing after providers initially dismissed their concerns. Conclusion These patterns highlight potentially modifiable targets for future communication interventions. Strategies to improve young adults’ awareness of potential cancer symptoms, address misconceptions about cancer risk, and promote timely care-seeking are warranted. Efforts should also focus on improving the quality of online symptom information and equipping young adults with tools to communicate more effectively with providers. While systemic changes are also needed, individual-level communication campaigns could help shorten time to diagnosis and improve outcomes for young adults with cancer.