{"title":"Beyond Co-Occurrence: Multi-Scale Evidence for Segregation-Dominated Plant Networks in the French Alps.","authors":"Matthias Rohr, Alexandre Wendling, Tamara Münkemüller, Dominique Gravel, Clovis Galiez, Julien Renaud, Orchamp Consortium, Wilfried Thuiller","doi":"10.1111/ele.70393","DOIUrl":"https://doi.org/10.1111/ele.70393","url":null,"abstract":"<p><p>Understanding how plants influence each other's spatial distribution is pivotal not only for interpreting current communities, but also for anticipating their responses to global changes. The combination of high-resolution, multi-scale sampling and novel statistical frameworks now enables us to identify species aggregations and segregations within their local co-occurrences. By applying this approach to approximately 800 plant species and their communities across the French Alps, we discovered that local species associations are dependent on soil acidity and nitrogen rather than climate. By building a regional network from these associations, we identified a centralised core comprising a few dominant, stress-tolerant graminoids and shrubs with high leaf dry matter content and no unique functional roles. Our findings demonstrate that plant community assembly is less dependent on random co-occurrence and more dependent on segregation around a few dominant, stress-tolerant species, with soil conditions modulating the outcome of local associations.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 5","pages":"e70393"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13135133/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meng Liu, Steven A Kannenberg, Josep Peñuelas, William R L Anderegg
{"title":"A Global Comparison of Direct and Legacy Effects of Drought on Ecosystem Productivity.","authors":"Meng Liu, Steven A Kannenberg, Josep Peñuelas, William R L Anderegg","doi":"10.1111/ele.70390","DOIUrl":"10.1111/ele.70390","url":null,"abstract":"<p><p>Terrestrial ecosystems serve as a major carbon (C) sink, but the increasing frequency and intensity of drought threaten the C sink and ecological communities. A comprehensive understanding of the change in ecosystem productivity due to the direct effect versus the legacy effect of drought is still lacking. We quantify the magnitude change in terrestrial gross primary production (GPP) globally due to both direct and long-term legacy effects. We find that the direct effect causes significant GPP decreases in magnitude of -5.94% [-13.40%, -3.21%] per year, while the legacy effect-induced GPP change is weaker and non-significant at a global scale. Drought legacy effects, however, are detectable in dry sub-humid regions. The direct effect-induced change is highly correlated with that of the legacy effect, and rooting depth is a key driver for both. These findings demonstrate the current resilience of global ecosystems to drought but underscore the long-term vulnerability of dryland ecosystems.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 5","pages":"e70390"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13136783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dustin J Marshall, Hayley E Cameron, Akira Abe, Suzana Goncalves Leles, Craig R White, John Delong
{"title":"Drivers and Consequences of Size Declines in Unicells.","authors":"Dustin J Marshall, Hayley E Cameron, Akira Abe, Suzana Goncalves Leles, Craig R White, John Delong","doi":"10.1111/ele.70387","DOIUrl":"10.1111/ele.70387","url":null,"abstract":"<p><p>The communities of unicellular microbes (bacteria, protists and yeasts) that underpin ecosystems are changing. In warmer conditions, protists tend to shrink, but the consequences of these changes in size are unclear. We show preliminary evidence that warming-mediated declines in cell size observed in protists also apply to bacteria and yeasts. Predicting the consequences of these warming-mediated size declines requires that the relationships between cell size and key functional traits are well-characterised. We show that the critical relationship between unicellular size and energy use-that is, metabolic scaling-has been systematically mis-estimated in the past. Projections of the effects of warming on unicellular respiration change from superlinear to sublinear once the metabolic scaling relationship is updated, with worrying consequences for the biological carbon pump and other ecosystem services. Other size-function scaling relationships (e.g., photosynthesis) are likely to have been similarly mis-estimated. Next, we show that theory on the relationships between size, temperature and demography is more ambivalent than previously recognised, leaving uncertainty as to how warming will alter the dynamics of unicellular populations. Finally, we identify pathways for improving our capacity to predict future changes in unicellular size, and decrease the uncertainty surrounding the consequences of these changes.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 5","pages":"e70387"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13146120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147831317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yongning Li, George L W Perry, Mahajabeen Padamsee, Shixiao Yu
{"title":"Native-Alien Dichotomy in Pathogen Genomics: Host Specialization Versus Environmental Decoupling.","authors":"Yongning Li, George L W Perry, Mahajabeen Padamsee, Shixiao Yu","doi":"10.1111/ele.70394","DOIUrl":"https://doi.org/10.1111/ele.70394","url":null,"abstract":"<p><p>Genome size is a key genomic trait underpinning evolutionary potential and ecological adaptation in pathogens, yet its biogeographic patterns remain poorly understood. From New Zealand data, we quantify the influence of host traits versus environmental factors on biogeographic patterns of genome size in pathogenic fungi, and test whether these predictors differ between native and alien pathogens. Host plants were the strongest predictors of genome size, with effects particularly pronounced in Basidiomycota and biotrophic fungi. Within co-origin host-pathogen pairs (native-native; alien-alien), conservative host traits were associated with smaller pathogen genomes overall, but with larger genomes in Basidiomycota. Host effects were stronger in native pathogens, while environmental filtering diverged, with climate dominating in native pathogens and terrain-related factors in alien pathogens. Native pathogens exhibited pronounced geographic genomic differentiation, whereas alien pathogens showed spatial homogenization. These results reveal a hierarchical framework that enhances predictions of disease dynamics under global environmental change.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 5","pages":"e70394"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147831331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ibuki Hayashi, Martina Sánchez-Pinillos, Hirokazu Toju
{"title":"Stochastic Forces in Microbial Community Assembly: Founding Community Size Governs Divergent Ecological Trajectories.","authors":"Ibuki Hayashi, Martina Sánchez-Pinillos, Hirokazu Toju","doi":"10.1111/ele.70388","DOIUrl":"10.1111/ele.70388","url":null,"abstract":"<p><p>Biological community dynamics arise from both deterministic and stochastic processes. While species' responses to environmental factors define attractors of community structure, stochasticity, particularly during early assembly, can redirect ecological trajectories. However, quantifying such roles of stochasticity in community assembly has remained challenging. We tracked community assembly in two multi-replicated experimental systems, each with four levels of founding community size, analysing > 3000 samples across four time points. Stronger initial stochasticity led to greater divergence of both population- and community-level consequences. Strikingly, conspicuous differentiation into alternative trajectories of community assembly occurred when the absolute number of founding prokaryotic cells was less than the order of 10<sup>4</sup>. Thus, quantitative differences in stochasticity produced qualitative differences in community fate. These results demonstrate that early stochastic events can have enduring impacts on ecological dynamics. Deeper quantitative insights into stochasticity will reorganise our views on biological invasions, agroecosystem microbiome management, and therapeutics of human-associated microbiomes.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 5","pages":"e70388"},"PeriodicalIF":7.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13136789/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147809000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ismaël Lajaaiti, Sonia Kéfi, Michel Loreau, Alice Ardichvili, Jean‐François Arnoldi
{"title":"Linking Biotic Interactions to Species Stability","authors":"Ismaël Lajaaiti, Sonia Kéfi, Michel Loreau, Alice Ardichvili, Jean‐François Arnoldi","doi":"10.1111/ele.70385","DOIUrl":"https://doi.org/10.1111/ele.70385","url":null,"abstract":"Ecological communities are typically composed of many species, each interacting with many others. This complexity makes it difficult to predict their responses to disturbances. Here a mathematical analysis of ecological models reveals a surprisingly simple principle: species responses to diverse disturbances can be predicted by a single metric: self‐regulation loss (SL). SL quantifies the extent to which self‐regulation effectively weighs on species population dynamics and is a collective outcome of biotic interactions. In simulated communities, SL accurately predicts species responses to pulse and press disturbances. On data from protist community experiments, SL successfully forecasts species responses to temperature changes. We therefore propose that, despite the complexity of ecological communities, species dynamics may still be governed by a simple organizing principle.","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"11 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147743782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration, Sensitivity and Uncertainty Analysis of Complex Ecological Models—A Review","authors":"Anne‐Kathleen Malchow, Florian Hartig","doi":"10.1111/ele.70375","DOIUrl":"https://doi.org/10.1111/ele.70375","url":null,"abstract":"Ecologists increasingly use complex models to predict and understand ecological systems and their responses to external drivers or anthropogenic pressures. An ongoing challenge in this context is quantifying and reducing uncertainty in model inputs, parameters and structure and understanding their implications for model predictions. Three major methodological fields have emerged in this context: sensitivity analysis, uncertainty analysis and model inversion or calibration. While these three methods are an integral part of any modelling or forecasting process, the corresponding literature is often scattered, and distinct terminology and definitions are used in different methodological and scientific contexts. Here, we review and connect these three fields and discuss best practices for their practical implementation with a focus on complex ecological models. We classify relevant types of uncertainty, discuss the complementary roles of sensitivity and uncertainty analyses, give an overview of available calibration methods and emphasize the importance of effective communication of uncertainty. We conclude that using state‐of‐the‐art methods for understanding model behaviour as well as consistently accounting for all uncertainties is essential for correctly understanding model predictions and thus forms the basis for a responsible use of models in ecological decision making.","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"40 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147743780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jane A. Catford, Laura J. Graham, Harry E. R. Shepherd, Cindy E. Hauser, Nicola T. Munro, Brendan A. Wintle, John G. Donohue, David Tilman, Adam T. Clark
{"title":"Multiple Mechanisms Required to Predict Grass Community Composition","authors":"Jane A. Catford, Laura J. Graham, Harry E. R. Shepherd, Cindy E. Hauser, Nicola T. Munro, Brendan A. Wintle, John G. Donohue, David Tilman, Adam T. Clark","doi":"10.1111/ele.70358","DOIUrl":"10.1111/ele.70358","url":null,"abstract":"<p>Accurate prediction of community assembly is a central goal in ecology but is challenging because assembly is governed by numerous mechanisms. Few theoretical models explicitly incorporate or test multiple mechanisms at once. We empirically tested the predictive performance of a plant community assembly model built using all possible combinations of four ‘mechanisms’ (soil resource competition, dispersal and colonisation, spatiotemporal niche differentiation, population growth rates) and 11 underlying ‘attributes’ based on measured traits (e.g., fecundity, phenology). The full model accurately predicted out-of-sample biomass observations of five grasses sown in mixture along a soil nitrogen gradient (overall <i>R</i><sup>2</sup> = 0.65). Alternative model variants, parameterised using subsets of the mechanisms and their nested attributes, still retained high explanatory power if the model included at least three of the four mechanisms. Our results suggest that plant community composition is determined by simultaneous effects of multiple mechanisms, and simpler theories have much lower predictive abilities.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 4","pages":""},"PeriodicalIF":7.9,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ele.70358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147663875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to ‘Individual-level trait responses in cyanobacterial populations and communities’","authors":"","doi":"10.1111/ele.70381","DOIUrl":"10.1111/ele.70381","url":null,"abstract":"<p>Louchart, A.P., Drost, A.M., Lin, C. et al. “Individual-level trait responses in cyanobacterial populations and communities.” <i>Ecology Letters</i> 29:e70348. https://doi.org/10.1111/ele.70348.</p><p>In the above article, the name of an author was incorrectly spelt in both references and in-text citations. The name ‘de Van Waal, D.B.’ should have read ‘Van de Waal, D.B’. Moreover, the journal, issue and page numbers for the reference Komárek and Komárková (2002) were missing.</p><p>The full reference should be ‘Komárek, J. and Komárková, J. 2002. Review of the European <i>Microcystis</i> morphospecies (Cyanoprokaryotes) from nature. <i>Czech Phycology</i> <b>2</b>: 1–24’.</p><p>We apologise for these errors.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 4","pages":""},"PeriodicalIF":7.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ele.70381","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147641506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua A. Ajowele, Ashley L. Darst, Nameer R. Baker, Rachael R. Brenneman, Caitlin Broderick, Seraina L. Cappelli, Maowei Liang, Mary Linabury, Matthew A. Nieland, Maya Parker-Smith, Smriti Pehim Limbu, Rosalie S. Terry, Moriah L. Young, Max Zaret, Marissa Zaricor
{"title":"Multiple Community Properties Drive Ecosystem Resistance and Resilience to Extreme Climate Events Across Mesic Grasslands","authors":"Joshua A. Ajowele, Ashley L. Darst, Nameer R. Baker, Rachael R. Brenneman, Caitlin Broderick, Seraina L. Cappelli, Maowei Liang, Mary Linabury, Matthew A. Nieland, Maya Parker-Smith, Smriti Pehim Limbu, Rosalie S. Terry, Moriah L. Young, Max Zaret, Marissa Zaricor","doi":"10.1111/ele.70380","DOIUrl":"10.1111/ele.70380","url":null,"abstract":"<p>Ecosystem resistance and resilience to extreme climate events is impacted by community properties, including biodiversity. However, the relative importance of species richness, evenness and dominance is debated and is further modulated by global change factors such as nutrient addition. Using nearly 40 years of data from naturally-assembled plant communities at three Long-Term Ecological Research sites, we found that while species richness is important for resistance to extreme dry events, dominance is important for resistance to extreme wet events and evenness is important for resilience under ambient (unfertilized) conditions. Furthermore, nutrient addition alters resistance and resilience indirectly by reducing species richness and increasing dominance. Species richness and dominance are also directly reduced by extreme climate events, which may erode resistance and resilience to future events. Our results show that species richness, dominance and evenness shape ecosystem stability under climate extremes and that fertilization fundamentally modifies biodiversity–stability relationships in mesic grasslands.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"29 4","pages":""},"PeriodicalIF":7.9,"publicationDate":"2026-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ele.70380","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147625645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}