{"title":"ANIS ‐E: An Atlas of Marine Non‐Indigenous Species in Europe","authors":"Clément Violet, Mathieu Chevalier, Amelia Curd, Frédérique Viard","doi":"10.1111/geb.70242","DOIUrl":"https://doi.org/10.1111/geb.70242","url":null,"abstract":"Motivation <jats:italic>Non‐Indigenous Species (NIS)</jats:italic> pose a major threat to global biodiversity and incur substantial environmental, economic and health costs. Yet, in marine ecosystems, invasion biogeography remains constrained by the limited availability of spatially explicit and consistently documented native range information, which is essential for identifying source regions and interpreting patterns of spread and establishment. In particular, there is no open, standardised resource that systematically links national and regional introduction reports with explicitly sourced native ranges across marine taxa. We developed <jats:italic>Atlas of marine Non‐Indigenous Species in Europe</jats:italic> ( <jats:italic>ANIS‐E)</jats:italic> , a publicly available database compiling introduction reports in European seas, with harmonised, spatially explicit native range assignments. We reason that this resource is a key tool for advancing the understanding of marine invasions and informing conservation efforts and policy decisions in Europe. Main Types of Variables Included <jats:italic>ANIS‐E</jats:italic> includes 6039 introduction reports, encompassing 2016 marine taxa across 18 European marine ecoregions. It provides information on taxonomic rank, identifiers from other databases (e.g., <jats:italic>WoRMS</jats:italic> , <jats:italic>BOLD</jats:italic> ), <jats:italic>NIS</jats:italic> or cryptogenic status, and reported introduction pathways. Native range information is available for 1530 taxa. Spatial Location and Grain Every known introduction report, based on published national <jats:italic>NIS</jats:italic> inventories, is recorded for the countries bordering European seas, while the native ranges of the introduced species extend across the globe. All spatial data are collated into marine ecoregions using the <jats:italic>Marine Ecoregions of the World</jats:italic> ( <jats:italic>MEOW)</jats:italic> classification. Time Period and Grain Introduction reports are recorded from 1700 to 2024. Major Taxa and Level of Measurement Marine taxa are identified to the species level or below in rank, spanning six kingdoms plus viruses and encompassing 34 phyla. Software Format The database is available in ‘.csv’ format. A user‐friendly interface providing access to the same data, powered by an R <jats:italic>Shiny app</jats:italic> included in an R package, is also available.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"6 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147751756","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}
Jennifer S. Bigman, Lewis A. K. Barnett, James T. Thorson, Sean C. Anderson, Krista B. Oke, Kelly A. Kearney, Darren J. Pilcher, Wei Cheng, Esther D. Goldstein, Mary E. Matta, Kirstin K. Holsman, Lauren A. Rogers
{"title":"Changes in Body Size With Age Do Not Follow the Temperature‐Size Rule","authors":"Jennifer S. Bigman, Lewis A. K. Barnett, James T. Thorson, Sean C. Anderson, Krista B. Oke, Kelly A. Kearney, Darren J. Pilcher, Wei Cheng, Esther D. Goldstein, Mary E. Matta, Kirstin K. Holsman, Lauren A. Rogers","doi":"10.1111/geb.70238","DOIUrl":"https://doi.org/10.1111/geb.70238","url":null,"abstract":"Aim The temperature‐size rule is often described as a reduction in ectothermic asymptotic or maximum body size with warming. Although this coincides with the expectation that faster growth under warming would lead to larger sizes early in life but smaller sizes later in life, there remain few tests of changes in size across ontogeny. Here, we use > 99,000 observations of weight‐at‐age of commercially important fishes over 25 years to ask whether changes in size across ontogeny can be explained by temperature. We also examine whether oxygen, a key part of a proposed mechanism behind the temperature‐size rule, explains patterns of weight‐at‐age better than temperature. Understanding how temperature and oxygen affect size across age offers a test of macroecological theory and can inform the future productivity of fisheries. Location Bering Sea, largest subarctic system (Latitude: 52° N–66° N, Longitude: 160° E–170° W). Time Period 1987–2023. Major Taxa Studied Commercially important fishes. Methods We coupled fisheries‐independent survey data and climate model output with spatiotemporal generalised linear mixed‐effects models, a novel framework for testing the temperature‐size rule. These models account for uneven sampling across space and time to assess long‐term trends, as well as the effects of temperature and oxygen on size across age. We additionally explore the effect of model structure on our results by comparing functional forms and how spatial and/or spatiotemporal random effects are included. Results Weight‐at‐age was variable over time for all species with no long‐term trend. Temperature better explained this variability than oxygen, but effects were small and not age‐specific, counter to the temperature‐size rule. Our results were sensitive to model structure as models with shared spatial effects across ages appeared to support temperature‐size rule predictions, but this support reflected spatial autocorrelation in size rather than age‐specific temperature responses. Collectively, this work shows that support for the temperature‐size rule in these fishes was an artifact of spatial patterns in size and growth. Main Conclusions Our work tests macroecological theory using nearly complete body size trajectories to understand not only changes in adult stages but how size changes across age. We highlight that relationships among size, growth, temperature, and oxygen are not as straightforward as theory suggests and illustrate that modelling decisions can have a large effect on tests of ecological theory, and more broadly, our ability to understand biological responses to climate change.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"152 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147751761","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}
Brigit Rooney, Roland Kays, Michael V. Cove, Alex Jensen, Daniel J. Herrera, Camilla Price, Phuong‐Thao Nguyen‐Nu, Katrina Adamczyk, Peter D. Alexander, David Allen, Jesse M. Alston, Diego F. Alvarado‐Serrano, Thomas L. Anderson, Cara L. Appel, Scott M. Appleby, Anne C. Axel, Christopher R. Ayers, Nicholas W. Bakner, Dylan L. Bakner, Griffin Bandler, Luke Banta, Erin E. Barding, Carolina Baruzzi, William T. Bean, Silas C. Beers, Jerrold L. Belant, John F. Benson, Anna Berg, Dylan L. Bergman, Meagan A. Bethel, Tori Bird, Michael T. Booth, Aaron J. Bossert, LaRoy S. E. Brandt, Levin C. Brandt, Zeuk Brown, Erin K. Buchholtz, Richard Buchholz, Frances E. Buderman, Kathleen A. Carey, Michael B. Carpenter, Kellie Carter, Ivan Castro‐Arellano, Michael Chamberlain, Amanda E. Cheeseman, Michael D. Cheng, Cary D. Chevalier, M. Colter Chitwood, Petros Chrysafis, Bradley S. Cohen, Isabella R. Collamati, D. Parks Collins, Justin A. Compton, L. Mike Conner, Brianna Cook, Olivia Cosby, Anthony P. Crupi, Andrea K. Darracq, Jon M. Davenport, Drew R. Davis, Miranda L. Davis, Noé U. de la Sancha, Brett A. DeGregorio, Anant Deshwal, Art Drauglis, Jonathan E. Dudko, Jennifer M. Duggan, Andrew J. Edelman, Valerie Elder, Kendall Eldredge, E. Hance Ellington, Susan N. Ellis‐Felege, Caroline N. Ellison, John Erb, Alexa Fairchild, Keilani Fang, Jean Fantle‐Lepczyk, Michael Fargione, Zach J. Farris, Zoë Fassett‐Manuszewski, Alexander M. Ferentinos, Adam W. Ferguson, M. Caitlin Fisher‐Reid, Elizabeth A. Flaherty, Jared Franklin, Sarah R. Fritts, Brel Froebe, Jeremy Fuller, Laken S. Ganoe, Carissa Ganong, Ricky Garibay, Lisa J. Gatens, Francis D. Gerraty, Sean T. Giery, Jessica L. Glasscock, Erim Gómez, Louis E. Good, Gabriel P. Gott, Natasha J. Gownaris, Steven M. Gray, Austin M. Green, Kevin E. Green, Jasmine K. Grewal, Joseph M. Guthrie, Blake A. Halbert, Matthew T. Hallett, Ethan J. Halstead, Christopher P. Hansen, Lonnie P. Hansen, Eamon J. Harrity, Steven C. Hasstedt, Taylor A. Hickman, Angela Holland, Carolin A. Humpal, Brigit R. Humphreys, Aaron Hunt, Heide D. Island, Reagan Jarrett, Alex M. Johnson, Tamara L. Johnstone‐Yellin, Michael J. Joyce, Stanley Jozokos, Gaby C. Karakcheyeva, Keith Keel, Kevin Kinser‐McBee, Matt Kleitch, Travis Knowles, Molly M. Koeck, Brooks A. Kohli, Macy A. Krishnamoorthy, Kellie M. Kuhn, Diana J. R. Lafferty, Scott LaPoint, Brody Allan Larkin, Marcus Lashley, Richard G. Lathrop, Thomas E. Lee, Christopher A. Lepczyk, Damon B. Lesmeister, Robert C. Lonsinger, Kim Magalona, Sean P. Maher, Fasmin Marikar, Heather A. Mathewson, Thomas S. Mathiesen, Tanya J. H. Matlaga, Amy E. Mayer, Kyle P. McCarthy, Shawn F. McCracken, Brandon W. McDonald, Molly M. McDonough, Brian T. McElligott, Sierra McMurry, Shannon McNeil, Leah E. McTigue, Scott McWilliams, Stephen G. Mech, Mohamed Khalil Meliane, Margaret Mercer, Margaret R. Merz, Joshua J. Millspaugh, Remington J. Moll, Andrew M. Monks, Javier Monzón, Monica A. Mowery, Lisa A. Murphy, Alexis M. Mychajliw, Christopher M. Nagy, Sean A. Neiswenter, Laura P. Nicholson, Brian J. O'Neill, Michael J. Orgill, Daniel J. Osborne, Nathan A. Pack, Lorelei E. Patrick, Jessica R. Patterson, David L. Pearce, Karla Pedraza, Maya C. Pendleton, Radmila Petric, Tyler R. Petroelje, Mairi K. P. Poisson, Mohit Poudel, Jiayi Pu, Janet L. Rachlow, Adar E. Reed, Hayden Reed, Christine C. Rega‐Brodsky, Katie R. Remine, Michael S. Rentz, Derek R. Risch, Lauren Robertson, Justin Roemer, Andrea Romero, Christopher Rota, Elizabeth A. Roznik, Maria Luisa S. P. Jorge, Corey A. Samples, Christie Sampson, Christopher M. Schalk, Bradley D. Scholten, Christina L. Scott, William J. Severud, Jennifer Sevin, Mike Shaw, Brodie A. Shelton, Daniel S. Smith, Daniel A. Sossover, Atley Sparks, J. Alan Sparks, Matthew T. Springer, Jessica Stamn, Jennifer L. Stenglein, Ryan B. Stephens, Cassie M. Stitzman, Gabe Stonoha, Vijayan Sundararaj, Amanda Suzzi‐Simmons, Andrew J. M. Swafford, Evan Philip Tanner, Ashley M. Tanner, Mollie A. Thomas, Ami L. Thompson, Katherine K. Thorington, Sandra M. Troxell‐Smith, Daria Tsybina, Marius van der Merwe, Owen G. VanAntwerpen, Tatiana Velásquez‐Roa, Stephen L. Webb, Katelyn L. Wehr, Nathaniel H. Wehr, Emily G. Weigel, Moon Weiss, Ty Jordan Werdel, Chuck W. Whalen, Christopher A. Whittier, Brianna Widner, Feonix Wilde, Eli F. Wildey, Andrew M. Wilson, Clay M. Wilton, Alexander J. Wolf, Justin Wooley, Kerry L. Yurewicz, Marketa Zimova, Adam Zorn, William J. McShea
{"title":"SNAPSHOT USA 2024: Year 6 of the Coordinated National Camera Trap Survey of the United States","authors":"Brigit Rooney, Roland Kays, Michael V. Cove, Alex Jensen, Daniel J. Herrera, Camilla Price, Phuong‐Thao Nguyen‐Nu, Katrina Adamczyk, Peter D. Alexander, David Allen, Jesse M. Alston, Diego F. Alvarado‐Serrano, Thomas L. Anderson, Cara L. Appel, Scott M. Appleby, Anne C. Axel, Christopher R. Ayers, Nicholas W. Bakner, Dylan L. Bakner, Griffin Bandler, Luke Banta, Erin E. Barding, Carolina Baruzzi, William T. Bean, Silas C. Beers, Jerrold L. Belant, John F. Benson, Anna Berg, Dylan L. Bergman, Meagan A. Bethel, Tori Bird, Michael T. Booth, Aaron J. Bossert, LaRoy S. E. Brandt, Levin C. Brandt, Zeuk Brown, Erin K. Buchholtz, Richard Buchholz, Frances E. Buderman, Kathleen A. Carey, Michael B. Carpenter, Kellie Carter, Ivan Castro‐Arellano, Michael Chamberlain, Amanda E. Cheeseman, Michael D. Cheng, Cary D. Chevalier, M. Colter Chitwood, Petros Chrysafis, Bradley S. Cohen, Isabella R. Collamati, D. Parks Collins, Justin A. Compton, L. Mike Conner, Brianna Cook, Olivia Cosby, Anthony P. Crupi, Andrea K. Darracq, Jon M. Davenport, Drew R. Davis, Miranda L. Davis, Noé U. de la Sancha, Brett A. DeGregorio, Anant Deshwal, Art Drauglis, Jonathan E. Dudko, Jennifer M. Duggan, Andrew J. Edelman, Valerie Elder, Kendall Eldredge, E. Hance Ellington, Susan N. Ellis‐Felege, Caroline N. Ellison, John Erb, Alexa Fairchild, Keilani Fang, Jean Fantle‐Lepczyk, Michael Fargione, Zach J. Farris, Zoë Fassett‐Manuszewski, Alexander M. Ferentinos, Adam W. Ferguson, M. Caitlin Fisher‐Reid, Elizabeth A. Flaherty, Jared Franklin, Sarah R. Fritts, Brel Froebe, Jeremy Fuller, Laken S. Ganoe, Carissa Ganong, Ricky Garibay, Lisa J. Gatens, Francis D. Gerraty, Sean T. Giery, Jessica L. Glasscock, Erim Gómez, Louis E. Good, Gabriel P. Gott, Natasha J. Gownaris, Steven M. Gray, Austin M. Green, Kevin E. Green, Jasmine K. Grewal, Joseph M. Guthrie, Blake A. Halbert, Matthew T. Hallett, Ethan J. Halstead, Christopher P. Hansen, Lonnie P. Hansen, Eamon J. Harrity, Steven C. Hasstedt, Taylor A. Hickman, Angela Holland, Carolin A. Humpal, Brigit R. Humphreys, Aaron Hunt, Heide D. Island, Reagan Jarrett, Alex M. Johnson, Tamara L. Johnstone‐Yellin, Michael J. Joyce, Stanley Jozokos, Gaby C. Karakcheyeva, Keith Keel, Kevin Kinser‐McBee, Matt Kleitch, Travis Knowles, Molly M. Koeck, Brooks A. Kohli, Macy A. Krishnamoorthy, Kellie M. Kuhn, Diana J. R. Lafferty, Scott LaPoint, Brody Allan Larkin, Marcus Lashley, Richard G. Lathrop, Thomas E. Lee, Christopher A. Lepczyk, Damon B. Lesmeister, Robert C. Lonsinger, Kim Magalona, Sean P. Maher, Fasmin Marikar, Heather A. Mathewson, Thomas S. Mathiesen, Tanya J. H. Matlaga, Amy E. Mayer, Kyle P. McCarthy, Shawn F. McCracken, Brandon W. McDonald, Molly M. McDonough, Brian T. McElligott, Sierra McMurry, Shannon McNeil, Leah E. McTigue, Scott McWilliams, Stephen G. Mech, Mohamed Khalil Meliane, Margaret Mercer, Margaret R. Merz, Joshua J. Millspaugh, Remington J. Moll, Andrew M. Monks, Javier Monzón, Monica A. Mowery, Lisa A. Murphy, Alexis M. Mychajliw, Christopher M. Nagy, Sean A. Neiswenter, Laura P. Nicholson, Brian J. O'Neill, Michael J. Orgill, Daniel J. Osborne, Nathan A. Pack, Lorelei E. Patrick, Jessica R. Patterson, David L. Pearce, Karla Pedraza, Maya C. Pendleton, Radmila Petric, Tyler R. Petroelje, Mairi K. P. Poisson, Mohit Poudel, Jiayi Pu, Janet L. Rachlow, Adar E. Reed, Hayden Reed, Christine C. Rega‐Brodsky, Katie R. Remine, Michael S. Rentz, Derek R. Risch, Lauren Robertson, Justin Roemer, Andrea Romero, Christopher Rota, Elizabeth A. Roznik, Maria Luisa S. P. Jorge, Corey A. Samples, Christie Sampson, Christopher M. Schalk, Bradley D. Scholten, Christina L. Scott, William J. Severud, Jennifer Sevin, Mike Shaw, Brodie A. Shelton, Daniel S. Smith, Daniel A. Sossover, Atley Sparks, J. Alan Sparks, Matthew T. Springer, Jessica Stamn, Jennifer L. Stenglein, Ryan B. Stephens, Cassie M. Stitzman, Gabe Stonoha, Vijayan Sundararaj, Amanda Suzzi‐Simmons, Andrew J. M. Swafford, Evan Philip Tanner, Ashley M. Tanner, Mollie A. Thomas, Ami L. Thompson, Katherine K. Thorington, Sandra M. Troxell‐Smith, Daria Tsybina, Marius van der Merwe, Owen G. VanAntwerpen, Tatiana Velásquez‐Roa, Stephen L. Webb, Katelyn L. Wehr, Nathaniel H. Wehr, Emily G. Weigel, Moon Weiss, Ty Jordan Werdel, Chuck W. Whalen, Christopher A. Whittier, Brianna Widner, Feonix Wilde, Eli F. Wildey, Andrew M. Wilson, Clay M. Wilton, Alexander J. Wolf, Justin Wooley, Kerry L. Yurewicz, Marketa Zimova, Adam Zorn, William J. McShea","doi":"10.1111/geb.70229","DOIUrl":"https://doi.org/10.1111/geb.70229","url":null,"abstract":"Motivation SNAPSHOT USA is an annual, multi‐contributor camera trap survey of mammals across the United States. The growing SNAPSHOT USA dataset is intended for tracking the spatial and temporal responses of mammal populations to changes in land use, land cover and climate. These data will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, as well as the impacts of species interactions on daily activity patterns. Main Types of Variables Contained SNAPSHOT USA 2024 contains 377,427 records of camera trap image sequence data and 3127 records of camera trap deployment metadata. Spatial Location and Grain Data were collected across the United States of America in 49 states, 12 ecoregions and many ecosystems. Time Period and Grain Data were collected between 1 August and 19 December in 2024. Major Taxa and Level of Measurement The dataset includes a wide range of taxa but is primarily focused on medium to large mammals. Software Format SNAPSHOT USA 2024 comprises two .csv files. The original data can be found within the SNAPSHOT USA 2024 project on the Wildlife Insights platform.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"2 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147751762","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}
Renée Lejeune, Eduardo Fuentes‐Lillo, Jake Alexander, Romina D. Dimarco, Stef Haesen, Sylvia Haider, Lore Hostens, Anke Jentsch, Josef Kutlvašr, Jonathan Lenoir, Martin A. Nuñez, Aníbal Pauchard, Jan Pergl, Amber Pirée, Amanda Ratier Backes, Tim Seipel, Michaela Vítková, Dymphna Wiegmans, Peter Wolff, Ivan Nijs, Jonas J. Lembrechts
{"title":"Mountain Roads Across the Globe Significantly Alter Local Soil Thermal Microclimates","authors":"Renée Lejeune, Eduardo Fuentes‐Lillo, Jake Alexander, Romina D. Dimarco, Stef Haesen, Sylvia Haider, Lore Hostens, Anke Jentsch, Josef Kutlvašr, Jonathan Lenoir, Martin A. Nuñez, Aníbal Pauchard, Jan Pergl, Amber Pirée, Amanda Ratier Backes, Tim Seipel, Michaela Vítková, Dymphna Wiegmans, Peter Wolff, Ivan Nijs, Jonas J. Lembrechts","doi":"10.1111/geb.70237","DOIUrl":"https://doi.org/10.1111/geb.70237","url":null,"abstract":"Aim Mountain roads host plant communities that differ strongly from the adjacent natural vegetation. Besides the effect of propagule pressure, altered disturbance and soil processes, one of the reasons given for the strong influence of mountain roads on species distributions is a significantly altered soil thermal microclimate in the roadside compared to the adjacent vegetation, as a direct consequence of road disturbance. However, the thermal microclimatic differences between roadside and natural vegetation have rarely been quantified, particularly across large spatial extents. This study provides the first global quantification of roadside soil temperature patterns along elevational gradients. Location Mountain roads in eight mountain regions from the Mountain Invasion Research Network (MIREN): Argentina, Chile, Czech Republic, Norway, Spain (Tenerife and La Palma), Switzerland, and the USA. Methods In this study, we analysed in situ measured topsoil temperatures (< 10 cm) and forest cover of roadsides and adjacent natural vegetation plots, in a systematically paired design. Results Across most regions, roadside soils exhibited consistently warmer maxima (3.62°C ± 2.61°C) and colder minima (1.39°C ± 1.40°C) than soils in adjacent vegetation. Although temperature distributions between roadside and natural habitats largely overlapped, these systematic shifts indicate increased thermal variability and higher frost risk in roadside environments. Main Conclusions Roadsides create distinct thermal microhabitats even within heterogeneous mountain landscapes. These altered temperature regimes, particularly when combined with vegetation structure and other environmental factors such as soil moisture, may influence plant performance and distribution. Our findings highlight the ecological relevance of thermal microclimates in understanding biodiversity patterns along mountain roads.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"244 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147736842","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":"Concepts and Methods for Identifying Species Niche Edges, Potentially Truncated Edges, and Climate Risks and Opportunities","authors":"Nora Schlenker, John W. Williams","doi":"10.1111/geb.70241","DOIUrl":"https://doi.org/10.1111/geb.70241","url":null,"abstract":"Aim Unmitigated climate change will subject species to environments unlike any experienced for millions of years, creating new risks and opportunities for species, especially where niches are truncated and novel climates open previously unavailable portions of the fundamental niche. Here we present a conceptual framework and explore methods for identifying niche edges, potentially truncated edges, and the risks and opportunities associated with changing climate prevalence. Innovation We provide conceptual and methodological frameworks to identify and quantify potentially truncated edges and associated risks and opportunities which can be incorporated into studies regarding conservation biology and novel ecosystems. This method uses multidimensional kernel density analysis to identify portions of the niche that are particularly susceptible to climate changes, the potentially truncated niche edges. Climate‐prevalence analysis then identifies which portions of the niche, including edges, may become more (opportunity edge) or less (risk edge) common in the future. Using three North American tree species, we test the sensitivity of this method to different representations of climate (via dimension reduction) and species‐specific available climates (via buffer distance), discuss the geographic and environmental distributions of potentially truncated edges and risk/opportunity edges, and recommend future implementations of this method in research and conservation. Main Conclusions Niche‐edge and climate‐prevalence analyses together help identify populations sensitive to changes in climate and assess climate risk or opportunity. Estimates of edge frequency and climate‐prevalence risk/opportunity are sensitive to climate dimensionality, with 4‐dimensional representations recommended over 2‐dimensional representations, and to buffer distance, with buffers > 100 km showing the best performance. This new method complements traditional approaches for assessing species‐level effects of climate change, such as species distribution models, and can help conservation planning by identifying populations that are particularly vulnerable to disappearing climates versus populations poised to leverage the opportunities associated with novel climates, with perhaps surprising effects.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"27 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147736844","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}
Laura Sergeant, Paulina E. Pinto, Bastien Castagneyrol, Jean-Claude Gégout, Hervé Jactel, Neil Pederson, Cyrille Rathgeber, Damien Bonal
{"title":"Climate Change Has Impacted Tree Growth in Temperate and Boreal Forests Since the Beginning of the 21st Century, a Meta-Analysis Tells Us","authors":"Laura Sergeant, Paulina E. Pinto, Bastien Castagneyrol, Jean-Claude Gégout, Hervé Jactel, Neil Pederson, Cyrille Rathgeber, Damien Bonal","doi":"10.1111/geb.70239","DOIUrl":"https://doi.org/10.1111/geb.70239","url":null,"abstract":"The first decade of the 21st century has marked a worsening of anthropogenic climate change which could induce a slowdown in tree growth. However, no consensus has emerged from studies published so far, as positive, negative, or no changes in long-term tree growth in temperate and boreal forests were locally found. We conducted a meta-analysis to reveal whether an overall change in tree growth trends has emerged in the last few decades and to determine which factors may have driven any such changes.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"19 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147735636","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}
Wang Cai, Yuan Liu, YunAo Li, Min Cao, Carol C. Baskin, Jerry M. Baskin, Adriana Alzate, Renske E. Onstein, Jie Yang
{"title":"Joint Influence of Seed Dormancy and Dispersal Syndrome on Dispersal Distance and Range Size Across Two Climate Regions","authors":"Wang Cai, Yuan Liu, YunAo Li, Min Cao, Carol C. Baskin, Jerry M. Baskin, Adriana Alzate, Renske E. Onstein, Jie Yang","doi":"10.1111/geb.70234","DOIUrl":"https://doi.org/10.1111/geb.70234","url":null,"abstract":"Aim Long distance dispersal and the ability to delay germination under unfavourable conditions (dormancy) are critical for plant persistence and range expansion. However, how dispersal syndrome and dormancy interactively shape maximum dispersal distance and species range size across climate regions remains unclear. We tested the hypothesis that a trade‐off between dormancy and dispersal distance operates differently in animal‐mediated versus abiotic dispersal systems, and that climate modulates their influence on range size. Location Global. Time Period Current. Major Taxa Studied Seed plants. Methods We compiled data on dormancy, dispersal syndrome, maximum seed dispersal distance and range size for 631 plant species across 118 families worldwide. We used linear mixed effects models to examine how dormancy and dispersal syndromes interactively shape seed dispersal distance and range size across tropical and temperate regions. Results Non‐dormant species had larger maximum dispersal distances than dormant species, but only in abiotic dispersal systems, consistent with a trade‐off between dispersal and persistence traits (dormancy). In contrast, animal‐mediated dispersal led to larger dispersal distances than abiotic dispersal, regardless of whether species were dormant or not. The influence of dormancy and dispersal syndrome on range size was climate‐dependent. In tropical regions, animal‐mediated dispersal enhanced range size, while dormancy had little effect. In temperate regions, maximum seed dispersal distance was positively associated with range size, but neither dormancy nor animal‐mediated dispersal significantly affected range size. Main Conclusions The interplay between seed dormancy and dispersal syndromes shapes seed dispersal distance and species range size in climate‐specific ways. Animal‐mediated dispersal promotes larger maximum dispersal distances and larger range sizes in tropical regions. In contrast, in abiotic dispersal systems, dormancy leads to relatively small dispersal distances, but dormancy itself does not affect range sizes in temperate or tropical regions. Understanding dispersal‐dormancy dynamics is essential for predicting how plants will respond to environmental changes.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"283 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147719652","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}
Ethan Plunkett, Yuting Deng, David L. Slager, Miguel Fuentes, Yangkang Chen, Benjamin M. Van Doren, Adriaan M. Dokter, Daniel Sheldon
{"title":"Novel Estimates of Bird Migration Traffic at the Continental Scale Using Participatory Science Data","authors":"Ethan Plunkett, Yuting Deng, David L. Slager, Miguel Fuentes, Yangkang Chen, Benjamin M. Van Doren, Adriaan M. Dokter, Daniel Sheldon","doi":"10.1111/geb.70236","DOIUrl":"https://doi.org/10.1111/geb.70236","url":null,"abstract":"Aim Quantifying movement patterns of migratory birds throughout their annual cycles is critical for effective conservation planning. The BirdFlow project uses eBird participatory science data products to model species‐level migratory trajectories across entire ranges. However, BirdFlow trajectory models are not readily compatible with location‐based monitoring technologies such as weather radar. We develop a scalable, species‐level measurement of nocturnal bird migration traffic and assess its utility for integration with radar monitoring. Innovation We introduce the BirdFlow migration traffic rate (BMTR), a location‐based metric of migratory passage for individual species derived from BirdFlow models. BMTR quantifies the weekly proportion of a species' population passing over a transect, can be calculated across a species' entire range and can be converted to absolute numbers using population estimates. We applied this framework to 312 nocturnal migratory bird species in North America. Aggregating all species' migration activities, we compared them with average weekly nocturnal migration traffic detected by 152 NEXRAD weather surveillance radars over 28 years. We further evaluated the use of BMTR to disaggregate radar‐derived migration traffic into species‐level estimates. Main Conclusions BirdFlow‐ and radar‐derived migration traffic showed strong agreement ( <jats:italic>r</jats:italic> = 0.784), particularly along the Mississippi and Atlantic Flyways, with models incorporating demographic adjustments performing best. Annual nocturnal migration traffic estimated by BirdFlow and radar was closely aligned, with BirdFlow estimates averaging 33.3% higher. BMTR effectively captured major flyways, high‐traffic routes and seasonal migration dynamics. It also enabled disaggregation of radar traffic into species‐level contributions, revealing dominant species at specific locations. BMTR provides a new methodological bridge between trajectory‐based BirdFlow movement models and location‐based monitoring approaches. It offers a scalable, species‐specific tool for migration ecology and conservation, supports monitoring in areas without radar coverage and enables new opportunities for public engagement through visualisation of near real‐time, species‐level migration.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"69 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147702292","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":"Does Disturbance Drive Hybridisation? A Case Study in Vascular Plants","authors":"Lydia Morley, Daniel Spalink","doi":"10.1111/geb.70233","DOIUrl":"10.1111/geb.70233","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Across the tree of life, interspecific gene flow is coming to be recognised not just as an aberrant, albeit common, phenomenon, but as an evolutionary process that is inextricably linked to speciation itself. Empirical evidence and theory taken from adaptive radiations, island migrations, and speciation suggest that ecological disturbance should play a large role in determining when and where gene flow is more likely. In this paper, we expand the canonical definition of disturbance to encompass any climatic, spatial, or geologic factor that may disrupt established niches or adaptive landscapes, and we develop a generalised disturbance hypothesis: Disturbance drives hybridisation. We evaluate the applicability and testability of the generalised disturbance hypothesis using vascular plants as a case study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Current.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxa Studied</h3>\u0000 \u0000 <p>Vascular plants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To assess spatial and ecological patterns of hybridisation in vascular plants, we curated the most comprehensive vascular plant occurrence dataset to date, comprising over 300 million records. We use random forest, generalised linear, generalised dissimilarity, and species distribution modelling to assess spatial, climatic, and phylogenetic-community factors contributing to variation in hybrid occurrence, hybrid abundance, and hybrid community assemblage at both global and regional scales.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We find moderate support for a generalised disturbance hypothesis, primarily in temperate regions, indicating that climatic instability has played some role in catalysing hybridisation. Hybrid occurrence was predicted with higher accuracy than hybrid abundance in all cases, and we also find decreased explanatory power in tropical regions for all analyses, indicating a need for greater taxonomic effort and emphasising the potential role of idiosyncratic, local-scale factors in determining outcomes of hybridisation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>This study lays the groundwork to develop a context-specific interaction model of hybridisation","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147663987","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}
Yang Liu, Lars L. Iversen, Janne Alahuhta, Kenneth Thorø Martinsen, Kevin Murphy, Wei Li, Yu Cao, Lars Baastrup-Spohr
{"title":"Realm Specific Adaptations Lead to Contrasting Global Patterns in Submerged and Emergent Aquatic Plant Height","authors":"Yang Liu, Lars L. Iversen, Janne Alahuhta, Kenneth Thorø Martinsen, Kevin Murphy, Wei Li, Yu Cao, Lars Baastrup-Spohr","doi":"10.1111/geb.70232","DOIUrl":"10.1111/geb.70232","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study aims to evaluate whether the trait–environment relationships known for terrestrial plant height extend to freshwater macrophytes, and to identify the primary environmental factors influencing global height patterns in emergent and fully submerged aquatic plants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Species occurrence records and height measurements compiled from 1931 to 2022.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Freshwater plant species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compiled a global dataset of maximum plant height records for 1735 aquatic plant species, categorised by life form (partially emergent vs. submerged). Using generalised additive models, we tested how plant height varied along latitudinal gradients and how it was related to environmental predictors including temperature, relative inorganic carbon supply, and water depth (indicated by habitat availability). We explicitly analysed whether these relationships differed between the two life forms and validated these patterns using site-scale species and environmental data from northern temperate lakes and streams.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Species with emergent growth increase in height with warmer temperature. On the contrary, fully submerged species exhibit increased height with higher inorganic carbon availability and colder climates. At the local scale, submerged plant height is positively associated with relative inorganic carbon supply in lakes and streams of the northern temperate zone.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>The relationships between environmental variables and plant height differ between emergent to completely submerged life forms, consistent with realm-specific patterns in trait-environment correlations. These differing patterns highlight that trait-environment coupling in freshwater systems may not parallel those in terrestrial ecosystems and suggest that life form mediates species' responses to environmental variation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70232","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147619646","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}