Global Ecology and Biogeography最新文献

{"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}

{"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 &gt; 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}

{"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}

{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094963","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148091687","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148091688","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148091700","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094969","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":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"35 4","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148094964","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":"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 (&lt; 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}