Aim Assessing species range shifts and subsequent thermophilization—the increasing dominance of warm‐adapted species in communities—is critical for understanding ecological responses to climate change. Because systematic monitoring data for assessing thermophilization are limited geographically, temporally, and taxonomically, the use of occurrence data has been attempted. Although occurrence data have enabled important discoveries in studies evaluating the impact of climate change‐induced range shifts on community responses, two major biases—Spatiotemporal Variation of Observation Effort (STVOE) and the Truncation Effect—hinder their full potential. This study introduces the Community Change Detection Model (CCDM), a novel statistical framework designed to address these biases and accurately measure the thermophilization rate using large‐scale occurrence data. Innovation CCDM is a simple method based on multiple regression, yet it is the first method to simultaneously correct for the various degrees of STVOE and the truncation effect, enabling reliable thermophilization rate estimation from biased occurrence data. Validated through simulations and an empirical application to Japanese vascular plants, CCDM surpasses previous approaches, enabling the use of large amounts of occurrence data that had previously been restricted. Main Conclusions Applying CCDM to Japan's vascular plant communities from 1900 to 2024 revealed consistent thermophilization with acceleration since 1985, though it lagged behind regional warming rates, leading to the development of a climatic debt. Our analysis enabled this discovery by utilising occurrence data from historical warming periods, which is largely inaccessible through systematic monitoring. Furthermore, CCDM demonstrated robust performance in estimating thermophilization rates under various bias conditions in the simulation, indicating its high general applicability. CCDM unlocks the potential of historical occurrence data, offering unprecedented insights into climate change impacts across under‐monitored regions, periods, and taxa.
{"title":"A Bias‐Robust Framework for Quantifying Community Responses to the Climate Change Using the Occurrence Data","authors":"Takeharu Seki, Tanaka Kenta, Mitsuru Hirota","doi":"10.1111/geb.70223","DOIUrl":"https://doi.org/10.1111/geb.70223","url":null,"abstract":"Aim Assessing species range shifts and subsequent thermophilization—the increasing dominance of warm‐adapted species in communities—is critical for understanding ecological responses to climate change. Because systematic monitoring data for assessing thermophilization are limited geographically, temporally, and taxonomically, the use of occurrence data has been attempted. Although occurrence data have enabled important discoveries in studies evaluating the impact of climate change‐induced range shifts on community responses, two major biases—Spatiotemporal Variation of Observation Effort (STVOE) and the Truncation Effect—hinder their full potential. This study introduces the Community Change Detection Model (CCDM), a novel statistical framework designed to address these biases and accurately measure the thermophilization rate using large‐scale occurrence data. Innovation CCDM is a simple method based on multiple regression, yet it is the first method to simultaneously correct for the various degrees of STVOE and the truncation effect, enabling reliable thermophilization rate estimation from biased occurrence data. Validated through simulations and an empirical application to Japanese vascular plants, CCDM surpasses previous approaches, enabling the use of large amounts of occurrence data that had previously been restricted. Main Conclusions Applying CCDM to Japan's vascular plant communities from 1900 to 2024 revealed consistent thermophilization with acceleration since 1985, though it lagged behind regional warming rates, leading to the development of a climatic debt. Our analysis enabled this discovery by utilising occurrence data from historical warming periods, which is largely inaccessible through systematic monitoring. Furthermore, CCDM demonstrated robust performance in estimating thermophilization rates under various bias conditions in the simulation, indicating its high general applicability. CCDM unlocks the potential of historical occurrence data, offering unprecedented insights into climate change impacts across under‐monitored regions, periods, and taxa.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"52 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147380670","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}
Max Mallen‐Cooper, Millie Vernon, David J. Eldridge
Aim Coarse woody debris is increasingly being used in ecological restoration. We aimed to assess the global impacts of woody debris on ecosystem properties and functions. Location Global. Major Taxa Studied Soil biota, plants, soil function. Methods We conducted a quantitative global meta‐analysis of 66 studies (5234 observations) to assess how woody debris influences ecosystem health and specific ecological components, focusing on soil properties, soil biota, and plants. Results Woody debris significantly enhanced soil function, biodiversity, and the abundance of biota. The positive impact on diversity and abundance increased with debris size, and in the case of abundance, age of debris. Most individual attributes such as soil carbon, soil nitrogen, soil infiltration, and the abundance and diversity of microbes, invertebrates, and plants, were enhanced by the addition of woody debris, and generally to a greater extent when the debris was larger and older. Main Conclusions Our results suggest that larger and older pieces of woody debris are more likely to promote ecological functioning and biodiversity.
{"title":"Plant and Soil Function Increase With Larger and Older Coarse Woody Debris","authors":"Max Mallen‐Cooper, Millie Vernon, David J. Eldridge","doi":"10.1111/geb.70222","DOIUrl":"https://doi.org/10.1111/geb.70222","url":null,"abstract":"Aim Coarse woody debris is increasingly being used in ecological restoration. We aimed to assess the global impacts of woody debris on ecosystem properties and functions. Location Global. Major Taxa Studied Soil biota, plants, soil function. Methods We conducted a quantitative global meta‐analysis of 66 studies (5234 observations) to assess how woody debris influences ecosystem health and specific ecological components, focusing on soil properties, soil biota, and plants. Results Woody debris significantly enhanced soil function, biodiversity, and the abundance of biota. The positive impact on diversity and abundance increased with debris size, and in the case of abundance, age of debris. Most individual attributes such as soil carbon, soil nitrogen, soil infiltration, and the abundance and diversity of microbes, invertebrates, and plants, were enhanced by the addition of woody debris, and generally to a greater extent when the debris was larger and older. Main Conclusions Our results suggest that larger and older pieces of woody debris are more likely to promote ecological functioning and biodiversity.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"16 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147380671","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}
Chang Liu, Stef Haesen, Jürgen Dengler, Denys Vynokurov, Idoia Biurrun, Łukasz Kozub, Iwona Dembicz, Alireza Naqinezhad, Béla Tóthmérész, Dariia Borovyk, Franz Essl, Juan Antonio Campos, Nadiia Skobel, Péter Török, Robin J. Pakeman, Swantje Löbel, Koenraad Van Meerbeek
European grasslands rank among the most species-rich ecosystems at small spatial scales, yet their biodiversity and functioning face significant threats from climate change and land-use intensification. Functional traits more effectively explain ecosystem functions (EFs) than species identity or diversity. This study examines how future climate and land cover changes will shape grassland functional composition, addressing gaps in trait-environment relationships and large-scale functional predictions.
{"title":"Climate and Land Cover Change Transform Functional Identity and Reduce Functional Diversity in European Grasslands","authors":"Chang Liu, Stef Haesen, Jürgen Dengler, Denys Vynokurov, Idoia Biurrun, Łukasz Kozub, Iwona Dembicz, Alireza Naqinezhad, Béla Tóthmérész, Dariia Borovyk, Franz Essl, Juan Antonio Campos, Nadiia Skobel, Péter Török, Robin J. Pakeman, Swantje Löbel, Koenraad Van Meerbeek","doi":"10.1111/geb.70217","DOIUrl":"https://doi.org/10.1111/geb.70217","url":null,"abstract":"European grasslands rank among the most species-rich ecosystems at small spatial scales, yet their biodiversity and functioning face significant threats from climate change and land-use intensification. Functional traits more effectively explain ecosystem functions (EFs) than species identity or diversity. This study examines how future climate and land cover changes will shape grassland functional composition, addressing gaps in trait-environment relationships and large-scale functional predictions.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"11 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147371516","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}
Ankita Gupta, Camille DeSisto, Donald Midoko Iponga, Alfred Ngomanda, Vincent Maicher, Halina Malinowski, John R. Poulsen
To evaluate how elephant activity and anthropogenic disturbances (logging, secondary forest conversion, and proximity to villages) influence aboveground carbon (AGC) stocks in tropical forests and how their effects vary across tree size classes.
{"title":"Size-Based Effects of Anthropogenic Pressures and Elephant Activity on Tropical Forest Carbon Stocks","authors":"Ankita Gupta, Camille DeSisto, Donald Midoko Iponga, Alfred Ngomanda, Vincent Maicher, Halina Malinowski, John R. Poulsen","doi":"10.1111/geb.70207","DOIUrl":"https://doi.org/10.1111/geb.70207","url":null,"abstract":"To evaluate how elephant activity and anthropogenic disturbances (logging, secondary forest conversion, and proximity to villages) influence aboveground carbon (AGC) stocks in tropical forests and how their effects vary across tree size classes.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"497 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147368176","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}
Jesús Zuñiga-Palacios, Iriana Zuria, Claudia E. Moreno
Urbanization is a major driver of biotic homogenization (BH), reducing biodiversity through species invasions and extinctions. However, the drivers and mechanisms remain poorly understood, and urban ecosystems may also exhibit biotic differentiation (BD). This study uses a meta-analysis to examine BH and BD patterns, underlying processes and key drivers across regions and taxa.
{"title":"Global Patterns and Drivers of Urban Biotic Homogenization: A Meta-Analysis","authors":"Jesús Zuñiga-Palacios, Iriana Zuria, Claudia E. Moreno","doi":"10.1111/geb.70219","DOIUrl":"https://doi.org/10.1111/geb.70219","url":null,"abstract":"Urbanization is a major driver of biotic homogenization (BH), reducing biodiversity through species invasions and extinctions. However, the drivers and mechanisms remain poorly understood, and urban ecosystems may also exhibit biotic differentiation (BD). This study uses a meta-analysis to examine BH and BD patterns, underlying processes and key drivers across regions and taxa.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"46 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147330235","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}