Zou Y. Zhao P. Wu N. et al. 2025 “rarestR: An R Package Using Rarefaction Metrics to Estimate α- and β-Diversity for Incomplete Samples.” Diversity and Distributions 31: e13954. https://doi.org/10.1111/ddi.13954.
In both equations, there should be no ‘—’ in some parts. That is, the intended hypergeometric probability terms should be expressed using binomial coefficients (combinations), rather than as division.
{"title":"Correction to ‘rarestR: An R Package Using Rarefaction Metrics to Estimate α- and β-Diversity for Incomplete Samples’","authors":"","doi":"10.1111/ddi.70165","DOIUrl":"https://doi.org/10.1111/ddi.70165","url":null,"abstract":"<p>Zou Y. Zhao P. Wu N. et al. 2025 “rarestR: An R Package Using Rarefaction Metrics to Estimate α- and β-Diversity for Incomplete Samples.” <i>Diversity and Distributions</i> 31: e13954. https://doi.org/10.1111/ddi.13954.</p><p>In both equations, there should be no ‘—’ in some parts. That is, the intended hypergeometric probability terms should be expressed using binomial coefficients (combinations), rather than as division.</p>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70165","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147320941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Miranda Brooke Rose, Santiago José Elías Velazco, Helen M. Regan, James H. Thorne, Janet Franklin
<div> <section> <h3> Aim</h3> <p>We assessed the geographic and hydroclimatic patterns of species-specific habitat suitability change for 81 plant species under diverging climate models.</p> </section> <section> <h3> Location</h3> <p>California Floristic Province, USA.</p> </section> <section> <h3> Time Period</h3> <p>1981–2010 and 2070–2099.</p> </section> <section> <h3> Major Taxa Studied</h3> <p>81 plant species.</p> </section> <section> <h3> Methods</h3> <p>We used species distribution models calibrated with baseline climate and species occurrence data to project habitat suitability under two climate models that reflect different magnitudes of temperature and precipitation change in California. We related species-specific predicted changes in habitat suitability at the pixel level to four geographic features (latitude, distance to coast, elevation and topographic heterogeneity) and the projected change in five hydroclimatic variables that drive plant distributions in Mediterranean-type ecosystems.</p> </section> <section> <h3> Results</h3> <p>Spatial patterns of projected habitat suitability change varied across species and climate models, with 59% of species exhibiting a positive relationship between habitat suitability and elevation (high elevation refugia) under a hot, dry climate model, while only ~33% showed this pattern under the warm, wet model. Habitat suitability responses to changing hydroclimatic conditions were similarly variable, but species' predicted responses to changes in minimum temperature were strong determinants of elevational and topographic positions of their refugia, regardless of climate model. Species predicted to experience habitat declines in response to increasing temperature were more likely to be associated with topographically complex refugia and high elevation habitat persistence.</p> </section> <section> <h3> Main Conclusions</h3> <p>Our results support empirical observations that conventional assumptions about climate-driven range shifts may not hold for many plant species in California. Areas of persistent high habitat suitability for many species are predicted outside traditionally expected refugia, including lower elevations. By linking modelled habitat suitability to both geographic and hydroclimatic gradi
{"title":"Species-Specific Responses to Multiple Climatic Variables Predict Diverging Locations of Future Climate Change Refugia","authors":"Miranda Brooke Rose, Santiago José Elías Velazco, Helen M. Regan, James H. Thorne, Janet Franklin","doi":"10.1111/ddi.70158","DOIUrl":"10.1111/ddi.70158","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>We assessed the geographic and hydroclimatic patterns of species-specific habitat suitability change for 81 plant species under diverging climate models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>California Floristic Province, USA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>1981–2010 and 2070–2099.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>81 plant species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used species distribution models calibrated with baseline climate and species occurrence data to project habitat suitability under two climate models that reflect different magnitudes of temperature and precipitation change in California. We related species-specific predicted changes in habitat suitability at the pixel level to four geographic features (latitude, distance to coast, elevation and topographic heterogeneity) and the projected change in five hydroclimatic variables that drive plant distributions in Mediterranean-type ecosystems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Spatial patterns of projected habitat suitability change varied across species and climate models, with 59% of species exhibiting a positive relationship between habitat suitability and elevation (high elevation refugia) under a hot, dry climate model, while only ~33% showed this pattern under the warm, wet model. Habitat suitability responses to changing hydroclimatic conditions were similarly variable, but species' predicted responses to changes in minimum temperature were strong determinants of elevational and topographic positions of their refugia, regardless of climate model. Species predicted to experience habitat declines in response to increasing temperature were more likely to be associated with topographically complex refugia and high elevation habitat persistence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results support empirical observations that conventional assumptions about climate-driven range shifts may not hold for many plant species in California. Areas of persistent high habitat suitability for many species are predicted outside traditionally expected refugia, including lower elevations. By linking modelled habitat suitability to both geographic and hydroclimatic gradi","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147288407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Ming Sun, Krystina Braid, Jessica Blaylock, Daniel Hennen, Samuel Truesdell, Yong Chen
<div> <section> <h3> Aim</h3> <p>Spatiotemporal data gaps in fishery-independent surveys—arising from offshore wind development, marine protected areas or spatially uneven sampling effort—pose challenges to the consistency and reliability of abundance indices that inform stock assessments. This study evaluates how survey preclusion affects the spatial and temporal behaviour of abundance indices, using offshore wind survey exclusion in key NOAA fisheries surveys in the Mid-Atlantic as a case study to assess impacts on temporal trends, deviations over space and uncertainty for four iconic stocks.</p> </section> <section> <h3> Location</h3> <p>Mid-Atlantic Ocean, US.</p> </section> <section> <h3> Methods</h3> <p>Using four species as case studies, we compared design-based abundance indices derived from a Full dataset (without offshore wind) and a wind energy excluded (WEE) dataset that hypothetically removed all survey tows within wind energy areas (WEAs) across the full time series. Model-based approaches, including statistical models, machine learning methods and vector autoregressive spatial–temporal model (VAST), were then applied to reconstruct tow-level survey data using the WEE dataset and derive spatial and temporal abundance indices. Model-based indices were evaluated in terms of deviations in spatial abundance indices, changes in relative precision, and consistency of temporal trends relative to design-based indices.</p> </section> <section> <h3> Results</h3> <p>Design-based indices retained consistent temporal trends despite emerging errors in absolute abundance estimates and increased variance. Model-based reconstruction partially recovered spatial information within WEAs, but reconstructed spatial abundance indices exhibited greater variability in deviations inside WEAs than outside, whereas changes in relative precision were generally small. Temporal trends in model-based indices were generally consistent with design-based indices, though sensitivity varied by species and time series. Differences among modelling approaches were species-dependent, reflecting contrasts in mobility, spatial aggregation and life history traits.</p> </section> <section> <h3> Main Conclusions</h3> <p>This offshore wind case study demonstrates that survey preclusion primarily affects the spatial representation and magnitude of abundance indices, whereas temporal trend signals can remain robust under moderate data loss. No single modelling approach was consisten
{"title":"Addressing Spatiotemporal Data Gaps in Fish Abundance Modelling: Insights From Offshore Wind Impacts in the U.S. Mid-Atlantic","authors":"Ming Sun, Krystina Braid, Jessica Blaylock, Daniel Hennen, Samuel Truesdell, Yong Chen","doi":"10.1111/ddi.70156","DOIUrl":"10.1111/ddi.70156","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Spatiotemporal data gaps in fishery-independent surveys—arising from offshore wind development, marine protected areas or spatially uneven sampling effort—pose challenges to the consistency and reliability of abundance indices that inform stock assessments. This study evaluates how survey preclusion affects the spatial and temporal behaviour of abundance indices, using offshore wind survey exclusion in key NOAA fisheries surveys in the Mid-Atlantic as a case study to assess impacts on temporal trends, deviations over space and uncertainty for four iconic stocks.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Mid-Atlantic Ocean, US.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using four species as case studies, we compared design-based abundance indices derived from a Full dataset (without offshore wind) and a wind energy excluded (WEE) dataset that hypothetically removed all survey tows within wind energy areas (WEAs) across the full time series. Model-based approaches, including statistical models, machine learning methods and vector autoregressive spatial–temporal model (VAST), were then applied to reconstruct tow-level survey data using the WEE dataset and derive spatial and temporal abundance indices. Model-based indices were evaluated in terms of deviations in spatial abundance indices, changes in relative precision, and consistency of temporal trends relative to design-based indices.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Design-based indices retained consistent temporal trends despite emerging errors in absolute abundance estimates and increased variance. Model-based reconstruction partially recovered spatial information within WEAs, but reconstructed spatial abundance indices exhibited greater variability in deviations inside WEAs than outside, whereas changes in relative precision were generally small. Temporal trends in model-based indices were generally consistent with design-based indices, though sensitivity varied by species and time series. Differences among modelling approaches were species-dependent, reflecting contrasts in mobility, spatial aggregation and life history traits.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>This offshore wind case study demonstrates that survey preclusion primarily affects the spatial representation and magnitude of abundance indices, whereas temporal trend signals can remain robust under moderate data loss. No single modelling approach was consisten","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147288305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Henriksson, S., P. E. Jorde, C. Berkström, et al. 2025. “Connectivity and Population Structure in a Marginal Sea—A Review.” Diversity and Distributions 31, no. 7: e70056. https://doi.org/10.1111/ddi.70056.
The funding information presented in the originally published article is incorrect. The correct funding details and the updated acknowledgement section are provided below.
Funding: This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).
Acknowledgements
We are grateful to Cynthia Riginos for insightful comments on a preliminary version of this manuscript and to Ulf Bergström for his contribution to early conceptual discussions. This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).
We apologize for this error.
Henriksson， S., p.e. Jorde， C. Berkström等。2025。“边缘海洋中的连通性和人口结构综述”。多样性和分布31，no。7: e70056。https://doi.org/10.1111/ddi.70056.The最初发表的文章中提供的资助信息是不正确的。正确的资助详情和更新的确认部分如下。资助：这项工作是SAMSKAG项目（Samarbeid om forbeding av. miljösituasjonen i nordiske hav-og kystomr der, med fokus ppvskagerrak）的一部分，由北欧部长理事会、interregg项目bluebiocy气候和欧盟（MARHAB，资助号101135307）支持。M.J.还获得了FORMAS（批准号2020-008）和VR（批准号2022-03011）的资助。我们感谢Cynthia Riginos对初稿的深刻评论，感谢Ulf Bergström对早期概念讨论的贡献。这项工作是SAMSKAG项目（Samarbeid om forbeding av. miljösituasjonen i nordiske hav-og kystomr der, med fokus ppvskagerrak）的一部分，由北欧部长理事会、interregg项目bluebiocy气候和欧盟（MARHAB，资助号101135307）支持。M.J.还获得了FORMAS（批准号2020-008）和VR（批准号2022-03011）的资助。我们为这个错误道歉。
{"title":"Correction to “Connectivity and Population Structure in a Marginal Sea—A Review”","authors":"","doi":"10.1111/ddi.70162","DOIUrl":"10.1111/ddi.70162","url":null,"abstract":"<p>Henriksson, S., P. E. Jorde, C. Berkström, et al. 2025. “Connectivity and Population Structure in a Marginal Sea—A Review.” <i>Diversity and Distributions</i> 31, no. 7: e70056. https://doi.org/10.1111/ddi.70056.</p><p>The funding information presented in the originally published article is incorrect. The correct funding details and the updated acknowledgement section are provided below.</p><p><b>Funding</b>: This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).</p><p>Acknowledgements</p><p>We are grateful to Cynthia Riginos for insightful comments on a preliminary version of this manuscript and to Ulf Bergström for his contribution to early conceptual discussions. This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).</p><p>We apologize for this error.</p>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147288285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Henriksson, S., P. E. Jorde, C. Berkström, et al. 2025. “Connectivity and Population Structure in a Marginal Sea—A Review.” Diversity and Distributions 31, no. 7: e70056. https://doi.org/10.1111/ddi.70056.
The funding information presented in the originally published article is incorrect. The correct funding details and the updated acknowledgement section are provided below.
Funding: This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).
Acknowledgements
We are grateful to Cynthia Riginos for insightful comments on a preliminary version of this manuscript and to Ulf Bergström for his contribution to early conceptual discussions. This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).
We apologize for this error.
Henriksson， S., p.e. Jorde， C. Berkström等。2025。“边缘海洋中的连通性和人口结构综述”。多样性和分布31，no。7: e70056。https://doi.org/10.1111/ddi.70056.The最初发表的文章中提供的资助信息是不正确的。正确的资助详情和更新的确认部分如下。资助：这项工作是SAMSKAG项目（Samarbeid om forbeding av. miljösituasjonen i nordiske hav-og kystomr der, med fokus ppvskagerrak）的一部分，由北欧部长理事会、interregg项目bluebiocy气候和欧盟（MARHAB，资助号101135307）支持。M.J.还获得了FORMAS（批准号2020-008）和VR（批准号2022-03011）的资助。我们感谢Cynthia Riginos对初稿的深刻评论，感谢Ulf Bergström对早期概念讨论的贡献。这项工作是SAMSKAG项目（Samarbeid om forbeding av. miljösituasjonen i nordiske hav-og kystomr der, med fokus ppvskagerrak）的一部分，由北欧部长理事会、interregg项目bluebiocy气候和欧盟（MARHAB，资助号101135307）支持。M.J.还获得了FORMAS（批准号2020-008）和VR（批准号2022-03011）的资助。我们为这个错误道歉。
{"title":"Correction to “Connectivity and Population Structure in a Marginal Sea—A Review”","authors":"","doi":"10.1111/ddi.70162","DOIUrl":"https://doi.org/10.1111/ddi.70162","url":null,"abstract":"<p>Henriksson, S., P. E. Jorde, C. Berkström, et al. 2025. “Connectivity and Population Structure in a Marginal Sea—A Review.” <i>Diversity and Distributions</i> 31, no. 7: e70056. https://doi.org/10.1111/ddi.70056.</p><p>The funding information presented in the originally published article is incorrect. The correct funding details and the updated acknowledgement section are provided below.</p><p><b>Funding</b>: This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).</p><p>Acknowledgements</p><p>We are grateful to Cynthia Riginos for insightful comments on a preliminary version of this manuscript and to Ulf Bergström for his contribution to early conceptual discussions. This work was part of the project SAMSKAG (Samarbeid om forbedring av. miljösituasjonen i nordiske hav-og kystområder, med fokus på Skagerrak), supported by the Nordic Council of Ministers, the Interreg project BlueBioClimate and the European Union (MARHAB, Grant No. 101135307). M.J. was also supported by FORMAS (Grant No. 2020-008) and VR (Grant No. 2022-03011).</p><p>We apologize for this error.</p>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147288286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Long-term changes in wildlife habitats are fundamental for understanding biodiversity change and the ecological contexts that may shape opportunities for host contact or exposure. Avian influenza virus (AIV), one of the most pressing zoonotic threats, is maintained primarily in wild birds whose habitats are undergoing rapid transformation. Yet no globally consistent, temporally explicit habitat dataset tailored to AIV host species exists, leaving their long-term habitat dynamics poorly documented. To address this gap, we developed the first global annual habitat maps of AIV host birds from 2000 to 2022.
Main Variables Included
We developed a habitat classification framework specific to AIV host birds and produced the global annual terrestrial habitat maps by integrating satellite-derived land cover, climate zones, biome information and topography. The dataset includes 8 Level-1 and 34 Level-2 habitat types, achieving overall accuracies of 0.84 (± 0.08) and 0.83 (± 0.12), respectively.
Time Coverage
The maps span the years 2000–2022, with annual temporal resolution.
Spatial Coverage
The dataset covers global terrestrial surfaces (excluding Antarctica) at a resolution of 300 m.
Taxa
Wild bird species with confirmed AIV detections, with habitat preferences derived from IUCN species-level associations.
Applications
This dataset provides a foundational environmental layer for improving host species distribution models and for examining how environmental change influences habitats used by AIV host birds. It can support downstream ecological and epidemiological analyses within a One Health framework and inform conservation planning and land-use management.
{"title":"Annual Global Habitat Maps of Avian Influenza Host Birds From 2000 to 2022","authors":"Qiang Zhang, Jinwei Dong, Zhichao Li, Xiangming Xiao, Chuan Yan, Nanshan You, Shenglai Yin, Zhengwang Zhang, Nyambayar Batbayar, Keping Ma","doi":"10.1111/ddi.70153","DOIUrl":"10.1111/ddi.70153","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction and Aim</h3>\u0000 \u0000 <p>Long-term changes in wildlife habitats are fundamental for understanding biodiversity change and the ecological contexts that may shape opportunities for host contact or exposure. Avian influenza virus (AIV), one of the most pressing zoonotic threats, is maintained primarily in wild birds whose habitats are undergoing rapid transformation. Yet no globally consistent, temporally explicit habitat dataset tailored to AIV host species exists, leaving their long-term habitat dynamics poorly documented. To address this gap, we developed the first global annual habitat maps of AIV host birds from 2000 to 2022.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Variables Included</h3>\u0000 \u0000 <p>We developed a habitat classification framework specific to AIV host birds and produced the global annual terrestrial habitat maps by integrating satellite-derived land cover, climate zones, biome information and topography. The dataset includes 8 Level-1 and 34 Level-2 habitat types, achieving overall accuracies of 0.84 (± 0.08) and 0.83 (± 0.12), respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Coverage</h3>\u0000 \u0000 <p>The maps span the years 2000–2022, with annual temporal resolution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Coverage</h3>\u0000 \u0000 <p>The dataset covers global terrestrial surfaces (excluding Antarctica) at a resolution of 300 m.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxa</h3>\u0000 \u0000 <p>Wild bird species with confirmed AIV detections, with habitat preferences derived from IUCN species-level associations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Applications</h3>\u0000 \u0000 <p>This dataset provides a foundational environmental layer for improving host species distribution models and for examining how environmental change influences habitats used by AIV host birds. It can support downstream ecological and epidemiological analyses within a One Health framework and inform conservation planning and land-use management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146256317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Travis A. Rainey, Kirsten E. Nicholson, Caitlin P. Wells, Bradley J. Swanson
Aim
Many amphibians are experiencing declines, which are exacerbated for populations near range edges. To inform conservation strategies, we sampled sites of Blanchard's Cricket Frog (Acris blanchardi) at the northern periphery of their range to determine if modern declines are associated with genetic factors, delineate management units, and understand how landscape features influence connectivity.
Location
The southern Lower Peninsula of Michigan, USA.
Methods
We genotyped 777 individuals from 41 sites using 14 microsatellite markers to assess genetic diversity, characterize population structure, and delineate management units. We modeled isolation by distance and the effect of landscape features on functional connectivity using maximum likelihood population effects (MLPE) models.
Results
Despite strong isolation among populations, genetic diversity appears high within Michigan sites. Twenty genetically distinct populations were identified, with evidence of local connectivity within multi-site populations. Landscape genetic analyses revealed that development and roadways between sites hinder gene flow, while forest cover, pasture, and streams facilitate it. A strong isolation by distance pattern exists up to ~20 km, beyond which dispersal is unlikely and genetic drift predominates.
Main Conclusions
The observed genetic diversity of peripheral Acris blanchardi populations in Michigan suggests that recent declines are driven more by demographic factors than by genetic erosion. Management should prioritize preserving connectivity between nearby sites by limiting development, particularly roadways, and maintaining pasture, forest, and stream integrity. Conservation of these genetically diverse peripheral populations is critical for promoting future range shifts and long-term species persistence under climate change.
{"title":"Landscape-Driven Isolation Among, but High Genetic Diversity Within, Peripheral Populations of a Threatened Frog","authors":"Travis A. Rainey, Kirsten E. Nicholson, Caitlin P. Wells, Bradley J. Swanson","doi":"10.1111/ddi.70136","DOIUrl":"10.1111/ddi.70136","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Many amphibians are experiencing declines, which are exacerbated for populations near range edges. To inform conservation strategies, we sampled sites of Blanchard's Cricket Frog (<i>Acris blanchardi</i>) at the northern periphery of their range to determine if modern declines are associated with genetic factors, delineate management units, and understand how landscape features influence connectivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>The southern Lower Peninsula of Michigan, USA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We genotyped 777 individuals from 41 sites using 14 microsatellite markers to assess genetic diversity, characterize population structure, and delineate management units. We modeled isolation by distance and the effect of landscape features on functional connectivity using maximum likelihood population effects (MLPE) models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Despite strong isolation among populations, genetic diversity appears high within Michigan sites. Twenty genetically distinct populations were identified, with evidence of local connectivity within multi-site populations. Landscape genetic analyses revealed that development and roadways between sites hinder gene flow, while forest cover, pasture, and streams facilitate it. A strong isolation by distance pattern exists up to ~20 km, beyond which dispersal is unlikely and genetic drift predominates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>The observed genetic diversity of peripheral <i>Acris blanchardi</i> populations in Michigan suggests that recent declines are driven more by demographic factors than by genetic erosion. Management should prioritize preserving connectivity between nearby sites by limiting development, particularly roadways, and maintaining pasture, forest, and stream integrity. Conservation of these genetically diverse peripheral populations is critical for promoting future range shifts and long-term species persistence under climate change.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Martine Maron, Karlina Indraswari, Jonathan Mills-Anderson, Courtney B. Melton, Hugh Possingham, James Radford, April E. Reside, Andrew Bennett, Allan Burbidge, Michael Clarke, Rohan H. Clarke, Robert Davis, Teresa Eyre, Amanda Freeman, Michelle Gibson, Birgita Hansen, Jacinta Humphrey, Nigel Jackett, Bryony Palmer, Alex Kutt, Nicholas P. Leseberg, Richard Loyn, Alex Maisey, Golo Maurer, Helen Mayfield, Paul McDonald, Helenna Mihailou, Richard Noske, Fred Rainsford, Julian Reid, Doug Robinson, Katherine Selwood, Jeremy S. Simmonds, Rebecca Spindler, Daniella Teixeira, Ayesha Tulloch, Eric Vanderduys, Simon Verdon, David Watson, James Watson, Hannah Fraser
<div> <section> <h3> Aim</h3> <p>Holistic measurement of the response of fauna communities to interventions requires suitable community condition metrics. However, the development of such metrics is hindered by the absence of broad-scale typologies at suitable spatial and ecological resolutions. We aimed to derive a preliminary typology of terrestrial bird communities for Australia, based on bird co-occurrence data, and describe and map the likely distribution of each community type across the continent.</p> </section> <section> <h3> Location</h3> <p>Mainland Australia, continental islands.</p> </section> <section> <h3> Time Period</h3> <p>1973–2022.</p> </section> <section> <h3> Major Taxa Studied</h3> <p>Aves.</p> </section> <section> <h3> Methods</h3> <p>We used fine-scale co-occurrence data from standard 2-ha surveys in BirdLife Australia's citizen-science database. After filtering to reduce bias, we used hierarchical clustering followed by iterative consultation with experts to identify reliably distinct and recognisable terrestrial bird communities across Australia. We used Maxent to model the likely distributions of each community and developed community descriptions based on each community's composition and distribution.</p> </section> <section> <h3> Results</h3> <p>The resultant typology included 29 reliably distinct and recognisable bird communities with major clusters corresponding with seven broad geographical regions. The distributions of bird communities did not correspond tightly to the boundaries of major vegetation groups, with most communities occurring across multiple vegetation types.</p> </section> <section> <h3> Main Conclusions</h3> <p>Our preliminary typology of bird communities provides a standard classification at a continental scale. It newly defines distinct bird communities as entities for which condition benchmarks can be established to allow assessment of their conservation status and monitoring of change over time. Refinement will enable cryptic communities in areas with sparse data to be identified. The method could be translated to other regions where adequate coverage of data in the form of standardised surveys of fauna is available. Vast biodiversity datasets delivered through citizen science programs provide the
{"title":"A Typology of Australian Terrestrial Bird Communities","authors":"Martine Maron, Karlina Indraswari, Jonathan Mills-Anderson, Courtney B. Melton, Hugh Possingham, James Radford, April E. Reside, Andrew Bennett, Allan Burbidge, Michael Clarke, Rohan H. Clarke, Robert Davis, Teresa Eyre, Amanda Freeman, Michelle Gibson, Birgita Hansen, Jacinta Humphrey, Nigel Jackett, Bryony Palmer, Alex Kutt, Nicholas P. Leseberg, Richard Loyn, Alex Maisey, Golo Maurer, Helen Mayfield, Paul McDonald, Helenna Mihailou, Richard Noske, Fred Rainsford, Julian Reid, Doug Robinson, Katherine Selwood, Jeremy S. Simmonds, Rebecca Spindler, Daniella Teixeira, Ayesha Tulloch, Eric Vanderduys, Simon Verdon, David Watson, James Watson, Hannah Fraser","doi":"10.1111/ddi.70143","DOIUrl":"10.1111/ddi.70143","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Holistic measurement of the response of fauna communities to interventions requires suitable community condition metrics. However, the development of such metrics is hindered by the absence of broad-scale typologies at suitable spatial and ecological resolutions. We aimed to derive a preliminary typology of terrestrial bird communities for Australia, based on bird co-occurrence data, and describe and map the likely distribution of each community type across the continent.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Mainland Australia, continental islands.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>1973–2022.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Aves.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used fine-scale co-occurrence data from standard 2-ha surveys in BirdLife Australia's citizen-science database. After filtering to reduce bias, we used hierarchical clustering followed by iterative consultation with experts to identify reliably distinct and recognisable terrestrial bird communities across Australia. We used Maxent to model the likely distributions of each community and developed community descriptions based on each community's composition and distribution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The resultant typology included 29 reliably distinct and recognisable bird communities with major clusters corresponding with seven broad geographical regions. The distributions of bird communities did not correspond tightly to the boundaries of major vegetation groups, with most communities occurring across multiple vegetation types.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our preliminary typology of bird communities provides a standard classification at a continental scale. It newly defines distinct bird communities as entities for which condition benchmarks can be established to allow assessment of their conservation status and monitoring of change over time. Refinement will enable cryptic communities in areas with sparse data to be identified. The method could be translated to other regions where adequate coverage of data in the form of standardised surveys of fauna is available. Vast biodiversity datasets delivered through citizen science programs provide the","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
To assess whether newly described species are more likely to be threatened and have smaller ranges than known species.
Location
Global.
Methods
In this study, we focus on the timing of species acceptance. We compare two global taxonomic assessments of birds, mammals and amphibians conducted approximately 10 years apart. Our approach allows us to isolate the most recently accepted species, a methodological improvement from earlier studies that depended on the recency of authority year to address similar questions. Instead, we categorised all currently accepted species into four groups: (1) Discovered species; (2) Raised species; (3) Restricted species; and (4) Identical species, with category 1 representing de novo discovered species between the taxonomic assessments, category 4 representing unchanged species, and categories 2 and 3 representing changes in taxonomic treatment of known populations.
Results
We find that species accepted earlier tend to be widespread and less threatened, while more recently accepted species often have smaller ranges and face a higher risk of extinction. We also find that taxonomic splits typically leave the original name with a widespread species, while newly split species tend to be range-restricted and more likely to be assessed as threatened.
Main Conclusions
Our results suggest that many species not yet formally recognised may already be at risk of extinction. This highlights the urgent need for more fieldwork in understudied areas to help prevent extinctions before new species are formally described.
{"title":"Species Yet to Be Discovered Are More Threatened and Have Smaller Ranges","authors":"Harith Farooq, Jonas Geldmann, Søren Faurby","doi":"10.1111/ddi.70144","DOIUrl":"10.1111/ddi.70144","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess whether newly described species are more likely to be threatened and have smaller ranges than known species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, we focus on the timing of species acceptance. We compare two global taxonomic assessments of birds, mammals and amphibians conducted approximately 10 years apart. Our approach allows us to isolate the most recently accepted species, a methodological improvement from earlier studies that depended on the recency of authority year to address similar questions. Instead, we categorised all currently accepted species into four groups: (1) Discovered species; (2) Raised species; (3) Restricted species; and (4) Identical species, with category 1 representing <i>de novo</i> discovered species between the taxonomic assessments, category 4 representing unchanged species, and categories 2 and 3 representing changes in taxonomic treatment of known populations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We find that species accepted earlier tend to be widespread and less threatened, while more recently accepted species often have smaller ranges and face a higher risk of extinction. We also find that taxonomic splits typically leave the original name with a widespread species, while newly split species tend to be range-restricted and more likely to be assessed as threatened.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results suggest that many species not yet formally recognised may already be at risk of extinction. This highlights the urgent need for more fieldwork in understudied areas to help prevent extinctions before new species are formally described.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
To assess whether newly described species are more likely to be threatened and have smaller ranges than known species.
Location
Global.
Methods
In this study, we focus on the timing of species acceptance. We compare two global taxonomic assessments of birds, mammals and amphibians conducted approximately 10 years apart. Our approach allows us to isolate the most recently accepted species, a methodological improvement from earlier studies that depended on the recency of authority year to address similar questions. Instead, we categorised all currently accepted species into four groups: (1) Discovered species; (2) Raised species; (3) Restricted species; and (4) Identical species, with category 1 representing de novo discovered species between the taxonomic assessments, category 4 representing unchanged species, and categories 2 and 3 representing changes in taxonomic treatment of known populations.
Results
We find that species accepted earlier tend to be widespread and less threatened, while more recently accepted species often have smaller ranges and face a higher risk of extinction. We also find that taxonomic splits typically leave the original name with a widespread species, while newly split species tend to be range-restricted and more likely to be assessed as threatened.
Main Conclusions
Our results suggest that many species not yet formally recognised may already be at risk of extinction. This highlights the urgent need for more fieldwork in understudied areas to help prevent extinctions before new species are formally described.
{"title":"Species Yet to Be Discovered Are More Threatened and Have Smaller Ranges","authors":"Harith Farooq, Jonas Geldmann, Søren Faurby","doi":"10.1111/ddi.70144","DOIUrl":"https://doi.org/10.1111/ddi.70144","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess whether newly described species are more likely to be threatened and have smaller ranges than known species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, we focus on the timing of species acceptance. We compare two global taxonomic assessments of birds, mammals and amphibians conducted approximately 10 years apart. Our approach allows us to isolate the most recently accepted species, a methodological improvement from earlier studies that depended on the recency of authority year to address similar questions. Instead, we categorised all currently accepted species into four groups: (1) Discovered species; (2) Raised species; (3) Restricted species; and (4) Identical species, with category 1 representing <i>de novo</i> discovered species between the taxonomic assessments, category 4 representing unchanged species, and categories 2 and 3 representing changes in taxonomic treatment of known populations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We find that species accepted earlier tend to be widespread and less threatened, while more recently accepted species often have smaller ranges and face a higher risk of extinction. We also find that taxonomic splits typically leave the original name with a widespread species, while newly split species tend to be range-restricted and more likely to be assessed as threatened.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results suggest that many species not yet formally recognised may already be at risk of extinction. This highlights the urgent need for more fieldwork in understudied areas to help prevent extinctions before new species are formally described.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 2","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
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