Global Ecology and Biogeography最新文献

{"title":"MOBS 1.0: A Database of Interspecific Variation in Marine Organismal Body Sizes","authors":"Craig R. McClain,&nbsp;Noel A. Heim,&nbsp;Matthew L. Knope,&nbsp;Pedro M. Monarrez,&nbsp;Jonathan L. Payne,&nbsp;Isaac Trindade Santos,&nbsp;Thomas J. Webb","doi":"10.1111/geb.70062","DOIUrl":"https://doi.org/10.1111/geb.70062","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Body size is a fundamental trait influencing an organism's life history, ecology, physiology and evolutionary dynamics. While extensive body-size databases exist for terrestrial vertebrates, equivalent datasets for marine animals are lacking, even though they include a much larger number of species. This data gap hinders comparative and macroecological analyses that rely on body-size data to uncover evolutionary and ecological patterns and processes in marine ecosystems. The Marine Organismal Body Size (MOBS) Database aims to address this deficit by providing standardised body-size data for marine animals, enabling deeper investigations into marine biodiversity and informing conservation and ecological theory.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>The MOBS Database includes maximum linear dimensions of marine animals, specifically height, length, width and diameter. Additional fields include species taxonomy (linked to AphiaIDs in the World Register of Marine Species), notes about measurements and data sources.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>The dataset is global in scope, encompassing marine species across all oceanic regions, but does not itself contain geographic data. Integrations with databases like the Ocean Biodiversity Information System (OBIS) can yield spatially resolved analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period and Grain</h3>\u0000 \u0000 <p>Modern, extant species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>MOBS focuses on marine animals (kingdom Animalia), covering 30 marine phyla. The database currently contains data for 85,204 species (40.4% of valid marine animal species in WoRMS), with seven phyla surpassing 75% coverage. Measurements are reported at the species level, with some records including multiple observations to account for intraspecific variations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>The MOBS Database is available in csv format and is hosted on GitHub for public access (https://github.com/crmcclain/MOBS_OPEN).</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213926","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":"A Comprehensive Occurrence Dataset for European Ostracoda Inhabiting Groundwater and Groundwater-Dependent Ecosystems","authors":"Nataša Mori,&nbsp;Živa Vehovar,&nbsp;Traian Brad,&nbsp;Gergely Balázs,&nbsp;Constanze Englisch,&nbsp;Cene Fišer,&nbsp;Santiago Gaviria,&nbsp;Sanja Gottstein,&nbsp;Christian Griebler,&nbsp;Marius Kenesz,&nbsp;Lee R. F. D. Knight,&nbsp;Florian Malard,&nbsp;Stefano Mammola,&nbsp;Pierre Marmonier,&nbsp;Alejandro Martínez,&nbsp;Maja Zagmajster","doi":"10.1111/geb.70065","DOIUrl":"https://doi.org/10.1111/geb.70065","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Groundwater ecosystems sustain a unique and globally important biodiversity but remain understudied due to sampling and exploration challenges, as well as a shortage of taxonomic experts. Groundwater ostracods, like other groundwater taxa, exhibit a high degree of endemism, rarity and subterranean specialisation, positioning them as potentially vulnerable organisms. To better understand biodiversity patterns and the conservation needs of this highly diverse group, we assembled a team of experts to gather the most comprehensive information available about groundwater ostracods in Europe. We present a dataset comprising 2065 occurrence records of 110 species, 11 undescribed species and 5 subspecies of groundwater ostracods. This open dataset may support future research on the distribution, evolutionary pathways and conservation needs of European groundwater ostracods, as well as inspire targeted sampling efforts in regions with currently limited data available.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>Occurrence records of groundwater ostracods, with details about taxonomy, source of records, occurrence locality, habitat type and species dependence on groundwater (obligate [stygobiont] versus facultative groundwater-dwellers [stygophile]).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>Geographical Europe, spanning 32 countries. Occurrence records were assigned decimal degrees coordinates (EPSG:4326). Most occurrence records are at 100 m resolution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>1915–2024.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>Crustacea: Ostracoda. Most records have species or subspecies-level identification, while some are identified to genus or family levels.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>Comma-separated values file (.csv) and Excel file (.xlsx), with UTF-8 encoding and metadata provided following the Darwin Core standard.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Trail—Understanding Non-Native Plant Invasions in Mountain Ecosystems","authors":"Agustina Barros,&nbsp;Eduardo Fuentes Lillo,&nbsp;Valeria Aschero,&nbsp;Aníbal Pauchard,&nbsp;María Alisa Alvarez,&nbsp;Ronja Wedegärtner,&nbsp;Jan Clavel,&nbsp;Jana Müllerová,&nbsp;Jan Pergl,&nbsp;Shengwei Zong,&nbsp;Michaela Vítková,&nbsp;Tereza Klinerová,&nbsp;Lohengrin A. Cavieres,&nbsp;Christian Larson,&nbsp;Lisa J. Rew,&nbsp;Tim Seipel,&nbsp;Chloe Meffre,&nbsp;Tomas Arellano,&nbsp;Franz Essl,&nbsp;Stefan Dullinger,&nbsp;Onalenna Gwate,&nbsp;V. Ralph Clark,&nbsp;Marc Achermann,&nbsp;Sylvia Haider,&nbsp;Jonas J. Lembrechts","doi":"10.1111/geb.70060","DOIUrl":"https://doi.org/10.1111/geb.70060","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>We aimed to examine the abiotic, biotic and anthropogenic drivers of non-native plant species distribution along hiking trails in mountainous regions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Nine mountain regions across six continents, including North America (USA), South America (Argentina and Chile), Europe (Sweden, Norway, Czech Republic), Africa (South Africa), Asia (China) and Oceania (Australia).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Data were collected between 2016 to 2022 during the summer season.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Vascular plants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We implemented a standardised sampling design (MIREN trail survey) with T-shaped sample sites placed parallel to trails and perpendicular to adjacent vegetation. We examined the main drivers (abiotic, biotic and anthropogenic factors) affecting non-native species' presence, richness and cover.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>At the global scale, abiotic (climatic) variables explained most of the variation in non-native species richness. In contrast, biotic factors were the most important for the presence and cover of non-native plants. Anthropogenic factors, including distance to the trail, use intensity and livestock grazing, were also important but to a lesser extent than the main factors. While the total number of non-native species differed across regions, the patterns explaining plant invasions were consistent.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our regional study identified mountain trails that are particularly vulnerable to plant invasions. Our findings suggest that under future scenarios of climate change, increased anthropogenic pressure and heightened livestock activity, the presence of non-native species beyond trail edges may become more frequent. This highlights the need to restrict off-trail activities in areas of high conservation value.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil Depth Matters: Divergent Drivers of Ecosystem Productivity in Alpine Ecosystems","authors":"Shanshan Qi,&nbsp;Gangsheng Wang,&nbsp;Wanyu Li,&nbsp;Daifeng Xiang,&nbsp;Shuhao Zhou,&nbsp;Zehao Lv","doi":"10.1111/geb.70071","DOIUrl":"https://doi.org/10.1111/geb.70071","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aim&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Deep soils (&gt; 30 cm) store considerable amounts of carbon and are often assumed to be less responsive to warming than topsoil. However, recent evidence indicates that deep soils are more sensitive to climate change in alpine grasslands, yet their influence on ecosystem productivity is not well understood. Here, we tested the key environmental drivers, particularly the roles of deep soil moisture and temperature, of alpine ecosystem productivity across different vegetation types and plant growth constraints.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Location&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The Qinghai-Tibetan Plateau (QTP), the Earth's Third Pole.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Time Period&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;2003–2021.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Sedge, grass and forbs.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We introduced the plant growth limitation index (GLI) to classify alpine sites as either energy- or water-limited sites, using solar radiation and soil moisture as proxies for energy and water availability. We employed the random forest models to quantify dominant environmental drivers of gross primary productivity (GPP) and net ecosystem productivity (NEP) at 14 alpine sites across four vegetation types (alpine meadow, steppe, wetland and shrub) on the QTP.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We identified divergent drivers of ecosystem productivity varying with soil depth and GLI classifications. In water-limited sites, productivity was more responsive to soil variables than to radiation, with deep soil temperature and moisture exerting greater influence than their surface counterparts. In contrast, energy-limited sites were primarily driven by topsoil temperature and radiation, with deep soil moisture remaining more influential than topsoil moisture. In alpine wetlands, deep soil temperature emerged as the dominant driver.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We advance the concept of plant growth constraints by introducing deep soil moisture as a key regulator, demonstrating its direct controls on alpine vegetation productivity. Our findings challenge previous studies that focused solely on topsoil, offering new insights into the interactions between productivity and environmental drivers in alpine ecosystems. This improved understanding supports more accurate projections of carbon sequestration under global change.&lt;/p&gt;\u0000 &lt;/","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179287","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":"Evolutionarily Distinct Species and Their Partners Have Fewer Links in Ecological Networks","authors":"Avery M. Kruger,&nbsp;T. Jonathan Davies","doi":"10.1111/geb.70066","DOIUrl":"https://doi.org/10.1111/geb.70066","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Ecological networks describe the complex set of interconnections among species and their environment, and network structure can inform the stability, resilience, and functioning of ecosystems. Increasing attention is being paid to the mechanisms that determine species interactions. Phylogeny has informed our understanding of connections within networks, mostly by describing the strength of phylogenetic conservation of interactions. Here, we examine how the phylogenetic position of a species relates to its functional position within a network, testing the relationship between phylogenetic and network topologies.</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>Early 20th century to present.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Birds and plants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used a large dataset of frugivore interactions to calculate the network degree of focal species (degree) and the partners they interact with (partner degree) and bird and plant phylogenies to calculate local evolutionary distinctiveness (ED), a measure of evolutionary distinctiveness calculated on a community-level phylogeny. We then fit binomial Bayesian models to estimate the effect of species' local ED on their degree and that of their partners. In avian networks, we incorporated bird traits from AVONET in models to determine their contributions to degree and partner degree relative to those of local ED.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The partners of both high local ED birds and plants tend to have fewer interactions in a network than do partners of low local ED species, and birds with high local ED tend to interact with fewer plant species. In birds, the statistical effect sizes of local ED on degree and partner degree are comparable to or larger than those of measured traits.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our analysis illustrates how phylogenetic relationships affect present-day ecologies and underscores the unique ecological contribution of evolutionary outliers.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Growth Onset Rather Than Photosynthesis Strongly Regulates Autumn Senescence Termination Besides Climate Change","authors":"Shuping Ji,&nbsp;Shilong Ren,&nbsp;Yann Vitasse,&nbsp;Constantin M. Zohner,&nbsp;Yongshuo H. Fu,&nbsp;Xiaoqiu Chen,&nbsp;Xiaoyang Zhang,&nbsp;Charlotte Grossiord,&nbsp;Huiying Liu,&nbsp;Matthias Peichl,&nbsp;Dailiang Peng,&nbsp;Shuai An,&nbsp;Yating Li,&nbsp;Maihe Li,&nbsp;Lei Fang,&nbsp;Jinyue Chen,&nbsp;Xinfeng Wang,&nbsp;Qingzhu Zhang,&nbsp;Guoqiang Wang,&nbsp;Qiao Wang","doi":"10.1111/geb.70068","DOIUrl":"https://doi.org/10.1111/geb.70068","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aim&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Plant senescence largely influences the global carbon cycle by regulating the growing season length. However, the driving mechanisms of plant senescence remain unclear, particularly the role of developmental factors. This study aims to investigate how environmental and developmental factors drive autumn senescence and evaluate whether woody and herbaceous plants exhibit divergent responses to these drivers.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Location&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Eurasia.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Time Period&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;1982–2014.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Woody and herbaceous species.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Using 120,833 long-term ground phenological observations, we employed partial correlation analysis to investigate the influence of environmental and developmental factors on senescence termination. Experimental records from literature and pasture survey observations from China were separately utilised to further validate the influence of developmental factors on senescence termination. Structural equation modelling was applied to analyse the pathways of growth onset affecting senescence termination. Additionally, multiple linear regression was used to examine the tendency of the sensitivity of senescence termination to plant development rate.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We find that earlier growth onset primarily leads to earlier senescence termination directly in herbaceous plants, but indirectly in woody plants by accelerating early-season development. The sensitivity of senescence termination to plant development rate shows a declining trend, particularly in early-season negative effects on woody plants and late-season positive effects on herbaceous plants, suggesting diminished impacts of future warming on senescence timing. The impact of growing season photosynthetic activity on senescence termination is not pronounced for both woody and herbaceous plants.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The results demonstrate that growth onset may affect woody and herbaceous senescence termination through different pathways, whereas the carry-over effects of growing season photosynthetic activity are not widely discovered. This emphasises that the introduction of developmental factors into phenological models needs to be considered carefully according to plant type.&lt;/p&gt;\u0000 ","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135692","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":"Wetland Restoration Is Effective but Insufficient to Compensate for Soil Organic Carbon Losses From Degradation","authors":"Yanan Wu,&nbsp;Ruiyang Zhang,&nbsp;Andrew S. MacDougall,&nbsp;Dashuan Tian,&nbsp;Jinsong Wang,&nbsp;Shuli Niu","doi":"10.1111/geb.70063","DOIUrl":"https://doi.org/10.1111/geb.70063","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess the effectiveness of wetland restoration in reversing soil organic carbon (SOC) loss from degradation.</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>1996–2023.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Wetland.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a global meta-analysis to compare SOC levels in restored, degraded, and natural wetlands across different restoration approaches and wetland types and to examine the dynamic trajectories of SOC recovery and the influence of climatic and edaphic factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that passive restoration increased SOC in degraded sites by 141%, compared to an 8% increase from active restoration. Restored inland wetlands showed an increase in SOC of 118%, while coastal wetlands showed a limited improvement of 5%, in comparison with degraded wetlands. Increases in SOC primarily occurred within the first 10 years after restoration and then levelled off. That being said, SOC accumulation in restored wetlands rarely approached the levels found in natural wetlands, highlighting the importance of protecting wetlands from degradation for SOC targets. Key factors for wetland SOC restoration were total soil nitrogen and mean annual temperature.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>We conclude that wetland restoration is effective but insufficient to compensate for SOC losses from degradation. This study provides valuable insights for climate change mitigation through wetland restoration, supporting the goals of the United Nations Decade on Ecosystem Restoration and the Paris Agreement.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144091654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifaceted Precipitation Patterns Impact Biocrust Functionality in Drylands: A Cascade of Variability via Species Replacement in Soil Microbiota","authors":"Xiaoyu Guo,&nbsp;Zuowen Wang,&nbsp;Hua Li,&nbsp;Haijian Yang,&nbsp;Weibo Wang,&nbsp;Lirong Song,&nbsp;Chunxiang Hu","doi":"10.1111/geb.70061","DOIUrl":"10.1111/geb.70061","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aim&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The influences of climatic gradients on biodiversity and functionality in arid ecosystems are increasingly evident. While soil microbes are susceptible to precipitation patterns, the mechanisms through which their variations affect the delivery of multiple ecosystem functions via microbial communities are poorly understood. Here, we examined the direct effect of precipitation gradients on multifunctionality and the indirect effect mediated by soil microorganisms and edaphic properties in drylands.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Location&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Northwestern China.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Time Period&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Field investigation in 2020.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Multitrophic microbiota in biocrusts.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We analysed 38 years of daily precipitation data to quantify multifaceted characteristics and spatial variations, including gradients of mean amount, frequency, and variability. Community structures of heterotrophic bacteria, fungi, and photoautotrophic cyanobacteria were determined via amplicon sequencing to measure taxonomic and phylogenetic &lt;i&gt;α&lt;/i&gt;-diversity and spatial turnover. Local multifunctional levels (&lt;i&gt;α&lt;/i&gt;-multifunctionality) and their pairwise dissimilarity/asynchrony (&lt;i&gt;β&lt;/i&gt;-multifunctionality) were depicted based on functional variables related to biocrusts. We investigated how precipitation and microbial diversity jointly influence soil multifunctionality.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We found historical precipitation variability, rather than mean annual precipitation, emerged as the primary driver promoting functional variance, leading to a convergence of less beneficial microbial species under high precipitation fluctuations. Although species richness across trophic levels positively influenced local functions, phylogenetic dissimilarity was a key predictor for soil photoautotrophs. As a &lt;i&gt;β&lt;/i&gt;-diversity component, species replacement consistently enhanced multifunctional dissimilarity and asynchrony of biocrusts. Notably, a cascading process was identified where the indirect effect of precipitation heterogeneity, regulated by microbial &lt;i&gt;β&lt;/i&gt;-diversity, accounted for a higher proportion of variance in &lt;i&gt;β&lt;/i&gt;-multifunctionality than direct climate influence.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This study highlights the i","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066391","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":"Ecological Specialisation of Reef Fishes Peaks in Global Biodiversity Hotspots","authors":"Zoé Delecambre,&nbsp;Renato A. Morais,&nbsp;Alexandre C. Siqueira,&nbsp;Emma Paul Costesec,&nbsp;Caroline E. Dubé,&nbsp;Sergio R. Floeter,&nbsp;Alan M. Friedlander,&nbsp;Fabien Leprieur,&nbsp;Yves Letourneur,&nbsp;Lucas T. Nunes,&nbsp;Jordan M. Casey,&nbsp;Valeriano Parravicini","doi":"10.1111/geb.70050","DOIUrl":"https://doi.org/10.1111/geb.70050","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aim&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The role of ecological specialisation in shaping biogeographic and evolutionary patterns remains unresolved. To date, few studies have quantitatively examined consumer niche breadth at a global scale. We describe global biogeographic and diversification patterns of specialisation, measured using trophic and thermal niches, for a highly diverse assemblage of consumers: reef fishes. First, we investigated the confluence of specialisation with global biogeographic patterns in species richness and reef area. Then, we tested whether these patterns could be explained by differences in diversification rates and geographic ranges.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Location&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Tropical reefs across the globe.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Time Period&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Present.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Reef fishes.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;To estimate trophic specialisation, we compiled a comprehensive dataset on reef fish trophic interactions from published gut content analyses, including dietary information for ~5000 individuals across 387 fish species. We used the geographic range of species and global temperature data to estimate thermal specialisation of reef fishes. We used distributional data and Bayesian Structural Equation Modelling to test for the correlation between biogeographic variables, species richness, and the prevalence of trophic or thermal specialisation in reef fish assemblages. Moreover, we used linear models to test for a correlation between reef fish diversification rates, geographic range, and their degree of trophic and thermal specialisation.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our analysis suggests that species richness is positively associated with trophic specialisation in reef fishes, with isolated and species-depauperate communities supporting assemblages dominated by trophic and thermal generalists. We found no effect of trophic and thermal specialisation on diversification rates and geographic range at the species level.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our findings indicate that specialisation is favoured in large, biodiversity-rich regions, but specialists might show lower capacity for colonisation, with lower representation on smaller, isolated reefs. These results contribute to our understanding of the dynamics shaping fish biogeography on coral reefs.&lt;/p&gt;\u0000 ","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143944786","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":"BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series","authors":"Maria Dornelas,&nbsp;Laura H. Antão,&nbsp;Amanda E. Bates,&nbsp;Viviana Brambilla,&nbsp;Jonathan M. Chase,&nbsp;Cher F. Y. Chow,&nbsp;Ada Fontrodona-Eslava,&nbsp;Anne E. Magurran,&nbsp;Inês S. Martins,&nbsp;Faye Moyes,&nbsp;Alban Sagouis,&nbsp;Samuel Adu-Acheampong,&nbsp;Daniel Acquah-Lamptey,&nbsp;Dušan Adam,&nbsp;Penelope A. Ajani,&nbsp;Aitor Albaina,&nbsp;Pablo Almaraz,&nbsp;Jeongseop An,&nbsp;Roger Sigismund Anderson,&nbsp;Madelaine Jean Robertson Anderson,&nbsp;Alexsander Z. Antunes,&nbsp;Ivan Arismendi,&nbsp;Linda Armbrecht,&nbsp;Pedro Aros-Mardones,&nbsp;Sreejith Kalpuzha Ashtamoorthy,&nbsp;Narayanan Ayyappan,&nbsp;Gal Badihi,&nbsp;Joseph J. Bailey,&nbsp;Andrew H. Baird,&nbsp;Mark Edward Baird,&nbsp;Sreekumar Vadakkethil Balakrishnan,&nbsp;José António L. Barão-Nóbrega,&nbsp;Adi Barash,&nbsp;Miguel Barbosa,&nbsp;Jos Barlow,&nbsp;Claus Bässler,&nbsp;Matthieu Beaumont,&nbsp;Natalie Beenaerts,&nbsp;Tiago Octavio Begot,&nbsp;Wallace Beiroz,&nbsp;Ricardo Beldade,&nbsp;David M. Bell,&nbsp;Alecia Bellgrove,&nbsp;Jonathan Belmaker,&nbsp;Lisandro Benedetti-Cecchi,&nbsp;Cassandra E. Benkwitt,&nbsp;Pamela Medina-van Berkum,&nbsp;Brandon T. Bestelmeyer,&nbsp;Matthew G. Betts,&nbsp;Maxwell Kelvin Billah,&nbsp;Anne D. Bjorkman,&nbsp;Magdalena Błażewicz,&nbsp;Christopher P. Bloch,&nbsp;Shane A. Blowes,&nbsp;Antonio Bode,&nbsp;Juliano A. Bogoni,&nbsp;Thomas Bolger,&nbsp;Timothy C. Bonebrake,&nbsp;Erik Bonsdorff,&nbsp;Roberta Bottarin,&nbsp;Luke N. Brokensha,&nbsp;Rob W. Brooker,&nbsp;Andrew J. Brooks,&nbsp;Helge Bruelheide,&nbsp;Thiago Almeida Bueno,&nbsp;Claire Laguionie,&nbsp;Mariana Lopes Campagnoli,&nbsp;James Cant,&nbsp;Erica Pellegrini Caramaschi,&nbsp;Alexandre Caron,&nbsp;Tadhg Carroll,&nbsp;Tancredi Caruso,&nbsp;Juan Carvajal-Quintero,&nbsp;Giuseppe Castaldelli,&nbsp;Edward Castañeda-Moya,&nbsp;Pedro V. Castilho,&nbsp;Sonia Zanini Cechin,&nbsp;Shahar Chaikin,&nbsp;Uchangi Manjunatha Chandrashekara,&nbsp;Tory J. Chase,&nbsp;Chaolun Allen Chen,&nbsp;Jorge José Cherem,&nbsp;Sei-Woong Choi,&nbsp;Erica M. Christensen,&nbsp;Alexander V. Christianini,&nbsp;Jackson Wing Four Chu,&nbsp;Peter Coad,&nbsp;Carl Van Colen,&nbsp;Lise Comte,&nbsp;Elisabeth J. Cooper,&nbsp;J. Hans C. Cornelissen,&nbsp;Eddy Cosson,&nbsp;Unai Cotano,&nbsp;Luc Crevecoeur,&nbsp;Shannan Kyle Crow,&nbsp;Graeme S. Cumming,&nbsp;Vanessa S. Daga,&nbsp;Gabriella Damasceno,&nbsp;Gergana N. Daskalova,&nbsp;Claire H. Davies,&nbsp;Robert A. Davis,&nbsp;Frank P. Day,&nbsp;Sussy De-La-Zerda,&nbsp;Amy Elizabeth Deacon,&nbsp;Indradatta de Castro-Arrazola,&nbsp;Steven Degraer,&nbsp;Kharran Deonarinesingh,&nbsp;Juan C. Diaz-Ricaurte,&nbsp;Christopher R. Dickman,&nbsp;Tara Dirilgen,&nbsp;Ciaran John Dolan,&nbsp;J. Emmett Duffy,&nbsp;Timothy E. Dunn,&nbsp;Giselda Durigan,&nbsp;Ciara Dwyer,&nbsp;Stevan Earl,&nbsp;Dor Edelist,&nbsp;Graham John Edgar,&nbsp;Sally Edmondson,&nbsp;Ashley K. Elgin,&nbsp;Kari Elsa Ellingsen,&nbsp;Sarah C. Elmendorf,&nbsp;Ruth S. Eriksen,&nbsp;S. K. Morgan Ernest,&nbsp;Ruben Escribano,&nbsp;Paula Cabral Eterovick,&nbsp;Brian S. Evans,&nbsp;Jason D. Everett,&nbsp;Vesela Evtimova,&nbsp;Dan A. Exton,&nbsp;Andrew J. Fairbairn,&nbsp;Felipe Moreli Fantacini,&nbsp;Fabiano Turini Farah,&nbsp;Fábio Zanella Farneda,&nbsp;Mario E. Favila,&nbsp;Philippe Fernandez-Fournier,&nbsp;Braulio Fernández-Zapata,&nbsp;Diogo F. Ferreira,&nbsp;Carola Ferronato,&nbsp;Christopher R. du Feu,&nbsp;Alessandra Fidelis,&nbsp;David A. Fifield,&nbsp;Vilmar Picinatto Filho,&nbsp;Walter Mesquita Filho,&nbsp;Robert N. L. Fitt,&nbsp;Carlos A. H. Flechtmann,&nbsp;William R. Fraser,&nbsp;Donna L. Fraser,&nbsp;Lídia Freixas,&nbsp;John Fryxell,&nbsp;Garrett J. Fundakowski,&nbsp;Scott Stanley Gabara,&nbsp;Elise Gallois,&nbsp;Mariana García Criado,&nbsp;Emili García-Berthou,&nbsp;Joaquim Garrabou,&nbsp;Andrew R. Gates,&nbsp;Roberto Cazzolla Gatti,&nbsp;Anna Gavioli,&nbsp;Tal Gavriel,&nbsp;Benoit Gendreau-Berthiaume,&nbsp;Xingli Giam,&nbsp;Carina Gjerdrum,&nbsp;Michael Glemnitz,&nbsp;Jasmin Annica Godbold,&nbsp;Daniel Gómez-Gras,&nbsp;Rodrigo Barbosa Gonçalves,&nbsp;Andy Goold,&nbsp;Richard R. Gordon,&nbsp;Menachem Goren,&nbsp;Fernando Vilas Boas Goulart,&nbsp;William A. Gould,&nbsp;Meagan M. Grabowski,&nbsp;Nicholas A. J. Graham,&nbsp;Maurício Eduardo Graipel,&nbsp;Laura J. Grange,&nbsp;Aaron C. Greenville,&nbsp;Gary D. Grossman,&nbsp;Valeria A. Guinder,&nbsp;Peter Haase,&nbsp;Gary N. Haskins,&nbsp;Kris Havstad,&nbsp;Luise Hermanutz,&nbsp;Michael Julian Hames Hickford,&nbsp;Pamela Hidalgo,&nbsp;Pedro Higuchi,&nbsp;Andrew S. Hoey,&nbsp;Gert Van Hoey,&nbsp;Annika Hofgaard,&nbsp;Kristen T. Holeck,&nbsp;Robert D. Hollister,&nbsp;Richard T. Holmes,&nbsp;Mia Odell Hoogenboom,&nbsp;Joaquín Hortal,&nbsp;Tammy Horton,&nbsp;Chih-hao Hsieh,&nbsp;Christine L. Huffard,&nbsp;Ida-Maria Huikkonen,&nbsp;Allen H. Hurlbert,&nbsp;Julian Hynes,&nbsp;Pascal Irz,&nbsp;Natalia Macedo Ivanauskas,&nbsp;Akemi Iwayama,&nbsp;Darren K. James,&nbsp;Ute Jandt,&nbsp;Anna M. Jażdżewska,&nbsp;Merlijn Jocque,&nbsp;Sophie T. Johnston,&nbsp;Samuel E. I. Jones,&nbsp;Faith A. M. Jones,&nbsp;Julia A. Jones,&nbsp;Edite Jucevica,&nbsp;Ugis Kagainis,&nbsp;Maiko Kagami,&nbsp;Jungwon Kang,&nbsp;Xuejia Ke,&nbsp;Erin Colleen Keeley,&nbsp;Rebecca Kinnear,&nbsp;Kari Klanderud,&nbsp;Uwe Klinck,&nbsp;Roel van Klink,&nbsp;Stefan Klotz,&nbsp;Carolien Knockaert,&nbsp;Halvor Knutsen,&nbsp;Matti Koivula,&nbsp;Alessandra Kortz,&nbsp;Peter Kriegel,&nbsp;Chao-Yang Kuo,&nbsp;David J. Kushner,&nbsp;Rosina Kyerematen,&nbsp;Raphaël Lagarde,&nbsp;Lesley T. Lancaster,&nbsp;Ori Frid Landau,&nbsp;Wouter Van Landuyt,&nbsp;Eric R. Larson,&nbsp;Mai Lazarus,&nbsp;Cheol Min Lee,&nbsp;Jonathan S. Lefcheck,&nbsp;Jonas J. Lembrechts,&nbsp;Renato A. Ferreira de Lima,&nbsp;Romullo Guimarães Lima,&nbsp;Nathália G. S. Lima,&nbsp;Cristina Linares,&nbsp;Sandra C. Lindstrom,&nbsp;Francisco Lloret,&nbsp;John David Lloyd,&nbsp;Cleonice Maria Cardoso Lobato,&nbsp;David M. Lodge,&nbsp;Peter Richard Long,&nbsp;Celeste López-Abbate,&nbsp;Adrià López-Baucells,&nbsp;Julio Louzada,&nbsp;Maite Louzao,&nbsp;Antonella Lugliè,&nbsp;Micheli Ribeiro Luiz,&nbsp;S. Ellen Macdonald,&nbsp;Joshua S. Madin,&nbsp;André Lincoln Barroso Magalhães,&nbsp;Rajindra Mahabir,&nbsp;David Maphisa,&nbsp;Thomas Edward Martin,&nbsp;Marcio Martins,&nbsp;Patrick T. Martone,&nbsp;Silvia Matesanz,&nbsp;Shin-ichiro S. Matsuzaki,&nbsp;Thomas J. Matthews,&nbsp;Iain McCombe Matthews,&nbsp;Connie J. Maxwell,&nbsp;Kent P. McFarland,&nbsp;Brian J. McGill,&nbsp;Diane Marie McKnight,&nbsp;Michael J. McWilliam,&nbsp;Jason Meador,&nbsp;Henning Meesenburg,&nbsp;Kristin Meier,&nbsp;Viesturs Melecis,&nbsp;Peter L. Meserve,&nbsp;Christoph F. J. Meyer,&nbsp;Anders Michelsen,&nbsp;Natali Oliva Roman Miiller,&nbsp;Marco Milardi,&nbsp;Nataliya Milchakova,&nbsp;Robert J. Miller,&nbsp;Jonathan Millett,&nbsp;Tom Moens,&nbsp;Luciano F. A. Montag,&nbsp;Jon Moore,&nbsp;Jörg Müller,&nbsp;Akhil Murali,&nbsp;Shauna Ann Murray,&nbsp;Isla H. Myers-Smith,&nbsp;Randall W. Myster,&nbsp;Masahiro Nakamura,&nbsp;Sasi Nayar,&nbsp;Francis Neat,&nbsp;James A. Nelson,&nbsp;Michael Paul Nelson,&nbsp;Boris P. Nikolov,&nbsp;Rym Nouioua,&nbsp;Collins Ayine Nsor,&nbsp;Michael O'Connor,&nbsp;Edward Adzesiwor Obodai,&nbsp;Amy Marie Offland,&nbsp;Romà Ogaya,&nbsp;Hisako Ogura,&nbsp;Thomas A. Okey,&nbsp;Julian D. Olden,&nbsp;Luiz Gustavo Rodrigues Oliveira-Santos,&nbsp;Jeffrey C. Oliver,&nbsp;Esben Moland Olsen,&nbsp;Vladimir G. Onipchenko,&nbsp;Daniel Oro,&nbsp;Davis Ozolins,&nbsp;Krzysztof Pabis,&nbsp;Bachisio Mario Padedda,&nbsp;Facundo X. Palacio,&nbsp;Alain Paquette,&nbsp;Sinta Trilestari Pardede,&nbsp;David M. Paterson,&nbsp;Sarah Pausina,&nbsp;Raphaël Pélissier,&nbsp;Steven C. Pennings,&nbsp;Josep Penuelas,&nbsp;Felipe Walter Pereira,&nbsp;Nivaldo Peroni,&nbsp;Sergio Picó,&nbsp;Francesca Pilotto,&nbsp;Hudson Tercio Pinheiro,&nbsp;Oscar Pizarro,&nbsp;Roberto Pizzolotto,&nbsp;Francesco Pomati,&nbsp;Paulo Santos Pompeu,&nbsp;Dominique Ponton,&nbsp;Eric Post,&nbsp;Nicolas Poulet,&nbsp;Juha Pöyry,&nbsp;Steven J. Presley,&nbsp;Herbert H. T. Prins,&nbsp;Pieter Provoost,&nbsp;Kathleen L. Prudic,&nbsp;Vignesh Punjayil,&nbsp;Petr Pyšek,&nbsp;Pascal Querner,&nbsp;Juan Pablo Quimbayo,&nbsp;Indar W. Ramnarine,&nbsp;Daniel C. Reed,&nbsp;Peter Bernard Reich,&nbsp;Suzanne M. Remillard,&nbsp;Cerren Richards,&nbsp;Anthony James Richardson,&nbsp;Itai van Rijn,&nbsp;Victor H. Rivera-Monroy,&nbsp;Christian Rixen,&nbsp;Kevin Peter Robinson,&nbsp;Ricardo Rocha,&nbsp;Ricardo R. Rodrigues,&nbsp;Cassy Rodrigues,&nbsp;Bjørn de Roos,&nbsp;Denise de C. de Rossa-Feres,&nbsp;Loreta Rosselli,&nbsp;Peter Charles Rothlisberg,&nbsp;Ana Rubio,&nbsp;Lars G. Rudstam,&nbsp;Catalina S. Ruz,&nbsp;Nancy B. Rybicki,&nbsp;Gunther Van Ryckegem,&nbsp;Andrew L. Rypel,&nbsp;Jon P. Sadler,&nbsp;Victor Satoru Saito,&nbsp;Sofia Sal,&nbsp;Renato Portela Salomão,&nbsp;Nathan J. Sanders,&nbsp;Flavio A. M. Santos,&nbsp;Tiago Gomes dos Santos,&nbsp;Swapan Kumar Sarker,&nbsp;Sara E. Scanga,&nbsp;Marcus Schaub,&nbsp;Jochen Schmidt,&nbsp;Inger Kappel Schmidt,&nbsp;Robert L. Schooley,&nbsp;Alfred Schultz,&nbsp;Alberto Scotti,&nbsp;Amanda Serpell-Stevens,&nbsp;Filipe C. Serrano,&nbsp;Elizabeth H. Shadwick,&nbsp;Matthew Shaft,&nbsp;Thomas W. Sherry,&nbsp;Erika Mayumi Shimabukuro,&nbsp;Jacek Siciński,&nbsp;Caya Sievers,&nbsp;Fernando Rodrigues da Silva,&nbsp;Ana Carolina da Silva,&nbsp;Juliana M. Silveira,&nbsp;Tadeu Siqueira,&nbsp;Arunkumar Kavidapadinjattathil Sivadasan,&nbsp;Prasad Theruvil Parambil Sivan,&nbsp;Agnija Skuja,&nbsp;Amalia L. Slaughter,&nbsp;Jasper A. Slingsby,&nbsp;Joseph R. Smith,&nbsp;Bruno Eleres Soares,&nbsp;Martin Solan,&nbsp;Flaviana Maluf Souza,&nbsp;Gabriel B. G. Souza,&nbsp;Joshua L. Sprague,&nbsp;Ulrich Stachow,&nbsp;J. John Stadt,&nbsp;Christopher D. Stallings,&nbsp;Radoslav Hristov Stanchev,&nbsp;Emily H. Stanley,&nbsp;Brian M. Starzomski,&nbsp;Jose Mauro Sterza,&nbsp;Maarten Stevens,&nbsp;F. Gary Stiles,&nbsp;Stefan Stoll,&nbsp;Rick D. Stuart-Smith,&nbsp;Yzel Rondon Súarez,&nbsp;Laura Super,&nbsp;Sarah R. Supp,&nbsp;Tapio Sutela,&nbsp;Iain M. Suthers,&nbsp;Anna Suuronen,&nbsp;Kerrie M. Swadling,&nbsp;Daniel K. Szydlowski,&nbsp;Hisatomo Taki,&nbsp;Sara Jeanne Snell Taylor,&nbsp;Pablo A. Tedesco,&nbsp;Nils Teichert,&nbsp;Akira Terui,&nbsp;Gary P. Thiede,&nbsp;Anne Thimonier,&nbsp;Oliver Thomas,&nbsp;Peter Allan Thompson,&nbsp;Simon Thorn,&nbsp;Jeremy S. Tiemann,&nbsp;Luís Felipe Toledo,&nbsp;Anne Tolvanen,&nbsp;Maria Teresa Zugliani Toniato,&nbsp;Ignasi Torre,&nbsp;Marcos Adriano Tortato,&nbsp;Kumiko Totsu,&nbsp;Andrew Trant,&nbsp;Robert R. Twilley,&nbsp;Hirokazu Urabe,&nbsp;Pierre Valade,&nbsp;Nelson Valdivia,&nbsp;Martha Isabel Vallejo,&nbsp;Thomas J. Valone,&nbsp;Jan Vanaverbeke,&nbsp;Tiago Silveira Vasconcelos,&nbsp;Teppo Vehanen,&nbsp;Fábio Venturoli,&nbsp;Hans M. Verheye,&nbsp;Hendrik Jannes Wietse Vermeulen,&nbsp;Arne Verstraeten,&nbsp;Marcelo Vianna,&nbsp;Rui Vieira,&nbsp;João Paulo Santos Vieira-Alencar,&nbsp;Marc Vilella,&nbsp;Jean Ricardo Simões Vitule,&nbsp;Lien Van Vu,&nbsp;Robert B. Waide,&nbsp;Paige S. Warren,&nbsp;Joseph Paul Wayman,&nbsp;Sara L. Webb,&nbsp;Benjamin Weigel,&nbsp;Ellen A. R. Welti,&nbsp;Fritha West,&nbsp;Fulgor Westermann,&nbsp;Matthew A. Whalen,&nbsp;Ethan P. White,&nbsp;Claire E. Widdicombe,&nbsp;Richard Williams,&nbsp;Mark Williamson,&nbsp;Michael R. Willig,&nbsp;Sonja Wipf,&nbsp;Eric J. Woehler,&nbsp;Alje Woldering,&nbsp;Kerry D. Woods,&nbsp;Wu-Bing Xu,&nbsp;Ruthy Yahel,&nbsp;Zeren Yang,&nbsp;Kyle J. A. Zawada,&nbsp;Camila Zornosa-Torres,&nbsp;Assaf Zvuloni","doi":"10.1111/geb.70003","DOIUrl":"https://doi.org/10.1111/geb.70003","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Included</h3>\u0000 \u0000 <p>The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period and Grain</h3>\u0000 \u0000 <p>The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>The database includes any eukaryotic taxa, with a combined total of 56,400 taxa.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>csv and. SQL.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950085","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}