Diversity and Distributions最新文献

{"title":"rarestR: An R Package Using Rarefaction Metrics to Estimate α- and β-Diversity for Incomplete Samples","authors":"Yi Zou,&nbsp;Peng Zhao,&nbsp;Naicheng Wu,&nbsp;Jiangshan Lai,&nbsp;Pedro R. Peres-Neto,&nbsp;Jan C. Axmacher","doi":"10.1111/ddi.13954","DOIUrl":"https://doi.org/10.1111/ddi.13954","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Species abundance data is commonly used to study biodiversity patterns. In this context, comparing α- and β-diversity across incomplete samples can lead to biases. Therefore, it is essential to employ methods that enable standardised and accurate comparisons of α- and β-diversity across varying sample sizes. In addition, biodiversity studies also often require robust estimates of the total number of species within a community and the number of species shared by two communities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Innovation</h3>\u0000 \u0000 <p>Rarefaction methods are commonly used to calculate α-diversity for standardised sample sizes, and they can also serve as the basis for calculating β-diversity. In this application note, we present <span>rarestR</span>, a new R package designed for calculating abundance-based α- and β-diversity measures for inconsistent samples using rarefaction-based metrics. The package also includes parametric extrapolation techniques to estimate the total expected number of species within a community, as well as the total number of species shared between two communities. Additionally, <span>rarestR</span> provides visualisation tools for curve-fitting associated with these estimators.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Overall, the <span>rarestR</span> package is a valuable tool for comparing α- and β-diversity values among incomplete samples, such as those involving highly mobile or species-rich taxa. In addition, our species estimators offer a complementary approach to non-parametric methods, including the Chao series of estimators.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13954","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117563","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}

{"title":"Natural and Artificial Structures Influence the Movement and Habitat Connectivity of Whale Sharks (Rhincodon typus) Across Seascapes","authors":"Ben D'Antonio,&nbsp;Luciana C. Ferreira,&nbsp;Rebecca Fisher,&nbsp;Michele Thums,&nbsp;Charitha B. Pattiaratchi,&nbsp;Ana M. M. Sequeira,&nbsp;Cal Faubel,&nbsp;Samantha Reynolds,&nbsp;Brad Norman,&nbsp;Mark Meekan","doi":"10.1111/ddi.13950","DOIUrl":"https://doi.org/10.1111/ddi.13950","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To understand how natural geomorphological features and oil and gas platforms (OG platforms) influence the habitat use and seascape connectivity of the whale shark (<i>Rhincodon typus</i>).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>East-Indian Ocean and North-West Australia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compiled a satellite tracking dataset of 78 whale sharks tagged across a 14-year period at Ningaloo Reef and Shark Bay World Heritage Areas in Western Australia to develop spatial networks for the regions of the East-Indian Ocean and North-West Australia. We then applied a Bayesian modelling framework to assess the effects of natural features and OG platforms on spatial patterns and habitat connectivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Geomorphological features such as pinnacles, canyons, and seamounts promoted habitat connectivity and strongly influenced the habitat use of whale sharks across both regional (1000's km; East-Indian Ocean) and local (100's km; North-West Australia) spatial scales. In the North-West of Australia, OG platforms had similar effects on habitat use as natural feature types and also enhanced habitat connectivity. The OG platforms most visited by whale sharks were situated close to the edge of the continental shelf and near natural geomorphological features that likely enhance productivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusion</h3>\u0000 \u0000 <p>Our work identified natural geomorphological features that promoted habitat use and connectivity for whale sharks across oceanic and coastal seascapes. Sharks routinely visited OG platforms, which acted as migratory stepping stones that further enhanced habitat connectivity. Protection of natural feature types that promote habitat use and connectivity could assist conservation management of whale sharks. We suggest that the influence of OG platforms on their movement and habitat use beyond individual structures, should be considered in environmental impact assessments during operation and decommissioning phases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13950","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116186","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}

{"title":"The Indigenous Range of the Tiger (Panthera tigris)","authors":"Eric W. Sanderson,&nbsp;Dale G. Miquelle,&nbsp;Abishek Harihar,&nbsp;Urs Breitenmoser,&nbsp;Christine Breitenmoser-Würsten,&nbsp;David M. Cooper,&nbsp;Kaveh Faziolahi,&nbsp;Kim Fisher,&nbsp;John Goodrich,&nbsp;Thomas N. E. Gray,&nbsp;Aili Kang,&nbsp;Andrew C. Kitchener,&nbsp;Douglas C. MacMillan,&nbsp;Stephane Ostrowski,&nbsp;Lucinda Royte,&nbsp;Kanchan Thapa,&nbsp;Nobuyuki Yamaguchi","doi":"10.1111/ddi.13947","DOIUrl":"https://doi.org/10.1111/ddi.13947","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Indigenous range maps are fundamental documents in biogeography, phylogeny and conservation. We define the indigenous range of a species as ecoregions (or parts of ecoregions) where the species was likely found before humans became a major factor shaping the species' distribution, beginning at a time when the geographical alignment of the continents and the prevailing climate are (or at least were) roughly consistent with current conditions. We developed a structured, generally applicable method to map a species' indigenous range and applied this process to the tiger (<i>Panthera tigris</i>).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Terrestrial Asia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To guide our mapping, we synthesised a database of over 70,000 tiger observations with dates and locations. We developed a structured Delphi process to assign categories of indigenous range to ecoregions aided by a climate niche model. We analysed tiger habitat change at the ecoregional scale using the anthropogenically modified biomes (‘Anthrome 12K’) dataset to suggest dates of first significant human impact. Finally, we estimated extirpation dates for ecoregions where tigers have been extirpated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found the tiger once occupied a likely indigenous resident range of approximately 11.5 million km², crossing 116 ecoregions. We also mapped an additional c. 11.7 million km² of exploratory range and 1.2 million km² of possible resident range. Collectively these areas overlap with 36 modern countries. Significant human disruption of the species' habitat seems to have begun over 6000 years ago in some areas, but in other regions has yet to materialise. In few arid ecoregions, human activities appear to have modestly increased habitat availability in the past, yet overall tigers have lost between 90% and 95% of their indigenous range over the last 8500 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>We define the ‘indigenous range’ of a species, develop a replicable biogeographical procedure, apply the procedure to the tiger and discuss transferability to other species.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13947","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116185","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}

{"title":"Southward Migration: How Climate Change Alters the Prey Dynamics of Spotted Seal in Western Pacific Ocean","authors":"Yugui Zhu,&nbsp;Jiaxing Song,&nbsp;Wenli Xu,&nbsp;Daomin Peng,&nbsp;Bin Kang,&nbsp;Chunlong Liu,&nbsp;Gabriel Reygondeau,&nbsp;Yunfeng Wang,&nbsp;William W. L. Cheung,&nbsp;Jiansong Chu","doi":"10.1111/ddi.13957","DOIUrl":"https://doi.org/10.1111/ddi.13957","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The Ocean is the major carrier of energy storage of the earth and is greatly affected by climate change and human activities. The spotted seal (<i>Phoca largha</i>) is a national first-class protected species in China and is the only pinniped species that breeds in China waters. This study investigated the impacts of climate change on the distribution of primary prey fish species of spotted seal from 1970 to 2060, and based on the results and conclusions, conservation strategies for spotted seals are proposed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>The Yellow and Bohai Seas, China.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Three earth system models and the dynamic bioclimate envelope model are used to predict the distribution of the primary prey fish species of spotted seal under two climate scenarios in this study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The projections show that from 1970 to 2060, the prey fish species of spotted seal shifted southward by 82.06 and 87.91 km under the RCP2.6 and RCP8.5 scenarios, and compared with 1970, the northern limit of primary prey fish species latitudinal distribution shifted northward, the relative abundance increased, and the total maximum catch potential increases under two scenarios (the increment is more obvious under RCP8.5 scenario) in 2060. In addition, the mean temperature of the relative abundance value of the primary prey fish species increases at an average rate of 0.044°C/decade under RCP2.6 scenario and 0.072°C/decade under RCP8.5 scenario.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>From 1970 to 2060, the primary prey fish species of spotted seal are projected to migrate to lower latitudes, and projections show an expansion of the distribution range of primary prey fish species, an increase in the relative abundance increases in the Bohai Sea and the northern Yellow Sea, a slight increase in the maximum catch potential increases slightly in 2060 compared to 1970, and the mean temperature of the relative abundance increases greatly with the increase of greenhouse gas emissions. According to the results of the study, the conservation of spotted seals should clearly delineate the shoreline at the boundary of the core area, prohibit industrial development and artificial encroachment and build an ecological corridor.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116409","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}

{"title":"Benefits of Modelling Abundance for Rare Species Conservation: A Case Study With Multiple Birds Across One Million Hectares","authors":"Simon J. Verdon,&nbsp;Rhys Makdissi,&nbsp;William F. Mitchell,&nbsp;Rebecca L. Boulton,&nbsp;James Q. Radford","doi":"10.1111/ddi.13956","DOIUrl":"https://doi.org/10.1111/ddi.13956","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Many management programs that are based on the needs of rare or threatened species are ineffective because they fail to collect enough data to reliably estimate abundance and map distributions for their target species. Information that does exist for rare species is often based on presence-only data, because it is difficult to collect sufficient data on abundance for such species. We targeted 10 rare bird species that were excluded from a recent study due to insufficient data. For these species, we aimed to (a) collect sufficient abundance data, (b) identify important locations and (c) estimate population sizes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>A large reserve system (~1 M-ha) in south-eastern Australia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We undertook intensive field surveys, using repeat area searches of 660 independent 25-ha sites, totalling 2640 hours of surveys (2-h surveys; two surveys per site). We used N-mixture models to estimate abundance whilst accounting for imperfect detection.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>This survey effort returned enough high-quality data on nine rare bird species to identify important locations and estimate their population sizes. To illustrate potential applications of mapped important locations, we used our results to assess the likely impact of a planned burn program in part of the study region. We identified planned burns that are likely to have a significant impact on important locations for rare species that may not have otherwise been identified. Populations were generally larger than previously estimated using expert opinion. For example, our population estimate for the threatened Red-lored Whistler (<i>Pachycephala rufogularis</i>) was ~16 times larger than the previous estimate.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results show (a) the benefits of using abundance to identify important locations for rare species, (b) the value of developing bespoke survey methods for estimating abundance of rare species with low detectability and (c) a pathway for the application of mapped important locations in conservation land management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13956","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116184","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}

{"title":"How to Identify Priority Sites for Invasive Alien Species Policy and Management","authors":"David A. Clarke,&nbsp;Rohan H. Clarke,&nbsp;Melodie. A. McGeoch","doi":"10.1111/ddi.13970","DOIUrl":"https://doi.org/10.1111/ddi.13970","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Identifying priority species and introduction pathways has long been a goal of national and international policy for reducing and mitigating the impacts of invasive alien species (IAS). Although identifying priority sites for invasion management is included within Target 6 of the Kunming–Montreal Global Biodiversity Framework, methods for doing so that capture both site sensitivity (i.e., the level of biodiversity value) and susceptibility to invasion have received little attention. Here we describe and implement a data-driven approach to priority site identification that integrates spatial conservation planning and biodiversity modelling techniques.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Australia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We use the modelled distributions of 5113 Australian native species and 12 invasive alien insect species as a case study for demonstrating a data-driven approach for identifying priority sites for the purposes of IAS surveillance and management. The approach consists of three components, namely the identification of sensitive, susceptible and subsequently their overlap (i.e., priority sites). We also compare our approach with a proposed alternative for use as priority sites, Australia's key biodiversity area (KBA) network.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Numerous sensitive sites were identified across Australia using a large and taxonomically diverse set of native species and areas of known conservation importance. Most IAS distributions had a high degree of overlap with sensitive sites, with 10 out 12 species having median site sensitivities above 0.70. We also demonstrate that, by comparison, using KBA's as priority sites can underestimate the potential threat of environmentally invasive alien insects.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Given that sites most susceptible to invasion may not be the most sensitive, implementing site-based prioritisation approaches should account for both components of priority site identification to guide IAS management and most effectively mitigate their environmental impacts. The approach demonstrated here can be applied at multiple national and sub-national scales and improve the efficiency of interventions for IAS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13970","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115977","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}

{"title":"Anthropogenic Pressures Lead to Different Patterns of Niche Contraction and Protected Area Cover in Three Species Procapra Gazelles on Qinghai-Tibet Plateau and Mongolia","authors":"Y. Zhu,&nbsp;J. A. Britnell,&nbsp;J. Shi,&nbsp;B. Buuveibaatar,&nbsp;S. Shultz","doi":"10.1111/ddi.13949","DOIUrl":"https://doi.org/10.1111/ddi.13949","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Anthropogenic threats often lead to range contraction towards the margins of a species historic niche, resulting in increased extinction risk. Here, we investigate niche characteristics of current and historic populations to evaluate changes in ‘Area of Niche’ (AON) following range loss from different levels of anthropogenic threats three congeneric Asian gazelle species are facing: Przewalski's (<i>Procapra przewalskii</i>), Tibetan (<i>P. picticaudata</i>) and Mongolian gazelles (<i>P. gutturosa</i>).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Tibet, Qinghai and Mongolia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We collated range maps for historic and contemporary distributions of Przewalski's, Tibetan and Mongolian gazelles and created 3-dimensional hypervolume and convex hull niche models using environmental variables from the Worldclim dataset (v2) together with topographic information from SRTM elevation data from historic and contemporary Area of Habitat maps and evaluated changes over time. We calculated Area of Niche (AON) maps by projecting a scaled Mahalanobis distance from the historic niche centroid of each grid cell onto each species' historic range. Finally, we evaluated how the protected area network overlaps with historic niche characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The endangered Przewalski's gazelle has lost almost all its range and niche, with remaining populations at niche peripheries. In contrast, the near-threatened Tibetan and least-concern Mongolian gazelles have lost less range and niche and contracted towards their historic niche centre. Protected areas for each species were biased towards the ecological margins of their historic ranges, which can result in sub-optimal conservation strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>This study uses niche modelling to evaluate changes in Area of Niche (AON) occupied by a species that has undergone range contraction. We highlight that species most affected by anthropogenic threats are most vulnerable to niche shift and contraction. These species are also vulnerable to a mismatch between the protected area network and species historic niche space. We advocate that conservation strategies should include niche dynamics as an indicator of the species risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13949","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114769","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}

{"title":"Local Climatic Effects on Colonisation and Extinction Drive Changes in Mountain Butterfly Communities","authors":"Guim Ursul,&nbsp;Mario Mingarro,&nbsp;Sara Castro-Cobo,&nbsp;Juan Pablo Cancela,&nbsp;Helena Romo,&nbsp;Robert J. Wilson","doi":"10.1111/ddi.13967","DOIUrl":"https://doi.org/10.1111/ddi.13967","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The capacity of cool refugia to protect cold-adapted species against climate change may depend on both their initial climatic conditions and how quickly these change. We test how local climatic conditions influence mountain butterfly communities via their effects on colonisation and local extinction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Four mountain ranges in Central Spain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used community temperature index (CTI), based on the climatic niches of constituent species (species temperature index, STI), to estimate thermal affinities for butterfly communities sampled in 1984–2005 to 2017–2022. We related CTI to local temperature, estimated using the model <i>Microclima</i>, and tested for changes to local temperature and CTI over time. We used standard deviation in CTI (CTI_SD) and species richness to detect effects of colonisation and local extinction on community change. Finally, we tested for differences in thermal affinity and thermal niche breadth (STI_SD) between species undergoing local extinction or colonisation at each site.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>CTI was positively related to local temperature in both periods. However, there were regional differences in rates of change in CTI and local temperature. CTI increased overall, even though temperatures decreased at many sites; and CTI increases were greatest in historically cool sites. Neither CTI_SD nor species richness changed overall, suggesting that communities experienced equivalent numbers of colonisations and extinctions. Colonising species had warmer thermal affinities than those undergoing local extinction, and species with broader thermal niches increased their occupancy most over time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Local climatic conditions influenced changes to community composition based on species thermal tolerances, resulting in the loss of communities where cool-affinity species predominated, and a narrower range of community thermal affinities overall. Our results suggest that a regional perspective to identifying climate change refugia is needed to provide a wide range of local climate conditions and rates of change to help adapt conservation to climate change.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13967","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114740","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}

{"title":"Indirect Effects and Context Dependency in Stream Fish Invasions","authors":"William K. Annis,&nbsp;Lily M. Thompson,&nbsp;Stephen R. Midway,&nbsp;Julian D. Olden,&nbsp;Brandon K. Peoples","doi":"10.1111/ddi.13968","DOIUrl":"https://doi.org/10.1111/ddi.13968","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Invasion ecology is replete with a body of well-supported yet contradictory evidence for numerous invasion hypotheses, likely as a result of context dependency. Context dependency in invasion studies can arise in two ways: (1) <i>apparent</i>, when results differ between studies solely due to methodical differences, or (2) <i>mechanistic</i>, when results truly differ due to ecological processes. One form of apparent context dependency occurs when causally linked factors associated with invasion success (hereafter, <i>invasion drivers</i>) either mask or enhance each other's effect on invasion success. Mechanistic context dependency can occur when regional scale processes modify the influence of local scale invasion processes. Together, apparent and mechanistic context dependency likely give rise to conflicting support between invasion hypotheses via confounding effects of causally related invasion drivers and region-specific invasion processes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>2339 stream segments in two ecoregions of the United States.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using local scale stream fish community data for two distinct ecoregions, we constructed identical path models to estimate the direct and indirect effects of invasion drivers on nonnative richness. We chose one variable to index invasion drivers from each of the following categories: propagule pressure, natural abiotic, anthropogenic abiotic and biotic factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found evidence of apparent context dependency through the presence of indirect effects, in which the effects of propagule pressure and biotic factors on nonnative richness were modulated by abiotic factors. The indirect effects of invasion drivers differed between both regions, providing evidence of mechanistic context dependency.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Apparent and mechanistic context dependency can lead to conflicting evidence between studies of invasion hypotheses. Accounting for indirect effects of invasion drivers is important in gaining a more general understanding of the invasion process. Furthermore, because indirect effects varied regionally, it is important to understand the large-scale processes that contextualise local invasion processes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13968","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114528","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}

{"title":"Supporting Wildlife Restoration in Eastern States via State Wildlife Action Plans","authors":"L. Mark Elbroch,&nbsp;John A. Vucetich,&nbsp;Christa Rose,&nbsp;Jeremy T. Bruskotter","doi":"10.1111/ddi.13971","DOIUrl":"https://doi.org/10.1111/ddi.13971","url":null,"abstract":"<p>The biodiversity crisis is driven by extinction at two scales: the global extinction of species and the local extirpation of populations (i.e., range contraction). Local extirpations are especially acute in the eastern United States, which has lost a substantial portion of its native mammalian fauna. Species restoration in the U.S., therefore, should be utilised more to revitalise and restore degraded systems. State wildlife agencies can elevate discussions about species restoration and facilitate internal capacity to conduct restoration projects by including locally extirpated species in State Wildlife Action Plans, which are currently under revision, and will guide state conservation programs for the next 10 years.</p>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"31 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.13971","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114527","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}