Diversity and Distributions最新文献

{"title":"National Park Core Zones Do Not Buffer Insect Pollinators Against Occupancy Declines","authors":"George Allen,&nbsp;Rob Cooke,&nbsp;Lucy Ridding,&nbsp;Ben Woodcock,&nbsp;Deepa Senapathi,&nbsp;Joann Sy,&nbsp;Michael Garratt","doi":"10.1111/ddi.70283","DOIUrl":"https://doi.org/10.1111/ddi.70283","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess the extent to which French national parks mitigate pollinator declines and support biodiversity outcomes across protection gradients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Eight French national parks, including core zones, buffer zones, and surrounding non-park landscapes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed 290,540 occurrence records representing 610 pollinator species (Lepidoptera, Hymenoptera and Diptera) from 2000 to 2023. Species-level occupancy trends were estimated across core, buffer and non-park zones using standardised occupancy modelling frameworks applied consistently across taxa and protection levels. We quantified temporal changes in occupancy, species richness and community turnover, and compared patterns between rare and common species as well as among major taxonomic groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Pollinator occupancy decreased by −41.1% in core zones, −34.0% in buffer zones and −26.6% outside of national parks over the period. Declines were disproportionately driven by losses of common species, which became ‘rarer’ while rare species became more ‘common’. Core zones harboured 27%–50% more rare species than non-park areas and reduced declines in common species richness by approximately 31%. Butterfly (205 sp.) occupancy declined more slowly in core zones (−0.62% year⁻¹) than outside of parks (−2.23% year⁻¹), whereas the occupancy of moths (324 sp.) declined more rapidly in core zones (−5.18% year⁻¹) than elsewhere.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>French national parks partially mitigated pollinator declines by supporting rare species and slowing losses of some taxa, but they did not halt overall declines, even within strictly protected core zones. These findings suggest that protected areas alone are insufficient to reverse insect declines and that stronger or more targeted management interventions may be required if parks are to contribute meaningfully to pollinator conservation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70283","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149206204","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":"Leveraging Species Associations Patterns of Macroalgae in Wrack to Predict Their Spatial Distribution","authors":"Clément Vallé,&nbsp;Agathe Bredel,&nbsp;Martin Thibault,&nbsp;Pauline Poisson,&nbsp;Jean Nabias,&nbsp;Christian Kerbiriou,&nbsp;Isabelle Le Viol","doi":"10.1111/ddi.70211","DOIUrl":"https://doi.org/10.1111/ddi.70211","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Species associations are increasingly recognized as an effective way to improve species distribution model (SDM) predictions by integrating biotic and abiotic information that is difficult to measure in situ. This approach appears promising for monitoring communities where biodiversity and environmental data are sparse or limited. To evaluate its applicability to such communities and to test whether associations estimated in narrow spatial context can capture useful information and be transferred to predict spatial distributions across larger regions, we focused on macroalgal communities in beach wrack.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>France.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To estimate the information captured by macroalgae species associations, we assessed the predictive improvement they provide when added to models of increasing complexity using a random forest approach. We also examined how species traits influence association patterns among 58 species observed at 130 sites in Brittany, western France. Finally, we quantified the improvement in predictive performance when applying these associations to species distribution models across 402 sites along the French Atlantic coast.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that species associations both complement and substitute remote sensing and fine-scale habitat descriptors in predicting individual species distributions. Association patterns were related to certain macroalgae traits (e.g., buoyancy status, initial benthic habitats). They significantly improved large-scale predictive performance, despite being derived from limited sample sizes and narrow spatial contexts, confirming that such associations capture more than initial or local environmental factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Using macroalgal communities in beach wrack, we illustrate that species associations can serve as alternative predictors for communities where biotic and abiotic data are scarce or hard to access. We also highlight their usefulness for predicting at broader spatial scales than those used for their estimation. Leveraging these associations offers promising tools to enhance spatial conservation planning, identify sampling biases and guide efficient surveys (e.g., in exotic or rare species of high conservation concern).</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70211","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205528","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":"Landscape Mapping Reveals Depth-Dependent Regional Heterogeneity in Soil Microbial Diversity","authors":"Xiongfeng Du,&nbsp;Songsong Gu,&nbsp;Linlin Wang,&nbsp;Yuqi Zhou,&nbsp;Zheng Zhang,&nbsp;Zhicheng Ju,&nbsp;Yingcheng Wang,&nbsp;Chengliang Yan,&nbsp;Tong Li,&nbsp;Danrui Wang,&nbsp;Bo Zhao,&nbsp;Xingsheng Yang,&nbsp;Chenchen Zhang,&nbsp;Ping Liu,&nbsp;Shuzhen Li,&nbsp;Zhaojing Zhang,&nbsp;Kai Feng,&nbsp;Mengting Maggie Yuan,&nbsp;Ye Deng","doi":"10.1111/ddi.70276","DOIUrl":"https://doi.org/10.1111/ddi.70276","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To identify microbial hotspots and investigate the spatial distribution and assembly mechanisms of soil bacterial and archaeal communities across a coastal ecosystem, and to assess implications for biodiversity conservation and sustainable land management.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Yellow River Delta, China (YRD, ~13,680 km² coastal plain).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 112 sites were sampled across diverse land-use types along strong gradients of salinity, moisture and nutrients. At each site, soils were collected from three depth intervals (0–20, 20–40 and 40–100 cm), yielding a total of 336 samples for analysis. Microbial community composition and diversity were analysed using high-throughput sequencing, and spatial patterns were evaluated using diversity mapping, distance–decay relationships (DDR) and community assembly modelling.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Hotspot analysis revealed that microbial diversity exhibited marked spatial heterogeneity, with these hotspots primarily located in agricultural and grassland soils characterized by high soil organic matter (SOM) and low salinity. Hotspots became increasingly fragmented with depth. DDR analysis revealed weak but significant patterns: community turnover in the surface layer was primarily associated with nestedness (i.e., species loss), whereas in subsoils, turnover showed a weak positive association with species replacement. Community assembly was consistently shaped by a mixture of homogeneous selection (~40%), dispersal limitation (30%–31%) and drift (22%–24%), but the dominant environmental drivers transitioned from nutrient-based filtering in topsoil to more complex multivariate constraints in deeper layers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Spatially structured and depth-dependent microbial processes reveal that surface-layer diversity hotspots, though accounting for only 7%–13% of the region, harbour up to 40% of microbial taxa and 83% of total abundance. These findings, based on taxonomic diversity, highlight the need for depth-resolved conservation planning that considers both hotspots and the unique taxa in peripheral areas to sustain microbial contributions to ecosystem functions in coastal systems undergoing rapid environmental change.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70276","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205562","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":"Temperature, Sea Ice, Depth, and Traits Drive Fish Distributions in the Barents Sea","authors":"Shannon E. Moore,&nbsp;Federico Maioli,&nbsp;Marcel Montanyès Solé,&nbsp;Raul Primicerio,&nbsp;Laurene Pecuchet","doi":"10.1111/ddi.70279","DOIUrl":"https://doi.org/10.1111/ddi.70279","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Marine species are increasingly impacted by climate change, forcing them to adapt or redistribute to remain within their environmental niches. How the combined effects of environmental gradients and species traits influence the distribution of species with distinct biogeographic affinities remains poorly understood. The goal of this study is to identify the role of the environment, as mediated by species' traits, in shaping the fish communities of a high latitude marine environment with a clear biogeographic transition zone.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>The Barents Sea, a Subarctic ecosystem.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We fit a hierarchical model of species communities (HMSC) using 19 years (2004–2022) of bottom trawl survey data for 67 fish species in the Barents Sea. We incorporated environmental covariates (depth, temperature, salinity, mixed layer depth, and sea ice extent), species' traits (maximum body size, fecundity, and trophic level), and taxonomic relationships to quantify spatially structured community responses to environmental variation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Temperature, sea ice, and depth were the primary drivers of species' distributions across the Barents Sea. Arctic species were associated with cooler, deeper, and ice-covered waters, while boreal species occupied warmer, ice-free areas and exhibited more diverse responses to environmental gradients pointing towards a wider ecological niche. Clear spatial patterns for traits emerged across the polar front, in which smaller, less fecund, and lower trophic level species dominated the north, and larger, more fecund, higher trophic level species dominated the south.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>These findings show that integrating environmental gradients, functional traits, and phylogenetic structure provides a robust framework for understanding fish biogeography and anticipating climate-driven community changes. Our findings are relevant for the continued effective management of this ecologically and economically significant fish community, especially as climate change progresses in this rapidly warming region.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70279","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205305","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":"Species Distribution Models to Identify Drivers and Forms of Plant Species Rarity: Opportunities, Limitations and Research Needs","authors":"Sophie Taddeo,&nbsp;Reed Clark Benkendorf,&nbsp;Jeremie B. Fant,&nbsp;Amy M. Iler,&nbsp;Alexandra Touloupas,&nbsp;Hector G. Ortiz Cano,&nbsp;Gretel Kiefer,&nbsp;Gretta L. Buttelmann,&nbsp;Melissa A. Duda,&nbsp;Jack R. Schooley,&nbsp;Manya Srivastava,&nbsp;Samantha Turner-Rosa","doi":"10.1111/ddi.70275","DOIUrl":"https://doi.org/10.1111/ddi.70275","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Rare species increase diversity, provide unique ecosystem functions and serve as barometers of habitat health. However, many habitats are losing their rare species due to the pressures of climate change, habitat loss and fragmentation. Robust ecological data on the distribution of rare species, the causes of their rarity, their ecological requirements and their population dynamics are needed to enact effective conservation practices. Species Distribution Models (SDMs) are increasingly used to inform conservation interventions; yet several challenges limit their widespread application to rare plant species. These include limited access to up-to-date species occurrence records and environmental predictors reflecting species' ecological niche, particularly at an ecologically relevant resolution.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We systematically review 61 scientific papers that use SDMs to model suitable habitats for rare species. We synthesise various SDM applications used in these papers to identify causes of rarity and inform the conservation of rare species. We use Rabinowitz's Seven Forms of Rarity as a framework to evaluate the effectiveness of these SDM applications for different forms of rarity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>SDMs can estimate the geographic range of species, their placement within this range, shifts and contractions. They can guide field surveys to detect new populations, estimate their size or identify stressors. SDMs can advance our understanding of the habitat requirements of species and how those vary with space, which remains unknown for many rare species. However, some of these applications are better suited for certain types of rarity. Further, we discuss how assessments of population dynamics, genetics and physiology can be combined with various SDM outputs to clarify the causes of rarity and inform conservation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We suggest research directions to help managers identify the SDM applications best suited to various forms of rarity and conclude that SDMs can advance our ecological knowledge of rare species, many of which are understudied.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70275","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145859","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":"Cover page","authors":"","doi":"10.1111/ddi.70277","DOIUrl":"https://doi.org/10.1111/ddi.70277","url":null,"abstract":"<p>The cover image relates to Research Article https://doi.org/10.1111/ddi.70241 “Challenges in Conservation Effectiveness on the Qinghai-Tibet Plateau: An Integrated Assessment Framework for Endemic Plant Species and Spatial Prioritisation” by Zhang et al A ʺsnow rabbitʺ in full bloom – the woolly plant <i>Saussurea medusa</i>, named for the serpentine tangle of its densely woolly leaf lobes that twist and coil like the locks of Medusa – photographed at 4,800 m on the scree slopes of Baima Snow Mountain on the southeastern margin of the Qinghai-Tibetan Plateau, where this endemic invests years of silent growth in a single, terminal flowering before surrendering to the cold (Photo Credit: Yazhou Zhang).\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149072597","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":"Preventing Invasive Non-Native Species: A Horizon Scanning for the Canary Islands","authors":"Ana Clara Sampaio Franco,&nbsp;Carolina Mendes Muniz,&nbsp;Martina Carrete,&nbsp;Pilar Castro-Díez,&nbsp;Miguel Delibes-Mateos,&nbsp;Josep A. Jaques,&nbsp;Mar Leza,&nbsp;Marta López-Darias,&nbsp;Manuel Nogales,&nbsp;Macarena Ros,&nbsp;Xavier Turon,&nbsp;Montserrat Vilà,&nbsp;Óscar Afonso,&nbsp;Inés Álvarez,&nbsp;Andrés Arias,&nbsp;Dani Boix,&nbsp;Carlos Cabido,&nbsp;Eva Cacabelos,&nbsp;Carlos Cano-Barbacil,&nbsp;Miguel Cañedo-Argüelles,&nbsp;Beatriz Dáder,&nbsp;Ramón Gallo-Barneto,&nbsp;Ignacio Gestoso,&nbsp;María González Díaz,&nbsp;David Hernández-Teixidor,&nbsp;José Carlos Hernández,&nbsp;Cayetano Herrera,&nbsp;Marc Martín Solà,&nbsp;Elizabeth Ojeda-Land,&nbsp;Francisco J. Oliva-Paterna,&nbsp;Miguel Antonio Padrón-Mederos,&nbsp;Jairo Patiño,&nbsp;Laura Piñeiro,&nbsp;Núria Roura-Pascual,&nbsp;Marcos Salas-Pascual,&nbsp;Elisa Viñuela,&nbsp;Emili García-Berthou","doi":"10.1111/ddi.70248","DOIUrl":"https://doi.org/10.1111/ddi.70248","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Oceanic islands host exceptional biodiversity and endemism but are highly vulnerable to biological invasions. We aimed to identify non-native species with high potential to invade the Canary Islands within the next decade and to prioritise them based on their environmental and socioeconomic risks.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>The Canary Islands, Macaronesia, northeastern Atlantic Ocean.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We applied a structured horizon scanning protocol with a global scope. A panel of 37 experts assessed 823 species across five thematic groups (marine species, freshwater animals, terrestrial vertebrates, terrestrial invertebrates and plants) by scoring their likelihood of arrival, establishment and impacts. Impacts were evaluated separately as environmental and socioeconomic. Agreement and consistency among experts were quantified, and two consensus-based ranked lists were developed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Although agreement in expert scores was relatively low, species rankings showed high consistency. A total of 94 species were identified as priorities for prevention based on environmental impacts (12 very high risk, 82 high risk), while 49 species were prioritized for socioeconomic impacts (2 very high, 47 high). Environmental risks were dominated by lizards, snakes and freshwater fish, whereas socioeconomic risks were mainly concentrated on insects. Environmental and socioeconomic impact scores were only weakly related, underscoring the value of independent evaluation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>This study provides a horizon scanning explicitly focused on the Canary Islands, with separate assessments of environmental and socioeconomic risks. Our results highlight taxonomic groups that warrant urgent attention, show that invasion risk patterns vary depending on the spatial and contextual scale of assessment and provide a proactive tool to support surveillance, early warning systems and biosecurity measures. By anticipating future threats, this work contributes methodological and applied advances with broad relevance for conservation biogeography and invasive species management in island ecosystems.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70248","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146993","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":"Darwin's Naturalization Conundrum in the Azores: Scale-Dependent Patterns of Arthropod Invasion","authors":"Guilherme Oyarzabal,&nbsp;Pedro Cardoso,&nbsp;François Rigal,&nbsp;Mário Boieiro,&nbsp;Ana M. C. Santos,&nbsp;Isabel R. Amorim,&nbsp;Jagoba Malumbres-Olarte,&nbsp;Ricardo Costa,&nbsp;Sébastien Lhoumeau,&nbsp;Gábor Pozsgai,&nbsp;Rosalina Gabriel,&nbsp;Paulo A. V. Borges","doi":"10.1111/ddi.70265","DOIUrl":"https://doi.org/10.1111/ddi.70265","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;To test the mechanisms governing the assembly of exotic arthropods within endemic-rich island communities by evaluating Darwin's naturalization conundrum, which predicts that invasion success occurs through either functional dissimilarity from native species (Naturalization Hypothesis) or functional similarity with them (Pre-adaptation Hypothesis).&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;Azores archipelago, Portugal, North Atlantic Ocean.&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 long-term spatial and temporal data from two standardized monitoring programmes in Azorean native forests: the BALA project (spatial dataset) and the SLAM project (temporal dataset). The dataset included more than 100 species of spiders and beetles sampled across multiple islands over two decades. Using functional trait approaches, we quantified exotic–endemic community structure across spatial and temporal scales and compared observed patterns with null expectations to assess functional similarity or dissimilarity.&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;Across both datasets, most Standard Effect Sizes (SES) values clustered around zero, indicating that exotic assemblages were largely indistinguishable from null expectations relative to endemic communities. This neutral pattern was consistent for exotic spiders across all spatial and temporal scales, providing no support for either Darwinian hypothesis. Exotic beetles, however, showed weak but detectable functional overdispersion at broader spatial scales and through time, suggesting limited and context-dependent support for the Naturalization Hypothesis. Overall, the pattern found is consistent with stochastic processes that appear to dominate exotic–endemic functional relationships, although this cannot be demonstrated directly from SES values alone.&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 results suggest that deterministic competition plays a minor role in structuring exotic arthropod assemblages in Azorean native forests. Instead, landscape-level processes, particularly the pressure from surrounding anthropogenic habitats and environmental filtering linked to forest fragmentation, likely shape invasion dynamics. These findings highlight the importance of human-modified landscapes in influencing community assembly and provide insights into how invasion processes operate in insular ecosystems.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 &lt;/div","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70265","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149072583","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":"Complementary Hotspots of Vegetation Diversity in Andean Patagonian Forests","authors":"Natalia Z. Joelson,&nbsp;Thomas Kitzberger,&nbsp;Helge Walentowski","doi":"10.1111/ddi.70253","DOIUrl":"https://doi.org/10.1111/ddi.70253","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Examining spatial relationships among three vegetation diversity metrics—species richness (<i>S</i>), rarity-weighted richness (RWR) and local contribution to beta diversity (LCBD) as a measure of compositional uniqueness and quantifying the spatial congruence of their hotspots to assess conservation value.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Andean Patagonian temperate forests of the eastern Rio Puelo watershed (Argentina).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used floristic surveys of vascular plants combined with random forest models to predict spatial patterns of vegetation richness, rarity and uniqueness. We identified hotspots (top 5% of values) for each metric and quantified their congruence employing Jaccard indices. Using null models, we tested whether richness and uniqueness hotspots are more spatially segregated than expected by chance (repulsion hypothesis) and whether rarity and uniqueness hotspots show greater overlap than expected by chance (attraction hypothesis).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Models explained 36%, 27% and 49% of variance in richness, rarity and uniqueness respectively (cross-validated <i>R</i>²), with climatic variables as the dominant predictors. Hotspots showed near-complete spatial segregation between richness and uniqueness (<i>J</i> = 0.1%; <i>ρ</i> = 0.004, n.s.), while rarity and uniqueness showed significant spatial attraction (<i>J</i> = 3.6%; <i>ρ</i> = 0.611, <i>p</i> = 0.001), though the low rarity model accuracy limits confidence in the spatial precision of this association. Richness hotspots in shrublands and wetlands were dominated by widespread warm-environment taxa, while uniqueness hotspots in subalpine forests harboured cold-adapted specialists.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>No single diversity metric captures full vegetation conservation value. Patagonian forests exhibit complementary hotspots structured by climatic gradients. Coarse-resolution predictors adequately capture richness and uniqueness patterns but are insufficient to map fine-scale rarity. Conservation should adopt a portfolio approach protecting species-rich montane forests and shrublands, compositionally unique subalpine forests, and rare-species habitats across ecotonal forests.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 10","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70253","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149072675","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":"Repurposing Legacy Reduced-Representation Genomic Datasets for Conservation Biogeography: Lessons From Hercules Beetles Across Neotropical Ecoregions","authors":"Jen-Pan Huang","doi":"10.1111/ddi.70273","DOIUrl":"https://doi.org/10.1111/ddi.70273","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The study aimed to explore the opportunities and challenges of repurposing previously published reduced-representation genomic datasets for conservation biogeography post the Kunming-Montreal Agreement. Specifically, the study evaluates how historical climate fluctuations, habitat size, and recent anthropogenic disturbances may be associated with differences in genetic diversity among charismatic Hercules beetles across ecoregions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Northern Neotropics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Combining site frequency spectrum and linkage disequilibrium based approaches with preexisting population genomic data and a reference genome, I assessed how historical climate fluctuations and recent anthropogenic forest exploitation shaped the observed genomic diversity. Additionally, continental, island and captive-bred samples were included to evaluate the performance of different indices for measuring genomic diversity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>During the Pleistocene, although climatic fluctuations occurred frequently, most species maintained stable or increasing effective population sizes (Ne). In contrast, recent demographic inferences reveal fluctuating and uncertain Ne trajectories. Interestingly, the Central American species, <i>D. septentrionalis</i>, shows a possible recent Ne increase when the full dataset was used; however, this pattern became less clear when SNP subsampling was applied. Individuals of continental species generally exhibit higher genetic diversity than insular species; however, such patterns may depend on sequence quality as well as the filtering methods applied to the data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Historical forest dynamics shape current genomic diversity in Neotropical beetles, but their impacts on genetic diversity differ across time. Importantly, results from the Central America species imply that forest protection and restoration may lead to demographic recovery, although caution should be applied because of the uncertainty associated with estimating recent demographic history. This study shows that previously published reduced-representation genome-wide datasets originally designed for other study foci can be repurposed for comparative conservation genomics as high-quality reference genomes become increasingly available.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51018,"journal":{"name":"Diversity and Distributions","volume":"32 9","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ddi.70273","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148994592","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}