Journal of Biogeography最新文献

{"title":"Cover","authors":"","doi":"10.1111/jbi.14896","DOIUrl":"https://doi.org/10.1111/jbi.14896","url":null,"abstract":"<p>On the cover: A Chinese pangolin (<i>Manis pentadactyla</i>) walking across a pathway. Like pangolins, many ecological specialists are poorly covered by the protected areas. Photo credit: Wei Liu.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":"i"},"PeriodicalIF":3.4,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbi.14896","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612375","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","authors":"","doi":"10.1111/jbi.14888","DOIUrl":"https://doi.org/10.1111/jbi.14888","url":null,"abstract":"<p>On the cover: The European adder (<i>Viper berus</i>) is a polymorphic species with a vast distribution, occurring from western Europe to the Russian far East. Photo credit: Niels Jansen.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 3","pages":"i"},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbi.14888","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380018","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":"Cloud Forest Tree Growth Responses to Climate and Drought Vary by Island and Species in the Macaronesian Region","authors":"María A. García-López,&nbsp;Ana I. García-Cervigón,&nbsp;Rui Bento Elias,&nbsp;Victoria Calvo-Donate,&nbsp;José María Fernández-Palacios,&nbsp;Miguel García-Hidalgo,&nbsp;Susana Gómez-González,&nbsp;Manuela Gouveia,&nbsp;Miguel Menezes de Sequeira,&nbsp;José M. Olano,&nbsp;David S. Pescador,&nbsp;Gabriel Sangüesa-Barreda,&nbsp;Vicente Rozas","doi":"10.1111/jbi.15091","DOIUrl":"https://doi.org/10.1111/jbi.15091","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Macaronesian cloud forests are insular ecosystems subjected to local environmental variability, but the responses of their tree species to climate variations have never been studied. Our aim was to assess how the variation in environmental conditions associated with the geographical location of several islands in three Macaronesian archipelagos affects the growth patterns and drought-resistance of the dominant cloud forests trees.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Azores, Madeira and Canary archipelagos. Portugal and Spain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxon</h3>\u0000 \u0000 <p>Lauraceae, Aquifoliaceae, Clethraceae, Oleaceae, Rosaceae and Cupressaceae.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We assessed variations in the radial growth response of 10 cloud forest tree species from 18 populations on 5 islands along a geographical gradient in Macaronesia. We quantified the influence of local climatic variables and North Atlantic Oscillation (NAO) and East Atlantic Pattern (EA) circulation patterns on tree growth and how drought events affected to the resistance, recovery and resilience indices estimated for these species.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Trees from the same island showed similar growth patterns, particularly in islands with marked hydric stress. In Madeira and the Canary Islands, radial growth was mainly determined by water availability, winter NAO negatively affected growth and droughts caused abrupt narrow growth-ring width. In the Azores, the effect of the EA was positive, as it increased temperature and relative humidity and promoted growth. Trees from wetter environments demonstrated higher growth resistance to drought, while trees from drier sites showed faster growth recovery after drought events.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Homogeneous growth patterns among species from the same island suggested that the radial growth of trees in cloud forests is mostly determined by local environmental conditions, which are more important for their growth than phenotypic traits. The variability in water availability determined by a latitudinal geographical gradient throughout the Macaronesian region influenced both the climatic response of the trees and their resilience to drought.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Distribution and Protection of Ecological Specialists in Chinese Terrestrial Mammals","authors":"Ling-Ying Shuai,&nbsp;Yanina Benedetti,&nbsp;Federico Morelli,&nbsp;Zhu-Cheng Gao,&nbsp;Yu-Xin Luo,&nbsp;Yue Luo,&nbsp;Hao Zhu,&nbsp;Zhi-Tao Liu,&nbsp;Wei Liu","doi":"10.1111/jbi.15093","DOIUrl":"https://doi.org/10.1111/jbi.15093","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;Specialist species are characterised as species with a narrow niche and, thus, vulnerable to environmental changes and disturbance. Understanding the distribution of specialists is important for developing proactive conservation strategies. Although China is among the countries with the highest diversity of mammals, no previous studies have explored the distribution and conservation status of specialists in Chinese mammals.&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;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;Present day.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Chinese terrestrial mammals.&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 assessed the distribution of three types of specialisation in Chinese terrestrial mammals: diet specialist, habitat specialist and extreme specialist (i.e., species that are both diet and habitat specialist). We adopted generalised linear models to test whether some landscape-level factors explain the variation of each type of specialisation richness. Gap analyses were conducted to assess the conservation status of the specialists identified.&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;From a total of 621 mammal species, 327 species were identified as specialists, including 237, 137 and 48 species categorised as diet specialists, habitat specialists and extreme specialists respectively. The mountains in southwest China have the highest diversity of specialised terrestrial mammals in China, regardless of the type of specialisation. After controlling for the effect of overall species richness, other hotspots held more specialist species than expected from the overall species richness (e.g., the Qinghai-Tibet plateau, the Junggar Basin, Liaoning and Guangdong). High-altitude areas tended to possess more diet and habitat specialist species. Elevation range and habitat diversity were positively related to diet specialist richness but negatively related to habitat specialist richness. Only 42 (12.84%) of the 327 specialist species were adequately covered by the current protected areas.&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 have identified multiple hotspots of ecological specialisation in terrestrial mammals in China. The role of landscape factors in shaping specialist richness was inconsistent among different types of specialisation. We also found a serious spatial mismatch between s","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Planning for the Restoration of Functional Connectivity in Brazil","authors":"Stella Manes,&nbsp;Diogo S. B. Rocha,&nbsp;Luiz Oliveira,&nbsp;Luisa Fernanda Liévano-Latorre,&nbsp;Juliana M. de Almeida-Rocha,&nbsp;Renata Capellão,&nbsp;Carlos Leandro Cordeiro,&nbsp;Viviane Dib,&nbsp;Eduardo Lacerda,&nbsp;Agnieszka Latawiec,&nbsp;Julia Niemeyer,&nbsp;Fernando Resende,&nbsp;Rafael Loyola","doi":"10.1111/jbi.15090","DOIUrl":"https://doi.org/10.1111/jbi.15090","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Land use and land cover (LULC) change is the main driver of biodiversity loss, causing habitat loss and fragmentation that hinders species movement and negatively impacts populations. While habitat fragments are structurally disconnected, functional connectivity can still occur depending on the species' dispersal abilities. Incorporating landscape connectivity into restoration planning helps identify strategic areas significantly enhancing connectivity. Here, we present an unprecedented, nationwide continuous spatial layer representing each restorable pixel's contribution to functional connectivity, using Brazil as a case study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Brazil.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We performed a dynamic pixel-based analysis across each Brazilian biome to assess the potential increases in the Integral Index of Connectivity (IIC) resulting from restoring each restorable pixel in the landscape. For that, we defined hypothetical species with medium, high and very high dispersal abilities and calculated the IIC for the different natural LULC in each biome. Then, we ran a dynamic pixel-based restoration analysis to assess the contribution of each restorable pixel to functional connectivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our resulting dataset represents the relative contribution of connectivity for each restorable pixel in the landscape, considering all dispersal abilities and LULC in each biome. Since we are assessing the contributions of individual pixels to overall biome landscape connectivity, most values are expectedly low. However, pixels with the highest contributions to connectivity show a stand-alone contribution biome-wide and thus were interpreted as priorities for restoration. Notably, we show nested regions as priorities for restoration, with a trend of higher priority rankings (e.g., the top 5% most important regions) being surrounded by subsequent rankings of priorities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our study is the first to evaluate the impact of restoration planning efforts on functional connectivity across all Brazilian biomes. We identified priority areas for restoration within each Brazilian biome, providing valuable information to guide decision-making and policy implementation. The innovative pixel-based analysis used in the study can be replicated in other regions, aiming to make restoration planning more efficient.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Global Patterns in the Allocation of Forest Net Primary Production","authors":"Xiancheng Lu,&nbsp;Chi-Hsin Chung,&nbsp;Yadvinder Malhi,&nbsp;Cho-ying Huang","doi":"10.1111/jbi.15094","DOIUrl":"https://doi.org/10.1111/jbi.15094","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Environmental factors that govern the allocation of net primary production (NPP) between long-lived components (wood) and short-lived components (leaves, fine roots) are poorly understood yet essential when relating NPP to carbon stocks, especially among different plant functional types. We conducted a spatially synoptic analysis to investigate the relationships between NPP allocation and climate at the global scale. We ask a fundamental question in forest ecology and terrestrial carbon science: What environmental drivers influence NPP allocation?</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global forests (64.21 N–41.53 S).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxon</h3>\u0000 \u0000 <p>Trees.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We investigated the relationships between field forest NPP data (<i>n</i> = 131) and 31 bioclimatic, meteorological, geographical, topographic and vegetation variables using machine learning.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>These environmental variables accounted for 94%, 93% and 85% of the variation in canopy, woody and fine-root NPP fractions, respectively. Most of the important predictors were temperature-related. Allocation to the canopy was facilitated by warm and stable climates. In contrast, woody and fine-root carbon growth could endure cold and extreme temperatures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our analysis suggested that the most important drivers were annual mean (e.g. high canopy and fine-root NPP ratios in favourable climates), variation and extreme (e.g. significant woody and fine-root NPP ratios where light- and nutrient-limited) of temperatures. Overall, most carbon was stored in woody tissue and in a constant proportion to the canopy, which could be explained by allometric scaling and resource availability. Our results pointed to a ‘root-wood’ trade-off rather than the previously prevailing ‘root-leaf’ trade-off, but may vary regionally. For example, regarding particular plant functional types, ‘wood-leaf’ and ‘root-leaf’ were only evident in broadleaved and coniferous forests, respectively, to adapt to climates and compete for resources. Knowing the relationships between NPP allocation and the environment, we could assess forest carbon cycle dynamics in the face of climate change.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"β-Diversity Scaling Patterns Across Different Bioregionalisations for a Megadiverse Neotropical Fish Family","authors":"Gustavo Henrique Soares Guedes,&nbsp;Jayme Magalhães Santangelo,&nbsp;Aliny Patrícia Flauzino Pires,&nbsp;Francisco Gerson Araújo","doi":"10.1111/jbi.15088","DOIUrl":"https://doi.org/10.1111/jbi.15088","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;Bioregionalisation frameworks represent unique assemblages of species resulting from geographic isolation and environmental heterogeneity. Understanding how different bioregionalisations capture community compositional variation is crucial, as underlying patterns and processes are scale-dependent. This study aimed to (1) explore the underlying ecological processes through the decomposition of beta diversity (turnover and nestedness); (2) identify which bioregionalisation framework offers the optimal spatial granularity for distinguishing between communities; and (3) evaluate the effective number of compositionally distinct areas.&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;Neotropical domain.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Taxon&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Rivulidae—annual 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;Presence–absence data of fish species were analysed using pairwise β-diversity and hierarchical clustering methods (UPGMA) and compared with 14 comprehensive bioregionalisation frameworks, including terrestrial ecoregions (TEOW), freshwater ecoregions (FEOW), neotropical provinces and watersheds (HydroBasins).&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;The study revealed that (1) turnover is the dominant component of β-diversity, surpassing nestedness across all bioregionalisation frameworks; (2) turnover increases non-linearly as regionalisation area decreases, with a threshold identified beyond which further area reduction does not significantly increase turnover; and (3) the optimal spatial granularity for bioregionalisation is achieved at smaller watershed scales (146–414 km&lt;sup&gt;2&lt;/sup&gt;), where turnover is maximised and the optimal number of bioregions (&gt; 180) is identified.&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;Turnover patterns are linked to factors such as high endemism, low dispersal capacity and the significant isolation of temporary wetlands. The scale dependence of β-diversity is influenced not only by the area of bioregionalisations but also by the underlying design of these units, such as those based on hydrogeomorphological features (HydroBasins) or taxon distribution patterns (FEOW and TEOW). Finer spatial scales are more effective for assessing biodiversity patterns for endemic taxa and in habitats with low connectivity. These findings can enhance the understanding of how bioregionalisation frameworks reflect species compositional variation, with important implications for interpreting ecological","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Cover","authors":"","doi":"10.1111/jbi.14879","DOIUrl":"https://doi.org/10.1111/jbi.14879","url":null,"abstract":"<p>On the cover: Euglossa imperialis is one of the most common species of orchid bees (Tribe Euglossini) in Panama. This individual was collected in Coiba National Park, a marine - terrestrial protected area found in the Pacific side of Panama. Photo credit: Yosiat Vega-Rovira.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 2","pages":"i"},"PeriodicalIF":3.4,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jbi.14879","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114709","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":"Continental-Scale α- and β-Diversity Patterns of Terrestrial Eukaryotic Microbes: Effect of Climate and Microhabitat on Testate Amoeba Assemblages in Eurasian Peatlands","authors":"Jiahui Su,&nbsp;Yuri A. Mazei,&nbsp;Andrey N. Tsyganov,&nbsp;Natalia G. Mazei,&nbsp;Victor A. Chernyshov,&nbsp;Alexander A. Komarov,&nbsp;Kirill V. Babeshko,&nbsp;Edward A. D. Mitchell,&nbsp;Satoshi Shimano,&nbsp;Damir A. Saldaev,&nbsp;Basil N. Yakimov","doi":"10.1111/jbi.15082","DOIUrl":"https://doi.org/10.1111/jbi.15082","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The role of environmental factors that shape the large-scale distribution of eukaryotic microbes remains understudied. We aimed to disentangle the impacts of latitudinal and longitudinal gradients on the distribution of <i>Sphagnum-</i>dwelling testate amoebae in mires and to understand the influence of environmental factors related to both local habitats (hummock—lawn—hollows) and regional climates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>A range from temperate to subarctic and from the European part to the Far East of Russia (51°–70°N, 32°–158°E).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxon</h3>\u0000 \u0000 <p>Testate amoeba (Arcellinida, Euglyphida, and Amphitremida).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analysed the testate amoeba (TA) composition and abundance data from 816 samples collected in 75 peatlands. Linear mixed-effects models and redundancy analysis were applied to determine the likely environmental drivers of TA <i>α</i>- and <i>β</i>-diversity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identified a significant reversed latitudinal gradient in <i>α</i>-diversity which negatively correlated with the mean annual temperature. This gradient is microhabitat-specific, being prominent in lawn and hollow microhabitats, but not in hummocks. Longitude, which corresponds mainly to a gradient of precipitation seasonality, was a significant predictor of TA <i>β</i>-diversity, especially in hollows.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our findings identify climatic factors (e.g., mean annual temperature and precipitation seasonality) as likely shaping the continental-scale TA <i>α</i>- and <i>β</i>-diversity patterns, emphasising the microhabitat-specific nature of these relationships. The absence of pattern in hummocks is interpreted as evidence for a predominant microhabitat stress (i.e., low moisture and pH) in this habitat.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Glacial History and Ecological Restrictions Shape Island-Scale Genetic Structure and Demography in the Southernmost Bird of Prey","authors":"Ulises Balza,&nbsp;Nicolás A. Lois,&nbsp;Katie J. Harrington,&nbsp;Fabiola León,&nbsp;Klemens Pütz,&nbsp;Andrea Raya-Rey,&nbsp;Santiago G. Ceballos","doi":"10.1111/jbi.15083","DOIUrl":"https://doi.org/10.1111/jbi.15083","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To understand the influence of Andean uplifts and glacial cycles on South American biodiversity, we delve into the population genetics and evolutionary history of a unique subantarctic island raptor specialised in exploiting marine food webs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Islands in Tierra del Fuego and Malvinas/Falklands.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time period</h3>\u0000 \u0000 <p>Last glacial period to the present.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Taxon</h3>\u0000 \u0000 <p>\u0000 <i>Phalcoboenus australis.</i>\u0000 </p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used RAD sequencing to assess genetic diversity, population structure and to model demographic history through descriptive and hypothesis-based evolutionary methods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found evidence of two independent lineages: one inhabiting the Fuegian archipelago and the other one occurring in the Islas Malvinas/Falkland Islands, with the latter presenting higher genetic diversity and evidence of finer-scale population structure. The best supported demographic scenario places the divergence time of these lineages during the last glacial period (ca. 50,000 years ago), with the occurrence of gene flow during the first 27,000 years after their divergence. Recent demographic modelling supports the general pattern of increasing genetic variability as landmasses were uncovered following the glacial period (i.e., the Fuegian archipelago) in contrast with a decrease in genetic diversity associated to island fragmentation (i.e., in the Islas Malvinas/Falkland Islands).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>We propose that post-glacial sea level rise and the subsequent isolation across the submerging Patagonian Shelf have driven population fragmentation and recent genetic structure in this species. Our findings advocate for recognising the two identified divergent lineages as distinct conservation units. We highlight the intricate interplay of ecological factors, glacial cycles and population dynamics in shaping the evolutionary trajectory of this unique and threatened raptor species in southern South America.</p>\u0000 </section>\u0000 </div>","PeriodicalId":15299,"journal":{"name":"Journal of Biogeography","volume":"52 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}