Global Ecology and Biogeography最新文献

{"title":"Investigating the Biotic and Abiotic Drivers of Body Size Disparity in Communities of Non-Volant Terrestrial Mammals","authors":"William Gearty, Lawrence H. Uricchio, S. Kathleen Lyons","doi":"10.1111/geb.13913","DOIUrl":"10.1111/geb.13913","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The species that compose local communities possess unique sets of functional and ecological traits that can be used as indicators of biotic and abiotic variation across space and time. Body size is a particularly relevant trait because species with different body sizes typically have different life history strategies and occupy distinct niches. Here we used the body sizes of non-volant (i.e., non-flying) terrestrial mammals to quantify and compare the body size disparity of mammal communities across the globe.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Present.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Non-volant terrestrial mammals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used IUCN range maps of 3982 terrestrial mammals to identify 1876 communities. We then combined diet data with data on climate, elevation and anthropogenic pressures to evaluate these variables' relative importance on the observed body size dispersion of these communities and its deviation from a null model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Dispersion for these communities is significantly greater than expected in 54% of communities and significantly less than expected in 30% of communities. The number of very large species, continent, range sizes, diet disparity and annual temperature collectively explain > 50% of the variation in observed dispersion, whereas continent, the number of very large species, and precipitation collectively explain > 30% of the deviation from the null model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Climate and elevation have minimal predictive power, suggesting that biotic factors may be more important for explaining community body size distributions. However, continent is consistently a strong predictor of dispersion, likely due to it capturing the combined effects of climate, size-selective human-induced extinctions and more. Overall, our results are consistent with several plausible explanations, including, but not limited to, competitive exclusion, unequal distribution of resources, within-community environmental heterogeneity, habitat filtering and ecosystem engineering. Further work focusing on ot","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13913","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emergent Properties and Robustness of Species–Habitat Networks for Global Terrestrial Vertebrates","authors":"Xiyang Hao,&nbsp;Martin Jung,&nbsp;Yiwen Zhang,&nbsp;Chuan Yan","doi":"10.1111/geb.13912","DOIUrl":"10.1111/geb.13912","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Habitat loss is the dominant cause of biodiversity decline around the world, yet the complexity and stability of terrestrial assemblages related to suitable habitats have been almost unknown on a global scale.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Contemporary.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Mammalia, Aves, Reptilia, Amphibia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We constructed gridded maps of species–habitat networks of terrestrial vertebrates based on global species distributions and a recently developed habitat type dataset. Then, we investigated the biogeographic patterns of emergent network structures and analysed network robustness to habitat loss by simulating habitat removals on a global scale.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that, compared with reptiles and amphibians, the species–habitat networks of mammals and birds were characterised by higher habitat diversity, connectance and modularity. All four taxonomical groups have high robustness globally, but after adjusting for species and habitat diversity, we found a variation of surplus and deficiency of network structures and robustness. Temperature and precipitation contributed most to relative network robustness globally, whereas geographical and human population factors played important roles in scattered regions on all continents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Overall, we provide novel insights into the biogeographic patterns of species–habitat connections through a network approach, which can help to identify gaps for reestablishing species–habitat links to improve conservation outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogeographical Variation in Termite Distributions Alters Global Deadwood Decay","authors":"Stephanie J. Law,&nbsp;Habacuc Flores-Moreno,&nbsp;Catherine L. Parr,&nbsp;Stephen Adu-Bredu,&nbsp;Katherine Bunney,&nbsp;William K. Cornwell,&nbsp;Fidèle Evouna Ondo,&nbsp;Jeff R. Powell,&nbsp;Gabriel W. Quansah,&nbsp;Mark P. Robertson,&nbsp;Amy E. Zanne,&nbsp;Paul Eggleton","doi":"10.1111/geb.13915","DOIUrl":"10.1111/geb.13915","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;Termites are a crucial group of macroinvertebrates regulating rates of deadwood decomposition across tropical and subtropical regions. When examining global patterns of deadwood decay, termites are treated as a homogenous group. There exist key biogeographical differences in termite distribution. One such clear distinction is the distribution of fungus-growing termites (FGT, subfamily Macrotermitinae). Considering that climate will have shaped termite distribution and ecosystem processes, we evaluate the roles of termite distribution (presence of FGT) and climate (aridity) on global patterns in deadwood decay.&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;Between 46° N-43° S and 175° E-85° W.&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 (between 2016 and 2021).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Termites (Blattodea: Termitoidae).&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 add salient data to an existing global dataset on deadwood decomposition, including new data from five existing sites and seven additional African sites. We analyse a dataset spanning six continents, 16 countries and 102 experimental sites. Firstly, we evaluate climatic differences (mean annual temperature, mean annual precipitation and mean annual aridity) between sites with and without FGT. Secondly, using aridity as a single comparative climate metric between sites that accounts for temperature and precipitation differences, we examine the interaction between FGT and aridity on global patterns of termite deadwood discovery and decay through multivariate logistic and linear regressions.&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;Termite-driven decay and wood discovery increased with aridity; however, responses differed between FGT and NFGT sites. Wood discovery increased with aridity in FGT sites only, suggesting a greater role of FGT to deadwood decay in arid environments. On average, both termite discovery and decay of deadwood were approximately four times greater in regions with FGT compared with regions without FGT.&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;Termite discovery and decay of deadwood is climate dependent, and higher decay may be through greater discovery of deadwood in FG","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13915","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global Distribution of Mammalian Cradles and Museums is Driven by Past Climate Dynamics and Present Water–Energy Balance","authors":"Matheus L. Araujo,&nbsp;Marco Túlio P. Coelho,&nbsp;Fernanda A. S. Cassemiro,&nbsp;Thiago F. Rangel","doi":"10.1111/geb.13914","DOIUrl":"10.1111/geb.13914","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To describe worldwide distribution of mammalian cradles and museums using the rates of phylogenetic lineage turnover as a surrogate. Additionally, we investigated the influences of current water–energy dynamics, climate instability, past climate changes and elevational ranges on the distribution of these evolutionary zones.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>Current.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Terrestrial mammals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We developed a new methodology that consists of calculating the spatial phylogenetic turnover for non-overlapping temporal segments of phylogenetic trees. By calculating the relative turnover in each tree segment, we quantified the rate of accumulation of phylogenetic turnover through time. We depicted cold and hotspots of rates of lineage turnover using bivariate maps and examined the effects of environmental factors using a path model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The distributions of cradles and museums of biodiversity are primarily driven by water–energy dynamics. Environments with higher water availability than energetic demand predominantly act as cradles, as seen in tropical rainforests, while xeric-like environments predominantly serve as museums. Conversely, regions undergoing higher historical climate changes become cradles, such as in higher northern latitudes, while climatically stable areas function as museums. Mountains play a dual role, acting as both cradles and museums by generating new lineages along their elevation bands while simultaneously providing climate refuges for ancient mammal lineages.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our findings demonstrate that cradles and museums are not merely a dichotomy but exist along an evolutionary continuum. Furthermore, they reveal how spatial patterns of mammalian cradles and museums are intricately shaped by biogeographical processes governed by environmental forces. Uncovering these hidden effects provides insights into the ecological mechanisms by which ongoing climate changes continually shape evolutionary assemblages over time.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Best of Two Worlds: Using Stacked Generalisation for Integrating Expert Range Maps in Species Distribution Models","authors":"Julian Oeser,&nbsp;Damaris Zurell,&nbsp;Frieder Mayer,&nbsp;Emrah Çoraman,&nbsp;Nia Toshkova,&nbsp;Stanimira Deleva,&nbsp;Ioseb Natradze,&nbsp;Petr Benda,&nbsp;Astghik Ghazaryan,&nbsp;Sercan Irmak,&nbsp;Nijat Hasanov,&nbsp;Gulnar Guliyeva,&nbsp;Mariya Gritsina,&nbsp;Tobias Kuemmerle","doi":"10.1111/geb.13911","DOIUrl":"10.1111/geb.13911","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Species distribution models (SDMs) are powerful tools for assessing suitable habitats across large areas and at fine spatial resolution. Yet, the usefulness of SDMs for mapping species' realised distributions is often limited since data biases or missing information on dispersal barriers or biotic interactions hinder them from accurately delineating species' range limits. One way to overcome this limitation is to integrate SDMs with expert range maps, which provide coarse-scale information on the extent of species' ranges and thereby range limits that are complementary to information offered by SDMs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Innovation</h3>\u0000 \u0000 <p>Here, we propose a new approach for integrating expert range maps in SDMs based on an ensemble method called stacked generalisation. Specifically, our approach relies on training a meta-learner regression model using predictions from one or more SDM algorithms alongside the distance of training points to expert-defined ranges as predictor variables. We demonstrate our approach with an occurrence dataset for 49 bat species covering four biodiversity hotspots in the Eastern Mediterranean, Western Asia and Central Asia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our approach offers a flexible method to integrate expert range maps with any combination of SDM modelling algorithms, thus facilitating the use of algorithm ensembles. In addition, it provides a novel, data-driven way to account for uncertainty in expert-defined ranges not requiring prior knowledge about their accuracy, which is often lacking. Integrating expert range maps into SDMs for bats resulted in more realistic predictions of distribution patterns that showed narrower niche breadths and smaller range overlaps between species compared to traditional SDMs. Our approach holds promise to improve assessments of species distributions, while our work highlights the overlooked potential of stacked generalisation as an ensemble method in species distribution modelling.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13911","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142166615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hindcasted Body Temperatures Reveal Underestimated Thermal Stress Faced by Intertidal Species","authors":"Lin-Xuan Ma,&nbsp;Jie Wang,&nbsp;Mark W. Denny,&nbsp;Yun-Wei Dong","doi":"10.1111/geb.13908","DOIUrl":"10.1111/geb.13908","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>As global climate changes, there is a clear mismatch between the temporal and spatial characteristics of body temperature and environmental temperature, confounding the assessment of thermal stress for organisms in many ecological studies. Here, we hindcast the hourly body temperatures of intertidal molluscs to explore the differences between them and environmental temperatures (air and water temperatures) in multiple metrics of thermal stress.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>Intertidal shores in East Asia (0°–45°N, 100°E–140°E).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period</h3>\u0000 \u0000 <p>40 years, 1980 to 2019.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Mollusca.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We collected habitat zonation data and measured the morphological characteristics of 25 intertidal molluscs living in East Asia. For three different types of intertidal molluscs (i.e., bivalves, limpets and snails), we built corresponding heat budget models (HBMs) to hindcast the hourly body temperatures from 1980 to 2019. We analysed the thermal stress of intertidal species faced in three metrics, annual extreme high temperatures (<i>T</i>_<i>99</i>), seasonal daily maximum temperatures (DMT) and heatwaves, and compared them with environmental temperatures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that <i>T</i>_<i>99</i> of body temperatures and their interannual warming rates are significantly higher than those of environmental temperatures. Moreover, there were non-negligible mismatches between the seasonal thermal pattern and heatwaves of body temperatures and environmental temperatures, suggesting that the deleterious impacts of global warming on intertidal species are underestimated and cannot be directly revealed by environmental temperatures.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Thermal stress patterns of body temperature were significantly different from those of environmental temperature, and the thermal stress faced by intertidal species had been persistently underestimated. These results emphasise that body temperature should be used as the appropriate metric for evaluating and predicting the impacts of global warming and weather extremes in the intertidal biological system.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 11","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142138498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional Traits of the World's Late Quaternary Terrestrial Mammalian Predators","authors":"Eamonn I. F. Wooster,&nbsp;Erick J. Lundgren,&nbsp;Mairin Balisi,&nbsp;Rhys T. Lemoine,&nbsp;Christopher J. Sandom,&nbsp;Jens-Christian Svenning,&nbsp;John Rowan,&nbsp;Chris J. Jolly,&nbsp;Grant D. Linley,&nbsp;Mitchell. A. Cowan,&nbsp;Nick Wright,&nbsp;Dylan Westaway,&nbsp;Dale Nimmo,&nbsp;Hannah Nichols,&nbsp;Owen S. Middleton","doi":"10.1111/geb.13909","DOIUrl":"10.1111/geb.13909","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Motivation</h3>\u0000 \u0000 <p>Terrestrial predators play key roles in cycling nutrients, as well as limiting prey populations, and shaping the behaviour of their prey. Prehistoric, historic and ongoing declines of the world's predators have reshaped terrestrial ecosystems and are a topic of conservation concern. However, the availability of ecologically relevant predator functional traits is limited, hampering efforts to understand macroecological changes in this ecologically important functional group. Here, we present <i>CarniTraits</i>, a comprehensive open-access functional trait database of all late Quaternary (~130,000 ybp) terrestrial mammalian predators (149 species, ≥1 kg body mass, ≥50% vertebrate meat consumption).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Types of Variables Contained</h3>\u0000 \u0000 <p>Mammalian terrestrial predator functional traits including body mass, diet, scavenging, locomotion, cooperative hunting, hunting habitat, hunting method, bone consumption, temporal activity patterns, brain mass and encephalisation quotient.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Spatial Location and Grain</h3>\u0000 \u0000 <p>Global.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Time Period and Grain</h3>\u0000 \u0000 <p>Late Quaternary (the last ~130,000 years).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa and Level of Measurement</h3>\u0000 \u0000 <p>All late Quaternary terrestrial mammalian predators (149 species, ≥1 kg body mass, ≥50% vertebrate meat consumption).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Software Format</h3>\u0000 \u0000 <p>csv.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 12","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13909","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disentangling the Influence of Phylogeny and Traits on Climatic Risk of European Butterflies","authors":"Andros T. Gianuca,&nbsp;Oliver Schweiger,&nbsp;Luis Mauricio Bini,&nbsp;Martin Wiemers,&nbsp;Victor Rocha di Cavalcanti,&nbsp;José Alexandre Diniz-Filho,&nbsp;Michiel F. WallisDeVries,&nbsp;Niklaus E. Zimmermann,&nbsp;Josef Settele","doi":"10.1111/geb.13907","DOIUrl":"10.1111/geb.13907","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aim&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The relative importance of traits and phylogeny to predict species extinction risk is unclear and it depends on which traits are measured and their phylogenetic conservatism. Here, we evaluate the power of functional traits, ecological characteristics, such as range size and specialization, and phylogeny to predict climatic risks in European butterflies.&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;Europe.&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;Distribution data from 1981 to 2002 was used to project range shifts up to 2080.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;In total, 268 European butterfly species (&lt;i&gt;Rhopalocera&lt;/i&gt;).&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 extracted information on climatic risk for each species from the literature. Two hypothetical conditions were assumed: full climate tracking and no climate tracking. We used variation partitioning to quantify and disentangle the effects of phylogeny, four traits (wingspan, voltinism, overwintering and egg volume) and two ecological characteristics (range size and specialization) on climatic risk. We used Random Forest as an imputation method to predict climatic risk values for additional European butterfly species that have not been previously modelled.&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;Range size and degree of specialization strongly predicted climatic risk of European butterflies, but only for no climate tracking scenarios. Overall, more generalist species have larger ranges and are less vulnerable to climate change. Furthermore, we found that phylogenetic information adds strong power to explain climatic risk, especially, but not exclusively for scenarios that assume full climate tracking.&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;Considering current scenarios of habitat fragmentation in Europe, it is likely that species with smaller ranges and high degree of specialization will be unable to track their climates and thus be more at risk. However, our results imply that assisting dispersal and colonization might allow small ranged species to cope with climate change. Our analysis also indicate that phylogeny can be used as a proxy of unmeasured traits to predict climatic risk under certain c","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 11","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13907","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What is the Relationship Between Plant Trait Diversity and Geodiversity? A Plot-Based, Pan-European Analysis","authors":"Grant Vernham,&nbsp;Joseph J. Bailey,&nbsp;Richard Field,&nbsp;Franziska Schrodt","doi":"10.1111/geb.13904","DOIUrl":"10.1111/geb.13904","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;Heterogeneity of the Earth's abiotic surface and subsurface (geodiversity) is increasingly recognised as an important driver of biodiversity. Theoretically, species' traits should match to abiotic conditions in the local environment. Here, we test this for the first time at a continental extent by analysing the relationships between geodiversity and plant trait diversity in forested vegetation plots across Europe, at three plot sizes (100, 400 and 1000 m&lt;sup&gt;2&lt;/sup&gt;).&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;Europe.&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;1930–present.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Plants.&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 geodiversity–trait diversity relationships across Europe at 1 km resolution using 2637 forested vegetation plots from the sPlotOpen database. We computed geodiversity (topographic, landform, wetness and soil physical and chemical heterogeneity) variables, combined with climate and land use data to analyse the direct and indirect effects of geodiversity on plant trait diversity, using structural equation modelling.&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;Topographic heterogeneity, and annual temperature to a lesser degree, showed significant positive weak to moderately strong association with plant trait richness and evenness across all plot sizes. We also detected multiple highly significant but weak effects of geodiversity components on trait diversity dimensions. Some notable exceptions include moderate negative effects of soil silt heterogeneity on trait divergence across 1000 m&lt;sup&gt;2&lt;/sup&gt; plots and positive and weak negative effects of TWI and soil sand heterogeneity on trait evenness, respectively. Explained variance was low across models, but higher for models from 1000 m&lt;sup&gt;2&lt;/sup&gt; vegetation plots. Evidence for the indirect effects of geodiversity on trait diversity was extremely weak.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our findings suggest variable-specific effects of geodiversity on trait diversity, with significant effects of multiple geodiversity components but dominated by topographic heterogeneity. Importantly, data precision is limited, and we are thus trying to detect sig","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 11","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.13904","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142042437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Phylogenetic Structure Patterns of Angiosperm Species and Their Determinants in East Eurasia","authors":"Wenqi Song,&nbsp;Yichao Li,&nbsp;Ao Luo,&nbsp;Xiangyan Su,&nbsp;Yunpeng Liu,&nbsp;Yuan Luo,&nbsp;Ke Jiang,&nbsp;Denis Sandanov,&nbsp;Wei Wang,&nbsp;Zhiheng Wang","doi":"10.1111/geb.13897","DOIUrl":"10.1111/geb.13897","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The Kunming-Montreal Global Biodiversity Framework requires that evolutionary histories of species should be considered in conservation planning. The phylogenetic structure of species assemblages quantifies species evolutionary histories and increasingly becomes an endeavour for ecologists. Understanding the geographic patterns of phylogenetic structure of species assemblages and their drivers can provide a fundamental reference for conservation planning. Although several theoretical hypotheses based on the effects of contemporary environment, historical climate change and evolutionary niche conservatism had been widely discussed in previous studies, the relative contributions of these hypotheses on phylogenetic structure of angiosperms, especially herbaceous species, remain debated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Location</h3>\u0000 \u0000 <p>East Eurasia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Angiosperms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compiled distributions of 43,023 angiosperm species in east Eurasia at spatial resolution (100 × 100 km²). Using this newly compiled database and a species-level phylogeny, we estimated the phylogenetic structure patterns for species with different growth forms. We explored the relationships of these patterns with contemporary environment and historical climate change to test predictions of the tropical niche conservatism hypothesis (TCH) and to compare the contribution of different hypotheses using generalised linear models and hierarchical partitioning.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found that phylogenetic structure of angiosperms displayed significant latitudinal gradients. Notably, phylogenetic structure patterns and their drivers differed between woody and herbaceous species. Actual evapotranspiration was the best predictor of phylogenetic structure patterns for all and herbaceous species, while the mean temperature of the coldest quarter was the best predictor for woody species. The effect of historical climate change on phylogenetic structure patterns was weak.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results suggest that the TCH only explains the phylogenetic structure pattern of woody species, not herbaceous species. Moreover, contemporary climate influences the phylogenetic structure of angiosperms in east Eurasian by affecting herbaceous and woody species differently.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 10","pages":""},"PeriodicalIF":6.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142042442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}