Global Ecology and Biogeography最新文献

{"title":"Generating Spatialised and Seasonal Deep-Time Palaeoclimatic Information: Integration Into an Environmental-Dependent Diversification Model","authors":"Delphine Tardif,&nbsp;Fabien L. Condamine,&nbsp;Serafin J. R. Streiff,&nbsp;Pierre Sepulchre,&nbsp;Thomas L. P. Couvreur","doi":"10.1111/geb.70024","DOIUrl":"https://doi.org/10.1111/geb.70024","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Testing the impact of climate on diversification is a major goal of evolutionary biology. Birth-death models like palaeoenvironment-dependent diversification (PDD) models, for example, allow exploring the potential correlations between diversification dynamics and past environmental changes, such as temperature, among other abiotic variables. So far, such studies have been limited to proxy-derived global temperature trends, because these are the only temperature records that are easily accessible and almost continuous over multimillion-year periods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Innovation</h3>\u0000 \u0000 <p>In this study, we propose a methodology to generate spatialised and/or seasonal palaeotemperature time series. To do so, we take advantage of temperature variables simulated by climate models for several ‘snapshots’ of the last 100 million years. Based on the hypothesis that a long-term global temperature drift is imprinted, to some degree, on all regional and seasonal temperature records, we use the global proxy-derived temperature record as the mean of interpolation between discrete climate simulations. We then evaluate the possibility of constraining the PDD models, as implemented in RPANDA, with these hybrid temperature time series. We assess if these regional and seasonal temperature trends may be more relevant to the evolutionary history of a given clade than the global temperature record used so far.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our results show that PDD models using seasonal and/or regional hybrid temperature time series tend to receive high statistical support. This offers promising perspectives for refining our understanding of the impact of regional and seasonal temperature evolution on diversification dynamics, and calls for continuing development of deep-time palaeoclimate modelling and interdisciplinary studies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770290","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":"Ecosystem Carbon Fluxes Exhibit Thermal Response Thresholds at Which Carbon–Climate Feedback Changes","authors":"Xiaoni Xu,&nbsp;Jianjun Xu,&nbsp;Bo Li,&nbsp;Jinquan Li,&nbsp;Ming Nie","doi":"10.1111/geb.70030","DOIUrl":"https://doi.org/10.1111/geb.70030","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The carbon–climate feedback of terrestrial ecosystems plays a key role in determining atmospheric carbon dioxide concentrations. Ecosystem respiration (ER) has been demonstrated to be more sensitive than gross primary productivity (GPP) to increasing temperature, leading to positive carbon–climate feedback. However, the direction and magnitude of the feedback are unclear across diverse thermal regimes. The objective of this study was to assess the variability in the carbon–climate feedback with thermal regimes.</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>1991–2014.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Terrestrial ecosystems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used linear and piecewise-linear mixed-effects models, quantified based on the Arrhenius function, to find the models that best characterise the temperature dependence of net ecosystem exchange (NEE), GPP and ER at global and climate scales.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>By analysing global data from 184 FLUXNET sites, we show that the temperature dependence of terrestrial carbon flux changes at two temperature threshold zones: −5.4°C to −1.7°C and 17.0°C to 17.1°C. The carbon–climate feedback is positive at cold and warm temperatures but negative at intermediate temperatures. This general pattern was observed in all but one of the five climatic zones.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Climate warming may not simply reduce the carbon uptake potential of terrestrial ecosystems, but the effects are dependent on ambient temperatures. Our findings highlight that temperature thresholds should be adequately considered for a more realistic presentation of carbon–climate feedback under future climate change.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749624","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":"tinyVAST: R Package With an Expressive Interface to Specify Lagged and Simultaneous Effects in Multivariate Spatio-Temporal Models","authors":"James T. Thorson,&nbsp;Sean C. Anderson,&nbsp;Pamela Goddard,&nbsp;Christopher N. Rooper","doi":"10.1111/geb.70035","DOIUrl":"https://doi.org/10.1111/geb.70035","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>Multivariate spatio-temporal models are widely applicable, but specifying their structure is complicated and may inhibit wider use. We introduce the R package <i>tinyVAST</i> from two viewpoints: the software user and the statistician.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Innovation</h3>\u0000 \u0000 <p>From the user viewpoint, <i>tinyVAST</i> adapts a widely used formula interface to specify generalised additive models and combines this with arguments to specify spatial and spatio-temporal interactions among variables. These interactions are specified using arrow notation (from structural equation models) or an extended arrow-and-lag notation that allows simultaneous, lagged and recursive dependencies among variables over time. The user also specifies a spatial domain for areal (gridded), continuous (point-count) or stream-network data. From the statistician viewpoint, <i>tinyVAST</i> constructs sparse precision matrices representing multivariate spatio-temporal variation, and parameters are estimated by specifying a generalised linear mixed model (GLMM). This expressive interface encompasses vector autoregressive, empirical orthogonal functions, spatial factor analysis and ARIMA models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusion</h3>\u0000 \u0000 <p>To demonstrate, we fit to data from two survey platforms sampling corals, sponges, rockfishes and flatfishes in the Gulf of Alaska and Aleutian Islands. We then compare eight alternative model structures using different assumptions about habitat drivers and survey detectability. Model selection suggests that towed-camera and bottom trawl gears have spatial variation in detectability but sample the same underlying density of flatfishes and rockfishes and that rockfishes are positively associated with sponges while flatfishes are negatively associated with corals. We conclude that <i>tinyVAST</i> can be used to test complicated dependencies representing alternative structural hypotheses for research and real-world policy evaluation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143749585","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":"Why Some Habitat Types Are Locally Much More Species-Rich Than Others: Ongoing Assembly of Species Produced by Long and Rapid Macroevolutionary Diversification","authors":"Andreas Prinzing,&nbsp;Igor V. Bartish,&nbsp;Keliang Zhang,&nbsp;Benjamin Yguel","doi":"10.1111/geb.70037","DOIUrl":"10.1111/geb.70037","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;Species richness of local communities is often considered to be disconnected from the macroevolutionary diversification of lineages operating at much larger spatiotemporal scales. However, local communities occupy patches of habitat types, many of which persist across large spatiotemporal scales. We hypothesise that high local species richness of specific habitat types could result from ongoing local assembly in which both very closely related and very distantly related species can locally co-occur. Alternatively, such local richness of specific habitat types could result from historical assembly in which historical colonisation by many lineages and diversification within habitat-type increased richness of the habitat species-pool and thereby the local communities sampled from it.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Location&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The Netherlands.&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;1932–2012.&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;Angiosperms.&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 6851 small-scale local plots (median 54 m&lt;sup&gt;2&lt;/sup&gt;) belonging to all major habitat types in the Netherlands. We quantified mean pairwise phylogenetic distances across all species and between phylogenetically nearest species, standardised for 0-expectations for a given species richness. We quantified these measures for local communities, averaged within habitat types and for the species-pools of the habitat types.&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;Local richness varied 21-fold among habitat types. Local richness increased with mean pairwise distances and decreased with mean nearest-taxon distances of local communities (but not of habitat species-pools). These patterns were independent of the size of the regional habitat species-pool, the presence of exotic species and the environmental conditions.&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;Local species richness varies massively among habitat types within a region. We suggest that some habitat types are locally species rich because today they permit the most distantly related and the most closely related species to coexist, likely through stabilising and equalising mechanisms, respectively. These mechanisms should b","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737101","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":"Climate Underlies Variation in Plant Disease Severity by Altering Grassland Plant Communities","authors":"Kui Hu,&nbsp;Peixi Jiang,&nbsp;Eric Allan,&nbsp;Jianquan Liu,&nbsp;Jonathan M. Chase,&nbsp;Xiang Liu","doi":"10.1111/geb.70029","DOIUrl":"10.1111/geb.70029","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;Understanding the distribution of foliar fungal diseases is crucial to predicting their impact on ecosystems and their future spread. However, the relative importance of abiotic and biotic factors in determining variation in pathogens between plant communities remains controversial. Here, we tested four hypotheses: warmer, wetter climates, higher soil fertility and dominance by fast-growing plants should increase foliar pathogens, while higher plant diversity should decrease disease. We explored how those factors influence community pathogen load through changes in plant species composition and intraspecific changes in infection. Finally, we projected future distributions of community pathogen load.&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's main grassland.&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;2021–2022.&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 and foliar pathogens.&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 direct and indirect effects of abiotic (climate and soil fertility) and biotic factors (community composition, species richness and plant traits) on community pathogen load and its two components by Bayesian mixed-effects and structural equation models. We employed a space-for-time substitution approach to predict disease severity under future scenarios.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We found lower disease severity with higher temperatures and lower precipitation. Both temperature and precipitation indirectly influenced community pathogen load through changing species richness, plant traits and soil fertility. However, both temperature and precipitation increased the expected community pathogen load due to plant compositional change (taxa that were taller and had larger leaves) without affecting community pathogen load caused by intraspecific variation. Finally, we found that current disease pressure is highest in the northeastern and southwestern provinces. Future projections suggest fungal pathogen pressure in the Greater Khingan Range, Qinghai-Tibetan Plateau and central-western Inner Mongolia Plateau will increase.&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;Climate underlies variation in foliar fungal diseases by altering plant communities. Our findings highlight the importance of integrating climate and plant community change into disease prediction models, ","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737043","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":"Divergent Responses of Soil Positive and Negative Priming Effects to Experimental Warming","authors":"Junxia Ding,&nbsp;Yanghui He,&nbsp;Liming Yin,&nbsp;Changjiang Huang,&nbsp;Kui Xue,&nbsp;Shaobin Yan,&nbsp;Ruiqiang Liu,&nbsp;Peng Wang,&nbsp;Xuhui Zhou","doi":"10.1111/geb.70028","DOIUrl":"10.1111/geb.70028","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>The priming effect (PE) refers to changes in the decomposition of native soil organic carbon induced by exogenous carbon inputs. Specifically, an increase in native soil organic carbon decomposition is termed positive PE, whereas a decrease is referred to as negative PE. In this study, we aimed to investigate how positive and negative PE respond to experimental warming and the factors controlling these responses at 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>2008–2025.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Major Taxa Studied</h3>\u0000 \u0000 <p>Soil organic matter priming.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a global meta-analysis combining 370 paired observations globally and calculated effect sizes (<i>d</i>) of experimental warming on soil positive and negative PE separately using the Hedge's <i>d</i> approach.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Experimental warming induced a significant negative effect on soil PE. Further, positive and negative PE responded differently to increasing temperature: warming decreased positive PE and increased negative PE, lowering the effect size (<i>d</i>) of warming on overall PE. Soil pH and clay content had the strongest influence on variance in positive and negative PE under warming, respectively. The effect of warming on PE varied with ecosystem type: positive PE was more strongly inhibited in forests and croplands compared to grasslands, whereas warming significantly decreased the magnitude of negative PE in grasslands.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Conclusions</h3>\u0000 \u0000 <p>Our study reveals distinct responses of positive and negative PE to experimental warming, suggesting that PE may be lower under warming, with the effect size (<i>d</i>) depending on PE direction and ecosystem type. These findings highlight the importance of distinguishing positive from negative PE to improve predictions of soil organic carbon dynamics under climate warming.</p>\u0000 </section>\u0000 </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737041","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":"Contrasting Exogenous and Endogenous Soil Microbial Carbon Use Efficiencies Under Global Changes","authors":"Xiaodong Sun,&nbsp;Chenyang Zhang,&nbsp;Zhenghu Zhou,&nbsp;Yakov Kuzyakov,&nbsp;Yiqi Luo,&nbsp;Xuhui Wang,&nbsp;Xiaobo Qin,&nbsp;Bin Wang,&nbsp;Yue Li,&nbsp;Minggang Xu,&nbsp;Andong Cai","doi":"10.1111/geb.70027","DOIUrl":"10.1111/geb.70027","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;Microbial carbon use efficiency (CUE) is one of the key indicators for the formation and release of soil carbon. CUE can be divided into exogenous CUE (CUE&lt;sub&gt;ex&lt;/sub&gt;, efficiency in using external carbon sources measured by e.g. &lt;sup&gt;13&lt;/sup&gt;C or &lt;sup&gt;14&lt;/sup&gt;C labeling) and endogenous CUE (CUE&lt;sub&gt;en&lt;/sub&gt;, efficiency in using internal carbon sources measured by &lt;sup&gt;18&lt;/sup&gt;O labeling). Global changes strongly influence CUE, which response depends on the carbon source. However, the effect size and drivers of CUE&lt;sub&gt;ex&lt;/sub&gt; and CUE&lt;sub&gt;en&lt;/sub&gt; responses to global changes remain unclear, leading to large uncertainties when forecasting terrestrial carbon cycling. We aimed to quantify the magnitude and direction of microbial CUE&lt;sub&gt;ex&lt;/sub&gt; and CUE&lt;sub&gt;en&lt;/sub&gt; responses to global changes.&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;Global.&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;2011–2024.&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;Soil microorganisms.&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;Database containing 213 paired microbial CUE&lt;sub&gt;ex&lt;/sub&gt; and 155 paired microbial CUE&lt;sub&gt;en&lt;/sub&gt; data was integrated and meta-analysed to assess the impacts of global change factors on microbial CUE. Additional information gathered encompassed latitude, longitude, climate, plant properties, soil properties, microbial properties and experimental conditions.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;We found that CUE&lt;sub&gt;ex&lt;/sub&gt; decreased with absolute latitude, while CUE&lt;sub&gt;en&lt;/sub&gt; showed the opposite trend. Warming reduced CUE&lt;sub&gt;ex&lt;/sub&gt; and CUE&lt;sub&gt;en&lt;/sub&gt; by 3.6% and 16.5%, respectively. Drought increased CUE&lt;sub&gt;ex&lt;/sub&gt; by 7.9%, but decreased CUE&lt;sub&gt;en&lt;/sub&gt; by 14.3%. Nutrient inputs consistently decreased CUE&lt;sub&gt;ex&lt;/sub&gt; by 5.0%–17.1%, while nitrogen and nitrogen combined with phosphorus and potassium inputs increased CUE&lt;sub&gt;en&lt;/sub&gt; by 25.5% and 43.1%, respectively. Aridity index, soil pH and cation exchange capacity were the main factors influencing microbial CUE&lt;sub&gt;ex&lt;/sub&gt;. In contrast, microbial respiration and growth rates, followed by microbial biomass, were the major predictors of microbial CUE&lt;sub&gt;en&lt;/sub&gt;.&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","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737161","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":"Boreal Tree Growth May Be More Tolerant to Warming Than Previously Considered: Implications for Future Modelling Studies","authors":"Jiejie Wang,&nbsp;Anthony R. Taylor,&nbsp;Chris Hennigar,&nbsp;Loïc D'Orangeville","doi":"10.1111/geb.70034","DOIUrl":"10.1111/geb.70034","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;Most process-based forest simulation models used to project the impacts of climate change on forest dynamics rely on thermal transfer functions (TTF) that describe the relationship between temperature and growth. However, these functions have faced criticism, undermining model forecasts and highlighting the need for more robust TTF based on large empirical datasets. In this study, we modelled growth response to growing degree-days (GDD) of common tree species in eastern North America using an unprecedented dataset of over 1 million tree records from 29,809 permanent sample plots.&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;Canada and the United States.&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;1958–2018.&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;Tree 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;We used quantile regression analysis to build TTF by modelling tree growth response to GDD for 16 tree species using a widely distributed data across North America. The newly fitted TTF were then used to project near-term (2041–2070 time period) growth responses to climate warming and were compared with TTF currently applied in published modelling studies.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our results support the assumption of a parabolic growth response curve to GDD, but challenge the assumption of optimal growth occurring at the centre of the species' climatic range (as assumed by the climatic envelope approach commonly used to develop TTF). Compared to our empirically derived TTF, the TTF used in four well-established, published forest simulation models tend to overestimate the negative impact of climate warming on the growth of cold-adapted, boreal tree species, while underestimating it for some temperate species.&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 indicate that the selected published forest models often underestimate the optimum temperature under which maximum tree growth occurs for cold-adapted, boreal species, suggesting greater resilience to climate change than previously forecasted. We recommend the application of this empirical approach to other tree species and integrating these more realistic parameters into existing modelling framewor","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737040","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":"Phylogenetic Niche Conservatism Drives Floristic Assembly Across Mexico's Temperate-Tropical Divide","authors":"Kieran N. Althaus,&nbsp;M. Socorro González-Elizondo,&nbsp;Antonio González-Rodríguez,&nbsp;Hernando Rodríguez Correa,&nbsp;Andrew L. Hipp","doi":"10.1111/geb.70017","DOIUrl":"https://doi.org/10.1111/geb.70017","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;We addressed the role of climate and historical biogeography on the temperate-tropical divide in Mexico, also known as the “Mexican Transition Zone” (MTZ). We asked: (1) How phylogenetic structure and species composition vary across the MTZ, (2) What roles dispersal, in situ speciation and climatic filtering play in assembling regional floras, and (3) How historical biogeographic events and climate interact to maintain the distinct floristic communities of the transition zone.&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;Mexico.&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; Major Taxa Studied&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Vascular 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 occurrence data from &lt;i&gt;c.&lt;/i&gt; 3 million records, combining herbarium specimens and citizen science observations, using grade of membership (GoM) models to cluster species across all of Mexico. We combined these models with climate data and a phylogeny of 20,947 vascular plant taxa to investigate how climate and evolutionary history influence floristic turnover. We modelled transitions between temperate and tropics to understand the importance of different biogeographic events in assembling floristic diversity.&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;Plant composition of the MTZ is determined primarily by minimum temperature and temperature seasonality. We found strong signals of niche conservatism, especially for clades of northern, Nearctic origin, which track their niche as they move southward into the MTZ by occupying higher elevation niches. Furthermore, vascular plant diversity patterns in the temperate and transition zones have been driven largely through dispersal, whereas Neotropical plant diversity is shaped disproportionately by in situ cladogenesis.&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;Plant specimen records make it possible to identify transitions in plant communities that correspond to seasonality and freezing and explain biodiversity patterns in terms of macroevolutionary processes. We highlight the contrasting roles of speciation, dispersal, and niche conservatism in generating biodiversity at temperate–tropical transitions. Together, these results highlight ","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 4","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/geb.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707541","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":"Combining Hierarchical Distribution Models With Dispersal Simulations to Predict the Spread of Invasive Plant Species","authors":"Adrián Lázaro-Lobo,&nbsp;Johannes Wessely,&nbsp;Franz Essl,&nbsp;Dietmar Moser,&nbsp;Borja Jiménez-Alfaro","doi":"10.1111/geb.70026","DOIUrl":"https://doi.org/10.1111/geb.70026","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;Predicting the future distribution of invasive species is a current challenge for biodiversity assessment. Species distribution models (SDMs) have long been the state-of-the-art to evaluate suitable areas for new invasions, but they may be limited by truncated niches and the uncertainties of species dispersal. Here, we developed a framework based on hierarchical SDMs and dispersal simulations to predict the future distribution and spread of invasive species at the ecoregion level.&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;Cantabrian Mixed Forests Ecoregion (SW Europe) with global distribution data.&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;1950–2063.&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;Vascular 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 used occurrence data from 102 invasive species to fit SDMs with machine-learning algorithms and to simulate species dispersal. We combined habitat suitability models based on species' global climatic niches together with regional models including local variables (topography, landscape features, human activity, soil properties) in a hierarchical approach. Then, we simulated species dispersal across suitable areas over the next 40 years, considering species dispersal limitations and climate change.&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;Global climatic niches retained a strong contribution in the hierarchical models, followed by local factors such as human population density, sand content and soil pH. In general, the highest suitability was predicted for warm and humid climates close to the coastline and urbanised areas. The inclusion of dispersal abilities identified different trajectories of geographic spread for individual species, predicting regional hotspots of species invasion. The predictions were more dependent on global suitability and species dispersal rather than climatic warming scenarios.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Main Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This study provides a comprehensive framework for predicting the regional distribution of invasive species. While hierarchical modelling combines non-truncated global climatic niches with regional drivers of species invasions, the integration of dispersal simulations allows us to anticipate invasibility in new areas. This framework can be useful to assess the current and future distribution of invasive species pools in bioge","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 3","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143690195","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}