Habitat area and climate stability determine geographical variation in plant species range sizes

Morueta‐Holme, Naia; Enquist, Brian J.; McGill, Brian J.; Boyle, Brad; Jørgensen, Peter M.; Ott, Jeffrey E.; Peet, Robert K.; Šímová, Irena; Sloat, Lindsey L.; Thiers, Barbara M.; Violle, Cyrille; Wiser, Susan K.; Dolins, Steven B.; Donoghue, John C.; Kraft, Nathan J. B.; Regetz, James; Schildhauer, Mark; Spencer, Nick; Svenning, Jens‐Christian

doi:10.1111/ele.12184

Cited by 140 publications

(162 citation statements)

References 41 publications

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“…In general, the phenotypic variation in woody plants was usually correlated with latitude, due to the temperature gradient (Jan & Jon 2010, Naia et al 2013). In this study, 9 of 20 phenotypic traits in T. sinense had a significant negative correlation with longitude, and 10 traits had a positive correlation with elevation, only 3 indexes presented association with latitude, which indicating that the phenotypic variation in T. sinense showed cline along longitude and elevation, and latitude had few influence on phenotypic variation in T. sinense, different from the results in most woody plants, but in accordance with the result from Pyracantha crenulata and Cotinus szechuanensis (Pinyopusarerk & Williams 2005, Naia et al 2013. As a rule, relative humidity would increase and annual sunshine hours would decrease with the increase of longitude, resulting in smaller size of leaf and seed in T. sinense.…”

Section: Discussionmentioning

confidence: 99%

Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense

Gan

et al. 2017

Bot. Sci.

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Background: Tetracentron sinense, distributed mainly in central and southwest China, is a threatened deciduous broad-leaved canopy tree. Presently, little is known about the phenotypic diversity in natural populations of T. sinense, and its fitness and evolutionary potential to the fragmental habitat, which is very important for its conservation. Questions: (1) How is the level of phenotypic diversity in natural populations of T. sinense? (2) Which factors influenced the phenotypic variation? Species study: Tetracentron sinense. Study dates: Between September and October 2014Methods: 20 phenotypic traits from 11 populations were measured. Nested analysis of variance, multicomparison, principal components analysis, cluster analysis and correlation analysis were used to study the phenotypic variation and its relation to geo-climate factors. Results: Analysis of nested variance showed significant difference among and within populations, but the phenotypic differentiation coefficient and variance component among populations was higher than that within populations. Variation of phenotypic traits in T. sinense was mainly associated with annual sunshine hours, and showed cline variation along longitude and elevation. 11 provenances of T. sinense were clustered into four groups based on PCA. Conclusions: Phenotypic variation in T. sinense mainly existed among population, and there was moderate level of phenotypic differentiation among populations and low level of phenotypic variation within populations in T. sinense. Autogamy or geitonogamy may be the major factor contributing to the low phenotypic variation and moderate genetic divergence within this species. Suggestions for conservation strategies are provided.

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Section: Discussionmentioning

confidence: 99%

Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense

Gan

et al. 2017

Bot. Sci.

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“…For the unscaled analysis, we expected that all communities would have nonzero climate mismatch relative to present-day climate, indicating disequilibrium between vegetation composition and contemporary climate. Spatially, we also expected that the climate mismatch would correlate negatively with absolute latitude (i.e., more mixing of species pools at the interface of North and South America) and the magnitude of climate change since the LGM (i.e., more change is harder to track), and that climate volume would correlate positively with species' mean range size (i.e., more generalists; see Morueta-Holme et al 2013).…”

Section: Illustrating the Framework With New World Tree Communitiesmentioning

confidence: 99%

“…These shifts were calculated using the sources listed in Materials and methods: Climate data. Range size for species in each local community were calculated as convex hulls and obtained from the BIEN database (Morueta-Holme et al 2013). …”

Section: Spatial Predictorsmentioning

confidence: 99%

Linking environmental filtering and disequilibrium to biogeography with a community climate framework

Blonder

Bravo

Borregaard

et al. 2015

Ecology

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154

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Abstract. We present a framework to measure the strength of environmental filtering and disequilibrium of the species composition of a local community across time, relative to past, current, and future climates. We demonstrate the framework by measuring the impact of climate change on New World forests, integrating data for climate niches of more than 14 000 species, community composition of 471 New World forest plots, and observed climate across the most recent glacial-interglacial interval. We show that a majority of communities have species compositions that are strongly filtered and are more in equilibrium with current climate than random samples from the regional pool. Variation in the level of current community disequilibrium can be predicted from Last Glacial Maximum climate and will increase with near-future climate change.

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“…Ecological functions and processes are dependent on larger spatial scales than a single habitat patch (Gustafson 1998, Steffan-Dewenter et al 2002. Biodiversity is often positively correlated with the amount of available habitat (Fahrig 2003), but the effect of land-use changes on biodiversity depends on the landscape context (MacDonald et al 2000) and on the spatial scale that has been analyzed (McGlinn and Hurlbert 2012, Dumbrell et al 2008, Zimmermann et al 2010, Morueta-Holme et al 2013. Furthermore, ecological communities are structured under processes that act on the landscape, in which both regional and local scales are important factors (Harrison and Cornell 2008).…”

Section: Introductionmentioning

confidence: 99%

Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition

Pellegrini¹,

Sales²,

Aguiar³

et al. 2016

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Citation: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. doi: 10.3897/subtbiol.18.8335 AbstractPatterns of biodiversity respond to habitat disturbances and different land-uses. Those patterns possibly vary according to the spatial scale under analysis. Although other studies have shown such responses for different systems, no study has ever demonstrated spatial-scale influences in subterranean terrestrial communities. Therefore, the objective of this paper was to analyze how land use and cave physical structure could influence the terrestrial cave invertebrate species composition. We also determined the influence of different spatial scale on the structure of invertebrate cave composition. We collected environmental data at local scale (e.g. cave size, substrate and environmental stability). For spatial scale we determined land uses at three different landscape scales; we gathered these data into circular areas of different sizes (50, 100 and 250 meters) with centroids in the cave entrances. We finally performed three Distance Based Linear Modeling analyses to test for differences among the predictability of environmental variables when comparing different spatial scales. The best explanatory variable for cave invertebrate similarities was the percentage of covering of the external environment by limestone outcrops. We confirm the scale-dependence hypothesis through the different patterns showed among distinct buffer areas. Models become more precise when larger scales were analyzed to explain cave invertebrate composition. This suggests that larger scales capture important environmental features that explain the cave fauna similarities more precisely. Additionally, we found a strong influence of limestone outcrops at all landscape scale structuring cave communities.

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Habitat area and climate stability determine geographical variation in plant species range sizes

Cited by 140 publications

References 41 publications

Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense

Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense

Linking environmental filtering and disequilibrium to biogeography with a community climate framework

Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition

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