2018
DOI: 10.1111/ddi.12695
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Geographical gradients in the biodiversity of Chinese freshwater molluscs: Implications for conservation

Abstract: Aim: Large-scale diversity patterns are generated by different but not mutually exclusive mechanisms. However, understanding of multiple facets of diversity and their determinants in the freshwater realm remains limited. Here, we characterized the geographical gradients, hotspots and spatial congruence of three facets of freshwater molluscan diversity and evaluated the relative importance of three different underlying mechanisms related to the energy, area/environmental heterogeneity and dispersal/historical h… Show more

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Cited by 38 publications
(38 citation statements)
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References 54 publications
(165 reference statements)
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“…Multiple linear regression models (MLR) were used to examine the relationships between diversity indices and each set of explanatory variables (Preacher, Curran, & Bauer, 2006). This simple and heuristic approach is widely used to determine the ecological drivers most strongly associated with biodiversity patterns (Cai, Zhang, Xu, & Heino, 2018;Heino & Tolonen, 2017b). Prior to the analyses, highly correlated independent variables (Pearson's r > 0.75) from each set of environmental variables (i.e., landscape-climate and habitat-scale variables) were removed to reduce multicollinearity.…”
Section: Discussionmentioning
confidence: 99%
“…Multiple linear regression models (MLR) were used to examine the relationships between diversity indices and each set of explanatory variables (Preacher, Curran, & Bauer, 2006). This simple and heuristic approach is widely used to determine the ecological drivers most strongly associated with biodiversity patterns (Cai, Zhang, Xu, & Heino, 2018;Heino & Tolonen, 2017b). Prior to the analyses, highly correlated independent variables (Pearson's r > 0.75) from each set of environmental variables (i.e., landscape-climate and habitat-scale variables) were removed to reduce multicollinearity.…”
Section: Discussionmentioning
confidence: 99%
“…Dispersal limitation was the most consistent and strongest determinant of variation in taxonomic and functional total dissimilarity, including its turnover and nestedness components. Assemblages of strict freshwater species with low dispersal capacities via riverine corridors, such as fish, receive new colonists so rarely that immigration and speciation processes often occur on similar time scales and can be considered as specific to each catchment (Cai et al, 2018;Reyjol et al, 2007;Schleuter et al, 2012;Tisseuil et al, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…Catchments are also relatively independent entities separated by natural barriers (i.e. mountains), within which there is a high degree of connectivity between habitats and less variation in environmental parameters (Cai, Xu, Zhang, Wang, & Heino, 2019;Cai, Zhang, Xu, & Heino, 2018;Reyjol et al, 2007;Schleuter et al, 2012;Tisseuil et al, 2013). Therefore, they can be effectively used in a comparative analysis to explore the factors driving assemblage patterns amongst them.…”
Section: Data Acquisition and Key Definitionsmentioning
confidence: 99%
“…The variation in species composition may thus sometimes fall short in providing a comprehensive picture of community assembly (Devictor et al ; Carmona et al ). Current research emphasizes that multiple facets of biodiversity (i.e., taxonomic, functional, and phylogenetic diversity) should be considered to provide a clearer picture of spatial patterning of ecological communities (Devictor et al ; Cai et al ). Functional (or trait‐based) approaches can provide a more mechanistic perspective of the community‐environment relationships and functioning of ecosystems in comparison to purely taxonomic approaches (Cadotte et al ).…”
mentioning
confidence: 99%