Disentangling the Role of Climate, Topography and Vegetation in Species Richness Gradients

• Published in: PloS one Vol. 11; no. 3; p. e0152468
• Main Authors: Moura, Mario R, Villalobos, Fabricio, Costa, Gabriel C, Garcia, Paulo C A
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25.03.2016; Public Library of Science (PLoS)
• Subjects: Amphibia; Amphibians; Analysis; Animal behavior; Animals; Annual precipitation; Bats; Biodiversity; Biogeography; Biology and Life Sciences; Biomass; Birds; Chiroptera; Climate; Climate and land use; Climate and vegetation; Climate change; Climate effects; Climate variability; Climatic variability; Coefficient of variation; Commonality; Databases, Factual; Dispersal; Dispersion; Earth Sciences; Ecology; Ecology and Environmental Sciences; Elevation; Forest canopy; Forests; Geography; Global climate; Habitats; Land cover; Land use; Mammals; Mean temperatures; Models, Theoretical; Partitioning; Plants; Population Dynamics; Precipitation; Rainfall; Social Sciences; Species richness; Synergism; Temperature; Topography; Variation; Vegetation; Vertebrates; Brazil; Rio Grande do Norte Brazil
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0152468

Environmental gradients (EG) related to climate, topography and vegetation are among the most important drivers of broad scale patterns of species richness. However, these different EG do not necessarily drive species richness in similar ways, potentially presenting synergistic associations when driving species richness. Understanding the synergism among EG allows us to address key questions arising from the effects of global climate and land use changes on biodiversity. Herein, we use variation partitioning (also know as commonality analysis) to disentangle unique and shared contributions of different EG in explaining species richness of Neotropical vertebrates. We use three broad sets of predictors to represent the environmental variability in (i) climate (annual mean temperature, temperature annual range, annual precipitation and precipitation range), (ii) topography (mean elevation, range and coefficient of variation of elevation), and (iii) vegetation (land cover diversity, standard deviation and range of forest canopy height). The shared contribution between two types of EG is used to quantify synergistic processes operating among EG, offering new perspectives on the causal relationships driving species richness. To account for spatially structured processes, we use Spatial EigenVector Mapping models. We perform analyses across groups with distinct dispersal abilities (amphibians, non-volant mammals, bats and birds) and discuss the influence of vagility on the partitioning results. Our findings indicate that broad scale patterns of vertebrate richness are mainly affected by the synergism between climate and vegetation, followed by the unique contribution of climate. Climatic factors were relatively more important in explaining species richness of good dispersers. Most of the variation in vegetation that explains vertebrate richness is climatically structured, supporting the productivity hypothesis. Further, the weak synergism between topography and vegetation urges caution when using topographic complexity as a surrogate of habitat (vegetation) heterogeneity.