Moura Mario R, Villalobos Fabricio, Costa Gabriel C, Garcia Paulo C A
Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Red de Biologia Evolutiva, Instituto de Ecologia A.C., Veracruz, Mexico.
PLoS One. 2016 Mar 25;11(3):e0152468. doi: 10.1371/journal.pone.0152468. eCollection 2016.
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.
与气候、地形和植被相关的环境梯度(EG)是物种丰富度大规模格局的最重要驱动因素之一。然而,这些不同的环境梯度不一定以相似的方式驱动物种丰富度,在驱动物种丰富度时可能呈现协同关联。了解环境梯度之间的协同作用使我们能够解决全球气候和土地利用变化对生物多样性影响所产生的关键问题。在此,我们使用变异分解(也称为共性分析)来厘清不同环境梯度在解释新热带脊椎动物物种丰富度方面的独特贡献和共同贡献。我们使用三组广泛的预测变量来代表环境变异性:(i)气候(年平均温度、温度年较差、年降水量和降水范围),(ii)地形(平均海拔、海拔范围和海拔变异系数),以及(iii)植被(土地覆盖多样性、森林冠层高度的标准差和范围)。两种环境梯度之间的共同贡献用于量化环境梯度之间的协同过程,为驱动物种丰富度的因果关系提供新的视角。为了考虑空间结构过程,我们使用空间特征向量映射模型。我们对具有不同扩散能力的类群(两栖动物、非飞行哺乳动物、蝙蝠和鸟类)进行分析,并讨论迁移性对分解结果的影响。我们的研究结果表明,脊椎动物丰富度的大规模格局主要受气候和植被之间协同作用的影响,其次是气候的独特贡献。气候因素在解释扩散能力强的物种的物种丰富度方面相对更为重要。解释脊椎动物丰富度的植被变化大多是由气候构成的,这支持了生产力假说。此外,地形和植被之间较弱的协同作用促使在将地形复杂性用作栖息地(植被)异质性的替代指标时要谨慎。