Fergnani Paula Nilda, Ruggiero Adriana, Ceccarelli Soledad, Menu Frédéric, Rabinovich Jorge
Laboratorio Ecotono, Centro Regional Universitario Bariloche, Instituto de Investigaciones en Biodiversidad y Medioambiente, Universidad Nacional del Comahue, Argentina, San Carlos de BarilocheRío Negro.
Centro de Estudios Parasitológicos y de Vectores, Universidad Nacional de La Plata, Argentina, La PlataBuenos Aires.
Mem Inst Oswaldo Cruz. 2013 Dec;108(8):997-1008. doi: 10.1590/0074-0276130369.
We analysed the spatial variation in morphological diversity (MDiv) and species richness (SR) for 91 species of Neotropical Triatominae to determine the ecological relationships between SR and MDiv and to explore the roles that climate, productivity, environmental heterogeneity and the presence of biomes and rivers may play in the structuring of species assemblages. For each 110 km x 110 km-cell on a grid map of America, we determined the number of species (SR) and estimated the mean Gower index (MDiv) based on 12 morphological attributes. We performed bootstrapping analyses of species assemblages to identify whether those assemblages were more similar or dissimilar in their morphology than expected by chance. We applied a multi-model selection procedure and spatial explicit analyses to account for the association of diversity-environment relationships. MDiv and SR both showed a latitudinal gradient, although each peaked at different locations and were thus not strictly spatially congruent. SR decreased with temperature variability and MDiv increased with mean temperature, suggesting a predominant role for ambient energy in determining Triatominae diversity. Species that were more similar than expected by chance co-occurred near the limits of the Triatominae distribution in association with changes in environmental variables. Environmental filtering may underlie the structuring of species assemblages near their distributional limits.
我们分析了91种新热带区锥蝽亚科昆虫的形态多样性(MDiv)和物种丰富度(SR)的空间变化,以确定SR和MDiv之间的生态关系,并探讨气候、生产力、环境异质性以及生物群落和河流的存在在物种组合结构中可能发挥的作用。对于美洲网格地图上每110 km×110 km的单元格,我们确定了物种数量(SR),并基于12个形态学属性估计了平均高尔指数(MDiv)。我们对物种组合进行了自抽样分析,以确定这些组合在形态上是否比随机预期的更相似或更不相似。我们应用了多模型选择程序和空间明确分析来解释多样性与环境关系的关联。MDiv和SR均呈现出纬度梯度,尽管它们在不同位置达到峰值,因此在空间上并非严格一致。SR随温度变异性降低,MDiv随平均温度升高,这表明环境能量在决定锥蝽亚科多样性方面起主要作用。在锥蝽亚科分布极限附近,比随机预期更相似的物种与环境变量的变化共同出现。环境过滤可能是物种组合在其分布极限附近结构形成的基础。