Organismal and Evolutionary Biology Research Programme, University of Helsinki, P.O. Box 65, Helsinki, 00014, Finland.
Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, N-7491, Norway.
Ecology. 2019 Apr;100(4):e02622. doi: 10.1002/ecy.2622. Epub 2019 Feb 21.
Joint species distribution modeling has enabled researchers to move from species-level to community-level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose joint species movement modeling (JSMM) as an analogous approach that enables inferring both species- and community-level movement parameters from multispecies movement data. The species-level movement parameters are modeled as a function of species traits and phylogenetic relationships, allowing one to ask how species traits influence movements, and whether phylogenetically related species are similar in their movement behavior. We illustrate the modeling framework with two contrasting case studies: a stochastic redistribution model for direct observations of bird movements and a spatially structured diffusion model for capture-recapture data on moth movements. In both cases, the JSMM identified several traits that explain differences in movement behavior among species, such as movement rate increasing with body size in both birds and moths. We show with simulations that the JSMM approach increases precision of species-specific parameter estimates by borrowing information from other species that are closely related or have similar traits. The JSMM framework is applicable for many kinds of data, and it facilitates a mechanistic understanding of the causes and consequences of interspecific variation in movement behavior.
联合物种分布模型使研究人员能够从物种层面转移到群落层面的分析，从而更有效地利用数据进行统计学分析，并提供更丰富的生态学信息。在这里，我们提出联合物种运动模型（JSMM）作为一种类似的方法，能够从多物种运动数据中推断出物种和群落层面的运动参数。物种层面的运动参数被建模为物种特征和系统发育关系的函数，允许人们询问物种特征如何影响运动，以及系统发育上相关的物种在运动行为上是否相似。我们通过两个对比案例研究来说明建模框架：用于直接观察鸟类运动的随机再分配模型和用于蛾类运动的捕获-再捕获数据的空间结构扩散模型。在这两种情况下，JSMM 确定了几个特征可以解释物种间运动行为的差异，例如鸟类和蛾类的运动速度随体型的增加而增加。我们通过模拟表明，JSMM 方法通过从密切相关或具有相似特征的其他物种中借用信息，增加了特定物种参数估计的精度。JSMM 框架适用于多种类型的数据，并促进了对运动行为种间变异的原因和后果的机制理解。
