Abstract:
: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.
journal_name
Ecologyjournal_title
Ecologyauthors
Ovaskainen O,Ramos DL,Slade EM,Merckx T,Tikhonov G,Pennanen J,Pizo MA,Ribeiro MC,Morales JMdoi
10.1002/ecy.2622subject
Has Abstractpub_date
2019-04-01 00:00:00pages
e02622issue
4eissn
0012-9658issn
1939-9170journal_volume
100pub_type
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