A new joint species distribution model for faster and more accurate inference of species associations from big community data

URN to cite this document:: urn:nbn:de:bvb:355-epub-478374
DOI to cite this document:: 10.5283/epub.47837

Pichler, Maximilian

; Hartig, Florian

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Date of publication of this fulltext: 13 Aug 2021 10:18

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Abstract

Joint species distribution models (JSDMs) explain spatial variation in community composition by contributions of the environment, biotic associations and possibly spatially structured residual covariance. They show great promise as a general analytical framework for community ecology and macroecology, but current JSDMs, even when approximated by latent variables, scale poorly on large datasets, ...