Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring

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Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions (2018, background): “Spatial dynamic factor analysis (Thorson et al., 2016) Uses multiple time slices and allows for temporal variation in latent factors Yes Walk No”
Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017, background): “…of species associations are more representative of true interactions than raw co-occurrence indices (Stone & Roberts 1990; Gotelli 2000), especially if inference is derived from partial correlations (Ovaskainen et al. 2016a) or from time-series data (Ives et al. 2003; Thorson et al. 2016).”
How to make more out of community data? A conceptual framework and its implementation as models and software. (2017, background): “…joint species distribution models e.g. to presence–absence data or abundance data (Hui et al. 2015; Clark et al. 2017), as well as to study designs of spatial (Thorson et al. 2015; Ovaskainen et al. 2016b), temporal (Sebasti an-Gonz alez et al. 2010) or spatio-temporal (Thorson et al. 2016) nature.”