Do joint species distribution models reliably detect interspecific interactions from co‐occurrence data in homogenous environments?
By Damaris Zurell, Laura J. Pollock, Wilfried Thuiller. 2018
148 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/aa9c5ac35fb025c2762ddcf44a15653779ac338b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Wilfried Thuiller
- N. E. Zimmermann
- Jane Elith
- Laure Gallien
- Damaris Zurell
- Antoine Guisan
- T. Münkemüller
- Miguel B. Araújo
In Ecology, Evolution, Behavior and Systematics
- N. E. Zimmermann
- T. Münkemüller
- Laure Gallien
- Damaris Zurell
- Wilfried Thuiller
- M. Carboni
- Laura J. Pollock
- Thomas Sattler
In Nature and Landscape Conservation
- Wilfried Thuiller
- N. E. Zimmermann
- Jane Elith
- Laure Gallien
- Damaris Zurell
- Antoine Guisan
- Miguel B. Araújo
- T. Münkemüller
Citations in the corpus
- Testing species assemblage predictions from stacked and joint species distribution models (2019, background): “JSDMs simultaneously estimate the species-environment relationship of multiple species and the residual correlation between those species that could be indicative of biotic interactions (Zurell et al., 2018), but also missing environmental information and other ecological processes.”
- Dos and don'ts when inferring assembly rules from diversity patterns (2020, background): “To gain a better understanding of the ecological meaning of these residual covariance matrices, one could test them using simulated data (Zurell et al., 2018) or one could link empirically estimated covariance matrices to trait and/or phylogenetic diversity patterns, assuming that a strong…”