Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions

By Carsten F. Dormann, Maria Bobrowski, D. M. Dehling, David J. Harris, Florian Hartig, Heike Lischke, M. Moretti, J. Pagel, Stefan Pinkert, Matthias Schleuning and 5 more. Global Ecology and Biogeography, 2018

263 citations recorded by the source corpus.

Aim: Recent studies increasingly use statistical methods to infer biotic interactions from co‐occurrence information at a large spatial scale. However, disentangling biotic interactions from other ...

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/77637e48c4545e404e645326b59e2eb8ebded48b

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

1. Thomas Sattler
2. Damaris Zurell
3. Rafael O. Wüest
4. Andri Baltensweiler
5. N. E. Zimmermann
6. Helge Gross
7. Antoine Guisan
8. A. Townsend Peterson

In Ecology

1. Thomas Sattler
2. Damaris Zurell
3. Rafael O. Wüest
4. Andri Baltensweiler
5. N. E. Zimmermann
6. Antoine Guisan
7. A. Townsend Peterson
8. Miguel B. Araújo

In Nature and Landscape Conservation

1. Thomas Sattler
2. Damaris Zurell
3. Rafael O. Wüest
4. Andri Baltensweiler
5. N. E. Zimmermann
6. Helge Gross
7. Antoine Guisan
8. Miguel B. Araújo

Citations in the corpus

• Testing species assemblage predictions from stacked and joint species distribution models (2019, background): “…SDMs is that they are able to disentangle environmental response from residual correla‐ tions among species that could be indicative of biotic interactions between these species or of missing and subscale environmental variability (Dormann et al., 2018; Pollock et al., 2014; Zurell et al., 2018).”