Testing species assemblage predictions from stacked and joint species distribution models
By Damaris Zurell, N. E. Zimmermann, Helge Gross, Andri Baltensweiler, Thomas Sattler, Rafael O. Wüest. Journal of Biogeography, 2019
139 citations recorded by the source corpus.
Predicting the spatial distribution of species assemblages remains an important challenge in biogeography. Recently, it has been proposed to extend correlative species distribution models (SDMs) by taking into account (a) covariance between species occurrences in so‐called joint species distribution models (JSDMs) and (b) ecological assembly rules within the SESAM (spatially explicit species assemblage modelling) framework. Yet, little guidance exists on how these approaches could be combined. We, thus, aim to compare the accuracy of assemblage predictions derived from stacked and from joint SDMs.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0e0ecf8d949e4a336117cc8b70614c25c86041e6
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
- Jane Elith
- Antoine Guisan
- Wilfried Thuiller
- A. Townsend Peterson
- Miguel B. Araújo
- Janet Franklin
- N. E. Zimmermann
- Jorge M. Lobo
In Ecology
- Jane Elith
- Antoine Guisan
- Wilfried Thuiller
- A. Townsend Peterson
- Miguel B. Araújo
- Janet Franklin
- N. E. Zimmermann
- Jorge Soberón
In Nature and Landscape Conservation
- Jane Elith
- Antoine Guisan
- Wilfried Thuiller
- A. Townsend Peterson
- Miguel B. Araújo
- Janet Franklin
- N. E. Zimmermann
- Jorge M. Lobo
Citations in the corpus
- A standard protocol for reporting species distribution models (2020, methodology): “In principle, this protocol should work for any empirically-based biodiversity model beyond single species distribution models, including e.g. community-level models (D’Amen et al. 2017, Norberg et al. 2019, Zurell et al. 2020) and models of functional composition (Wüest et al. 2018).”