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The use of joint models in biodiversity modeling

The appearance of joint species distribution models (JSDMs) in ecological research and applications is promising - JSDMs let us model potential habitat suitability of species not in isolation but including inter-specific associations. This project aims to evaluate the advantages and to identify potential pitfalls of using JSDMs in biodiversity research and applications.

Project details

Project duration

2018 - 2020

Project lead

Dr. Rafael Wüest Karpati

Biodiversity and Conservation Biology

Spatial Evolutionary Ecology

Birmensdorf

Deputy

Prof. Dr. Damaris Zurell

Project staff

Prof. Dr. David Roberts

Cooperation

FURTHER INFORMATION

Publications

Zurell, D.; Zimmermann, N.E.; Gross, H.; Baltensweiler, A.; Sattler, T.; Wüest, R.O., 2020: Testing species assemblage predictions from stacked and joint species distribution models. Journal of Biogeography, 47, 1: 101-113. doi: 10.1111/jbi.13608

Wüest, R.O.; Münkemüller, T.; Lavergne, S.; Pollock, L.J.; Thuiller, W., 2018: Integrating correlation between traits improves spatial predictions of plant functional composition. Oikos, 127, 3: 472-481. doi: 10.1111/oik.04420

Zurell, D., 2017: Integrating demography, dispersal and interspecific interactions into bird distribution models. Journal of Avian Biology, 48, 12: 1505-1516. doi: 10.1111/jav.01225

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Project details

Project duration

Project lead

Deputy

Project staff

Cooperation