Analyzing dynamic species abundance distributions using generalized linear mixed models-Reference-Cited by-同舟云学术

Analyzing dynamic species abundance distributions using generalized linear mixed models

Published:2022-06-23 Issue:9 Volume:103 Page:
ISSN:0012-9658
Container-title:Ecology
language:en
Short-container-title:Ecology

Author:

Solbu Erik Blystad¹^ORCID,van der Veen Bert¹²³^ORCID,Herfindal Ivar³^ORCID,Hovstad Knut Anders³⁴^ORCID

Affiliation:

1. Department of Landscape and Biodiversity Norwegian Institute of Bioeconomy Research (NIBIO) Trondheim Norway

2. Department of Mathematics Norwegian University of Science and Technology (NTNU) Trondheim Norway

3. Centre for Biodiversity Dynamics, Department of Biology Norwegian University of Science and Technology (NTNU) Trondheim Norway

4. Norwegian Biodiversity Information Centre Trondheim Norway

Funder

Norges Forskningsråd

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.3742

Reference41 articles.

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3. Generalized linear mixed models: a practical guide for ecology and evolution

4. Brondizio E. S. J.Settele S.Díaz andH. T.Ngo.2019. “Global Assessment Report on Biodiversity and Ecosystem Services of the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services.” Bonn Germany.

5. glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

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