Community structure determines the predictability of population collapse-Reference-Cited by-同舟云学术

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Community structure determines the predictability of population collapse

Published:2022-07-10 Issue:9 Volume:91 Page:1880-1891
ISSN:0021-8790
Container-title:Journal of Animal Ecology
language:en
Short-container-title:Journal of Animal Ecology

Author:

Baruah Gaurav¹²^ORCID,Ozgul Arpat²,Clements Christopher F.³

Affiliation:

1. Department of Fish Ecology and Evolution, Center for Ecology, Evolution and Biogeochemistry Eawag Kastanienbaum Switzerland

2. Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland

3. School of Biological Sciences, Bristol Life Sciences Building University of Bristol Bristol UK

Funder

FP7 Ideas: European Research Council

Publisher

Wiley

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2656.13769

Reference52 articles.

1. Effect of time series length and resolution on abundance‐ and trait‐based early warning signals of population declines

2. The Effect of Intra- and Interspecific Competition on Coexistence in Multispecies Communities

3. Self-regulation and the stability of large ecological networks

4. The impact of individual variation on abrupt collapses in mutualistic networks

5. Baruah G.(2022b).GauravKBaruah/community_ews: For Journal of Animal Ecology.Zenodo https://doi.org/10.5281/zenodo.6721056

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1. Predicting recoverability of collapsed food webs through perturbation and dimension reduction;2024-07-13

2. Stability, resilience and eco‐evolutionary feedbacks of mutualistic networks to rising temperature;Journal of Animal Ecology;2024-06-10

3. Mutualistic network architecture and eco-evolutionary feedbacks modulate the occurrence of transitions and stability in response to rising temperature;2023-10-10

4. Reviving collapsed networks from a single species: the importance of trait variation and network architecture;2023-10-02

5. EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models;Ecography;2023-07-10

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