A multi‐site method to capture turnover in rare to common interactions in bipartite species networks-Reference-Cited by-同舟云学术

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A multi‐site method to capture turnover in rare to common interactions in bipartite species networks

Published:2021-11-28 Issue:2 Volume:91 Page:404-416
ISSN:0021-8790
Container-title:Journal of Animal Ecology
language:en
Short-container-title:Journal of Animal Ecology

Author:

Henriksen Marie V.¹²^ORCID,Latombe Guillaume¹³^ORCID,Chapple David G.¹^ORCID,Chown Steven L.¹^ORCID,McGeoch Melodie A.¹⁴^ORCID

Affiliation:

1. School of Biological Sciences Monash University Clayton Vic. Australia

2. Department of Landscape and Biodiversity Norwegian Institute of Bioeconomy Research Trondheim Norway

3. Institute of Evolutionary Biology The University of Edinburgh Edinburgh UK

4. Department of Ecology, Environment and Evolution Centre for Future Landscapes La Trobe University Melbourne Vic. Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2656.13639

Reference61 articles.

1. Conserving the abundance of nonthreatened species

2. The nested assembly of plant-animal mutualistic networks

3. Habitat Fragmentation and Species Loss across Three Interacting Trophic Levels: Effects of Life-History and Food-Web Traits

4. Interaction rewiring and the rapid turnover of plant–pollinator networks

5. Beta Diversity of Plant-Pollinator Networks and the Spatial Turnover of Pairwise Interactions

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1. Limited function of road verges as habitat for species connecting plant–bee networks in remnant semi-natural grasslands;Philosophical Transactions of the Royal Society B: Biological Sciences;2024-07-22

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3. Future-proofing environmental DNA and trait-based predictions of food webs;BioScience;2023-11-01

4. Multi‐site interaction turnover in flea–mammal networks from four continents: Application of zeta diversity concept and multi‐site generalised dissimilarity modelling;Ecological Entomology;2023-03-25

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