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Cited by 380

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Habitat loss and the structure of plant–animal mutualistic networks

Open access
Fortuna, Miguel A., Bascompte, Jordi·2006·Ecology Letters

Abstract

Recent papers have described the structure of plant–animal mutualistic networks. However, no study has yet explored the dynamical implications of network structure for the persistence of such mutualistic communities. Here, we develop a patch‐model of a whole plant–animal community and explore its persistence. To assess the role of network structure, we build three versions of the model. In the first version, we use the exact network of interactions of two real mutualistic communities. In the other versions, we randomize the observed network of interactions using two different null models. We show that the community response to habitat loss is affected by network structure. Real communities start to decay sooner than random communities, but persist for higher destruction levels. There is a destruction threshold at which the community collapses. Our model is the first attempt to describe the dynamics of whole mutualistic metacommunities interacting in realistic ways.

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Crossref · 10.1111/j.1461-0248.2005.00868.x

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Metadata

Authors
Fortuna, M. A., & Bascompte, J.
Venue
Ecology Letters
Publisher
Wiley
Published
2006-01-17
Volume
9
Issue
3
Pages
281-286
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2098507465
Cited by
380
References
1
FWCI
18.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Habitat loss and the structure of plant–animal mutualistic networks. https://app.cochat.ai/papers/10.1111/j.1461-0248.2005.00868.x
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Fortuna, M. A., & Bascompte, J. (2006). Habitat loss and the structure of plant–animal mutualistic networks. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2005.00868.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.