A patch-dynamic metacommunity perspective on the persistence of mutualistic and antagonistic bipartite networks

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dc.contributor.affiliationUniversity of Helsinki-Strona, Giovanni
dc.contributor.authorStrona, Giovanni
dc.date.accessioned2025-04-29T14:02:51Z
dc.date.issued2022-01-20
dc.date.issued2022-01-20
dc.descriptionThe structure of interactions between species within a community plays a key role in maintaining biodiversity. Previous studies have found that the effects of these structures might substantially differ depending on interaction type, for example, a highly connected and nested architecture stabilizes mutualistic communities, while the stability of antagonistic communities is enhanced in modular and weakly connected structures. Here we show that, when network dynamics are modelled using a patch-dynamic metacommunity framework, the qualitative differences between antagonistic and mutualistic systems disappear, with nestedness and modularity interacting to promote metacommunity persistence. However, the interactive effects are significantly weaker in antagonistic metacommunities. Our model also predicts an increase in connectance, nestedness and modularity over time in both types of interaction, except in antagonistic networks where nestedness declines. At steady state, we find a strong negative correlation between nestedness and modularity in both mutualistic and antagonistic metacommunities. These predictions are consistent with the structural trends found in a large dataset of real-world antagonistic and mutualistic communities.
dc.identifierhttps://doi.org/10.5061/dryad.mkkwh7121
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/5413
dc.rights.licensecc-zero
dc.subjectMutualistic Network
dc.subjectAntagonistic networks
dc.subjectFish-parasite interactions
dc.subjectPlant-herbivory interactions
dc.subjecthost-parasite interactions
dc.subjectseed-eating interactions
dc.subjectplant-ant interactions
dc.subjectPollinations
dc.subjectanimal seed dispersal
dc.titleA patch-dynamic metacommunity perspective on the persistence of mutualistic and antagonistic bipartite networks
dc.typedataset

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