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Understanding the ecology of host plant–insect herbivore interactions in the fossil record through bipartite networks

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dc.contributor.author Swain, Anshuman en
dc.contributor.author Maccracken, S. A. en
dc.contributor.author Fagan, William F. en
dc.contributor.author Labandeira, Conrad C. en
dc.date.accessioned 2021-06-24T02:03:22Z
dc.date.available 2021-06-24T02:03:22Z
dc.date.issued 2021
dc.identifier.citation Swain, Anshuman, Maccracken, S. A., Fagan, William F., and Labandeira, Conrad C. 2021. "<a href="https://www.cambridge.org/core/product/identifier/S0094837321000208/type/journal_article">Understanding the ecology of host plant–insect herbivore interactions in the fossil record through bipartite networks</a>." <em>Paleobiology</em>. 1&ndash;22. <a href="https://doi.org/10.1017/pab.2021.20">https://doi.org/10.1017/pab.2021.20</a> en
dc.identifier.issn 0094-8373
dc.identifier.uri https://hdl.handle.net/10088/110649
dc.description.abstract Plant–insect associations have been a significant component of terrestrial ecology for more than 400 Myr. Exploring these interactions in the fossil record through novel perspectives provides a window into understanding evolutionary and ecological forces that shaped these interactions. For the past several decades, researchers have documented, described, and categorized fossil evidence of these interactions. Drawing on powerful tools from network science, we propose here a bipartite network representation of fossilized plants and their herbivore-induced leaf damage to understand late Paleozoic plant–insect interactions at the local community level. We focus on four assemblages from north-central Texas, but the methods used in this work are general and can be applied to any well-preserved fossil flora. Network analysis can address key questions in the evolution of insect herbivory that often would be difficult to summarize using standard herbivory metrics. en
dc.relation.ispartof Paleobiology en
dc.title Understanding the ecology of host plant–insect herbivore interactions in the fossil record through bipartite networks en
dc.type Journal Article en
dc.identifier.srbnumber 159762
dc.identifier.doi 10.1017/pab.2021.20
rft.jtitle Paleobiology
rft.spage 1
rft.epage 22
dc.description.SIUnit NMNH en
dc.description.SIUnit NH-Paleobiology en
dc.citation.spage 1
dc.citation.epage 22
dc.relation.url https://www.cambridge.org/core/product/identifier/S0094837321000208/type/journal_article


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