Pairwise learning for predicting pollination interactions based on traits and phylogeny

Michiel Stock, Niels Piot, Sarah Vanbesien, Joris Meys, Guy Smagghe and Bernard De Baets

Ecological Modelling, 2021, vol. 451, issue C

Abstract: Mutualistic bee–plant interaction networks are a vital part of terrestrial ecosystems. They frequently arise through co-evolutionary processes, which match the traits of both partners, facilitating their interaction. Insights in these interaction mechanisms are vital to be able to manage changing ecosystems. This entails the need for models to predict species interaction networks in general and pollination networks in particular.

Keywords: Pollination; Bee-plant interaction; Pairwise learning; Cross-validation; Megachile sculpturalis (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:451:y:2021:i:c:s030438002100079x

DOI: 10.1016/j.ecolmodel.2021.109508

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