Information content in pollination network reveals missing interactions

Michiel Stock, Niels Piot, Sarah Vanbesien, Bernard Vaissière, Clémentine Coiffait-Gombault, Guy Smagghe and Bernard De Baets

Ecological Modelling, 2020, vol. 431, issue C

Abstract: Network analysis is an indispensable part of ecological studies. Specifically, networks have played a pivotal role in studying the diversity, dynamics and functionality of pollination systems. Recording plant-pollinator interaction networks is a laborious task, prone to missing or false negative interactions. Several methods enable the assessment of sampling completeness of the network with the use of species accumulation curves or Chao estimators. However, these methods do not provide a way to identify which interactions might be missed in the field. Methods that enable a more directed and focused field sampling are needed. Such methods would greatly benefit plant-pollinator studies and network studies in general.

Keywords: Pollination; False negatives; Missing interaction; Networks; Information theory; Linear filtering (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:431:y:2020:i:c:s0304380020302325

DOI: 10.1016/j.ecolmodel.2020.109161

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