Combining the strengths of agent-based modelling and network statistics to understand animal movement and interactions with resources: example from within-patch foraging decisions of bumblebees

Magda Chudzinska, Yoko L. Dupont, Jacob Nabe-Nielsen, Kate P. Maia, Marie V. Henriksen, Claus Rasmussen, W. Daniel Kissling, Melanie Hagen and Kristian Trøjelsgaard

Ecological Modelling, 2020, vol. 430, issue C

Abstract: Understanding interactions between individual animals and their resources is fundamental to ecology. Agent-Based Models (ABMs) offer an opportunity to study how individuals move given the spatial distribution and characteristics of their resources. When contrasted with empirical individual-resource network data, ABMs can be a powerful method to detect the processes behind observed movement patterns, as they allow for a complete and quantitative analysis of the agent-to-environment relationships. Here we use the small-scale, within-patch movement of bumblebees (Bombus pascuorum) as a case study to demonstrate how ABMs can be combined with network statistics to provide a deeper understanding of the mechanisms behind the interactions between individuals and their resources.

Keywords: Individual-resource network; Bumblebee foraging patterns; Pattern-oriented modelling; Small-scale foraging (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:430:y:2020:i:c:s0304380020301915

DOI: 10.1016/j.ecolmodel.2020.109119

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