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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

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

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.

Suggested Citation

  • Chudzinska, Magda & Dupont, Yoko L. & Nabe-Nielsen, Jacob & Maia, Kate P. & Henriksen, Marie V. & Rasmussen, Claus & Kissling, W. Daniel & Hagen, Melanie & Trøjelsgaard, Kristian, 2020. "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," Ecological Modelling, Elsevier, vol. 430(C).
    • Handle: RePEc:eee:ecomod:v:430:y:2020:i:c:s0304380020301915
    DOI: 10.1016/j.ecolmodel.2020.109119
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