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Perception-based foraging for competing resources: Assessing pest population dynamics at the landscape scale from heterogeneous resource distribution

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  • Bourhis, Yoann
  • Poggi, Sylvain
  • Mammeri, Youcef
  • Cortesero, Anne-Marie
  • Le Ralec, Anne
  • Parisey, Nicolas

Abstract

Resource distribution, through its effects on individual foraging and survival, drives population dynamics across the landscape. In an agricultural context, resource distribution is therefore a key information in assessing whether or not a pest population may invade and persist in a given environment. Addressing this issue by means of numerical exploration requires a population model with a sound dependence on the landscape. In this paper, we demonstrate that this dependence is effectively secured by a multi-scale description of the population. We derived a reaction–diffusion population model accounting for two individual-scale processes determining resource utilisation: (1) resource perception as a determinant of mobility and (2) energy supply management as a determinant of survival. In this model, the distribution of two competing resources (feeding and laying sites) affects the spatial population dynamics of a dipteran pest through a heterogeneous dispersion of the individuals and a metabolic currency. We conducted a global sensitivity analysis to evaluate the impact of both individual-scale processes on the population dynamics. This exploration demonstrated the biological relevance of the model according to field observations and theoretical expectations. Our key finding is that resource perception and energy supply management appear as significant as the demographic component regarding the resulting dynamics of the pest. Building on its acute multi-scale landscape dependence, this model may be particularly useful for investigating the putative relationships between agricultural landscape features and pest outbreaks.

Suggested Citation

  • Bourhis, Yoann & Poggi, Sylvain & Mammeri, Youcef & Cortesero, Anne-Marie & Le Ralec, Anne & Parisey, Nicolas, 2015. "Perception-based foraging for competing resources: Assessing pest population dynamics at the landscape scale from heterogeneous resource distribution," Ecological Modelling, Elsevier, vol. 312(C), pages 211-221.
    • Handle: RePEc:eee:ecomod:v:312:y:2015:i:c:p:211-221
    DOI: 10.1016/j.ecolmodel.2015.05.029
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    1. Papaïx, Julien & Touzeau, Suzanne & Monod, Hervé & Lannou, Christian, 2014. "Can epidemic control be achieved by altering landscape connectivity in agricultural systems?," Ecological Modelling, Elsevier, vol. 284(C), pages 35-47.
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    3. Tibor F. Liska, 2007. "The Liska model," Society and Economy, Akadémiai Kiadó, Hungary, vol. 29(3), pages 363-381, December.
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    1. Bellot, Benoit & Poggi, Sylvain & Baudry, Jacques & Bourhis, Yoann & Parisey, Nicolas, 2018. "Inferring ecological processes from population signatures: A simulation-based heuristic for the selection of sampling strategies," Ecological Modelling, Elsevier, vol. 385(C), pages 12-25.
    2. Catarino, Rui & Areal, Francisco & Park, Julian & Parisey, Nicolas, 2019. "Spatially explicit economic effects of non-susceptible pests' invasion on Bt maize," Agricultural Systems, Elsevier, vol. 175(C), pages 22-33.
    3. Poggi, Sylvain & Sergent, Mike & Mammeri, Youcef & Plantegenest, Manuel & Le Cointe, Ronan & Bourhis, Yoann, 2021. "Dynamic role of grasslands as sources of soil-dwelling insect pests: New insights from in silico experiments for pest management strategies," Ecological Modelling, Elsevier, vol. 440(C).
    4. Bourhis, Yoann & Poggi, Sylvain & Mammeri, Youcef & Le Cointe, Ronan & Cortesero, Anne-Marie & Parisey, Nicolas, 2017. "Foraging as the landscape grip for population dynamics—A mechanistic model applied to crop protection," Ecological Modelling, Elsevier, vol. 354(C), pages 26-36.

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