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Foraging as the landscape grip for population dynamics—A mechanistic model applied to crop protection

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

Abstract

Individual ability to survive and reproduce is driven by the foraging for various kinds of resources. In agricultural landscapes, accounting for the distributions of the resources foraged by a pest can help in assessing whether or not its population may damage crops. Such outcome results from landscape-dependent processes occurring at several biological scales. We present a reaction–advection–diffusion population dynamics model accounting for the foraging process as a driver of an insect pest redistribution in space. It is based on three individual-scale components: resource perception, energy supply management, as well as their optimal interaction determining the optimal foraging strategies. These elements depend on the distribution of two competing resources (namely, feeding and laying sites) affecting (resp. positively or negatively) the energy supply of an insect pest. Here, resource distribution affects the population dynamics through (1) directed motions towards needed resources in response to their perception, and (2) a metabolic currency materialised by a limited laying ability and an additional death by starvation. Building on its multiscale and mechanistically enhanced sensitivity to landscape modifications, we applied this calibrated tool to a theoretical landscape planning problem. Eventually, the model appears as an efficient tool to achieve pest control, used to propose landscape arrangements more resilient to pest outbreaks.

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  • 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.
    • Handle: RePEc:eee:ecomod:v:354:y:2017:i:c:p:26-36
    DOI: 10.1016/j.ecolmodel.2017.03.005
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    1. Van den Meersche, Karel & Soetaert, Karline & Van Oevelen, Dick, 2009. "xsample(): An R Function for Sampling Linear Inverse Problems," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(c01).
    2. Olsson, Ola & Bolin, Arvid & Smith, Henrik G. & Lonsdorf, Eric V., 2015. "Modeling pollinating bee visitation rates in heterogeneous landscapes from foraging theory," Ecological Modelling, Elsevier, vol. 316(C), pages 133-143.
    3. Potgieter, L. & van Vuuren, J.H. & Conlong, D.E., 2015. "The role of heterogeneous agricultural landscapes in the suppression of pest species following random walk dispersal patterns," Ecological Modelling, Elsevier, vol. 306(C), pages 240-246.
    4. Gaucherel, C., 2008. "Neutral models for polygonal landscapes with linear networks," Ecological Modelling, Elsevier, vol. 219(1), pages 39-48.
    5. 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.
    6. 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.
    7. Tyutyunov, Yuri & Zhadanovskaya, Ekaterina & Bourguet, Denis & Arditi, Roger, 2008. "Landscape refuges delay resistance of the European corn borer to Bt-maize: A demo-genetic dynamic model," Theoretical Population Biology, Elsevier, vol. 74(1), pages 138-146.
    8. Sorel, Luc & Viaud, Valérie & Durand, Patrick & Walter, Christian, 2010. "Modeling spatio-temporal crop allocation patterns by a stochastic decision tree method, considering agronomic driving factors," Agricultural Systems, Elsevier, vol. 103(9), pages 647-655, November.
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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. 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).

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