A model-based approach to assess the effectiveness of pest biocontrol by natural enemies
Mamadou Ciss, Sylvain Poggi, Mohamed-Mahmoud Memmah, Pierre Franck,, Marie Gosme, Nicolas Parisey, Lionel Roques

TL;DR
This paper presents a modeling approach combining landscape and population dynamics to evaluate how landscape composition and management strategies influence pest biocontrol effectiveness and landscape productivity.
Contribution
It introduces a novel integrated stochastic and spatially-explicit model to assess biocontrol effectiveness across diverse agricultural landscapes.
Findings
Pesticide effectiveness, treatment intensity, and pest growth rate are key drivers of productivity.
Reducing pesticide use can be partly offset by natural enemies but not fully.
Habitat fragmentation and crop rotation have marginal effects compared to natural enemy predation.
Abstract
Main goal: The aim of this note is to propose a modeling approach for assessing the effectiveness of pest biocontrol by natural enemies in diversified agricultural landscapes including several pesticide-based management strategies. Our approach combines a stochastic landscape model with a spatially-explicit model of population dynamics. It enables us to analyze the effect of the landscape composition (proportion of semi-natural habitat, non-treated crops, slightly treated crops and conventionally treated crops) on the effectiveness of pest biocontrol. Effectiveness is measured through environmental and agronomical descriptors, measuring respectively the impact of the pesticides on the environment and the average agronomic productivity of the whole landscape taking into account losses caused by pests. Conclusions: The effectiveness of the pesticide, the intensity of the treatment and…
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Taxonomy
TopicsEcology and Vegetation Dynamics Studies · Animal Ecology and Behavior Studies · Ecosystem dynamics and resilience
