Pest-regulating networks of the coffee berry borer (Hypothenemus hampei) in agroforestry systems

Autor: Leïla Bagny Beilhe, Sacha Roudine, Dominique Carval, José Alcides Quintero Perez, Rémi Mauxion, Djavan Daout, Clémentine Allinne
Přispěvatelé: Bioagresseurs, analyse et maîtrise du risque (UPR Bioagresseurs), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Fonctionnement écologique et gestion durable des agrosystèmes bananiers et ananas (UR GECO), The present work was funded by the Agropolis Foundation, STRADIV project (no. 1504-003). The project was carried out within the framework of the Agroforestry Systems with Perennial Crops Scientific Partnership Platform (PCP AFS-PC).
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Crop Protection
Crop Protection, Elsevier, 2020, 131, pp.105036. ⟨10.1016/j.cropro.2019.105036⟩
ISSN: 0261-2194
1873-6904
Popis: International audience; Highlights:• The most diversified groups of predatory ants had a significant negative top down effect on CBB infestation.• Higher % of shade favours CBB infestation.• Regulation of CBB depends on the balance between the effects of local (in plot) and global (farm level) variables.• Farmers practices could be efficient to manage CBB and to reduce related damage.• Holistic approach is required to characterize more precisely regulating network in agroforestry systems.Abstract:Pest regulation in agroforestry systems (AFS) is beginning to be well-recognized, but the mechanisms implied in the interaction network between the environment, pests and predators in AFS are still not well-described. The aim of this work is to understand how plant diversity associated with AFS regulates the coffee berry borer (CBB) taking into account a tripartite interaction network: pest–predator–environment. It further seeks to understand how farmers' management practices can modify the regulating network. Using field data from coffee-based AFS and structural equation modeling, we assessed the effects of environmental conditions (% shade cover, tree area surface, coffee density) and farm management (conventional, integrated, organic) on (1) ant predatory groups, (2) the abundance and the damage from CBB and (3) their interactions. Percentage of shade cover was positively correlated to CBB initial infestation (through direct effect) and negatively through its effect on coffee phenology. A higher percentage of shade is also negatively related to damage intensity. Farmers’ practices significantly reduced the CBB population without considerable side effects on the ant predatory group, probably due to the high plant diversity within these farms. The abundance of the most diversified ant predatory group has a top-down effect on the peak of the CBB infestation rate. Our approach appears promising for a better understanding of the complex regulating network in coffee AFS and confirms the importance of an integrated management strategy to reduce CBB damage.
Databáze: OpenAIRE
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