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Title Landscape features support natural pest control and farm income when pesticide application is reduced
ID_Doc 64415
Authors Klinnert, A; Barbosa, AL; Catarino, R; Fellmann, T; Baldoni, E; Beber, C; Hristov, J; Paracchini, ML; Rega, C; Weiss, F; Witzke, P; Rodriguez-Cerezo, E
Title Landscape features support natural pest control and farm income when pesticide application is reduced
Year 2024
Published Nature Communications, 15, 1
DOI 10.1038/s41467-024-48311-3
Abstract Future trajectories of agricultural productivity need to incorporate environmental targets, including the reduction of pesticides use. Landscape features supporting natural pest control (LF-NPC) offer a nature-based solution that can serve as a partial substitute for synthetic pesticides, thereby supporting future productivity levels. Here, we introduce a novel approach to quantify the contribution of LF-NPC to agricultural yields and its associated economic value to crop production in a broad-scale context. Using the European Union as case study, we combine granular farm-level data, a spatially explicit map of LF-NPC potential, and a regional agro-economic supply and market model. The results reveal that farms located in areas characterized by higher LF-NPC potential experience lower productivity losses in a context of reduced synthetic pesticides use. Our analysis suggests that LF-NPC reduces yield gaps on average by four percentage points, and increases income by a similar magnitude. These results highlight the significance of LF-NPC for agricultural production and income, and provide a valuable reference point for farmers and policymakers aiming to successfully invest in landscape features to achieve pesticides reduction targets. The European Green Deal aims to promote biodiversity and reduce pesticide use. Here, the authors combine farm and landscape data from Europe showing that landscape features supporting natural pest control have a positive impact in productivity and farmer revenues when pesticide use is reduced.
Author Keywords
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001255072700001
WoS Category Multidisciplinary Sciences
Research Area Science & Technology - Other Topics
PDF https://www.nature.com/articles/s41467-024-48311-3.pdf
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