Published May 30, 2022 | Version 2
Dataset Open

Dataset for "Best organic farming deployment scenarios for pest control: a modeling approach" V3

Description

Organic Farming (OF) has been expanding recently in response to growing consumer demand and as a response to environmental concerns. The area under OF is expected to further increase in the future. The effect of OF expansion on pest densities in organic and conventional crops remains difficult to predict because OF expansion impacts Conservation Biological Control (CBC), which depends on the surrounding landscape context. In order to understand and forecast how pests and their biological control may vary during OF expansion, we modeled the effect of spatial changes in farming practices on population dynamics of a pest and its natural enemy. We investigated the impact on pest density and on predator to pest ratio of three contrasted scenarios aiming at 50% organic fields through the progressive conversion of conventional fields. Scenarios were 1) conversion of Isolated conventional fields first (IP), 2) conversion of conventional fields within Groups of conventional fields first (GP), and 3) Random conversion of conventional field (RD). We coupled a neutral spatially explicit landscape model to a predator-prey model to simulate pest dynamics in interaction with natural enemy predators. The three OF expansion scenarios were applied to nine landscape types differing in their proportion and fragmentation of semi-natural habitat. We further investigated if the ranking of scenarios was robust to pest control methods in OF fields and pest and predator dispersal abilities.

We found that organic farming expansion affected more predator densities than pest densities for most landscape types. The impact of OF expansion on final pest and predator densities was also stronger in organic than conventional fields and in landscapes with large proportions of highly fragmented semi-natural habitats. Based on pest densities and the predator to pest ratio, our results suggest that a progressive organic conversion with a focus on isolated conventional fields (scenario IP) could help promote CBC. Careful landscape planning of OF expansion appeared most necessary when pest management was substantially less efficient in organic than in conventional crops, and in landscapes with low proportion of semi-natural habitats.

This dataset contains simulation outputs and the R script that was used to describe, display and analyse data. The model itself can be found at https://doi.org/10.17605/OSF.IO/Z2QCX

Please note that this is the third version of this dataset, following recommendations from the PCI Ecology reviewers and editor.

Notes

Version 3: Scripts and data edited following recommendations from the PCI Ecology reviewers and editor.

Files

all_sim.txt

Files (5.0 GB)

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md5:64522e0b5da822ef6705f8e505b65df1
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md5:cc448b15d81858d2816f912db7332009
489.9 MB Download
md5:14e09f381e840a93457690212cd0a974
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md5:ea722fca61ca9b2c0cd066fa3cb28411
1.8 kB Download
md5:4bc2ca66d650a60bdae22e86e00dba8e
5.0 MB Download
md5:56349ec42a0a8276c32b1fc5da1b46a6
44.7 MB Download
md5:f0dcc88374c84fa0a6c0237db702df1f
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md5:947c5a7cf3e85cea1040d379f7d676ec
9.0 kB Preview Download
md5:9c90584d6acad67de99927c1151e9feb
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md5:fbf92baa5a100ce93deae6c5d9629ceb
38.2 kB Download

Additional details

Funding

Agence Nationale de la Recherche
PEERLESS - Predictive Ecological Engineering for Landscape Ecosystem Services and Sustainability ANR-12-AGRO-0006