Key points are not available for this paper at this time.
This dataset provides a multi-scale and multi-year characterization of population, grain damage and larval parasitism of bruchid beetle populations (Coleoptera: Chrysomelidae: Bruchinae) populations, i.e . Bruchus rufimanus Boheman, 1833 and Bruchus signaticornis Gyllenhal, 1833. This dataset covers 45 faba bean ( Vicia faba Linnaeus, 1753) and 60 lentil ( Lens culinaris Medikus, 1787) fields across four major production regions in France. Data were collected over three consecutive growing seasons (2019–2020 to 2021–2022) across three phenological crop stages (vegetative, flowering, and young pods) and at five distances from field edge to capture spatio-temporal dynamics. Datasets include bruchid counts, grain damage as well as parasitism rates by micro-hymenoptera (mainly Triaspis cf. thoracica Curtis, 1860). Field observations are integrated with environmental variables, including GIS-based landscape metrics (land use, semi-natural habitats, and hedgerow length) calculated at 500, 1000, and 2000 m buffer radii from field observation plots. Additionally, daily meteorological data from the SAFRAN platform ( https://agroclim.inrae.fr/siclima/ ) at a resolution of 8-km grid and then aggregated per crop stage, covering temperature thresholds, precipitation, and wind speed. Agricultural management information, such as crop sowing dates, varieties, tillage and pest management, is also provided for each of the 105 fields. This integrated dataset allows for cross-disciplinary reuse in agronomy, ecology, and entomology to explore pest-enemy interactions, edge effects, and the influence of landscape and climate on crop-pest dynamics.
Herrera et al. (Mon,) studied this question.