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增加景观异质性,作为双赢的解决方案,以管理作物和林地害虫生物防治中的权衡。

Increasing landscape heterogeneity as a win-win solution to manage trade-offs in biological control of crop and woodland pests.

机构信息

Université de Toulouse, INRAE, DYNAFOR, Castanet-Tolosan, France.

Bordeaux Sciences Agro, INRAE, ISVV, SAVE, 33140, Villenave d'Ornon, France.

出版信息

Sci Rep. 2023 Aug 21;13(1):13573. doi: 10.1038/s41598-023-40473-2.

Abstract

Agriculture and forestry cover more than 75% of Europe, and invertebrate pests are a costly challenge for these two economic sectors. Landscape management is increasingly promoted as a solution to enhance biological pest control, but little is known on its effects on adjacent crop fields and woodlands. This study aims to explore the effect of the proportion of woodlands and permanent grasslands as well as crop diversity on biological pest control simultaneously in cereals fields and woodland patches, in south-western France. We used different types of sentinel prey as well as bird and carabid community metrics to assess biological pest control potential in these two ecosystems. We first show that land cover variables influence biological pest control both in cereal fields and woodland patches, but have antagonistic effects in the two ecosystems. Although results vary according to the biological control indicator considered, we show that increasing landscape heterogeneity represents a valuable solution to manage trade-offs and promote higher average predation rates across forests and cereal fields. Our study therefore calls for more integrative studies to identify landscape management strategies that enable nature-based solutions across ecosystems.

摘要

农业和林业覆盖了欧洲超过 75%的面积,而无脊椎害虫是这两个经济部门的一个代价高昂的挑战。景观管理越来越多地被提倡作为增强生物防治害虫的一种解决方案,但对于其对相邻的农田和林地的影响知之甚少。本研究旨在探索法国西南部的谷物田和林地斑块中林地和永久性草地的比例以及作物多样性对生物防治害虫的同时影响。我们使用了不同类型的哨兵猎物以及鸟类和步甲科昆虫群落指标来评估这两个生态系统中的生物防治害虫的潜力。我们首先表明,土地覆盖变量会影响谷物田和林地斑块中的生物防治害虫,但在这两个生态系统中具有拮抗作用。尽管结果因所考虑的生物防治指标而异,但我们表明,增加景观异质性是管理权衡和提高森林和谷物田整体捕食率的一种有价值的解决方案。因此,我们的研究呼吁进行更多的综合研究,以确定能够在生态系统中实现基于自然的解决方案的景观管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0910/10442452/b627ad8edc49/41598_2023_40473_Fig1_HTML.jpg

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