Edge-biased distributions of insects. A review

文献类型： 外文期刊

第一作者： Nguyen, Hoang Danh Derrick

作者： Nguyen, Hoang Danh Derrick;Nansen, Christian;Nansen, Christian

作者机构：

关键词： Spatial distribution;Insect sampling;Pest management;Precision agriculture

期刊名称：AGRONOMY FOR SUSTAINABLE DEVELOPMENT （ 影响因子：5.832； 五年影响因子：9.354 ）

ISSN： 1774-0746

年卷期： 2018 年 38 卷 1 期

页码：

收录情况： SCI

摘要： Spatial ecology includes research into factors responsible for observed distribution patterns of organisms. Moreover, the spatial distribution of an animal at a given spatial scale and in a given landscape may provide valuable insight into its host preference, fitness, evolutionary adaptation potential, and response to resource limitations. In agro-ecology, in-depth understanding of spatial distributions of insects is of particular importance when the goals are to (1) promote establishment and persistence of certain food webs, (2) maximize performance of pollinators and natural enemies, and (3) develop precision-targeted monitoring and detection of emerging outbreaks of herbivorous pests. In this article, we review and discuss a spatial phenomenon that is widespread among insect species across agricultural systems and across spatial scales-they tend to show "edge-biased distributions" (spatial distribution patterns show distinct "edge effects"). In the conservation and biodiversity literature, this phenomenon has been studied and reviewed intensively in the context of how landscape fragmentation affects species diversity. However, possible explanations of, and also implications of, edge-biased distributions of insects in agricultural systems have not received the same attention. Our review suggests that (1) mathematical modeling approaches can partially explain edge-biased distributions and (2) abiotic factors, crop vegetation traits, and environmental parameters are factors that are likely responsible for this phenomenon. However, we argue that more research, especially experimental research, is needed to increase the current understanding of how and why edge-biased distributions of insects are so widespread. We argue that the fact that many insect pests show edge-biased distribution patterns may be used to optimize both pest monitoring practices and precision targeting of pesticide applications and releases of natural enemies.

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