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Using landscape indicators to predict high pest infestations and successful natural pest control at the regional scale.

机译:使用景观指标预测区域范围内的有害生物高发和成功的自然有害生物防治。

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Designing multifunctional landscapes requires accurate indicators to assess the effect of landscape structure on the provision on ecosystem services. Biological pest control relying on natural enemies is an important ecosystem service considered as a sustainable alternative to chemical control. The aim of this study was to measure and compare the accuracy of landscape indicators computed at various spatial scales to predict pollen beetle infestations and successful biological control in northwestern France. The sensitivity, specificity, and probability of correctly ranking fields were estimated for each indicator based on a survey of 42 fields using the receiver operating characteristic procedure. For pest infestation, the proportion of woodland and the proportion of semi-natural habitats were found to be informative indicators with good discriminatory abilities. For biological control, the proportion of woodland, the proportion of semi-natural habitats and the proportion of the previous year's oilseed rape fields with reduced soil tillage were found to be informative indicators with good discriminatory abilities. By using indicator values and optimal thresholds we were able to compute maps of areas at risk for pest infestation and those displaying successful biological control at the regional scale. This study provides tools that could help extension services, landscape planners, and policy makers in optimizing landscape structure according to the provision of a key ecosystem service. The results of this study also provide new grounds for understanding trophic interactions at the regional scale as well as the ambivalent effect of landscape complexity on pest and natural enemy populations.
机译:设计多功能景观需要准确的指标来评估景观结构对生态系统服务的影响。依靠天敌的生物虫害控制是一种重要的生态系统服务,被认为是化学控制的可持续替代方法。这项研究的目的是测量和比较在不同空间尺度上计算的景观指标的准确性,以预测法国西北部花粉甲虫的侵染和成功的生物防治。使用接收器操作特征程序,根据对42个场的调查,为每个指标估计了场正确排序的敏感性,特异性和概率。对于害虫侵染,林地的比例和半自然生境的比例被认为是具有良好判别能力的信息指标。为了进行生物防治,林地比例,半自然生境比例和上一年土壤耕种减少的油菜田比例被认为是具有良好判别能力的信息指标。通过使用指标值和最佳阈值,我们能够计算出有有害生物侵染风险的区域和在区域规模上显示出成功生物防治作用的区域的地图。这项研究提供的工具可以根据关键生态系统服务的提供,帮助推广服务,景观规划师和政策制定者优化景观结构。这项研究的结果也为理解区域范围内的营养相互作用以及景观复杂性对害虫和天敌种群的矛盾影响提供了新的依据。

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