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A real‐world implementation of a nationwide long‐term monitoring program to assess the impact of agrochemicals and agricultural practices on biodiversity

机译:一个全国实施全国范围内长期监测计划以评估农用化学品和农业实践对生物多样性的影响

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摘要

Biodiversity has undergone a major decline throughout recent decades, particularly in farmland. Agricultural practices are recognized to be an important pressure on farmland biodiversity, and pesticides are suspected to be one of the main causes of this decline in biodiversity. As part of the national plan for reduction of pesticides use (Ecophyto), the French ministry of agriculture launched the 500 ENI (nonintended effects) monitoring program in 2012 in order to assess the unintended effects of agricultural practices, including pesticide use, on biodiversity represented by several taxonomic groups of interest for farmers. This long‐term program monitors the biodiversity of nontargeted species (earthworms, plants, coleoptera, and birds), together with a wide range of annual data on agricultural practices (crop rotation, soil tillage, weed control, fertilizers, chemical treatments, etc.). Other parameters (e.g., landscape and climatic characteristics) are also integrated as covariates during the analyses. This monitoring program is expected to improve our understanding of the relative contribution of the different drivers of population and community trends. Here, we present the experience of setting up the 500 ENI network for this ambitious and highly complex monitoring program, as well as the type of data it collects. The issue of data quality control and some first results are discussed. With the aim of being useful to readers who would like to set up similar monitoring schemes, we also address some questions that have arisen following the first five years of the implementation phase of the program.
机译:生物多样性在近几十年中经历了重大下降,特别是在农田。农业实践被认为是对农田生物多样性的一个重要压力,嫌疑人被怀疑是生物多样性这一下降的主要原因之一。作为国家减少农药的计划的一部分,法国农业部于2012年推出了500个eni(非理由)监测方案,以评估农业实践的意外影响,包括农药使用,代表生物多样性由几个农民的分类学群体。这种长期计划监测非靶名物种(蚯蚓,植物,鞘翅目和鸟类)的生物多样性,以及各种农业实践年度数据(作物旋转,土壤耕作,杂草控制,肥料,化学处理等。 )。其他参数(例如,景观和气候特性)也被纳入分析期间的协变量。该监测计划有望改善我们对不同人口和社区趋势的相对贡献的理解。在这里,我们展示了为该雄心勃勃和高度复杂的监控程序建立500个ENI网络的经验,以及它收集的数据类型。讨论了数据质量控制的问题和一些第一个结果。目的是对想要建立类似的监测计划的读者有用,我们还解决了在计划实施阶段的前五年后出现的一些问题。

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