Robin Séchaud, Markus Van der Meer, Yvonne Fabian, Philippe Jeanneret
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Although the high diversity of these ISGs allows a broad overview of the biodiversity, it complicates the interpretation of the results and thus their application. In addition, species diversity metrics are various, from simple species counts to more complex measurements of diversity indices, sometimes with antagonistic responses. Here, to meet the pressing need for synthesis in this complex topic, we will follow a standardized systematic map protocol to collect and summarize the literature reporting the effects of the main European lowland agricultural management practices (AMPs) on a set of ISGs.</p><p><strong>Methods: </strong>Following the systematic evidence synthesis standards, we developed the question to address in the systematic map using the PICO framework. 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引用次数: 0
摘要
背景:在过去几十年中,欧洲农业生产方式的强化极大地改变了农业生态系统。众所周知,景观的简化、半自然栖息地的丧失以及在作物上施用化学品导致了农业景观中生物多样性的减少,引起了人们对基本生态系统服务(如授粉或害虫控制)丧失的极大关注。根据地点、规模和区域背景的不同,通常会调查不同的指示物种群(ISGs),以评估农业生态系统中生物多样性变化的状况和趋势。虽然这些 ISGs 的高度多样性可使生物多样性得到广泛概述,但却使结果的解释及其应用变得复杂。此外,物种多样性的衡量标准也多种多样,从简单的物种计数到更复杂的多样性指数测量,有时还会出现拮抗反应。在此,为了满足对这一复杂主题进行综合的迫切需要,我们将遵循标准化的系统地图协议,收集并总结报告欧洲主要低地农业管理方法(AMPs)对一组 ISGs 影响的文献:按照系统证据综合标准,我们利用 PICO 框架制定了系统地图要解决的问题。我们通过组合人群(ISGs)、干预(AMPs)和结果(物种多样性)类别的检索词以及另外两组检索词(环境--侧重于低地作物和草地;地点--将研究区域限制在欧洲),建立了初步的检索字符串。我们将利用 Web of Science 和 CABI 平台、谷歌学术、专业网站并通过我们的专业合作网络,对相关的同行评审文献和灰色文献进行全面的文献检索。我们将把收集到的文献与一份包含 90 篇相关文章的测试清单进行比较,以评估搜索的全面性。文献筛选过程的可重复性将通过纳入/排除标准清单和审稿人间一致性统计测试来确保。数据提取工作将在三个互补表格(文章参考文献、研究特点、物种多样性)中进行,我们将对这些表格进行查询,以生成构成系统地图的表格、图表和地图。
What evidence exists on the effect of the main European lowland crop and grassland management practices on biodiversity indicator species groups? A systematic map protocol.
Background: The intensification of the agricultural practices in Europe over the last decades has drastically transformed the agroecosystems. The simplification of the landscape, the loss of semi-natural habitats and the application of chemicals on crops are known to have led to biodiversity decline in agricultural landscapes, raising substantial concerns about the loss of essential ecosystem services, such as pollination or pest control. Depending on the location, the scale and the regional context, different indicator species groups (ISGs) are often surveyed to assess the state and trend of biodiversity changes in agroecosystems. Although the high diversity of these ISGs allows a broad overview of the biodiversity, it complicates the interpretation of the results and thus their application. In addition, species diversity metrics are various, from simple species counts to more complex measurements of diversity indices, sometimes with antagonistic responses. Here, to meet the pressing need for synthesis in this complex topic, we will follow a standardized systematic map protocol to collect and summarize the literature reporting the effects of the main European lowland agricultural management practices (AMPs) on a set of ISGs.
Methods: Following the systematic evidence synthesis standards, we developed the question to address in the systematic map using the PICO framework. We established a preliminary search string by combining search terms for the categories Population (ISGs), Intervention (AMPs) and Outcome (species diversity), as well as with two additional groups (Environment-to focus on lowland crop and grassland-and Location-to restrict the study area to Europe). We will conduct a comprehensive literature search of relevant peer-reviewed and grey literature using Web of Science and CABI platforms, Google Scholar, specialized websites and through our professional collaborator network. The comprehensiveness of the search will be assessed by comparing the literature collected to a test-list of ninety relevant articles. The repeatability of the literature screening process will be ensured by a list of inclusion/exclusion criteria and inter-reviewer consistency statistical tests. Data extraction will be organized in three complementary tables (article references, study characteristics, species diversity), on which we will perform queries to produce the tables, figures and maps that will compose the systematic map.