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一个开放获取的全球荟萃分析数据库,该数据库研究不同管理措施对产量和生物多样性的影响。

An open-access global database of meta-analyses investigating yield and biodiversity responses to different management practices.

作者信息

Takola Elina, Bonfanti Jonathan, Seppelt Ralf, Beckmann Michael

机构信息

Department of Computational Landscape Ecology, UFZ-Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany.

Eco&Sols, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.

出版信息

Data Brief. 2023 Oct 22;51:109696. doi: 10.1016/j.dib.2023.109696. eCollection 2023 Dec.

Abstract

We here present a database of evidence on the impact of agricultural management practices on biodiversity and yield. This database is the result of a systematic literature review, that aimed to identify meta-analyses that use as their response variables any measure of biodiversity and yield. After screening more than 1,086 titles and abstracts, we identified 33 relevant meta-analyses, from which we extracted the overall estimates, the subgroup estimates as well as all information related to them (effect size metric, taxonomic group, crop type etc.). We also extracted information relative to the empirical studies used for each meta-analysis and recorded the countries in which they took place and assessed the quality of each meta-analysis. Our dataset is publicly accessible and can be used for conducting second-order meta-analyses on the effect of management measures on species richness, taxon abundance, biomass and yields. It can also be used to create evidence maps on agriculture-related questions.

摘要

我们在此展示了一个关于农业管理实践对生物多样性和产量影响的证据数据库。该数据库是系统文献综述的成果,旨在识别以生物多样性和产量的任何衡量指标作为响应变量的荟萃分析。在筛选了1086多篇标题和摘要后,我们确定了33项相关的荟萃分析,从中提取了总体估计值、亚组估计值以及与之相关的所有信息(效应量指标、分类群、作物类型等)。我们还提取了与每项荟萃分析所使用的实证研究相关的信息,记录了这些研究开展的国家,并评估了每项荟萃分析的质量。我们的数据集可公开获取,可用于对管理措施对物种丰富度、分类群丰度、生物量和产量的影响进行二阶荟萃分析。它还可用于创建与农业相关问题的证据地图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a10e/10641118/5f4ddb29514a/gr1.jpg

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