A dataset of meta-analyses on crop diversification at the global scale - INRA - Institut national de la recherche agronomique
Article Dans Une Revue (Data Paper) Data in Brief Année : 2019

A dataset of meta-analyses on crop diversification at the global scale

Résumé

Numerous meta-analyses have been conducted in the last three decades to assess the productive and environmental benefits resulting from a diversification of cropping systems. These meta-analyses assessed one or several diversification strategies (e.g., rotations, cover crops, agroforestry) according to various outcomes (e.g., productivity, profitability, biodiversity). To date, no dataset has provided a comprehensive synthesis of existing experimental data on crop diversification. We present here a dataset containing 2382 effect sizes published in 99 meta-analyses covering 3736 experimental studies worldwide (https://figshare.com/s/ c15a93e96c95f89ddd89). We also provide an extensive appraisal of the quality of each meta-analysis and a quantification of the redundancy of primary studies between meta-analyses. Our database hence provides (i) a quantification of the impacts of a variety of diversification strategies on crop production, the environment and economic profitability at the global scale and, (ii) a quality and redundancy assessment that may be used as a reference for future studies.
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Dates et versions

hal-02866614 , version 1 (21-10-2024)

Identifiants

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Damien Beillouin, Tamara Ben-Ari, David Makowski. A dataset of meta-analyses on crop diversification at the global scale. Data in Brief, 2019, 24 (4), pp.103898. ⟨10.1016/j.dib.2019.103898⟩. ⟨hal-02866614⟩
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