A dataset of meta-analyses on crop diversification at the global scale
Beillouin, Damien | Ben-Ari, Tamara | Makowski, David | Agronomie (Agronomie) ; Institut National de la Recherche Agronomique (INRA)-Institut National Agronomique Paris-Grignon (INA P-G) | centre international de recherche sur l'environnement et le développement (CIRED) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École des hautes études en sciences sociales (EHESS)-AgroParisTech-École nationale des ponts et chaussées (ENPC)-Centre National de la Recherche Scientifique (CNRS) | European Commission Joint Research Centre727482STIMUL (Scenarios towards integrating multiscale land use tools) flagship project as part of the "Investments d'Avenir" Programme (LabEx BASC) ANR-11-LABX-0034CLAND institute of convergence 16-CONV-0003 | ANR-16-CONV-0003,CLAND,CLAND : Changement climatique et usage des terres(2016)
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Показать больше [+] Меньше [-]Английский. 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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