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An open-access global database of meta-analyses investigating yield and biodiversity responses to different management practices.
Takola, Elina; Bonfanti, Jonathan; Seppelt, Ralf; Beckmann, Michael.
Afiliação
  • Takola E; Department of Computational Landscape Ecology, UFZ-Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany.
  • Bonfanti J; Eco&Sols, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.
  • Seppelt R; Department of Computational Landscape Ecology, UFZ-Helmholtz Centre for Environmental Research, Permoserstrasse 15, Leipzig, 04318, Germany.
  • Beckmann M; Institute of Geoscience & Geography, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Data Brief ; 51: 109696, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37965610
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article