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

E Takola, J Bonfanti, R Seppelt, M Beckmann - Data in Brief, 2023 - Elsevier
Data in Brief, 2023Elsevier
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 …
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.
Elsevier
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