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A Multithreat Meta-Analytic Database for Understanding Insect Biodiversity Change

Millard, Joseph; Skinner, Grace; Bladon, Andrew; Cooke, Rob; Outhwaite, Charlotte; Rodger, James; Isip, Justin; ... Purvis, Andy; + view all (2025) A Multithreat Meta-Analytic Database for Understanding Insect Biodiversity Change. Diversity and Distributions , 31 (5) , Article e70025. 10.1111/ddi.70025. Green open access

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Abstract

AIM: Widespread declines in insect biodiversity have been attributed to a diverse set of anthropogenic drivers, but the relative importance of these drivers remains unclear. A key reason for this uncertainty is that their effects depend on many factors, such as taxonomy, geography, sampling method and the biodiversity metric considered. To better understand the relative impact of different drivers on insect biodiversity, effect sizes need to be anchored to major sources of heterogeneity and collected reproducibly through a structured and consistent protocol. This standardised approach will allow a quantitative synthesis of relative threats to insects, enabling more robust predictions of changes in insect biodiversity. INNOVATION: Here we publish a global database of effect sizes that quantify the effect of 5 anthropogenic drivers on insect abundance, species richness, biomass and fecundity within the framework of the IUCN threat classification. While we only present results for a subset of major anthropogenic drivers and insect Orders, the database structure allows the addition of new studies for all major IUCN threats and insect Orders. Our current set of effect sizes was collated from 7 meta-analyses, including 6308 effect sizes from 317 studies, focusing on threats ranked highly in an initial expert elicitation process. Data collection followed an overall meta-protocol and a set of individual protocols tailored to each meta-analysis. Our database provides a framework for the first global meta-analytic overview of the response of insects to a range of major anthropogenic drivers. MAIN CONCLUSIONS: Structured collation of both experimental and quasi-experimental effect sizes, together with metadata that capture the main sources of heterogeneity, is needed to understand the effect of anthropogenic activity on insects. In turn, this understanding opens the way to predicting how we might expect insect biodiversity to have changed in the past and into the future.

Type: Article
Title: A Multithreat Meta-Analytic Database for Understanding Insect Biodiversity Change
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/ddi.70025
Publisher version: https://doi.org/10.1111/ddi.70025
Language: English
Additional information: © 2025 The Author(s). Diversity and Distributions published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Biodiversity change, Coleoptera, Diptera, Hemiptera, Hymenoptera, insect decline, IUCN threats, Lepidoptera, meta-analyses
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10207656
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