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New horizons for comparative studies and meta-analyses
Journal article   Peer reviewed

New horizons for comparative studies and meta-analyses

Patrice Pottier, Daniel W. A. Noble, Frank Seebacher, Nicholas Wu, Samantha Burke, Malgorzata Lagisz, Lisa Schwanz, Szymon M Drobniak and Shinichi Nakagawa
Trends in Ecology & Evolution, Vol.39(5), pp.435-445
2024
PMID: 38216408

Abstract

multilevel modelling multivariate analysis phylogenetic generalized linear mixed model phylogenetic signal sampling variance
Comparative analyses and meta-analyses are key tools to elucidate broad biological principles, yet the two approaches often appear different in purpose. We propose an integrated approach that can generate deeper insights into ecoevolutionary processes. Marrying comparative and meta-analytic approaches will allow for (i) a more accurate investigation of drivers of biological variation, (ii) a greater ability to account for sources of non-independence in experimental data, (iii) more effective control of publication bias, and (iv) improved transparency and reproducibility. Stronger integration of meta-analytic and comparative studies can also broaden the scope from species-centric investigations to community-level responses and function-valued traits (e.g., reaction norms). We illuminate commonalities, differences, and the transformative potential of combining these methodologies for advancing ecology and evolutionary biology.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.155 Medical Ethics
1.155.611 Evidence Based Medicine
Web Of Science research areas
Ecology
Evolutionary Biology
Genetics & Heredity
ESI research areas
Environment/Ecology
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