Patrice Pottier , Daniel W.A. Noble, Frank Seebacher, Nicholas C. Wu , Malgorzata Lagisz , Lisa Schwanz, Szymon Marian Drobniak, Shinichi Nakagawa

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 eco-evolutionary processes. Marrying comparative and meta-analytic approaches will allow for 1) a more accurate investigation of drivers of biological variation; 2) a greater ability to account for sources of non-independence in experimental data; 3) more effective control of publication bias; and 4) 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.