4.5 Review

Improving quantitative synthesis to achieve generality in ecology

Journal

NATURE ECOLOGY & EVOLUTION
Volume 6, Issue 12, Pages 1818-1828

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41559-022-01891-z

Keywords

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Funding

  1. German Centre for Integrative Biodiversity Research -iDiv -Halle-Jena-Leipzig [06895]
  2. Marie Sklodowska-Curie Individual Fellowship [891052]
  3. Marie Curie Actions (MSCA) [891052] Funding Source: Marie Curie Actions (MSCA)

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Ecological syntheses are a dominant research approach in ecology, but the concept of generality is often undefined, leading to a lack of precision and scientific basis in interpreting research findings. Therefore, it is necessary to develop quantitative and qualitative criteria to ensure the generality and transferability of research results.
Ecological syntheses are often assumed to identify generalities in effects, but this concept is rarely defined. Here, the authors review current practice in ecological synthesis and propose pathways to achieving generality. Synthesis of primary ecological data is often assumed to achieve a notion of 'generality', through the quantification of overall effect sizes and consistency among studies, and has become a dominant research approach in ecology. Unfortunately, ecologists rarely define either the generality of their findings, their estimand (the target of estimation) or the population of interest. Given that generality is fundamental to science, and the urgent need for scientific understanding to curb global scale ecological breakdown, loose usage of the term 'generality' is problematic. In other disciplines, generality is defined as comprising both generalizability-extending an inference about an estimand from the sample to the population-and transferability-the validity of estimand predictions in a different sampling unit or population. We review current practice in ecological synthesis and demonstrate that, when researchers fail to define the assumptions underpinning generalizations and transfers of effect sizes, generality often misses its target. We provide guidance for communicating nuanced inferences and maximizing the impact of syntheses both within and beyond academia. We propose pathways to generality applicable to ecological syntheses, including the development of quantitative and qualitative criteria with which to license the transfer of estimands from both primary and synthetic studies.

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