Meta‐analysis of variation: ecological and evolutionary applications and beyond

By Shinichi Nakagawa, Robert Poulin, Kerrie L. Mengersen, Klaus Reinhold, Leif Engqvist, M. Lagisz, Alistair M. Senior. 2015

264 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b6a6b4e6ed035f11e0cc3f13051aaf45b574888a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. David Makowski

In Ecology, Evolution, Behavior and Systematics

1. David Makowski

In Nature and Landscape Conservation

1. David Makowski

Citations in the corpus

• Meta-analysis and the science of research synthesis (2018, unknown): “…data structures, different kind of research questions, and different ways practitioners interpret data necessitated development of different approaches, including implementation of different metrics of effect size, including response ratios 47 and metrics based on measures of variance 48 .”
• Lower average yields but similar yield variability in organic versus conventional horticulture. A meta-analysis (2017, background): “Organic and conventional systems cover a diversity of farming systems and a large range of agricultural practices (Sylvander et al. 2006; Darnhofer 2014; Navarrete et al. 2015; Petit and Aubry 2015).”