Background

In the fields of environmental governance and biodiversity conservation, there is a growing awareness that gender has an influence on resource use and management. Several studies argue that empowering women in resource governance can lead to beneficial outcomes for resource sustainability and biodiversity conservation. Yet how robust is the evidence to support this claim? Here we focus on the forestry and fisheries sectors to answer the primary question: What is the evidence that the gender composition of forest and fishery management groups affects resource governance and conservation outcomes? Our objective is to produce a systematic map of the evidence highlighting, inter alia, the geographic distribution and quality of the evidence, the consistency and robustness of the findings, and where further research is needed.

Methods/design

This protocol provides the details of the methodology. The search terms used to identify relevant articles were developed in an iterative process using the phraseology of the primary question, Boolean operators, and a list of synonyms for each term. The search terms will be used to identify relevant articles in CAB Abstracts, Scopus, AGRIS, AGRICOLA, Google Scholar, and Google. A test library of 12 articles will ensure that the search captures the relevant literature. Searches will be in English but will not be restricted by publication date. The websites of 22 international organisations with a known interest in gender-related issues will be screened for relevant documents. The gender-focussed researchers at large conservation NGOs, the members of the Poverty and Conservation Learning Group, and the members of the Gender and Environment Working Group will be invited to submit relevant documents. The list of references of included articles will be screened to identify other relevant articles in a ‘backwards snowballing’ approach. The inclusion criteria are that an article refers to women or gender, forests or fisheries, a resource management group, a quantitative comparison, and an environmental governance or biodiversity conservation outcome in a non-OECD country. A data extraction template with 27 variables will be used to assess the included articles. The output will be a narrative report with descriptive statistics and an evidence-gap map.