This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.biocon.2021.109192. This is version 3 of this Preprint.
This Preprint has no visible version.
Download PreprintThis is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.biocon.2021.109192. This is version 3 of this Preprint.
This Preprint has no visible version.
Download PreprintUnderstanding the factors that drive protected area outcomes is critical to increase the success of global conservation efforts. Until recently, our understanding of the influence of management effectiveness has been restricted by the limited availability of standardized management data and study design limitations of prior evaluations. Here we use a quasi-experimental matching approach to test the influence of management effectiveness on forest cover change inside 46 protected areas in Mexico. We test the influence of five management categories, including context and planning, administration and finance, use and benefits, governance and social participation, and management quality, as well as an overall effectiveness score, using a subgroup analysis and an interaction term in post-matching multiple linear regression. Our results show that protected areas with higher management effectiveness have a greater effect on reducing deforestation compared to those with low management effectiveness, but that both types of protected areas experience less forest loss compared to similar unprotected areas. We find this trend in all five of the management categories and the overall score, with administration and finance scores having the greatest effect on forest loss outcomes. Our findings suggest careful design and planning, effective participation from multiple stakeholders and equal sharing of benefits, and sufficient human and financial capital can improve the effectiveness of protected areas in preventing forest loss.
https://doi.org/10.32942/osf.io/d4mec
Geography, Social and Behavioral Sciences
Forest conservation, Impact evaluation, Management effectiveness, Mexico, Protected areas
Published: 2020-12-07 20:28
Last Updated: 2021-04-02 21:46
CC-By Attribution-ShareAlike 4.0 International
Data and Code Availability Statement:
Data available upon request.
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