Back to Search Start Over

Which management measures lead to better performance of China's protected areas in reducing forest loss?

Authors :
Feng, Chunting
Cao, Ming
Wang, Wei
Wang, Hao
Liu, Fangzheng
Zhang, Libo
Du, Jinhong
Zhou, Yue
Huang, Wenjie
Li, Junsheng
Source :
Science of the Total Environment. Apr2021, Vol. 764, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Protected areas (PAs) are considered essential for biodiversity conservation, and concerns about the effectiveness of PAs in terms of reducing deforestation are growing. However, few studies have identified the management measures that best reduce deforestation within existing PAs. Here, we carried out 10-year (from 2007 to 2016) field surveys and obtained a database of 10 management measures of 227 PAs mainly protecting forest ecosystems in China. We examined the contributions of the above 10 management measures in relation to the effectiveness of 227 PAs in reducing deforestation. Our results indicated that 52.68% of PAs had positive effects related to reducing deforestation (E > 0, P < 0.05), while 16.52% of PAs had negative effects (E < 0 , P < 0.05). The most important management measures affecting the effectiveness of PAs in reducing deforestation were funding, infrastructure, and scientific research and monitoring. Thus, our study provides evidence indicating that improved funding and scientific research benefit the effectiveness of PAs. The findings have global implications for guiding PAs to take explicit measures to improve the outcomes of biodiversity conservation. Unlabelled Image • Ten-year field surveys for PAs were conducted to assess their management measures. • The effectiveness of PAs was assessed by PSM approach. • The contributions of 10 management measures to effectiveness of PAs were examined. • More than half of the PAs positively reduced deforestation. • Improved funding and scientific research benefit the effectiveness of PAs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00489697
Volume :
764
Database :
Academic Search Index
Journal :
Science of the Total Environment
Publication Type :
Academic Journal
Accession number :
148407932
Full Text :
https://doi.org/10.1016/j.scitotenv.2020.142895