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Identification of Socio-Economic Impacts as the Main Drivers of Carbon Stocks in China’s Tropical Rainforests

Implications for Redd

Bibliographic Data

ID15470519
AuthorsGuifang Liu (0000-0002-0000-3039, Henan University), Jie Li (0000-0002-5131-4769, Henan University), Liang Ren (0000-0001-5584-9579, Henan University), Heli Lu (0000-0001-8946-5899, Henan University, corresponding author), Jingcao Wang (Henan University), Yaxing Zhang (0000-0002-6940-931X, Henan University), Cheng Zhang (0009-0002-0231-8971, University of Connecticut), Chuanrong Zhang (0000-0002-9165-5584, University of Connecticut)
Year2022
Volume19
Issue22
Pages14891-14891
Publication date2022-11-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph192214891
PMID36429609
OpenAlexW4308972500
LanguageEN
References cited65

Active incentives or compensation measures plus conservation, sustainable management of forests, and enhancement of forest carbon stocks (denoted together as "REDD+") should be adopted in developing countries to reduce the greenhouse gas emissions caused by deforestation and forest degradation. Identification and analysis of the driving forces behind carbon stocks are crucial for the implementation of REDD+. In this study, the principal component model and the stepwise linear regression model were used to analyze the social and economic driving forces of stocks in three important types of forest change: deforestation, forestland transformation, and forest degradation in China's tropical rainforests of Xishuangbanna, based on the combination of satellite imagery and the normalized difference vegetation index. The findings show that there are different key driving forces that lead to carbon stock changes in the forest land conversion of Xishuangbanna. In particular, the agricultural development level is the main cause of emissions from deforestation, whereas poor performance of protection policies is the main cause of emissions from forest degradation. In contrast, the rural economic development interventions are significantly positive for emissions from forestland transformation. It is crucial to pay attention to distinguishing the driving forces behind carbon stock changes from forest degradation, deforestation, and transformation for optimizing REDD+ implementation and ensuring the effectiveness of REDD

Agroforestry · Business · Carbon stock · China · Climate change · Deforestation (computer science · Economics · Geography · Greenhouse gas · Incentive · Natural resource economics · Rainforest · Stock (firearms · Conservation, Biodiversity, and Resource Management · Environmental Science · Forest Management and Policy · Land Use and Ecosystem Services · Ecology

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