Research on the Potential of Forestry’s Carbon-Neutral Contribution in China from 2021 to 2060
Zheng Chen,
Buddhi Dayananda,
Brendan Fu,
Ziwen Li,
Ziyu Jia,
Yue Hu,
Jiaxi Cao,
Ying Liu,
Lumeng Xie,
Ye Chen and
Shuhong Wu
Additional contact information
Zheng Chen: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Buddhi Dayananda: School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
Brendan Fu: School of Agriculture and Food Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
Ziwen Li: Industrial Development Planning Institute, National Forestry and Grassland Administration, Beijing 100013, China
Ziyu Jia: China Architecture Design and Research Group, China National Engineering Research Center for Human Settlement, Beijing 100120, China
Yue Hu: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Jiaxi Cao: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Ying Liu: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Lumeng Xie: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Ye Chen: Asia Pacific School of Business Administration, Jilin University of Finance and Economics, Changchun 130117, China
Shuhong Wu: School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China
Sustainability, 2022, vol. 14, issue 9, 1-20
Abstract:
Forest ecosystems play a crucial role in mitigating climate change. To assess and quantify the specific emissions reduction benefits of forest carbon sequestration, this study used a combination of backpropagation neural networks, biomass conversion factor method, and logistic models to predict the carbon-neutral contribution from existing forests, planned afforestation, and forest tending activities in China from 2021 to 2060. The results showed that (1) the emissions reduction contribution of forestry pathways in China was 7.91% (8588.61 MtCO 2 ) at the carbon peak stage and 8.71% (24,932.73 MtCO 2 ) at the carbon-neutral stage; (2) the southwest was the main contributing region, while the east and north lagged; (3) afforestation activities made the largest emission reduction contribution during the forecast period, while the contribution of existing forests continued to decline; and (4) carbon sequestration contribution by different forest origins was comparable during the carbon peak, while the contribution of plantation forests was expected to surpass that of natural forests during the carbon-neutral period. In order to maximize the benefits of the carbon-neutral pathway of forestry, it is necessary to enhance the policy frameworks related to forestry activities, forestry financial investment systems, and sustainable forest management systems to maximize the potential of this sector. Furthermore, more focus should be placed on reduction sectors to ensure the timely achievement of carbon goals and boost sustainable development in the context of climate change.
Keywords: carbon neutrality; forest carbon sequestration; carbon emission reduction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/9/5444/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/9/5444/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:9:p:5444-:d:807008
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().