GIG OpenIR
Zhao, Chenyao1,2,3; Chen, Shuisen1,2,3,4; Jia, Kai2,4; Li, Dan2,4; Qin, Boxiong2,4; Sun, Yishan1,2,3; Zhang, Hao4
Quantitative Assessment of the Impacts of Climate Change and Human Activity on the Net Primary Productivity of Subtropical Vegetation: The Case of Shaoguan, Guangdong, China
Source PublicationFORESTS
2023-12-01
Volume14Issue:12Pages:18
DOI10.3390/f14122447
Language英语
WOS Research AreaForestry
AbstractVegetation net primary productivity (NPP) is critical to maintaining and enhancing the carbon sink of vegetation. Shaoguan is a characteristic forest city in the subtropical region of South China and an ecological barrier in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA), playing an instrumental role in protecting water resources, purifying air, and maintaining ecological balance. However, studies that quantify subtropical vegetation NPP dynamics in Shaoguan under the influence of climate and human drivers are still incomplete. In this research, vegetation NPP at 30 m resolution was estimated from 2001 to 2020 using the enhanced CASA model based on the GF-SG algorithm in Shaoguan. The RESTREND method was then utilized to quantify climatic and human effects on NPP. The results indicated that the vegetation NPP in Shaoguan increased rapidly (4.09 g C/m(2)/yr, p < 0.001) over the past 20 years. Climate and human drivers contributed 0.948 g C/m(2)/yr and 3.137 g C/m(2)/yr to vegetation NPP, respectively. Human activity plays a major role in vegetation restoration through ecological projects, whereas vegetation deterioration is primarily attributable to the combined action of climate change and human activity, such as urban expansion, deforestation, and meteorological disasters. The results emphasize the importance of ecological projects for the restoration of vegetated ecosystems and ecological construction in Shaoguan.
KeywordCASA model GF-SG NPP climate change human activity
WOS IDWOS:001132405600001
Indexed BySCI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.gig.ac.cn/handle/344008/76031
Collection中国科学院广州地球化学研究所
Corresponding AuthorChen, Shuisen
Affiliation1.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China
2.Guangdong Acad Sci, Guangzhou Inst Geograp, GuangDong Eng Tech Res Ctr Remote Sensing Big Data, Key Lab Guangdong Utilizat Remote Sensing & Geogra, Guangzhou 510070, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Shaoguan ShenBay Low Carbon Digital Technol Co Ltd, Guangdong Inst Carbon Neutral Shaoguan, Joint Lab Low Carbon Digital Monitoring, Shaoguan 512029, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Chenyao,Chen, Shuisen,Jia, Kai,et al. Quantitative Assessment of the Impacts of Climate Change and Human Activity on the Net Primary Productivity of Subtropical Vegetation: The Case of Shaoguan, Guangdong, China[J]. FORESTS,2023,14(12):18.
APA Zhao, Chenyao.,Chen, Shuisen.,Jia, Kai.,Li, Dan.,Qin, Boxiong.,...&Zhang, Hao.(2023).Quantitative Assessment of the Impacts of Climate Change and Human Activity on the Net Primary Productivity of Subtropical Vegetation: The Case of Shaoguan, Guangdong, China.FORESTS,14(12),18.
MLA Zhao, Chenyao,et al."Quantitative Assessment of the Impacts of Climate Change and Human Activity on the Net Primary Productivity of Subtropical Vegetation: The Case of Shaoguan, Guangdong, China".FORESTS 14.12(2023):18.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Chenyao]'s Articles
[Chen, Shuisen]'s Articles
[Jia, Kai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Chenyao]'s Articles
[Chen, Shuisen]'s Articles
[Jia, Kai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Chenyao]'s Articles
[Chen, Shuisen]'s Articles
[Jia, Kai]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.