Fusheng Jiao

Mr. Fusheng Jiao

Nanjing Normal University, Nanjing, Jiangsu, China
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 October 2023 in Land
Verified
Journal Article
Open access
PDF file
XXXiaojuan Xu
Xiaojuan Xu
FJFusheng Jiao
Fusheng Jiao
DLDayi Lin
Dayi Lin
JLJing Liu
Jing Liu
KZKun Zhang
Kun Zhang
CZChangxin Zou
Changxin Zou
Southwest China (SWC) holds the distinction of being the world’s largest rock desertification area. Nevertheless, the impacts of climate change and ecological restoration projects on the carbon sinks in the karst area of Southwest China have not been systematically evaluated. In this study, we calculated carbon sinks by utilizing the Carnegie–Ames–Stanford Approach (CASA) model, and the actual measurements, including the net primary productivity (NPP) data and soil respiration (Rs,) were calculated to obtain carbon sink data. Our findings suggest that the carbon sinks in the karst areas are displaying increasing trends or positive reversals, accounting for 58.47% of the area, which is larger than the overall average of 45.08% for Southwest China. This suggests that the karst areas have a greater carbon sequestration potential. However, approximately 10.42% of carbon sinks experience negative reversals. The regions with increasing and positive reversals are primarily located in the western parts of Guizhou and Guangxi, while negative reversals are observed in the eastern parts of Chongqing, Guangxi, and Guizhou. Ecological restoration projects are the main driving factors for the carbon sinks with increasing trends. Increased humidity and ecological restoration management are the main reasons for the positive reversals of carbon sinks. However, warming and drought shift the carbon sinks from increasing to decreasing in Chongqing, east of Guangxi and Guizhou. The findings of this study highlight the significant role of ecological restoration projects and reexamine the impact of climate change on carbon sequestration.

18 November 2023 in Ecological Indicators
Verified
Journal Article
Open access
XXXiaojuan Xu
Xiaojuan Xu
FJFusheng Jiao
Fusheng Jiao
HGHaibo Gong
Haibo Gong
PXPeng Xue
Peng Xue
NLNaifeng Lin
Naifeng Lin
CZChangxin Zou
Changxin Zou

13 November 2023 in Journal of Geophysical Research: Biogeosciences
Verified
Journal Article
Closed access
YKY. Kong
Y. Kong
Mingyang ZhangMingyang Zhang
Mingyang Zhang
HGH. Gong
H. Gong
FJFusheng Jiao
Fusheng Jiao
PXP. Xue
P. Xue
Huiyu LiuHuiyu Liu
Huiyu Liu

9 April 2024 in Land Degradation & Development
Verified
Journal Article
Closed access
XXXiaojuan Xu
Xiaojuan Xu
JLJing Liu
Jing Liu
JQJie Qiu
Jie Qiu
KZKun Zhang
Kun Zhang
FJFusheng Jiao
Fusheng Jiao
CZChangxin Zou
Changxin Zou

11 January 2025 in Journal of Environmental Management
Verified
Journal Article
Closed access
FJFusheng Jiao
Fusheng Jiao
XXXiaojuan Xu
Xiaojuan Xu
PXPeng Xue
Peng Xue
HGHaibo Gong
Haibo Gong
XLXiang Liu
Xiang Liu
CZChangxin Zou
Changxin Zou

14 August 2022 in Remote Sensing
Verified
Journal Article
Open access
PDF file
GHGong haibo
Gong haibo
LCLi Cao
Li Cao
FJFusheng Jiao
Fusheng Jiao
Huiyu LiuHuiyu Liu
Huiyu Liu
Mingyang ZhangMingyang Zhang
Mingyang Zhang
NLNaifeng Lin
Naifeng Lin
The rate of vegetation green-up (RVG) indicates the ability of vegetation to respond to changes in climatic conditions. Understanding long-term RVG trends can clarify the changes in how quickly the vegetation grows from dormancy to maturity with time. However, how RVG trends respond to environmental variables and variable interactions remains unknown. We examined the long-term RVG trends (1981–2018) over the northern extratropics and determined the influence of environment variables and interactions between variables on the RVG trends based on the Global Land Surface Satellite leaf area index and a multivariable regression considering interactions between variables (MRCI). Our results showed a persistent increase in RVG at 0.020% (8-day)−1 year−1 over the entire region. Except for shrublands (−0.032% (8-day)−1 year−1), RVG trends increased significantly, particularly in woody savannas (0.095% (8-day)−1 year−1) and mixed forests (0.076% (8-day)−1 year−1). The relative importance of interactive effects (RIIAE) to the RVG trends is roughly 30%. Rising CO2, enhanced vapor pressure deficit (VPD), and warming are the primary factors affecting the RVG trends, both at the pixel and the biome scales. The accelerated RVG is triggered by both rising CO2 and warming but is partially offset by increased VPD. Our findings shed light on the relative contribution of variable interactions and assessed the relationship between environmental factors and RVG trends across different biomes, hence strengthening our knowledge of vegetation spring green-up in response to global change.