干旱区生态环境知识资源中心(Arid): Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020

Arid

DOI	10.3390/land12061223
	Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020
	Chen, Zhaotong; Chen, Jiangping; Xu, Gang; Sha, Zongyao; Yin, Jianhua; Li, Zijian
通讯作者	Chen, JP
来源期刊	LAND
EISSN	2073-445X
出版年	2023
卷号	12 期号:6
英文摘要	The net primary productivity (NPP) of vegetation is an important indicator reflecting the vegetation dynamics and carbon sequestration capacity in a region. In recent years, China has implemented policies to carry out ecological protection. To understand the changes in the distribution of vegetation NPP in China and the influence of climate factors, the Carnegie-Ames-Stanford approach (CASA) model was used to estimate the NPP from 2001 to 2020. In this paper, several sets of measurement datasets and products were collected to evaluate the effectiveness of the model and suggestions were provided for the modification of the CASA model based on the evaluation results. In addition to the correlation analysis, this paper presents a statistical method for analyzing the quantitative effects in individual climatic factors on NPP changes in large regions. The comparison found that the model has a better estimation effect on grassland and needleleaf forest. The estimation error for the evergreen needleleaf forest (ENF) and deciduous broadleaf forest (DBF) decreases with the warming of the climatic zone, while the evergreen broadleaf forest (EBF) and deciduous needleleaf forest (DNF) do the opposite. The changes in total CASA NPP were consistent with the trends of other products, showing a dynamic increasing trend. In terms of the degree of correlation between the NPP changes and climatic factors, the NPP changes were significantly correlated with temperature in about 10.39% of the vegetation cover area and with precipitation in about 26.92% of the vegetation cover area. It was found that the NPP variation had a negative response to the temperature variation in Inner Mongolia grasslands, while it had a positive but small effect (& PLUSMN;10 g C) in the Qinghai-Tibet Plateau grasslands. Precipitation had a facilitative effect on the grassland NPP variation, while an increase in the annual precipitation of more than 200 mm had an inhibitory effect in arid and semi-arid regions. This study can provide data and methodological reference for the ecological assessment of large-scale regional and climate anomalous environments.
英文关键词	NPP terrestrial vegetation CASA model spatiotemporal characteristics climate change remote sensing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SSCI
WOS记录号	WOS:001017290300001
WOS关键词	LIGHT-USE EFFICIENCY ; DRIVING FORCES ; CARBON SINKS ; CASA MODEL ; GRASSLAND ; SATELLITE ; RADIATION ; DYNAMICS ; TRENDS ; REGION
WOS类目	Environmental Studies
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397662
推荐引用方式 GB/T 7714	Chen, Zhaotong,Chen, Jiangping,Xu, Gang,et al. Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020[J],2023,12(6).
APA	Chen, Zhaotong,Chen, Jiangping,Xu, Gang,Sha, Zongyao,Yin, Jianhua,&Li, Zijian.(2023).Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020.LAND,12(6).
MLA	Chen, Zhaotong,et al."Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020".LAND 12.6(2023).