干旱区生态环境知识资源中心(Arid): A new net primary productivity model and new management strategy of grassland classification based on CSCS in China

Arid

DOI	10.1071/RJ20073
	A new net primary productivity model and new management strategy of grassland classification based on CSCS in China
	Lin, Huilong; Ma, Haili; Nyandwi, Charles; Feng, Qisheng; Liang, Tiangang
通讯作者	Lin, HL (corresponding author), Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Key Lab Grassland Livestock Ind Innovat,Minist Ag, Lanzhou 730020, Peoples R China.
来源期刊	RANGELAND JOURNAL
ISSN	1036-9872
EISSN	1834-7541
出版年	2021-04
英文摘要	The discovery of grassland field, form and biomass in China was central to the sustainable development of grassland. In this study, the realistic spatial distribution patterns of grasslands were clarified through the combination of the International Geosphere-Biosphere Program (IGBP) and the Comprehensive and Sequential Classification System (CSCS). An optimal net primary productivity (NPP) model suitable for Chinese grasslands was introduced by integrating the classification indices-based model (CIM) with the Normalised Difference Vegetation Index (NDVI), and comparing it with the standard classical model (Miami, Schuur, CIM, CASA model). Using the optimal model as the algorithm basis, the net primary production spatial pattern of grassland in China was determined. The results showed that: (1) the total area of grassland was similar to 374.3 x 104 km(2) in 2018, mainly distributed in north-western China. Among the grassland super-class groups, Tundra and alpine steppe were largest, and Warm desert smallest; (2) the optimal modified CIM had the highest prediction efficiency, and the overall accuracy was higher than the standard classical model (Miami, Schuur, CIM, CASA model). It achieved the accurate calculation of grassland NPP in China; (3) different grassland super-class groups had different carbon fixation efficiency per unit area, resulting in huge differences in total NPP. Among the various grassland super-class groups, the temperate humid grassland, steppe, tundra and alpine steppe had high conversion efficiency per unit area of NPP, whereas that for warm desert and the savanna was low. The total NPP was 388.04 x 10(12) g C/year in the study area in 2018. The results provide a basis for the rational arrangement of grassland ecological and productive functions, and are significant for developing a new strategy of grassland classification management in China.
英文关键词	biomass spatial pattern China realistic spatial distribution patterns of grasslands grassland ecological function grassland productive function NPP simulation rational management
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000640798300001
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352444
作者单位	[Lin, Huilong; Ma, Haili; Nyandwi, Charles; Feng, Qisheng; Liang, Tiangang] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Grassland Agroecosyst, Key Lab Grassland Livestock Ind Innovat,Minist Ag, Lanzhou 730020, Peoples R China
推荐引用方式 GB/T 7714	Lin, Huilong,Ma, Haili,Nyandwi, Charles,et al. A new net primary productivity model and new management strategy of grassland classification based on CSCS in China[J]. 兰州大学,2021.
APA	Lin, Huilong,Ma, Haili,Nyandwi, Charles,Feng, Qisheng,&Liang, Tiangang.(2021).A new net primary productivity model and new management strategy of grassland classification based on CSCS in China.RANGELAND JOURNAL.
MLA	Lin, Huilong,et al."A new net primary productivity model and new management strategy of grassland classification based on CSCS in China".RANGELAND JOURNAL (2021).