干旱区生态环境知识资源中心(Arid): Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia's Typical/Desert Steppes

Arid

DOI	10.3390/su11236559
	Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia's Typical/Desert Steppes
	Wang, Xiumei 1,2,3; Dong, Jianjun 1,2; Baoyin, Taogetao 1,2; Bao, Yuhai 4
通讯作者	Baoyin, Taogetao
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2019
卷号	11 期号:23
英文摘要	Grassland biomass is an essential part of the regional carbon cycle. Rapid and accurate estimation of grassland biomass is a hot topic in research on grassland ecosystems. This study was based on field-measured biomass data and satellite remote sensing data from the Moderate resolution imaging spectroradiometer (MODIS). A generalized linear model (GLM) was used to analyze the aboveground biomass (AGB), dynamic changes, and relevance of climatic factors of the typical/desert steppe in Inner Mongolia during the growing seasons from May 2009 to October 2015. The results showed that: (1) The logarithmic function model with the ratio vegetation index (RVI) as the independent variable worked best for the typical steppe area in Inner Mongolia, while the power function model with the normalized differential vegetation index (NDVI) as the independent variable worked best for the desert steppe area. The R-2 values at a spatial resolution of 250 m were higher than those at a spatial resolution 500 m. (2) From 2009 to 2015, the highest values of AGB in the typical steppe and desert steppe of Inner Mongolia both appeared in 2012, and were 41.9 Tg and 7.0 Tg, respectively. The lowest values were 30.7 Tg and 5.8 Tg, respectively, in 2009. (3) The overall spatial distribution of AGB decreased from northeast to southwest. It also changed considerably over time. From May to August, AGB at the same longitude increased from south to north with seasonal variations; from August to October, it increased from north to south. (4) A variation partitioning analysis showed that in both the typical steppe and desert steppe, the combined effect of precipitation and temperature contributed the most to the aboveground biomass. The individual effect of temperature contributed more than precipitation in the typical steppe, while the individual effect of precipitation contributed more in the desert steppe. Thus, the hydrothermal dynamic hypothesis was used to explain this pattern. This study provides support for grassland husbandry management and carbon storage assessment in Inner Mongolia.
英文关键词	Inner Mongolia typical/desert steppes aboveground biomass MODIS product generalized linear model climate
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold, Green Published
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000508186400031
WOS关键词	NET PRIMARY PRODUCTIVITY ; WATER-ENERGY DYNAMICS ; GRASSLAND BIOMASS ; YIELD ESTIMATION ; CARBON-CYCLE ; MODIS ; CHINA ; SEQUESTRATION ; PRECIPITATION ; DIVERSITY
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311233
作者单位	1.Inner Mongolia Univ, Minist Educ, Key Lab Ecol & Resource Use Mongolian Plateau, Hohhot 010021, Peoples R China; 2.Inner Mongolia Univ, Inner Mongolia Key Lab Grassland Ecol, Hohhot 010021, Peoples R China; 3.Inner Mongolia Univ Technol, Sch Energy & Power Engn, Hohhot 010051, Peoples R China; 4.Inner Mongolia Normal Univ, Sch Geog Sci, Hohhot 010022, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiumei,Dong, Jianjun,Baoyin, Taogetao,et al. Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia's Typical/Desert Steppes[J],2019,11(23).
APA	Wang, Xiumei,Dong, Jianjun,Baoyin, Taogetao,&Bao, Yuhai.(2019).Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia's Typical/Desert Steppes.SUSTAINABILITY,11(23).
MLA	Wang, Xiumei,et al."Estimation and Climate Factor Contribution of Aboveground Biomass in Inner Mongolia's Typical/Desert Steppes".SUSTAINABILITY 11.23(2019).