干旱区生态环境知识资源中心(Arid): Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China

Arid

DOI	10.1016/j.rama.2020.02.003
	Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China
	Qiao, YuXin; Zhu, HuaZhong; Li, Yuzhe; Shao, Xiaomin; Zhong, HuaPing; Shi, Hua; Wu, ZhaoWen
通讯作者	Zhong, HP
来源期刊	RANGELAND ECOLOGY & MANAGEMENT
ISSN	1550-7424
EISSN	1551-5028
出版年	2020
卷号	73 期号:4 页码:560-568
英文摘要	Mapping large-scale spatial patterns of grassland community properties in the Inner Mongolia Autonomous Region of China and learning how they are affected by environmental factors are vital to understand grassland changes in response to climate change and human activity. We collected data on six grassland community properties across 198 sample plots in the Inner Mongolia Autonomous Region: height, coverage, aboveground biomass (AGB), belowground biomass (BGB), soil bulk density (SBD), and species number (SN). We then analyzed the relationship between these and a range of environmental factors, including elevation, mean annual temperature (MAT), mean annual precipitation (MAP), >= 10 C annual accumulated temperature, humidity index, and normalized difference vegetation index (NDVI), using correlation and regression analysis. On the basis of the regression equation, we undertook a multifactor model using ArcGIS, in which different weights were assigned to each factor according to the degree of fitness between the estimated results and measured data. We then mapped the spatial distribution of grassland community properties in Inner Mongolia. We found a significant correlation between all of the grassland community properties and environmental factors measured (P < 0.01). In terms of spatial patterns, SN, height, coverage, AGB, and BGB were positively correlated with the transition from desert grassland to meadow grassland. The community properties model provided good results, with average accuracies of 53.05-90.21% and R-2 values of 0.40-0.68 (P < 0.01) across the six grassland community properties. The multifactor comprehensive model provides significant correlation between the predicted results and measured data. Therefore, this could be used as a basis for future studies on Inner Mongolia grasslands and to understand temporal and spatial changes of grassland in response to human activity and climate change. (C) 2020 The Society for Range Management. Published by Elsevier Inc. All rights reserved.
英文关键词	grassland community properties multifactor comprehensive model regression analysis spatial interpolation spatial pattern
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000547491400012
WOS关键词	NET PRIMARY PRODUCTIVITY ; ABOVEGROUND BIOMASS ; CARBON STOCKS ; RESPONSES ; VEGETATION ; DIVERSITY
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院地理科学与资源研究所 ; 中国科学院植物研究所 ; United States Geological Survey
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325005
作者单位	[Qiao, YuXin; Zhu, HuaZhong; Wu, ZhaoWen] Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Li, Yuzhe; Zhong, HuaPing] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Qiao, YuXin; Shao, Xiaomin] Tibet Agr & Anim Husb Coll, Tibet 850400, Peoples R China; [Zhu, HuaZhong] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China; [Shi, Hua] US Geol Survey, InuTeq, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA; [Wu, ZhaoWen] Chinese Acad Sci, State Key Lab Systemat & Evolutionary Bot, Inst Bot, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Qiao, YuXin,Zhu, HuaZhong,Li, Yuzhe,et al. Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China[J]. 中国科学院地理科学与资源研究所, 中国科学院植物研究所, United States Geological Survey,2020,73(4):560-568.
APA	Qiao, YuXin.,Zhu, HuaZhong.,Li, Yuzhe.,Shao, Xiaomin.,Zhong, HuaPing.,...&Wu, ZhaoWen.(2020).Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China.RANGELAND ECOLOGY & MANAGEMENT,73(4),560-568.
MLA	Qiao, YuXin,et al."Large-Scale Spatial Patterns of Grassland Community Properties in the Inner Mongolia Autonomous Region, China".RANGELAND ECOLOGY & MANAGEMENT 73.4(2020):560-568.