中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation

文献类型:期刊论文

作者Ren, Hongrui2; Shang, Yingjie2; Zhang, Shuai1
刊名ECOLOGICAL INDICATORS
出版日期2020-05-01
卷号112页码:7
关键词Net primary productivity Inner Mongolia Remote sensing Spatial autocorrelation
ISSN号1470-160X
DOI10.1016/j.ecolind.2020.106108
通讯作者Ren, Hongrui(renhongrui@tyut.edu.cn) ; Zhang, Shuai(zhangshuai@lreis.ac.cn)
英文摘要Monitoring variations in vegetation net primary productivity (NPP) contributes greatly to the evaluation of terrestrial ecosystem structure and function. Current research has focused on the trend changes of vegetation productivity but has largely ignored spatial correlation. This study selected MOD17A3 NPP data in Inner Mongolia to explore the spatiotemporal variations of NPP using spatial autocorrelation indices (Global Moran's I, Getis-Ord General G, Getis-Ord G(i)*, and Anselin Local Moran's I). This is helpful to examine whether NPP in Inner Mongolia has exhibited significant spatial cluster based on temporal variations and spatial patterns. NPP in Inner Mongolia has shown significant spatial cluster in high-value areas from 2000 to 2014 and demonstrated a polarized distribution. Although the east part of the study area generally showed a high NPP pattern, the northeast turned to low NPP pattern in 2001, 2004, 2007, and 2010 and the southeast turned to low NPP pattern in 2009 and 2013. The former variations were primarily affected by precipitation, while the latter variations were affected by both hydrothermal conditions and human activities. These results are useful to analyze spatial correlations and local abnormalities of NPP and provide references for integrated ecosystem management in Inner Mongolia.
WOS关键词ASSOCIATION ; CHINA ; NPP
资助项目National Key R&D Program of China[2016YFD0300201] ; National Science Foundation of China[41801078]
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000518385800064
出版者ELSEVIER
资助机构National Key R&D Program of China ; National Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/133019]  
专题中国科学院地理科学与资源研究所
通讯作者Ren, Hongrui; Zhang, Shuai
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Taiyuan Univ Technol, Dept Geomat, Taiyuan 030024, Peoples R China
推荐引用方式
GB/T 7714
Ren, Hongrui,Shang, Yingjie,Zhang, Shuai. Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation[J]. ECOLOGICAL INDICATORS,2020,112:7.
APA Ren, Hongrui,Shang, Yingjie,&Zhang, Shuai.(2020).Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation.ECOLOGICAL INDICATORS,112,7.
MLA Ren, Hongrui,et al."Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation".ECOLOGICAL INDICATORS 112(2020):7.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。