DOI: 10.1016/j.ecolind.2020.106108
论文题名: Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation
作者: Ren H. ; Shang Y. ; Zhang S.
刊名: Ecological Indicators
ISSN: 1470160X
出版年: 2020
卷: 112 语种: 英语
英文关键词: Inner Mongolia
; Net primary productivity
; Remote sensing
; Spatial autocorrelation
Scopus关键词: Autocorrelation
; Photosynthesis
; Phytoplankton
; Remote sensing
; Vegetation
; Hydrothermal conditions
; Inner Mongolia
; Integrated ecosystem managements
; Net primary productivity
; Polarized distributions
; Spatial autocorrelations
; Spatio-temporal variation
; Vegetation productivity
; Ecosystems
; autocorrelation
; ecosystem function
; ecosystem management
; hydrothermal activity
; net primary production
; remote sensing
; spatiotemporal analysis
; vegetation dynamics
; Nei Monggol
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 Gi*, 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. © 2020 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158336
Appears in Collections: 气候变化与战略
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作者单位: Department of Geomatics, Taiyuan University of Technology, Taiyuan, 030024, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
Recommended Citation:
Ren H.,Shang Y.,Zhang S.. Measuring the spatiotemporal variations of vegetation net primary productivity in Inner Mongolia using spatial autocorrelation[J]. Ecological Indicators,2020-01-01,112