Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2014 > Vol11 No.4

	Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China
	WEI Ya-xing ; WANG Li-wen
刊名	Journal of Mountain Science
	2014-07
卷号	11 期号:4 页码:967-978
关键词	Net primary productivity Remote sensing Light use efficiency model Contextural approach Support Vector Machine
通讯作者	WEI Ya-xing
英文摘要	Primary productivity of ecosystem is important indicator about ecological assessment. Remote sensing technology has been used to monitor net primary productivity (NPP) of ecological system for several years. In this paper; the remotely sensed NPP simulation model of alpine vegetation in Qinghai Province of Tibet Plateau was set up based on the theory of light use efficiency. Firstly a new approach based on mixed pixels and Support Vector Machine (SVM) algorithm were used to correct simulated NPP values derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Finally; spatial distribution and monthly variation characteristics of NPP in Qinghai Province in 2006 were analyzed in detail. The result showed that NPP of vegetation in Qinghai Province in 2006 ranged from 0 to 422 gC/m2/a and the average NPP was 151 gC/m2/a. NPP gradually increased from northwest to southeast. NPP of different vegetation types were obviously different. The average NPP of broad-leaved forest was the largest (314 gC/m2/a); and sparse shrub was the smallest (101 gC/m2/a). NPP in Qinghai Province significantly changed with seasonal variation. The accumulation of NPP was primarily in the period (from April to September) with better moist and heat conditions. In July; the average NPP of vegetation reached the maximum value (43 gC/m2). In our model; the advantage of traditional LUE models was adopted; and our study fully considered typical characteristics of alpine vegetation light use efficiency and environmental factors in the study area. Alpine vegetation is the most important ecological resource of Tibet Plateau; exactly monitoring its NPP value by remote sensing is an effective protection measure.
收录类别	SCI
公开日期	2014-07-08
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/7000]
专题	成都山地灾害与环境研究所_Journal of Mountain Science _Journal of Mountain Science-2014_Vol11 No.4
推荐引用方式 GB/T 7714	WEI Ya-xing,WANG Li-wen. Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China[J]. Journal of Mountain Science,2014,11(4):967-978.
APA	WEI Ya-xing,&WANG Li-wen.(2014).Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China.Journal of Mountain Science,11(4),967-978.
MLA	WEI Ya-xing,et al."Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China".Journal of Mountain Science 11.4(2014):967-978.