DocumentCode :
2881630
Title :
Study of the Vegetation Eco-Compensation Standards on County Scale in Qinghai Lake Watershed
Author :
Chen Ke-long ; Ma Jin ; Han Yan-li ; Lu Bao-liang ; Cao Sheng-kui ; Zhu Jin-fu
Author_Institution :
Coll. of Biol. & Geogr. Sci., Qinghai Normal Univ., Xining, China
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Eco-compensation is one of the focus and hot topics for contemporary scientific research, in which the compensation standard takes the most important part. Based on the remote sensing data, meteorological data and field investigation data, with the simulation of terrestrial net primary productivity (NPP) from CASA model, we estimate and inverse the vegetation eco-compensation standards by means of market price method and energy substitutions, the results show that: eco-compensation standard for each vegetation type in the Qinghai Lake Watershed is respectively 5467yuan/ hm2 of mountain shrub, 5303yuan/ hm2 of arable land, 5028yuan/ hm2 of valley shrub, 4923yuan/ hm2 of alpine meadow, 4898yuan/ hm2 of lakeside marsh, 4525yuan/ hm2 of alpine marsh, 4507yuan/ hm2 of temperate grassland, 4058yuan/ hm2 of valley marsh, 2575yuan/ hm2 of sparse vegetation on alpine flowstone slope. The eco-compensation value on the County scale are respectively 47.61 ×108 yuan for Tianjun County, 29.18 × 108 yuan for Gangcha County, 5.63 × 108 yuan for Haiyan County, and 16.31 × 108 yuan for the Gonghe County, the total vegetation compensation value of the Qinghai Lake Watershed is 98.73 × 108 yuan.
Keywords :
lakes; vegetation; CASA model; Gonghe County; Haiyan County; NPP simulation; Qinghai lake watershed; alpine meadow; arable land; contemporary scientific research; county scale; energy substitutions; lakeside marsh; market price method; meteorological data; mountain shrub; remote sensing data; terrestrial net primary productivity; total vegetation compensation value; valley shrub; vegetation eco-compensation standards; Biological system modeling; Educational institutions; Lakes; Productivity; Standards; Vegetation; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260742
Filename :
6260742
Link To Document :
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