Abstract
The land covers of Huzhou City (119°14'–120°29'E, 30°22'–31°11'N) that includes five regionalisms of Anji County, Changxing County, Deqing County, Wuxing District and Nanxun District were classified into eight types by using Remote Sensing data, which were forest, grassland, shrub, paddy field, dry land, bare land, water and wetland. The indexes of ecosystem services of each type of land cover were divided six items, such as the producing organic matter, assimilating CO2, releasing O2, recycling nutrient matter, holding water, and conserving soil and water. The results showed that the value of ecosystem services for Huzhou City in 2001, 2002, and 2003 was 194.82×108 yuan, 207.68×108 yuan, 173.56×108 yuan, respectively. Anji County of five regionalisms had the best environment conditions among all the districts, which played the most important role in ameliorating the ecological environment for Huzhou City. Environment conditions of Deqing County were at the worst level. The GDP per capita and per unit area of each county (district) was in inverse proportion to the value of ecosystem services per capita and per unit area, which implied that the higher GDP was, the more severe contamination of environment was.
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References
Costanza, R., d'Arge, R., Groot, R.,et al. 1997. The value of the world's ecosystem services and natural capital [J]. Nature,387: 253–260.
Daily, G. 1997. What are ecosystem services [C]? In: Daily G. (ed.) Nature Services: Societal Dependence on Natural Ecosystems, Washington: Island Press, 23–26.
Harold, A.M., Paul, R.E. 1997. Ecosystem Service: A fragmentary history [C]. In: Daily G., ed. Nature Services: Societal Dependence on Natural Ecosystems. Washington: Island Press, 65–68.
Huang Xinwen, Chen Baiming. 1999. The theory and application about the regionalization of Chinese ecological assets [J]. Acta Ecologica Sinica,19(5): 602–606. (in Chinese)
Potschin, M.B., Haines-young, R.H. 2003. Improving the quality of environmental assessments using the concept of natural capital: a case study from southern Germany [J]. Landscape and Urban Planning,63: 93–108.
Ouyang Zhiyun, Wang Xiaoke, Miao Hong. 1999. A primary study on Chinese terrestrial ecosystem services and their ecological-economic values [J]. Acta Ecologica Sinica,19(5): 607–613. (in Chinese)
Pan Yaozhong, Shi Peijun, Zhu Wenquan,et al. 2004. quantitative measured ecological capital on Chinese terrestrial ecosystem based on remote sensed data [J]. Science in China Ser. D,34(4): 375–384. (in Chinese)
Shi Peijun, Pan Yaozhong, Chen Yunhao. 2002. Technical system of ecological capital integrated measurement using multi-scale remotely sensed data [J]. Advance in Earth Sciences.17(2): 169–173. (in Chinese)
Xie Gaodi, Zhang Yili, Lu Chunxia,et al. 2001. Study on valuation of rangeland ecosystem services of China [J]. Journal of Natural Resources,16(1): 47–53. (in Chinese)
Yu Xinxiao, Qin Yongsheng, Chen Lihua,et al. 2002. The Forest Ecosystem services and their valuation of Beijing Mountain Areas [J]. Acta Ecologica Sinica,22(5): 627–630. (in Chinese)
Zhang Shuying, Chen Yunhao, Li Xiaobing. 2004. Measurement of ecological capital and ecological construction in Inner Mongolia [J]. Resources Science,26(3): 23–28. (in Chinese)
Zong Yueguang, Chen Hongchun, Guo Ruihua,et al. 2000. The systematic analysis on value of regional ecosystem services-A case study of Lingwu City [J]. Geographical Research,19(2): 148–154. (in Chinese)
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Foundation item: This study was supported by a grant of the National Natural Science Foundation of China (No. 40371001) and the National Key Basic Research Program (Grant No. G2000018604).
Blography: YU De-yong (1973-), male, Ph.D. Candidate in Beijing Normal University, Beijing 100875, P.R. China.
Responsible editor: Zhu Hong
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De-yong, Y., Yao-zhong, P., Yan-yan, W. et al. Valuation of ecosystem services for Huzhou City, Zhejiang Province from 2001 to 2003 by Remote Sensing data. Journal of Forestry Research 16, 223–227 (2005). https://doi.org/10.1007/BF02856820
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DOI: https://doi.org/10.1007/BF02856820