Abstract
Honghu Lake, located in the southeast of Hubei Province, China, has suffered a severe disturbance during the past few decades. To restore the ecosystem, the Honghu Lake Wetland Protection and Restoration Demonstration Project (HLWPRDP) has been implemented since 2004. A back propagation (BP) artificial neural network (ANN) approach was applied to evaluatinig the ecosystem health of the Honghu Lake wetland. And the effectiveness of the HLWPRDP was also assessed by comparing the ecosystem health before and after the project. Particularly, 12 ecosystem health indices were used as evaluation parameters to establish a set of three-layer BP ANNs. The output is one layer of ecosystem health index. After training and testing the BP ANNs, an optimal model of BP ANNs was selected to assess the ecosystem health of the Honghu Lake wetland. The result indicates that four stages can be identified based on the change of the ecosystem health from 1990 to 2008 and the ecosystem health index ranges from morbidity before the implementation of HLWPRDP (in 2002) to middle health after the implementation of the HLWPRDP (in 2005). It demonstrates that the HLWPRDP is effective and the BP ANN could be used as a tool for the assessment of ecosystem health.
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References
Cheng Xiaoying, Li Shijie, 2006. Evolution and character of the representative lakes in the middle and lower reaches regions of Yangtze River. Chinese Science Bulletin, 51(7): 848–855. (in Chinese)
Costanza R, Norton B G, Haskell B D, 1992. Ecosystem Health: New Goals for Environmental Management. Washington, D.C.: Island Press.
Cui Baoshan, Yang Zhifeng, 2002. Establishing an indicator system for ecosystem health evaluation on wetlands II: An Application. Acta Ecologica Sinica, 12(8): 1231–1239. (in Chinese)
Dai Erfu, Wu Shaohong, Shi Wenzhong et al., 2005. Modeling change-pattern-value dynamics on land use: An integrated GIS and artificial neural networks approach. Environmental Management, 36(4): 576–591. DOI: 10.1007/s00267-004-0165-2
Francis J Pantus, William C Dennison, 2005. Quantifying and evaluating ecosystem health: A case study from Moreton Bay, Australia. Environmental Management, 36(5): 757–771. DOI: 10.1007/s00267-003-0110-6
IGG (Institute of Geodesy and Geophysics, Chinese Academy of Sciences), Honghu Wetland Nature Reserve Administrative Bureau (HWNRAB), 2005. The Report of Scientific Survey for Honghu Lake Wetland Nature Reserve of Hubei Province. Wuhan: Institute of Geodesy and Geophysics. (in Chinese)
Jingzhou Statistical Bureau, 2001–2008. Jingzhou Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
Jørgensen S E, 1995. Exergy and ecological buffer capacities as measures of ecosystem health. Ecosystem Health, 1(3): 150–160.
Levins R, 1995. Preparing for uncertainty. Ecosystem Health, 1(1): 47–57.
Pijanowski B C, Brown D G, Shellito B A et al., 2002. Using neural networks and GIS to forecast land use changes: A Land Transformation Model. Computers, Environment and Urban Systems, 26: 553–575. DOI: 10.1016/s0198-9715(01)00015-1
Qin Ming, Lu Jian, 2005. Problems with wetland ecosystem of the Honghu Lake and Harness Measures. Chinese Irrigation Works, 7: 64–66. (in Chinese)
Rapport D J, 1992. Evaluating ecosystem health. Journal of Aquatic Ecosystem Health, 1: 15–24. DOI: 10.1007/BF00044-405
Rapport D J, 1995. Ecosystem health: Exploring the territory. Ecosystem Health, 11: 5–13.
Rapport D J, Gaudet C, Karr J R et al., 1998. Evaluating landscape health: integrating societal goals and biophysical process. Journal of Environmental Management, 53(1): 1–15. DOI: 10.1006/jema.1998.0187
Salomon R, Hemmen J, 1996. Accelerating back propagation through dynamic self-adaptation. Neural Networks, 9(4): 589–601. DOI: 10.1016/0893-6080(95)00144
Schaeffer D J, Herricks E E, Kerster H W, 1988. Ecosystem health: I. measuring ecosystem health. Environmental Management, 12(4): 445–455. DOI: 10.1007/BF61873258
Simpson R D, 1998. Economic analysis and ecosystems: Some concepts and issues. Ecological Applications, 8(2): 342–349.
Suo Anning, Xiong Youcai, Wang Tianming et al., 2008. Ecosystem health assessment of the Jinghe River watershed on the Huangtu Plateau. Ecohealth, 5(2): 127–136. DOI: 10.1007/s10-393-008-0167-z
Wang Xuelei, Liu Xingtu, Wu Yijin, 2003. Analysis of water environment characteristics and purification ability of Honghu Lake wetland in Jianghan Plain. J. Wuhan Univ. (Nat. Sci. Ed.), 9(2): 217–220. (in Chinese)
Xia Jun, 1999. Regional Water Environment and Eco-environmental Quality Evaluation. Wuhan: Wuhan University of Hydraulic and Electric Press. (in Chinese)
Xu F L, Jørgensen S E, Shu T, 1999. Ecological indicators for assessing freshwater ecosystem health. Ecological Modeling, 116(1): 77–106.
Yang Handong, Cai Shuming, 1995. The chemical structure of the ecological environment in Honghu Lake. Acta Ecologica Sinica, 15(4): 392–398. (in Chinese)
Yao Shuchun, Xue Bin, Xia Weilan, 2006. Human impact recorded in the sediment of Honghu Lake, Hubei, China. Journal of Environmental Science, 18(2): 402–406.
Zhang Zulu, Liang Chunling, Guan Yanbo, 2008. Assessment of wetland ecosystem health in the Nansihu Lake. China Population, Resources and Environment, 18(1): 180–184. (in Chinese)
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Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40871251), Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-141)
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Mo, M., Wang, X., Wu, H. et al. Ecosystem health assessment of Honghu Lake Wetland of China using artificial neural network approach. Chin. Geogr. Sci. 19, 349–356 (2009). https://doi.org/10.1007/s11769-009-0349-9
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DOI: https://doi.org/10.1007/s11769-009-0349-9