Ecosystem health assessment of Honghu Lake Wetland of China using artificial neural network approach |
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| Authors: | Minghao Mo Xuelei Wang Houjian Wu Shuming Cai Xiaoyang Zhang Huiliang Wang |
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| Institution: | [1]School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China [2]Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China [3]Central South Forest Inventory and Planning Institute of State Forestry Administration, Changsha 410014, China [4]ERT at NOAA/NESDIS/STAR, Camp Springs, Maryland, USA |
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| 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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| Keywords: | ecosystem health artificial neural network wetland restoration Honghu Lake |
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