1. School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China;
2. Administration of Guangdong Neilingding-Futian National Nature Reserve, Shenzhen 518041, China
An indicator system for bird ecological heath assessment of mangrove wetland was developed based on the Analytic hierarchy process, and Futian mangrove wetland of Shenzhen Bay was used as an example to evaluate the bird ecological health of mangrove wetland in Guangdong-Hong Kong-Macao Greater Bay Area. The results show that: the weights of the functional layer indicators of the bird ecological health assessment of mangrove wetland are: Habitat suitability index (0.443) > habitat importance index (0.283) > habitat environmental risk Index (0.181) > bird community health index (0.094). The weights and assignments of the nine bird ecological health indicators are: bird diversity (0.094,4), habitat importance (0.283,3), land degradation (0.147,3), noise (0.074,1), light pollution (0.074,4), building impact (0.148,2), heavy metal pollution (0.089,5), organic pollution exposure (0.056,2) and biological invasion (0.035,4). The health comprehensive index (HCI) of the birds in Futian mangrove wetland was 3, which is generally in a “sub-health” state, indicating that the suitability of current habitat had been deteriorated and there were certain environmental risks. Based on the current ecological status of Shenzhen Bay, some suggestions for bird protection are proposed: establish a bird dynamic monitoring network to promote scientific and efficient bird protection decision-making; strengthen urban noise control and reduce the direct impact of human activities to improve habitat suitability; reinforce the monitor and control of pollutant discharge to reduce environmental risks; and improve the overall ecological health of mangrove wetland birds.
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ZHOU Lin, WU Hai-lun, XU Hua-lin, SHEN Xiao-xue, CHAI Min-wei, LI Rui-li. Bird ecological health assessment of mangrove wetland in Guangdong-Hong Kong-Macao Greater Bay Area: A case study of Shenzhen Bay. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(6): 2604-2614.
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