Ecosystem health assessment based on DPSIRM framework and health distance model in Nansi Lake, China

被引:57
|
作者
Zhang, Feng [1 ]
Zhang, Jiquan [1 ]
Wu, Rina [1 ]
Ma, Qiyun [1 ]
Yang, Jun [2 ]
机构
[1] NE Normal Univ, Sch Environm, Changchun 130024, Peoples R China
[2] Liaoning Normal Univ, Sch Urban & Environm, Dalian 116029, Peoples R China
基金
中国国家自然科学基金;
关键词
Health distance; Driving-pressure-state-impact-response-management (DPSIRM) framework; Lake ecosystem health; Nansi Lake; GRASSLAND FIRE DISASTER; RISK-ASSESSMENT; COASTAL ZONE; RESPONSE FRAMEWORK; IMPACT; STATE; PRESSURE; INDICATORS; EVOLUTION; SECURITY;
D O I
10.1007/s00477-015-1109-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As lake ecosystem assessment is the foundation to achieve lake monitoring, environmental management and ecological restoration, a new concept of lake ecosystem health and driving force-pressure-state-impact-response-management framework was proposed to find out the causal relationship of the system and health distance model was taken to represent the health level of ecosystem. An assessment indicator system comprised of water quality, ecological and socio-economic criteria was established. The evaluation models were applied for the assessment of the ecosystem health level of a typical lake, Nansi Lake, China. Depends on the values of health distance, the heath level was described as 5A degrees: very healthy, healthy, general healthy, sub-healthy and diseased. Using field investigation data and statistic data within the theory and applied models, the results of comprehensive assessment show that: (1) the health distances of water quality indicators, ecological indicators, socio-economic indicators and comprehensive health distance were 0.3989, 0.2495, 0.4983 and 0.4362, respectively. The health level was in general healthy condition. Ecological indicators were in healthy condition, which indicate that the stability was high. The distance of water quality had shown a tendency to approach general healthy level. As the health distance of socio-economic indicators have shown a bad impact form human beings, more effective measures need to be developed. (2) The results of a case study demonstrated that the methods in this paper provide a similar result corresponding with the actual lake health condition. Therefore, this paper shows that the proposed method is efficient and worths generalization.
引用
收藏
页码:1235 / 1247
页数:13
相关论文
共 50 条
  • [21] Assessment on ecosystem health of Lake Poyang based on a comprehensive index method
    Mao Z.
    Xu L.
    Lai X.
    Wang X.
    Li Y.
    Li X.
    Cai Y.
    Fan H.
    Wu Y.
    Wei F.
    Hupo Kexue/Journal of Lake Sciences, 2023, 35 (03): : 1022 - 1032
  • [22] Study on heavy metal levels and its health risk assessment in some edible fishes from Nansi Lake, China
    Zhu, Fangkun
    Qu, Li
    Fan, Wenxiu
    Wang, Airong
    Hao, Hailing
    Li, Xiaobo
    Yao, Shuwen
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (04)
  • [23] Development of a structurally dynamic model for ecosystem health prognosis of Baiyangdian Lake, China
    Xu, Fei
    Yang, Zhifeng
    Chen, Bin
    Zhao, Yanwei
    ECOLOGICAL INDICATORS, 2013, 29 : 398 - 410
  • [24] Ecosystem Health: Assessment Framework, Spatial Evolution, and Regional Optimization in Southwest China
    Hao Zhang
    Jian Sun
    Wei Deng
    Li Peng
    Chinese Geographical Science, 2020, 30 : 142 - 156
  • [25] Ecosystem Health: Assessment Framework, Spatial Evolution, and Regional Optimization in Southwest China
    Zhang Hao
    Sun Jian
    Deng Wei
    Peng Li
    CHINESE GEOGRAPHICAL SCIENCE, 2020, 30 (01) : 142 - 156
  • [26] Ecosystem Health: Assessment Framework, Spatial Evolution, and Regional Optimization in Southwest China
    ZHANG Hao
    SUN Jian
    DENG Wei
    PENG Li
    Chinese Geographical Science, 2020, 30 (01) : 142 - 156
  • [27] Study on heavy metal levels and its health risk assessment in some edible fishes from Nansi Lake, China
    Fangkun Zhu
    Li Qu
    Wenxiu Fan
    Airong Wang
    Hailing Hao
    Xiaobo Li
    Shuwen Yao
    Environmental Monitoring and Assessment, 2015, 187
  • [28] Health Assessment of the Stream Ecosystem in Beijing, China
    Zhang Y.-H.
    Qu X.-D.
    Peng W.-Q.
    Zhang M.
    Zhang H.-P.
    Du L.-F.
    Zhang S.-C.
    Huanjing Kexue/Environmental Science, 2023, 44 (10): : 5478 - 5489
  • [29] Forest ecosystem health assessment and analysis in China
    Fengjin Xiao
    Hua Ouyang
    Qiang Zhang
    Bojie Fu
    Zhicheng Zhang
    Journal of Geographical Sciences, 2004, 14 (Suppl 1): : 18 - 24
  • [30] Forest ecosystem health assessment and analysis in China
    XIAO Fengjin 1
    2. Inst. of Geographic Sciences and Natural Resources Research
    3. Research Center for Eco-Environmental Sciences
    Journal of Geographical Sciences, 2004, (01) : 20 - 26