Study on the Assessment Method of Agroecosystem Health Based on the Pressure-State-Response Model

被引：2
作者：
Li, B. [1 ]
Xie, H. L. [2 ]
Guo, H. H. [1 ]
Hou, Y. [1 ]
机构：
[1] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Coll Resource Sci & Technol, Beijing 100875, Peoples R China
[2] JiangXi Univ Finance & Econ, Coll Resource & Environm Management, Nanchang, Jiangxi 330032, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4 | 2009年
关键词：
Agroecosystem; ecosystem health; index system;
D O I：
10.1109/IEEM.2009.5373514
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Agriculture is a conflict region for economical development and environmental protection, and agroecosystem health assessment is its foundation of sustainable development. Based on the character of agroecosystem and PSR (Pressure-State-Response) model, this paper selected some indicators of agroecosystem health and constructed the model of matter-element evaluation, which is applied to seven towns in DXQ (Daxing District) and got the following results: WSZZ (Weishanzhuang Town), LXZ (Lixian Town) are 'healthy'; CZYZ (Changziying Town), ADZ (Anding Town) and YHZ (Yinghai Town) are 'critical state'; XHMZ (Xihongmen Town), JGZ (Jiugong Town) are 'unhealthy'. The results are basically consistent with facts of seven towns, so the index system and method of evaluation are feasible.
引用
收藏
页码：2458 / +
页数：2
相关论文
共 46 条
  • [41] Water Resources Vulnerability Assessment Based on the Fuzzy Optimum Selection Method: a Case Study of Zhangjiakou Region, Guanting Reservoir Basin in North China
    Wang Xuan
    Li Jianying
    Tan Yayi
    Shan Shan
    PROGRESS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, VOL II, PTS A AND B, 2009, : 182 - 187
  • [42] Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model-A Case Study of the Two Lake Plains, China
    Li, Xigui
    Wu, Qing
    Liu, Yujie
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [43] Quantifying the spatial nonstationary response of influencing factors on ecosystem health based on the geographical weighted regression (GWR) model: an example in Inner Mongolia, China, from 1995 to 2020
    Li Na
    Yu Shi
    Luo Guo
    Environmental Science and Pollution Research, 2023, 30 : 73469 - 73484
  • [44] Quantifying the spatial nonstationary response of influencing factors on ecosystem health based on the geographical weighted regression (GWR) model: an example in Inner Mongolia, China, from 1995 to 2020
    Na, Li
    Shi, Yu
    Guo, Luo
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (29) : 73469 - 73484
  • [45] A Hidden Markov Model based unscented Kalman Filtering framework for ecosystem health prediction: A case study in Shanghai-Hangzhou Bay Urban Agglomeration
    Xiao, Rui
    Guo, Yuxiang
    Zhang, Zhonghao
    Li, Yansheng
    ECOLOGICAL INDICATORS, 2022, 138
  • [46] Temporal-Spatial Evolution and Driving Mechanism for an Ecosystem Health Service Based on the GD-MGWR-XGBOOT-SEM Model: A Case Study in Guangxi Region
    Wei, Zhenfeng
    Chen, Dong
    Huang, Qunying
    Chen, Qifeng
    Wei, Chunxia
    SUSTAINABILITY, 2025, 17 (08)
12345