Evaluating the landscape ecological risk based on GIS: A case-study in the Poyang Lake region of China

被引:66
作者
Xie, Hualin [1 ,2 ]
Wen, Jiaming [1 ]
Chen, Qianru [1 ]
Wu, Qing [1 ]
机构
[1] Jiangxi Univ Finance & Econ, Inst Ecol Civilizat, Nanchang 330013, Jiangxi, Peoples R China
[2] Jiangxi Univ Finance & Econ, Res Ctr Land Management, Nanchang, Jiangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
ecological risk evaluation; GIS; land use; landscape pattern; Poyang Lake Region; ECO-ECONOMIC ZONE; LAND-USE CHANGE; SPATIOTEMPORAL VARIATIONS; RIVER-BASIN; SCALE; EVOLUTION; SECURITY; PLATEAU; PATTERN;
D O I
10.1002/ldr.3951
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Influenced by human activities, the largest freshwater lake in China, Poyang Lake is suffering from landscape degradation and increased ecological risks. However, the specific landscape ecological risk in Poyang Lake region remains unknown. The impact of land use change on landscape pattern and ecological risk around Poyang Lake has not been revealed. In order to analyze the spatio-temporal distribution characteristics of landscape ecological risk in Poyang Lake region, this study constructed a landscape ecological risk index model based on GIS, geostatistics, and landscape ecology theory. The results show that: (a) all land use types in Poyang Lake region had been changed during the period 2010-2018. While large tracts of farmland and woodland were converted into construction land, farmland and woodland have seen the largest decrease and construction land has increased greatly. (b) On the whole, the low and medium-low landscape ecological risk area accounted for about 60% of the total area, while high and medium-high risk area increased during 2010-2018. The landscape ecological risk has seen a downward trend with increased low and medium-low ecological risk areas during 2010-2018. Spatially, ecological risk in the core waters of Poyang Lake was higher, while in the surrounding waters was lower. (c) The landscape ecological risk in Poyang Lake Region in each period shown positive spatial correlation and tended to be spatially agglomerative. The high-high risk clusters were mainly located in the core waters of the Lake area, while the low-low risk clusters were mainly located far away from the core waters, including county and city areas. (d) In 2018, farmland, woodland, grassland, and unutilized land were dominated by medium and medium low risk, the landscape ecological risk in the water area was the highest, and that of construction land was the lowest. The decrease rate of ERI in water areas was the largest, indicating that the change of water area contributed the most to the reduction of landscape ecological risk. During the process of ecological risk management in Poyang Lake Region, attention should be paid to the changes of the water area's structure and quality.
引用
收藏
页码:2762 / 2774
页数:13
相关论文
共 55 条
  • [1] LOCAL INDICATORS OF SPATIAL ASSOCIATION - LISA
    ANSELIN, L
    [J]. GEOGRAPHICAL ANALYSIS, 1995, 27 (02) : 93 - 115
  • [2] A perception based estimation of the ecological impacts of livelihood activities: The case of rural Ghana
    Baffoe, Gideon
    Matsuda, Hirotaka
    [J]. ECOLOGICAL INDICATORS, 2018, 93 : 424 - 433
  • [3] Issues in using landscape indicators to assess land changes
    Dale, Virginia H.
    Kline, Keith L.
    [J]. ECOLOGICAL INDICATORS, 2013, 28 : 91 - 99
  • [4] Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS
    Du, Peijun
    Xia, Junshi
    Du, Qian
    Luo, Yan
    Tan, Kun
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (03) : 848 - 863
  • [5] Elaborations on the use of the ecosystem services concept for application in ecological risk assessment for soils
    Faber, J. H.
    van Wensem, J.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 415 : 3 - 8
  • [6] Integrating chemical fate and population-level effect models for pesticides at landscape scale: New options for risk assessment
    Focks, Andreas
    ter Horst, Mechteld
    van den Berg, Erik
    Baveco, Hans
    van den Brink, Paul J.
    [J]. ECOLOGICAL MODELLING, 2014, 280 : 102 - 116
  • [7] 陕北黄土高原典型人类活动影响下景观生态风险评价
    傅微
    吕一河
    傅伯杰
    胡维银
    [J]. 生态与农村环境学报, 2019, 35 (03) : 290 - 299
  • [8] A landscape ecology assessment of the Tensas River Basin
    Heggem, DT
    Edmonds, CM
    Neale, AC
    Bice, L
    Jones, KB
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2000, 64 (01) : 41 - 54
  • [9] Ecological risk assessment of cities on the Tibetan Plateau based on land use/land cover changes - Case study of Delingha City
    Jin, Xin
    Jin, Yanxiang
    Mao, Xufeng
    [J]. ECOLOGICAL INDICATORS, 2019, 101 : 185 - 191
  • [10] Dealing with spatial misalignment to model the relationship between deprivation and life expectancy: a model-based geostatistical approach
    Johnson, Olatunji
    Diggle, Peter
    Giorgi, Emanuele
    [J]. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2020, 19 (01)