An Assessment of Ecological Sensitivity and Landscape Pattern in Abandoned Mining Land

被引:5
|
作者
Shi, Yu [1 ]
Fan, Xiaoxiao [1 ]
Ding, Xiaoying [1 ]
Sun, Meiqi [1 ]
机构
[1] Hebei Univ Technol, Sch Architecture & Art Design, Tianjin 300401, Peoples R China
关键词
ecological sensitivity; landscape planning; landscape pattern; suitability assessment; environmental resources; sustainable development; abandoned mining land; VULNERABILITY; RESOURCES; RUNOFF; MODES;
D O I
10.3390/su16031105
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, the development of abandoned mining land has become a focal point in landscape planning. However, during the development of abandoned mining land, there often exists a phenomenon of prioritizing economic considerations over ecological concerns, leading to a failure to achieve genuinely sustainable development. An ecological sensitivity assessment, guided by the principles of protection and development, provides an evaluation framework that directs planning strategies for abandoned mining land from the perspective of balanced development and conservation. To facilitate the development and construction of abandoned mining land, this paper utilizes GIS technology, on-site surveys, analytic hierarchy processes, etc. Taking the abandoned mining land in Haining, Zhejiang, China, as the research subject and considering its unique site conditions, ecological sensitivity is divided into topographic conditions, surface water systems, and plant landscapes. Ecological sensitivity factors are selected, and an ecological sensitivity assessment system is constructed from the perspectives of ecological conservation and sustainable development. Using ArcGIS 10.2 and Fragstats 4.2 software, landscape pattern analysis is conducted, exploring the relationship between landscape patterns and ecological sensitivity assessment results from the perspectives of landscape fragmentation, diversity, and aggregation. By comparing the results of single-factor sensitivity analysis and comprehensive sensitivity analysis, as well as landscape pattern indices before and after classifying ecologically sensitive areas, the practicality of the evaluation system is verified, facilitating planning studies and providing design recommendations for abandoned mining land. Landscape pattern indices serve as supplementary explanations for ecological sensitivity. Based on the results of ecological sensitivity assessment and landscape pattern indices, the ecological conservation levels in the research area are classified into five categories: the Level I Comprehensive Protection Zone, Level II Moderately Developed Zone, Level III Construction Suitable Zone, Level IV Core Construction Zone, and Level V Core Development Zone. These correspond to ecological protection zones, sightseeing experience zones, historical exhibition zones, core commercial zones, and themed amusement zones, respectively. The I-level sensitive area in the research area has the smallest range, while IV-level and VI-level sensitive areas have larger extents, exhibiting a high degree of overall landscape fragmentation but with diverse and dominant landscape types. Integrating ecological sensitivity assessment results and landscape pattern indices aids in delineating ecological conservation levels and regional functional recreation zones, guiding the rational recreation allocation of resources for abandoned mining land and promoting its development into a scenic area integrating ecology and tourism.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Assessment of the contribution of land use pattern and intensity to landscape quality: use of a landscape indicator
    Weinstoerffer, J
    Girardin, P
    ECOLOGICAL MODELLING, 2000, 130 (1-3) : 95 - 109
  • [22] Landscape pattern changes and ecological risk assessment of major bays in the Philippines
    Wang, NingHao
    Yan, Jinfeng
    Su, Fenzhen
    OCEAN & COASTAL MANAGEMENT, 2024, 251
  • [23] Evaluating landscape ecological sensitivity of an estuarine island based on landscape pattern across temporal and spatial scales
    Chi, Yuan
    Zhang, Zhiwei
    Gao, Jianhua
    Xie, Zuolun
    Zhao, Mengwei
    Wang, Enkang
    ECOLOGICAL INDICATORS, 2019, 101 : 221 - 237
  • [24] Landscape sensitivity: an ecological view
    Miles, J
    Cummins, RP
    French, DD
    Gardner, S
    Orr, JL
    Shewry, MC
    CATENA, 2001, 42 (2-4) : 125 - 141
  • [25] Heavy metals and arsenic in an abandoned barite mining area: ecological risk assessment using biomarkers
    Necula, Radu
    Zaharia, Marius
    Butnariu, Alina
    Zamfirache, Maria-Magdalena
    Surleva, Andriana
    Ciobanu, Catalina Ionica
    Pintilie, Olga
    Iacoban, Carmen
    Drochioiu, Gabi
    ENVIRONMENTAL FORENSICS, 2023, 24 (3-4) : 164 - 175
  • [26] Construction of Ecological Security Pattern Based on Ecological Sensitivity Assessment in Jining City, China
    Zhou Yao
    Chang Jiang
    Chen Zong-Cheng
    Zhou Shi-Yuan
    Zheng Guo-Dong
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2022, 31 (06): : 5383 - 5404
  • [27] Optimization of landscape pattern in China Luojiang Xiaoxi basin based on landscape ecological risk assessment
    Li, Shaokun
    He, Wenxi
    Wang, Lei
    Zhang, Zhi
    Chen, Xiaoqian
    Lei, Tianci
    Wang, Shaojun
    Wang, Zhuangzhuang
    ECOLOGICAL INDICATORS, 2023, 146
  • [28] Ecological security pattern construction based on landscape ecological risk assessment in the Yellow River basin
    Yan, Jixuan
    Li, Jie
    Yao, Xiangdong
    Li, Qiang
    Zheng, Zhiqin
    Li, Guang
    Qi, Guangping
    Ma, Weiwei
    Song, Miao
    Gao, Pengcheng
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2025, 13
  • [29] Evaluation of Regional Ecological Risk of Land Use Landscape Pattern Based on GIS and RS
    Du, Jun
    Yang, Qinghua
    Yan, Jia
    Xue, Chongsheng
    Dai, Juan
    PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, 2008, : 284 - 288
  • [30] Landscape Pattern Consistency Assessment of 10 m Land Cover Products in Different Ecological Zoning Contexts of Sichuan Province, China
    Ma, Miaomiao
    Zou, Youfeng
    Zhang, Wenzhi
    Chen, Chunhui
    SUSTAINABILITY, 2022, 14 (24)