Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI)

被引:290
|
作者
Xu, Hanqiu [1 ,2 ]
Wang, Meiya [1 ,2 ]
Shi, Tingting [1 ,2 ]
Guan, Huade [3 ]
Fang, Canying [1 ,2 ]
Lin, Zhongli [2 ]
机构
[1] Fuzhou Univ, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Coll Environm & Resources, Fuzhou 350116, Fujian, Peoples R China
[2] Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros, Inst Remote Sensing Informat Engn, Fuzhou 350116, Fujian, Peoples R China
[3] Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA 5001, Australia
基金
中国国家自然科学基金;
关键词
Model prediction; Remote sensing-based ecological index (RSEI); Impervious surface; Population growth; Xiong'an New Area; TEMPERATURE RETRIEVAL; ECOSYSTEM SERVICES; VEGETATION INDEX; MANAGEMENT; INDICATOR; IMAGERY; COVER; TRANSFORMATION; ENVIRONMENT; IMPACT;
D O I
10.1016/j.ecolind.2018.05.055
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The ecological impact of urban development and population increase is an area of increasing relevance as human modification of the landscape continues unabated. The prediction of this impact will help inform urban planning and decision making around population growth, impervious surface (IS) increase and associated ecological effects. The Xiong'an New Area is a state-level new area to be established in North China. The population growth goal for the area is going to reach 2.5 million and the area is planned to expand to 2000 km(2). The potential population growth and area expansion will result in a massive increase in IS area and thus may impact the regional ecological quality. A clear understanding of the impact would help to minimize the influence of the new area's development on regional ecological quality. Therefore, this study investigated current land cover types and ecological status in the Xiong'an New Area using feature inversion techniques and the improved remote sensing-based ecological index (RSEI). Statistical models were developed to predict ecological effects responding to the forthcoming population and associated IS increase in the new area. This was achieved by relating population growth to IS area increase and exploring the relationships between IS area and RSEI. The results show that the area's land surface has not been intensively developed and the current ecological status is good. The RSEI-based prediction shows that IS area has a noteworthy effect on regional ecological conditions. The variation of IS proportions in the new area can result in a significant shift of RSEI. A balance amount of total IS area in the 2000 km(2) new area is 433 km(2). Exceeding/reducing the amount would result in a decline/rise of the area's ecological quality. Introducing a quantity of IS area-related population density (IPD) reveals that the area's ecological quality is actually related to IPD rather than to traditional population density when the total area and future population of the new area are given. Therefore, the forthcoming regional master planning for the new area should include specific efforts to control IS area increase.
引用
收藏
页码:730 / 740
页数:11
相关论文
共 50 条
  • [41] Integrated ecological index (IEI) for urban ecological status based on remote sensing data: a study at Semarang - Indonesia
    Indrawati, Like
    Murti, Sigit Heru B. S.
    Rachmawati, Rini
    FIFTH INTERNATIONAL CONFERENCES OF INDONESIAN SOCIETY FOR REMOTE SENSING: THE REVOLUTION OF EARTH OBSERVATION FOR A BETTER HUMAN LIFE, 2020, 500
  • [42] EVALUATION OF SPATIAL AND TEMPORAL CHANGES OF MINE ECOLOGICAL ENVIRONMENT IN ILI VALLEY BASED ON REMOTE SENSING ECOLOGICAL INDEX
    Hao-He
    Feifan-Yang
    JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2022, 23 (05): : 2124 - 2132
  • [43] Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index
    Xiaohan Zhao
    Dianchen Han
    Qi Lu
    Yunpeng Li
    Fangmin Zhang
    Journal of Arid Land, 2023, 15 : 920 - 939
  • [44] Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index
    ZHAO Xiaohan
    HAN Dianchen
    LU Qi
    LI Yunpeng
    ZHANG Fangmin
    JournalofAridLand, 2023, 15 (08) : 920 - 939
  • [45] Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index
    Zhao, Xiaohan
    Han, Dianchen
    Lu, Qi
    Li, Yunpeng
    Zhang, Fangmin
    JOURNAL OF ARID LAND, 2023, 15 (08) : 920 - 939
  • [46] Spatiotemporal change and driving factors of ecological status in Inner Mongolia based on the modified remote sensing ecological index
    Bai Zongfan
    Han Ling
    Liu Huiqun
    Jiang Xuhai
    Li Liangzhi
    Environmental Science and Pollution Research, 2023, 30 : 52593 - 52608
  • [47] Ecological environment quality evaluation and its influencing factors in yuecheng district based on remote sensing ecological index
    Xu, Shenying
    Jin, Xingxing
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [48] Evaluation of lake wetland ecotourism resources based on remote sensing ecological index
    Wang Y.
    Arabian Journal of Geosciences, 2021, 14 (7)
  • [49] Interval association of remote sensing ecological index in China based on concept lattice
    Liao, Weihua
    Nie, Xin
    Zhang, Zhiheng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (23) : 34194 - 34208
  • [50] A novel ecological evaluation index based on geospatial principles and remote sensing techniques
    Lin, Mengjing
    Zhao, Yang
    Shi, Longyu
    Wang, Xiaoqin
    INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 2024, 31 (07): : 809 - 826