Identification and Optimization Strategy of Ecological Security Pattern in Zhaoyuan City
- DOI
- 10.2991/978-94-6463-218-7_26How to use a DOI?
- Keywords
- ecological security pattern; habitat quality; ecological source; minimum cumulative resistance model; Circuit theory; ecological corridor
- Abstract
Human activities have seriously threatened the natural ecological security at present. In order to better promote the construction of ecological civilization, how to accurately identify the ecological security pattern has become the key. Taking Zhaoyuan City, a typical resource-rich coastal city, as the research object, the ecological source was identified comprehensively based on habitat quality and ecosystem service value combined with landscape connectivity. The MCR model was used to construct the comprehensive resistance surface, and the circuit theory was used to extract the ecological corridor and ecological key points. Based on this, the ecological security pattern of the coastal resource-rich area was constructed, and the targeted restoration suggestions were put forward.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jin Wang AU - Youzheng Sun AU - Meihuan Yang AU - Baoqiang Chen PY - 2023 DA - 2023/08/16 TI - Identification and Optimization Strategy of Ecological Security Pattern in Zhaoyuan City BT - Proceedings of the 2023 2nd International Conference on Urban Planning and Regional Economy (UPRE 2023) PB - Atlantis Press SP - 239 EP - 245 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-218-7_26 DO - 10.2991/978-94-6463-218-7_26 ID - Wang2023 ER -