基于生态安全格局的国土空间生态保护修复重点区域识别——以海城市为例

doi:10.16843/j.sswc.2022131

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (5300 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract [Background] Ecological restoration is an important guarantee to maintain national ecological security. Scientific and reasonable identification of key ecological restoration areas is a difficult issue in current territorial spatial planning, and this study took Haicheng city of Liaoning province as an example while combined GIS and remote sensing technology, the key areas of ecological restoration in Haicheng were identified and specific restoration measures were proposed, aiming to strengthen the construction of ecological security and soil and water conservation and other related control measures in Haicheng again. [Methods] Under the guidance of the idea of overall protection and system governance, based on the connectivity of ecological landscape and supported by the paradigm of "source selection-corridor identification-node determination". and comprehensive use of MSPA landscape pattern analysis, the habitat quality assessment and nature reserves was to select ecological sources, and circuit theory and MCR model were used to identify ecological corridors, build a regional ecological security pattern, and finally determine the spatial distribution of key areas of ecological restoration in Haicheng, including ecological pinch points to be repaired, ecological barrier points to be repaired, ecological breaking points to be repaired and broken ecological land. [Results] 1) The ecological source area of Haicheng is 486.89 km², which is mainly woodland and water area, and the ecological corridors between sources are mainly river patterns, and 73 ecological corridors between sources are identified, with a total length of 394.81 km. 2) Based on the ecological security pattern to identify the key areas of ecological restoration in Haicheng city, 29 ecological pinch points with a total length of 71.63 km, 16 ecological barrier points with an area of 39.70 km², 34 ecological breaking points and a total 40.78 km² of broken ecological land to be repaired are identified. 3) Based on the analysis of the spatial distribution characteristics and land use status of all kinds of ecological protection and restoration key areas, the specific restoration and promotion directions are put forward: For the identified river-type ecological corridors, river pollution prevention and control should be strengthened, i.e., establishing river real-time monitoring mechanism, protecting and conserving water sources, and ensuring the normal flow of species. Having the mountain ridge ecological corridor strengthens the soil erosion control, protects and improves the ridge soil function and so on. For the control measures of ecological pinch points, ecological barrier points and ecological breaking points, the environmental protection of each ecological key area should be enhanced, the ecological resistance faced by the species flow should be reduced, and thus the balance of the ecosystem in the region may be ensured. The low-quality ecological areas corresponding to the broken ecological space should have the construction of ecological protection enhanced. [Conclusions] The research paradigm of "source selection-corridor identification-node determination" is used to obtain the priority areas for ecological restoration in the city of Haicheng and to propose targeted restoration suggestions.

Key words： ecological restoration circuit theory ecological corridor ecological security pattern Haicheng

Received: 28 June 2022

PACS:

X826

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	BAI Zilong
	WANG Shidong
	FAN Qinhe
	ZHANG Hebing

Cite this article:

BAI Zilong,WANG Shidong,FAN Qinhe, et al. Identification of key areas for ecological protection and restoration in territorial space based on ecological security pattern: A case study in Haicheng city[J]. SSWC, 2024, 22(5): 179-188.

URL:

http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2022131 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2024/V22/I5/179

[1]	彭建, 吕丹娜, 董建权, 等. 过程耦合与空间集成: 国土空间生态修复的景观生态学认知[J]. 自然资源学报, 2020, 35(1): 3. PENG Jian, Lü Danna, DONG Jianquan, et al. Process coupling and spatial integration:Characterizing ecological restoration of territorial space in view of landscape ecology [J]. Journal of Natural Resources, 2020,35(1): 3.
[2]	王威, 贾文涛. 生态文明理念下的国土综合整治与生态保护修复[J]. 中国土地, 2019(5): 29. WANG Wei, JIA Wentao. Comprehensive land improvement and ecological protection and restoration under the concept of ecological civilization [J]. China Land, 2019(5): 29.
[3]	王军, 应凌霄, 钟莉娜. 新时代国土整治与生态修复转型思考[J]. 自然资源学报, 2020, 35(1): 26. WANG Jun, YING Lingxiao, ZHONG Lina. Thingking for the transformation of land consolidation and ecological restoration in the new era [J]. Journal of Natural Resources, 2020, 35(1): 26.
[4]	韩博, 金晓斌, 项晓敏, 等. 基于"要素-景观-系统" 框架的江苏省长江沿线生态修复格局分析与对策[J]. 自然资源学报, 2020, 35(1): 141. HAN Bo, JIN Xiaobin, XIANG Xiaomin, et al. Exploration of ecological restoration pattern and countermeasure along the Yangtze River in Jiangsu province based on the "element-landscape-system" frameword [J]. Journal of Natural Resources, 2020,35(1): 141.
[5]	王聪, 伍星, 傅伯杰, 等. 重点脆弱生态区生态恢复模式现状与发展方向[J]. 生态学报, 2019, 39(20): 7333. WANG Cong, WU Xing, FU Bojie, et al. Ecological restoration in the key ecologically vulnerable regions: Current situation and development direction [J]. Acta Ecologica Sinica, 2019, 39(20): 7333.
[6]	FATH B D, SCHARLER U M, ULANOWICZ R E, et al. Ecological network analysis: Network construction[J]. Ecological modelling, 2007, 208(1): 49.
[7]	BENEDICT M A, MCMAHON E T. Green infrastructure: Smart conservation for the 21st century[J]. Renewable resources journal, 2002, 20(3): 12.
[8]	倪庆琳, 侯湖平, 丁忠义, 等. 基于生态安全格局识别的国土空间生态修复分区:以徐州市贾汪区为例[J]. 自然资源学报, 2020, 35(1): 204. NI Qinglin, HOU Huping, DING Zhongyi, et al. Ecological remediation zoning of territory based on the ecological security pattern recognition: Taking Jiawang district of Xuzhou city as an example [J]. Journal of Natural Resources, 2020,35(1): 204.
[9]	袁媛, 白中科, 师学义, 等. 基于生态安全格局的国土空间生态保护修复优先区确定:以河北省遵化市为例[J]. 生态学杂志,2022,41(4):750. YUAN Yuan, BAI Zhongke, SHI Xueyi, et al. Determining priority areas for ecosystem preservation and restoration of territory based on ecological security pattern: A case study in Zunhua city, Hebei province[J]. Journal of Ecology,2022,41(4):750.
[10]	温雪静, 周智, 张美丽, 等. 太行山区国土空间生态修复关键区域识别:以唐县为例[J]. 中国生态农业学报, 2021, 29(12): 2093. WEN Xuejing, ZHOU Zhi, ZHANG Meili, et al. Identification of key areas of territorial ecological restoration in Taihang Mountains: A case study of Tang county[J]. Chinese Journal of Eco-Agriculture, 2021, 29(12): 2093.
[11]	PENG Jian, YANG Yang, LIU Yanxu, et al. Linking ecosystem services and circuit theory to identify ecological security patterns[J]. Science of the Total Environment, 2018, 644: 781.
[12]	方莹, 王静, 黄隆杨, 等. 基于生态安全格局的国土空间生态保护修复关键区域诊断与识别:以烟台市为例[J]. 自然资源学报, 2020, 35(1): 190. FANG Ying, WANG Jing, HUANG Longyang, et al. Determining and identifying key areas of ecosystem preservation and restoration for territorial spatial planning based on ecological security pattern: A case study of Yantai city [J]. Journal of Natural Resources, 2020,35(1): 190.
[13]	付凤杰, 刘珍环, 刘海. 基于生态安全格局的国土空间生态修复关键区域识别:以贺州市为例[J]. 生态学报, 2021, 41(9): 3406. FU Fengjie, LIU Zhenhuan, LIU Hai. Identifying key areas of ecosystem restoration for territorial space based on ecological security pattern: A case study in Hezhou city [J]. Acta Ecologica Sinica, 2021,41(9): 3406.
[14]	GAO Jiangbo, DU Fujun, ZUO Liyuan, et al. Integrating ecosystem services and rocky desertification into identification of karst ecological security pattern[J]. Landscape Ecology, 2021, 36(7): 2113.
[15]	MCRAE B H, HALL S A, BEIER P, et al. Where to restore ecological connectivity? Detecting barriers and quantifying restoration benefits[J]. Plos One, 2012, 7(12): e52604.
[16]	MCRAE B H, DICKSON B G, KEITT T H, et al. Using circuit theory to model connectivity in ecology, evolution, and conservation[J]. Ecology, 2008, 89(10): 2712.
[17]	CLAY E, MORENO-SANCHEZ R, TORRES-ROJO J M, et al. National assessment of the fragmentation levels and fragmentation-class transitions of the forests in Mexico for 2002, 2008 and 2013[J]. Forests, 2016, 7(3): 48.
[18]	WANG Hefei, PEI Zongping. Urban green corridors analysis for a rapid urbanization city exemplified in Gaoyou city, Jiangsu[J]. Forests, 2020, 11(12): 1374.
[19]	许宝荣, 刘一川, 董莹, 等. 基于InVEST模型的兰州地区生境质量评价[J]. 中国沙漠, 2021, 41(5): 120. XU Baorong, LIU Yichuan, DONG Ying, et al. Evaluation of habitat quality in Lanzhou region based on InVEST model[J]. Journal of Desert Research, 2021, 41(5): 120.
[20]	高周冰, 王晓瑞, 隋雪艳, 等. 基于FLUS和InVEST模型的南京市生境质量多情景预测[J]. 农业资源与环境学报,2022,39(5): 1. GAO Zhoubing, WANG Xiaorui, SUI Xueyan, et al. Multi-scenario prediction of habitat quality in Nanjing based on FLUS and InVEST model[J]. Journal of Agricultural Resources and Environment,2022, 39(5): 1.
[21]	张萌, 刘吉平, 赵丹丹. 吉林省西部生态安全格局构建[J]. 干旱区地理, 2021, 44(6): 1676. ZHANG Meng, LIU Jiping, ZHAO Dandan. Construction of ecological security pattern in western Jilin province[J]. Arid Land Geography, 2021, 44(6): 1676.
[22]	ROY A, DEVI B, DEBNATH B, et al. Geospatial modelling for identification of potential ecological corridors in Orissa[J]. Journal of the Indian Society of Remote Sensing, 2010, 38(3): 387.