基于生态网络的生态修复关键区识别——以延安市为例

doi:10.12118/j.issn.1000-6060.2023.242

Abstract

Abstract:

Delimiting key areas of ecological restoration is the prerequisite and foundation for implementing differentiated ecological restoration strategies. Taking Yan’an City, Shaanxi Province, China as an example, this paper employs morphological spatial pattern analysis to construct landscape patterns and integrate the probability of connectivity index to identify ecological sources. In addition, it utilizes the minimum cumulative resistance model based on impact factors like land use and normalized difference vegetation index to calculate the minimum cumulative resistance difference, extract ecological corridors, construct an ecological network, divide corridor levels by cost connectivity, and analyze network structure characteristics using graph theory. Finally, ecological corridors and landscape patterns are superimposed to identify the critical areas for ecological restoration in Yan’an City. The results show that: (1) Yan’an City has an extensive coverage of forest and grassland, although with scattered overall coverage and poor landscape connectivity. (2) Ecological sources in Yan’an City are mainly distributed in the southwest and southeast, while the northeast has poor habitat quality and is unsuitable for species habitat. (3) Ecological corridors mainly comprised forest landscapes, including 10% of the crucial corridors, with extremely uneven spatial distribution of the ecological networks. (4) Ecological networks’ closure, complexity, and connectivity are low, and the network stability is poor. (5) Islets in Yan’an City are mainly distributed in Luochuan County, with key areas of ecological restoration mainly concentrated in Fu County and Huanglong County, including 21.93% of the Level 1 restoration areas. These results can provide a reference and basis for identifying the critical areas of ecological restoration and constructing ecological networks in Yan’an City.

Key words: key areas of ecological restoration, minimum cumulative resistance difference, ecological network, Yan’an City

XU Zhongyang, WANG Cheng, GU Tong, WANG Shiyu, PEI Chenyang, ZHANG Qingfeng. Identification of the key areas of ecological restoration based on the ecological network: A case study of Yan’an City[J].Arid Land Geography, 2024, 47(6): 1073-1083.

Figures/Tables 13

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景观类型	生态学含义
核心区	前景像元中较大的生境斑块，可作为生态网络中“源地”
孤岛	彼此不相连的孤立、破碎的小斑块，斑块内外连通作用极弱
孔隙	核心区与内部非潜在源地之间的过渡区域，即核心区内边界
边缘	核心区与外部非潜在源地之间的过渡区域，即核心区外边界
环道	核心区内部物质交换、能量转化和信息传递的通道，具有廊道的特征
桥接	核心区之间物质交换、能量转化和信息传递的通道，具有廊道的特征
支线	只有一端与环道、孔隙、边缘区或桥接区相连的区域

阻力因子	分级指标	阻力值	权重	阻力因子	分级指标	阻力值	权重
土地利用类型	水体、草地	10	0.38	土地利用类型	水体、草地	50	0.33
	森林、灌木	20			森林、灌木	40
	农田	30			农田	30
	裸地	40			裸地	20
	不透水面	50			不透水面	10
距源地距离/km	<1	10	0.22	距建筑用地距离/km	<0.5	10	0.25
	1~3	20			0.5~1.5	20
	3~5	30			1.5~3	30
	5~8	40			3~5	40
	>8	50			>5	50
NDVI	0.04~0.17	50	0.13	距源地距离/km	<1	50	0.19
	0.17~0.29	40			1~3	40
	0.29~0.42	30			3~5	30
	0.42~0.55	20			5~8	20
	0.55~0.68	10			>8	10
距主要河流距离/km	<1	10	0.10	坡度/(°)	<13.3	10	0.10
	1~3	20			13.3~26.6	20
	3~5	30			26.6~40.0	30
	5~8	40			40.0~53.3	40
	>8	50			53.3~66.6	50
距建筑用地距离/km	<0.5	50	0.07	NDVI	0.04~0.17	10	0.06
	0.5~1.5	40			0.17~0.29	20
	1.5~3	30			0.29~0.42	30
	3~5	20			0.42~0.55	40
	>5	10			0.55~0.68	50
距主要道路距离/km	<1	50	0.05	距主要道路距离/km	<1	10	0.04
	1~2	40			1~2	20
	2~4	30			2~4	30
	4~7	20			4~7	40
	>7	10			>7	50
DEM/km	0.38~0.67	10	0.03	距主要河流距离/km	<1	50	0.03
	0.67~0.95	20			1~3	40
	0.95~1.24	30			3~5	30
	1.24~1.52	40			5~8	20
	1.52~1.81	50			>8	10
坡度/(°)	<13.3	10	0.02	DEM/km	0.38~0.67	10	0.01
	13.3~26.6	20			0.67~0.95	20
	26.6~40.0	30			0.95~1.24	30
	40.0~53.3	40			1.24~1.52	40
	53.3~66.6	50			1.52~1.81	50

景观类型	面积/km²	占前景比例/%	占总体比例/%
桥接区	20859.85	63.73	56.31
核心区	9485.37	28.98	25.61
环道	914.38	2.79	2.47
边缘	761.27	2.33	2.06
孔隙	351.24	1.07	0.95
支线	225.67	0.69	0.61
孤岛	134.37	0.41	0.36
总计	32732.18	100.00	88.37

斑块编号	dPC	面积/km²	占核心区比例/%
1	42.43	2264.83	23.89
2	38.71	1604.91	16.92
3	33.82	1352.44	14.29
4	16.38	379.91	4.01
5	7.12	121.86	1.28
6	5.47	271.07	2.86
7	3.81	124.98	1.32
8	2.73	47.20	0.50
9	2.14	99.01	1.04
10	1.61	51.50	0.54
11	1.55	51.50	0.54
12	0.95	41.30	0.44
13	0.81	47.41	0.50
14	0.55	39.04	0.41
15	0.39	165.19	1.74
16	0.37	106.35	1.12
17	0.19	79.59	0.84
18	0.07	80.44	0.85
19	0.04	44.57	0.47
20	0.02	56.75	0.60

Identification of the key areas of ecological restoration based on the ecological network: A case study of Yan’an City

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