Construction of ecological network in Xinfeng based on MCR model and landscape connectivity

doi:10.12302/j.issn.1000-2006.202108041

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (4): 226-234.doi: 10.12302/j.issn.1000-2006.202108041

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Construction of ecological network in Xinfeng based on MCR model and landscape connectivity

YU Ying¹(), MENG Jinghui¹^,^*(), SONG Zengming², XU Lu³

1. College of Forestry, Beijing Forestry University, Beijing 100083, China
2. GEF Project Executive Office of Beijing State-owned Forest Farm, Beijing 100013, China
3. GEF Project Executive Office of Jiangxi State-owned Forest Farm, Nanchang 330038, China

Received:2021-08-23 Revised:2021-11-28 Online:2023-07-30 Published:2023-07-20

Abstract

Abstract:

【Objective】This study aims to explore a new idea of building ecological network to restore broken landscape and improve landscape connectivity, and to provide scientific basis for landscape pattern optimization and ecological red line protection in Xinfeng County. 【Method】 Taking Xinfeng County, Jiangxi Provinceas as the object, an ecological risk index was constructed based on landscape pattern to assess the ecological risk level, combined with the minimum cumulative resistance model (MCR) and landscape connectivity analysis, the ecological sources were identified and the general,important corridors were distinguished, and the county potential ecological network was constructed with Xinfeng County as the case. 【Result】 The ecological risk of urban construction and cultivated concentration area was relatively high, while the forest cover area was relatively low; the potential ecological network was consisted by 30 ecological sources, 67 ecological corridors and 25 ecological nodes. Important ecological corridors play a key role in the communication and connection of ecological patches in the east-west and north-south directions, and general ecological corridors connect multiple adjacent and scattered ecological sources together in Xinfeng County. 【Conclusion】 Landscape connectivity analysis can be used to determine not only patch importance but also corridor importance. The combination of ecological risk assessments and ecological network construction strengthens the integrity and reliability of county ecological network.

Key words: landscape ecological risk, ecological network, minimum cumulative resistance model (MCR), landscape connectivity

CLC Number:

S731.2

YU Ying, MENG Jinghui, SONG Zengming, XU Lu. Construction of ecological network in Xinfeng based on MCR model and landscape connectivity[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(4): 226-234.

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阻力因子 resistance factor	分级范围/m classification index	阻力值(RV) resistance value	权重 weight
海拔 elevation	<300	5
	[300,400)	30
	[400,600)	60	0.2
	[600,800)	80
	≥800	100
坡度 slope	<5°	1
	[5°,15°)	10
	[15°,25°)	50	0.2
	[25°,35°)	80
	≥35°	100
生态风险指数 ERI	[0.053 5,0.074 5)	10
	[0.074 5,0.087 2)	30
	[0.087 2,0.098 9)	50	0.6
	[0.098 9,0.110 9)	80
	[0.110 9,0.143 6)	100

风险等级区 risk level area	生态风险指数范围 range of ERI	面积/hm² area	比例/% proportion
低生态风险区 low ecological risk area	[0.053 5,0.074 5)	43 937.08	15.33
较低生态风险区 lower ecological risk area	[0.074 5,0.087 2)	69 396.60	24.21
中等生态风险区 medium ecological risk area	[0.087 2,0.098 9)	58 969.25	20.57
较高生态风险区 higher ecological risk area	[0.098 9,0.110 9)	78 855.47	27.51
高生态风险区 high ecological risk area	[0.110 9,0.143 6)	35 496.37	12.38
总计total	—	286 654.78	100.00

序号No.	长度/m length	dPC_sum	排名rank
1	34 691.00	271.73	1
2	35 383.71	269.97	2
3	27 659.31	143.25	3
4	29 928.58	131.74	4
5	25 121.15	125.33	5
6	16 938.89	124.92	6
7	26 932.42	118.57	7
8	24 515.94	108.01	8
9	17 740.42	90.21	9
10	17 611.16	72.76	10

Construction of ecological network in Xinfeng based on MCR model and landscape connectivity

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[2]	TANG Xiaolan, BAO Wenyuan, JIA Yanyan, LIU Debao. Study on ancient village and town landscape ecological risk in Taihu Scenic Area [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2018, 42(02): 105-112.
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