基于生态环境质量评价的酒泉市生态空间网络优化

doi:10.12302/j.issn.1000-2006.202204070

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南京林业大学学报（自然科学版） ›› 2024, Vol. 48 ›› Issue (2): 199-208.doi: 10.12302/j.issn.1000-2006.202204070

基于生态环境质量评价的酒泉市生态空间网络优化

仇实(), 于强^*(), 刘泓君, 王慧媛, 李松, 岳德鹏

北京林业大学林学院,北京 100083

收稿日期:2022-04-29 修回日期:2022-06-08 出版日期:2024-03-30 发布日期:2024-04-08
通讯作者: *于强(yuqiang@bjfu.edu.cn),副教授。
作者简介:仇实(240285033@qq.com)。
基金资助:
国家自然科学青年基金项目(42001211)

The optimization of ecological spatial network in Jiuquan City based on the evaluation of ecological environment quality

QIU Shi(), YU Qiang^*(), LIU Hongjun, WANG Huiyuan, LI Song, YUE Depeng

College of Forestry, Beijing Forestry University, Beijing 100083, China

Received:2022-04-29 Revised:2022-06-08 Online:2024-03-30 Published:2024-04-08

摘要/Abstract

摘要：

【目的】构建并优化酒泉地区生态空间网络,提升生态环境质量,发挥区域生态作用,防止沙漠扩张。【方法】将遥感生态指数(RSEI)与生态空间网络结合,评估酒泉地区景观格局空间,基于复杂网络理论确定薄弱生态源地,提出优化策略。【结果】 ①酒泉市RSEI呈现北部地区低,中南部地区高的空间格局。②酒泉市潜在生态空间网络由332个生态节点,656条生态廊道组成,依照RSEI最低的区域进行增边优化,模拟增边242条,增加生态踏脚石9个。③增边优化后,网络的节点鲁棒性和连接鲁棒性有明显的提升,网络边的鲁棒性略有提升但不明显。【结论】对生态环境质量弱节点采取增边以及增加踏脚石的优化策略,可使酒泉市生态空间网络的稳定性和生态恢复能力得到一定程度的提升。针对新增生态廊道开展建设,增强源地间的连接,有利于发挥区域生态效益,为酒泉市未来生态工程建设提供策略。

关键词: 遥感生态指数(RSEI), 生态质量评价, 生态空间网络, 增边优化, 鲁棒性

Abstract:

【Objective】 The objective of this study is to construct and optimize the ecological spatial network in Jiuquan City, aiming to enhance the quality of the ecological environment, harness regional ecological functions, and prevent desert expansion. 【Method】 By integrating remote sensing ecological index (RSEI) with the ecological spatial network, this study assessed the spatial pattern of landscape in Jiuquan City. By using complex network theory, the study identified weak ecological source areas and proposed optimization strategies. 【Result】 (1) The RSEI exhibited a spatial pattern in the Jiuquan City, with low values in the northern region and high values in the central and southern regions. (2) The potential ecological spatial network in Jiuquan City comprised 332 ecological nodes and 656 ecological corridors. Through the simulation of additional edges based on the region with the lowest RSEI, 242 edges were added, resulting in the inclusion of nine ecological stepping stones. (3) After the addition of edges, there was a noticeable improvement in the robustness of network nodes and connections, while the improvement in edge robustness was slight and not significant. 【Conclusion】 The optimization strategies of adding edges and stepping stones to weak ecological areas can enhance the stability and ecological restoration capacity of the ecological spatial network in Jiuquan City. The construction of new ecological corridors to enhance connectivity between source areas would facilitate regional ecological benefits and provide strategies for future ecological engineering projects in Jiuquan City.

Key words: remote sensing ecological index(RSEI), ecological quality evaluation, ecological spatial network, edge-increasing optimization, robustness

中图分类号:

仇实,于强,刘泓君,等. 基于生态环境质量评价的酒泉市生态空间网络优化[J]. 南京林业大学学报（自然科学版）, 2024, 48(2): 199-208.

QIU Shi, YU Qiang, LIU Hongjun, WANG Huiyuan, LI Song, YUE Depeng. The optimization of ecological spatial network in Jiuquan City based on the evaluation of ecological environment quality[J].Journal of Nanjing Forestry University (Natural Science Edition), 2024, 48(2): 199-208.DOI: 10.12302/j.issn.1000-2006.202204070.

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影响因子 impact factor	分级值 graded value	阻力值 resistance value	权重 weight	影响因子 impact factor	分级值 graded value	阻力值 resistance value	权重 weight
高程/m DEM	[798,1 573)	1		水网密度 water network density	[0,0.005)	1
	[1 573,2 359)	3			[0.005,0.014)	3
	[2 359,3 238)	5	0.11		[0.014, 0.022)	5	0.13
	[3 238,3 965)	7			[0.022,0.031)	7
	[3 965,5 820]	9			[0.031,0.048]	9
坡度/(°) slope	[0,3.05)	1		路网密度 road density	[0,4.39)	1
	[3.05,8.89)	3			[4.39,14.43)	3
	[8.89,16.76)	5	0.11		[14.43,35.35)	5	0.13
	[16.76,25.90)	7			[35.35,63.49)	7
	[25.90,64.76]	9			[63.49,91.99]	9
归一化植被指数NDVI	[-0.15,0.06)	1		居民点密度 population density	[0,0.001)	1
	[0.06,0.09)	3			[0.001,0.007)	3
	[0.09,0.13)	5	0.15		[0.007,0.019)	5	0.11
	[0.13,0.21)	7			[0.019,0.034)	7
	[0.21,0.45]	9			[0.034,0.075]	9
改进归一化水体指数MNDWI	[0.06,0.09)	1		土地利用 land use	乔木林地、草地、水体 forest, grassland, water body	1
	[0.09,0.13)	3			灌木林shrubland	3
	[0.13,0.21)	5	0.14		耕地cropland	5	0.12
	[0.21,0.45)	7			裸地bare land	7
	[0.45,0.97]	9			建筑用地building land	9

基于生态环境质量评价的酒泉市生态空间网络优化

The optimization of ecological spatial network in Jiuquan City based on the evaluation of ecological environment quality

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