Variation and multi-scenario simulation of habitat quality in the Gonghe Basin， China

doi:10.7522/j.issn.1000-694X.2024.00138

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (2): 29-36.DOI: 10.7522/j.issn.1000-694X.2024.00138

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Variation and multi-scenario simulation of habitat quality in the Gonghe Basin， China

Hong Jia¹(), Jianpeng Zhang², Lianyou Liu¹, Jifu Liu¹(), Siqi Yang³

^1.Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education / MOE Engineering Research Center of Desertification and Blown-Sand Control / Faculty of Geographical Science，Beijing Normal University，Beijing 100875，China
^2.School of Economics and Management，Inner Mongolia University，Hohhot 010021，China
^3.MOE Key Laboratory of Groundwater Circulation and Environmental Evolution，China University of Geosciences （Beijing），Beijing 100083，China

Received:2024-07-10 Revised:2024-09-25 Online:2025-03-20 Published:2025-03-26
Contact: Jifu Liu

Abstract

Abstract:

Habitat quality was an important basis for human well-being and the realization of sustainable development. Based on the land use data in 2000， 2010 and 2020 of the Gonghe Basin， the InVEST was applied to analyze the spatiotemporal changes in habitat quality， and the PLUS model was used to predict the spatial pattern under different development scenarios in 2030， and to explore the driving factors of regional habitat quality. The results show that：（1） From 2000 to 2020， the main land use types in the Gonghe Basin were grassland and unused land， with an overall increase in grassland area and a significant decrease in unused land. The spatial distribution pattern was characterized as low in the central part and high around of habitat quality， with a trend of increasing and then decreasing over the past 20 years. （2） The habitat quality index under the natural growth， ecological protection， and urban expansion scenarios in 2030 was 0.5332， 0.5369， and 0.5309， respectively. Under the ecological protection scenario， the area of forest land and grasslands was larger， which was more conducive to the improvement of habitat quality in the study area. （3） Land use was the dominant factor of changes in habitat quality， followed by soil type and NDVI. The expansion of construction land was the main reason for the decline in regional habitat quality over the past 10 years. The results of the study can provide a scientific basis for the ecological protection and sustainable utilization of land resources in the Gonghe Basin.

Key words: land use, habitat quality, InVEST model, PLUS model, multi-scenario simulation, Gonghe Basin

CLC Number:

X826

Hong Jia, Jianpeng Zhang, Lianyou Liu, Jifu Liu, Siqi Yang. Variation and multi-scenario simulation of habitat quality in the Gonghe Basin， China[J]. Journal of Desert Research, 2025, 45(2): 29-36.

Figures/Tables 10

References 34

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数据类型	数据名称	空间分辨率/m	来源
土地利用	2000—2020年土地利用数据	30	中国科学院资源环境科学数据平台(http://www.resdc.cn)
自然因子	DEM数据(海拔、坡度)	30	地理空间数据云(http://www.gscloud.cn)
	年平均气温（气温）	30	中国气象数据网(http://data.cma.cn)
	年降水量（降水）
	年平均风速（风速）
	土壤类型	1 000	世界土壤数据库(HWSD V1.2, http://www.fao.org)
	NDVI	250	MOD13Q1
社会因子	人口	1 000	中国科学院资源环境科学与数据中心（http://www.resdc.cn）
	GDP、夜间灯光数据	1 000	中国科学院资源环境科学与数据中心(http://www.resdc.cn)
	道路、居民点数据	1 000	全国地理信息资源目录服务系统(https:www.openstreetmap.org/)

数据类型	数据名称	空间分辨率/m	来源
土地利用	2000—2020年土地利用数据	30	中国科学院资源环境科学数据平台(http://www.resdc.cn)
自然因子	DEM数据(海拔、坡度)	30	地理空间数据云(http://www.gscloud.cn)
	年平均气温（气温）	30	中国气象数据网(http://data.cma.cn)
	年降水量（降水）
	年平均风速（风速）
	土壤类型	1 000	世界土壤数据库(HWSD V1.2, http://www.fao.org)
	NDVI	250	MOD13Q1
社会因子	人口	1 000	中国科学院资源环境科学与数据中心（http://www.resdc.cn）
	GDP、夜间灯光数据	1 000	中国科学院资源环境科学与数据中心(http://www.resdc.cn)
	道路、居民点数据	1 000	全国地理信息资源目录服务系统(https:www.openstreetmap.org/)

威胁因子	最大影响距离/km	权重	衰退类型
耕地	4	0.5	线性
建设用地	8	0.9	指数
未利用地	5	0.2	指数

威胁因子	最大影响距离/km	权重	衰退类型
耕地	4	0.5	线性
建设用地	8	0.9	指数
未利用地	5	0.2	指数

土地利用类型	生境适宜度	耕地	建设用地	未利用地
耕地	0.5	0.3	0.4	0.3
林地	1.0	0.5	0.6	0.7
草地	0.7	0.3	0.4	0.3
水域	0.8	0.7	0.5	0.8
建设用地	0.0	0.0	0.0	0.0
未利用地	0.0	0.0	0.0	0.0

Variation and multi-scenario simulation of habitat quality in the Gonghe Basin， China

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