基于InVEST模型的共和县生境质量时空变化及驱动因素

doi:10.13866/j.azr.2024.02.14

Abstract

Abstract:

In the context of Gonghe County’s role as a pivotal node in Lanxi urban agglomeration and its position as a representative desert area within the new urbanized framework, maintaining a delicate balance between economic and ecologic development is crucial. This balance holds great significance for China in advancing the new development paradigm and implementing the Sustainable Development Agenda’s Innovation Demonstration Zone in Hainan Prefecture. Based on the land use data of 2000, 2010, and 2020, this study utilizes the InVEST model to explore spatial and temporal distribution and habitat quality dynamics in Republican County from 2000 to 2020. Additionally, it investigates influencing factors and their effects on habitat quality using geographic probes and GWR methods. Key results are as follows: (1) Overall habitat quality in Republican County showed an upward trend from 2000 to 2020, with mean values of 0.612, 0.626, and 0.627, respectively. Regional disparities in the spatial distribution of habitat quality were evident, portraying a high-to-low spatial pattern from north to south. (2) Mean annual temperature (TEM) and normalized vegetation index (NDVI) were the main driving factors impacting habitat quality in Gonghe County. The interaction between these factors had a greater influence on spatial differentiation than a single factor, with TEM interacting strongly with Shannon’s evenness index (SHEI) and Shannon’s diversity index (SHDI). (3) The GWR model quantified different driving characteristics and strengths of each driver on habitat quality at the spatial level. TEM exhibited a negative impact on habitat quality, primarily concentrated in the republic’s northern and eastern areas. Gross domestic product (GDP) positively influenced habitat quality, showing a 30% increase compared to 2000, while the photovoltaic system at Tala Shoal promoted synergistic eco-industry development in Gonghe County. This study’s findings offer a scientific basis for decision-making processes aimed at promoting local economic construction and ecological protection in arid areas.

Key words: InVEST model, habitat quality, geographic probe, geographically weighted regression (GWR), Gonghe County, Qinghai Province

YAN Li, CAO Guangchao, KANG Ligang, LIU Menglin, YE Deli. Analysis of spatial and temporal changes in habitat quality and driving factors in Gonghe County using the InVEST model[J].Arid Zone Research, 2024, 41(2): 314-325.

Figures/Tables 9

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威胁因子	最大影响距离/m	权重	空间衰减方式
耕地	4	0.7	线性衰减
城镇用地	8	1	指数衰减
农村居民点	5	0.6	指数衰减
其他建设用地	8	0.4	指数衰减
未利用地	6	0.5	线性衰减

二级地类	生境适宜度	耕地	城镇用地	农村居民点	其他建设用地	未利用地
旱地	0.5	0	0.6	0.5	0.5	0.4
灌木林	0.9	0.6	0.8	0.7	0.7	0.2
疏林地	0.85	0.7	0.9	0.8	0.8	0.2
其他林地	0.9	0.7	1	0.9	0.8	0.2
高覆盖草地	0.85	0.7	0.6	0.55	0.6	0.6
中覆盖草地	0.75	0.7	0.7	0.6	0.7	0.7
低覆盖草地	0.7	0.7	0.8	0.7	0.8	0.8
河渠	1	0.65	0.85	0.7	0.5	0.3
湖泊	1	0.7	0.85	0.7	0.5	0.3
水库坑塘	0.7	0.7	0.85	0.7	0.5	0.3
滩地	0.8	0.7	0.7	0.2	0.5	0.3
城镇用地	0	0.1	0	0	0.2	0.1
农村居民点	0.5	0.1	0	0	0.6	0.1
其他建设用地	0.2	0.1	0.1	0.1	0	0
沙地	0.3	0.2	0.1	0.1	0.5	0
戈壁	0.3	0.1	0.1	0.1	0.5	0
盐碱地	0.3	0.1	0.7	0.7	0.4	0
沼泽地	0.8	0.7	0.8	0.7	0.4	0
裸地	0.3	0.5	0.5	0.4	0.4	0
裸岩石质地	0.3	0.1	0.2	0.2	0.4	0
其他	0.3	0	0	0	0.2	0

	生境类型				2010年
	生境类型	Ⅰ级	Ⅱ级	Ⅲ级	Ⅳ级	Ⅴ级	总计/km²	面积占比/%
	Ⅰ级	365.38	59.26	15.89	11.09	1.86	453.49	2.63
	Ⅱ 级	48.97	4230.38	281.82	185.98	22.21	4769.37	27.64
2000年	Ⅲ 级	2.79	61.37	2270.25	371.06	2.19	2707.67	15.69
	Ⅳ 级	1.28	24.47	61.68	4706.20	474.66	5268.28	30.54
	Ⅴ 级	0.00	4.78	10.18	87.24	3951.26	4053.46	23.50
	总计/km²	418.43	4380.27	2639.81	5361.57	4452.19	17252.28
	面积占比/%	2.43	25.39	15.30	31.08	25.81
	面积增减/km²	-35.06	-389.10	-67.86	93.29	398.72

	生境类型				2020年
	生境类型	Ⅰ级	Ⅱ级	Ⅲ级	Ⅳ级	Ⅴ级	总计/km²	面积占比/%
	Ⅰ级	363.96	51.02	2.33	1.12	0.00	418.43	2.43
	Ⅱ 级	20.46	4248.27	69.83	31.63	10.08	4380.27	25.39
2010年	Ⅲ 级	7.45	42.00	2525.07	63.45	1.85	2639.81	15.30
	Ⅳ 级	16.40	18.67	25.91	5235.35	65.23	5361.57	31.08
	Ⅴ 级	1.87	2.78	1.26	44.45	4401.83	4452.19	25.81
	总计/km²	410.14	4362.74	2624.40	5376.00	4479.00	17252.28
	面积占比/%	2.38	25.29	15.21	31.16	25.96
	面积增减/km²	-8.29	-17.53	-15.42	14.43	26.81

Analysis of spatial and temporal changes in habitat quality and driving factors in Gonghe County using the InVEST model

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