耦合InVEST与Geodetector模型的银川市生境质量时空演变特征及影响因子研究

doi:10.12118/j.issn.1000-6060.2023.563

Abstract

Abstract:

As an essential water source conservation area and a fundamental national ecological functional area in the Yellow River Basin, Yinchuan City’s habitat quality is related to regional ecological security and sustainable development. However, further research is needed on the habitat quality and influencing factors in Yinchuan City of Ningxia, China. Based on three phases of land-use data from 2000, 2010, and 2020, as well as the habitat quality module of the InVEST model, Moran’s I index, and Geodetector, habitat quality was estimated and the spatial distribution characteristics were analyzed over the past 20 years. The impact of nine influencing factors, such as elevation, slope, and vegetation coverage, etc, on habitat quality was quantified. The results showed the following: (1) Yinchuan City’s average habitat quality index in 2000, 2010, and 2020 was 0.337, 0.332, and 0.322, respectively. The habitat quality index was low and slightly decreased over the past 20 years. The magnitude and proportion of habitat quality improvement are lower than those of deterioration, and the habitat quality exhibits a spatial distribution characteristic of high in the north and south, and low in the middle. (2) Habitat quality has a strong spatial agglomeration effect in space, and Moran’s I index shows a downward trend. The degree of spatial autocorrelation of habitat quality has weakened, and agglomeration has gradually decreased. The LISA clustering map results show that the areas that have changed over the past 20 years primarily include the central and northern parts of the study area, with high-low clustering areas changing to low-low clustering areas. (3) Elevation and land-use type are the primary factors influencing habitat quality in Yinchuan City. The interplay of various influencing factors showed that the enhancement effect on habitat quality increases accordingly, primarily with a dual-factor enhancement, followed by a nonlinear enhancement. The interaction between elevation and various factors emerges as the most significant contributor. The results provide a scientific basis and support for decision-making for ecological protection and high-quality and sustainable development in Yinchuan City.

Key words: InVEST model, habitat quality, Geodetector, Yinchuan City

ZHANG Xiaodong, WU Dan, WANG Ying, ZHAO Yinxin, MA Yu, MA Yuxue, NI Hailing. Spatiotemporal evolution characteristics and influencing factors of habitat quality in Yinchuan City by coupling InVEST and Geodetector models[J].Arid Land Geography, 2024, 47(7): 1242-1251.

Figures/Tables 12

Fig. 1

Tab. 1

Tab. 2

Tab. 3

Tab. 4

Fig. 2

Fig. 3

Tab. 5

Tab. 6

Fig. 4

Fig. 5

Fig. 6

References 25

[1]	Dai L, Li S, Lewis B J, et al. The influence of land use change on the spatial-temporal variability of habitat quality between 1990 and 2010 in northeast China[J]. Journal of Forestry Research, 2019, 30(6): 2227-2236.
[2]	Li Y N, Duo L H, Zhang M, et al. Habitat quality assessment of mining cities based on InVEST model: A case study of Yanshan County, Jiangxi Province[J]. International Journal of Coal Science & Technology, 2022, 9(2): 28, doi: 10.1007/s40789-022-00498-w.
[3]	Hall L S, Krausman P R, Morrison M L. The habitat concept and a plea for standard technology[J]. Wildlife Society Bulletin, 1997, 25(1): 173-182.
[4]	吴健生, 曹祺文, 石淑芹, 等. 基于土地利用变化的京津冀生境质量时空演变[J]. 应用生态学报, 2015, 26(11): 3457-3466.
	[Wu Jiansheng, Cao Qiwen, Shi Shuqin, et al. Spatio-temporal variability of habitat quality in Beijing-Tianjin-Hebei area based on land use change[J]. Chinese Journal of Applied Ecology, 2015, 26(11): 3457-3466.] pmid: 26915203
[5]	郑贱成, 谢炳庚, 游细斌. 基于土地利用变化的广东省生境质量时空演变特征[J]. 生态学报, 2022, 42(17): 6997-7010.
	[Zheng Jiancheng, Xie Binggeng, You Xibin. Spatio-temporal characteristics of habitat quality based on land-use changes in Guangdong Province[J]. Acta Ecologica Sinica, 2022, 42(17): 6997-7010.]
[6]	如克亚·热合曼, 阿里木江·卡斯木, 哈力木拉提·阿布来提, 等. 基于InVEST模型的天山北坡城市群生境质量时空演化研究[J]. 生态与农村环境学报, 2022, 38(9): 1112-1121.
	[Reheman Rukeya, Kasim Alim, Ablat Halmurat, et al. Research on the temporal and spatial evolution of habitat quality in urban agglomeration on the northern slope of Tianshan Mountains based on InVEST model[J]. Journal of Ecology and Rural Environment, 2022, 38(9): 1112-1121.]
[7]	提杨, 庄鸿飞, 陈敏豪, 等. 天津市自然保护地与区域生境质量的时空演变格局[J]. 生态学报, 2023, 43(7): 2770-2780.
	[Ti Yang, Zhuang Hongfei, Chen Minhao, et al. Spatio-temporal evolution pattern of protected areas and regional habitat quality in Tianjin[J]. Acta Ecologica Sinica, 2023, 43(7): 2770-2780.]
[8]	Sherrouse B C, Semmens D J, Clement J M. An application of social values for ecosystem services (SolVES) to three national forests in Colorado and Wyoming[J]. Ecological Indicators, 2014, 36: 68-79.
[9]	粟一帆, 李卫明, 李金京, 等. 桥边河大型底栖动物生境适宜性[J]. 生态学报, 2020, 40(16): 5844-5854.
	[Su Yifan, Li Weiming, Li Jinjing, et al. Habitat suitability of macroinvertebrates: A case study in Qiaobian River, a tributary of Yangtze River, China[J]. Acta Ecologica Sinica, 2020, 40(16): 5844-5854.]
[10]	赵庆建, 吴晓珍. 基于InVEST模型的岷江流域土地利用变化对生境质量的影响研究[J]. 生态科学, 2022, 41(6): 1-10.
	[Zhao Qingjian, Wu Xiaozhen. Research on the impact of land use change on habitat quality in Minjiang River Basin based on InVEST model[J]. Ecological Science, 2022, 41(6): 1-10.]
[11]	刘晓娟, 黎夏, 梁迅, 等. 基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟[J]. 热带地理, 2019, 39(3): 397-409.
	[Liu Xiaojuan, Li Xia, Liang Xun, et al. Simulating the change of terrestrial carbon storage in China based on the FLUS-InVEST model[J]. Tropical Geography, 2019, 39(3): 397-409.] doi: 10.13284/j.cnki.rddl.003138
[12]	王琦琨, 武玮, 杨雪琪, 等. 陕西省生境质量时空演变及驱动机制分析[J]. 干旱区研究, 2022, 39(5): 1684-1694.
	[Wang Qikun, Wu Wei, Yang Xueqi, et al. Spatial-temporal changes and driving factors of habitat quality in Shaanxi Province during the past 20 years[J]. Arid Zone Research, 2022, 39(5): 1684-1694.]
[13]	谢怡凡, 姚顺波, 邓元杰, 等. 延安市退耕还林(草)工程对生境质量时空格局的影响[J]. 中国生态农业学报, 2020, 28(4): 575-586.
	[Xie Yifan, Yao Shunbo, Deng Yuanjie, et al. Impact of the ‘Grain for Green’ project on the spatial and temporal pattern of habitat quality in Yan’an City, China[J]. Chinese Journal of Eco-Agriculture, 2020, 28(4): 575-586.]
[14]	王鹏, 秦思彤, 胡慧蓉. 近30 a拉萨河流域土地利用变化和生境质量的时空演变特征[J]. 干旱区研究, 2023, 40(3): 492-503.
	[Wang Peng, Qin Sitong, Hu Huirong. Spatial-temporal evolution characteristics of land use change and habitat quality in the Lhasa River Basin over the past three decades[J]. Arid Zone Research, 2023, 40(3): 492-503.]
[15]	杨映, 胡理乐. 北京市房山区自然保护地生境质量评估[J]. 西部林业科学, 2022, 51(4): 80-86.
	[Yang Ying, Hu Lile. Habitat quality assessment of nature protected areas in Fangshan District in Beijing[J]. Journal of West China Forestry Science, 2022, 51(4): 80-86.]
[16]	张晓东, 刘乃静, 赵银鑫, 等. 银川市2000—2020年土地利用时空变化特征及预测[J]. 科学技术与工程, 2021, 21(24): 10156-10164.
	[Zhang Xiaodong, Liu Naijing, Zhao Yinxin, et al. Spatial and temporal variability characteristics and prediction of land use in Yinchuan from 2000 to 2020[J]. Science Technology and Engineering, 2021, 21(24): 10156-10164.]
[17]	程静, 王鹏, 陈红翔, 等. 渭河流域生境质量时空演变及其地形梯度效应与影响因素[J]. 干旱区地理, 2023, 46(3): 481-491.
	[Cheng Jing, Wang Peng, Chen Hongxiang, et al. Spatiotemporal evolution of habitat quality in the Weihe River Basin and its topographic gradient effects and influencing factors[J]. Arid Land Geography, 2023, 46(3): 481-491.]
[18]	张海涛, 李加林, 田鹏, 等. 基于土地利用变化的东海区大陆海岸带生境质量时空演变研究[J]. 生态学报, 2023, 43(3): 937-947.
	[Zhang Haitao, Li Jialin, Tian Peng, et al. Spatio-temporal evolution of habitat quality in the East China Sea continental coastal zone based on land use changes[J]. Acta Ecologica Sinica, 2023, 43(3): 937-947.]
[19]	陈慧敏, 赵宇, 付晓, 等. 西辽河上游生境质量时空演变特征与影响机制[J]. 生态学报, 2023, 43(3): 948-961.
	[Chen Huimin, Zhao Yu, Fu Xiao, et al. Characteristics of spatio-temporal evolution and influence mechanism of habitat quality in the upper reaches of the West Liaohe River[J]. Acta Ecologica Sinica, 2023, 43(3): 948-961.]
[20]	王晶, 胡一, 李鹏, 等. 治沟造地背景下延安市生境质量时空演变特征[J]. 生态学报, 2022, 42(23): 9808-9819.
	[Wang Jing, Hu Yi, Li Peng, et al. Spatial and temporal variations of habitat quality under the background of gully control and land consolidation in Yan’an, China[J]. Acta Ecologica Sinica, 2022, 42(23): 9808-9819.]
[21]	陈实, 黄银兰, 金云翔. 退耕还林(草)工程实施前后黄河中游生境质量时空变化分析[J]. 干旱区研究, 2023, 40(3): 456-468.
	[Chen Shi, Huang Yinlan, Jin Yunxiang. Spatiotemporal changes of habitat quality before and after the implementation of Grain for Green Project in the middle reaches of the Yellow River[J]. Arid Zone Research, 2023, 40(3): 456-468.]
[22]	左昕弘, 赖佳鑫, 刘峰, 等. 基于地统计学和空间自相关的土壤有机质空间异质性分析及分区:土地整治视角[J]. 中国农业资源与区划, 2022, 43(3): 240-252.
	[Zuo Xinhong, Lai Jiaxin, Liu Feng, et al. Spatial heterogeneity and zoning of soil organic matter based on geostatistics and spatial autocorrelation: A perspective from land consolidation[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2022, 43(3): 240-252.]
[23]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010
[24]	王波. 银川市生态系统服务价值时空演变及预测研究[D]. 兰州: 兰州大学, 2022.
	[Wang Bo. Study on spatiotemporal evolution of ecosystem service value and prediction in Yinchuan City[D]. Lanzhou: Lanzhou University, 2022.]
[25]	张晓东, 赵志鹏, 赵银鑫, 等. 银川市景观生态风险评价与生态安全格局优化构建[J]. 干旱区地理, 2022, 45(5): 1626-1636.
	[Zhang Xiaodong, Zhao Zhipeng, Zhao Yinxin, et al. Landscape ecological risk assessment and ecological security pattern optimization construction in Yinchuan City[J]. Arid Land Geography, 2022, 45(5): 1626-1636.]

数据类型	数据来源	数据说明
土地利用数据	中国科学院资源环境科学数据中心（http://www.resdc.cn），空间分辨率为30 m	土地利用类型主要依据全国《土地利用现状分类》（GB/T 2010—2017），并结合研究区生态环境现状将其分为耕地、林地、草地、水域、建设用地及未利用地6类，用于银川市生境质量评估和生境质量影响因子分析
高程	地理空间数据云（https://www.gscloud.cn）	用于生境质量影响因子分析
归一化植被指数	地理空间数据云（https://www.gscloud.cn）	用于生境质量影响因子分析
坡度	由DEM数据计算获得	用于生境质量影响因子分析
气温	国家地球系统科学数据中心（https://www.geodata.cn）	用于生境质量影响因子分析
降水	国家地球系统科学数据中心（https://www.geodata.cn）	用于生境质量影响因子分析
人口密度	Worldpop网站（http://www.worldpop.org）	用于生境质量影响因子分析
地区生产总值	中国科学院资源环境科学数据中心（http://www.resdc.cn）	用于生境质量影响因子分析
土地利用程度	文献[16]	用于生境质量影响因子分析

威胁因子	最大影响距离/km	权重	衰减线性相关性
耕地	4	0.7	线性
城镇用地	8	1.0	指数
农村居民点	7	0.8	指数
其他建设用地	6	0.6	线性
未利用地	4	0.3	线性

地类编码	类型	生境适宜度	威胁因子
地类编码	类型	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
11	水田	0.40	0.30	0.70	0.60	0.60	0.20
12	旱地	0.30	0.30	0.60	0.50	0.50	0.20
21	有林地	1.00	0.70	0.80	0.80	0.80	0.30
22	灌木林	0.90	0.60	0.75	0.70	0.70	0.30
23	疏林地	0.80	0.60	0.70	0.70	0.70	0.20
24	其他林地	0.60	0.50	0.65	0.65	0.70	0.20
31	高覆盖草地	0.90	0.60	0.60	0.60	0.65	0.20
32	中覆盖草地	0.70	0.55	0.55	0.55	0.60	0.10
33	低覆盖草地	0.60	0.50	0.50	0.50	0.60	0.10
41	河渠	0.90	0.50	0.70	0.60	0.50	0.30
42	湖泊	0.90	0.50	0.70	0.60	0.50	0.30
43	水库坑塘	0.80	0.50	0.60	0.50	0.50	0.20
46	滩地	0.60	0.20	0.20	0.20	0.20	0.20
51	城镇用地	0.00	0.00	0.00	0.00	0.00	0.00
52	农村居民点	0.00	0.00	0.00	0.00	0.00	0.00
53	其他建设用地	0.00	0.00	0.00	0.00	0.00	0.00
61	沙地	0.00	0.00	0.00	0.00	0.00	0.00
62	戈壁	0.00	0.00	0.00	0.00	0.00	0.00
63	盐碱地	0.00	0.00	0.00	0.00	0.00	0.00
64	沼泽地	0.60	0.40	0.60	0.50	0.30	0.20
65	裸土地	0.00	0.00	0.00	0.00	0.00	0.00
66	裸岩石砾地	0.00	0.00	0.00	0.00	0.00	0.00

生境质量等级	2000年		2010年		2020年
生境质量等级	面积/km²	比例/%	面积/km²	比例/%	面积/km²	比例/%
低	1510.64	21.73	1623.91	23.36	1930.70	27.78
较低	2647.92	38.09	2535.11	36.47	2377.61	34.20
中	247.88	3.57	217.47	3.13	244.56	3.52
较高	2004.25	28.83	2016.79	29.01	1869.37	26.89
高	540.64	7.78	558.05	8.03	529.09	7.61
总计	6951.33	100.00	6951.33	100.00	6951.33	100.00

等级	级差	2000—2010年		2010—2020年		2000—2020年
等级	级差	面积/km²	比例/%	面积/km²	比例/%	面积/km²	比例/%
明显降低	-4、-3	55.83	0.80	115.27	1.66	188.23	2.71
轻微降低	-2、-1	440.35	6.33	522.79	7.52	824.97	11.87
无明显变化	0	6120.54	88.06	6117.17	88.00	5486.23	78.92
轻微上升	1、2	267.27	3.84	163.70	2.35	365.16	5.25
明显上升	3、4	67.35	0.97	32.40	0.47	86.74	1.25

Spatiotemporal evolution characteristics and influencing factors of habitat quality in Yinchuan City by coupling InVEST and Geodetector models

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 25

Related Articles 15

Metrics

Comments

Recommended 0

[1]	ZHAO Xuechun, JU Chunyan. Coupling coordination relationship between park green spaces and urban functional spaces and its influencing factors: A case of Urumqi City [J]. Arid Land Geography, 2024, 47(5): 898-908.
[2]	FU Wei, XIA Wenhao, FAN Tongsheng, ZOU Zhen, HUO Yu. Scenario projection analysis of ecosystem carbon stocks in the Tarim River Basin [J]. Arid Land Geography, 2024, 47(4): 634-647.
[3]	LU Dongyan, ZHU Xiufang, TANG Mingxiu, GUO Chunhua, LIU Tingting. Assessment of drought risk changes in China under different temperature rise scenarios [J]. Arid Land Geography, 2024, 47(3): 369-379.
[4]	AN Wenju, YU Yifan, HAO Shanshan, WANG Yingdi, LI Xiaobing, MAI Xudong. Evolution and response analysis of habitat quality in more sediments and coarse sediments region of northern Shaanxi based on land use change [J]. Arid Land Geography, 2024, 47(3): 474-484.
[5]	SUI Lu, YAN Zhiming, LI Kaifang, HE Peien, MA Yingjie, ZHANG Rucui. Prediction of habitat quality in the Ili River Valley under the influence of human activities and climate change [J]. Arid Land Geography, 2024, 47(1): 104-116.
[6]	YANG Yu, SONG Futie, ZHANG Jie. Spatial structure characteristics and influencing factors of financial network of China based on geodetectors [J]. Arid Land Geography, 2023, 46(9): 1524-1535.
[7]	YUAN Hongwei, CAI Jun, ZHANG Lei. Temporal and spatial changes of human activities and habitat quality in national key ecological function areas and their spatial effects [J]. Arid Land Geography, 2023, 46(6): 934-948.
[8]	KONG Deming, HAO Lisha, XIA Siyou, LI Hongbo. Food security in the argo-pastoral ecotone of northern China from the perspective of grain yield [J]. Arid Land Geography, 2023, 46(5): 782-792.
[9]	LUO Jiayan, ZHANG Jing, XU Mengran, MO Yu, TONG Liga. Vegetation dynamic and its driving force and multi-scenario prediction in Otindag Sandy Land [J]. Arid Land Geography, 2023, 46(4): 614-624.
[10]	YANG Yuhuan,HE Jianxiong,ZHANG Xinhong,RUI Yang. Spatial differentiation characteristics and influencing texture of the coupling coordinated development of agro-culture-tourism in China [J]. Arid Land Geography, 2023, 46(3): 448-459.
[11]	CHENG Jing,WANG Peng,CHEN Hongxiang,HAN Yonggui. Spatiotemporal evolution of habitat quality in the Weihe River Basin and its topographic gradient effects and influencing factors [J]. Arid Land Geography, 2023, 46(3): 481-491.
[12]	BAO Yubin,HUANG Tao,WANG Yaozong,HU Sheng,LYU Lintao,TANG Yijuan,GU Jisheng. Zoning for ecological conservation and restoration in Liupan Mountain area based on ecological importance and sensitivity evaluation [J]. Arid Land Geography, 2023, 46(11): 1778-1791.
[13]	ZHAI Yuxin, ZHANG Feiyun, MA Lina. Evolution and prediction of habitat quality in the Bosten Lake Basin based on production-living-ecological space [J]. Arid Land Geography, 2023, 46(11): 1792-1802.
[14]	ZHANG Xiaodong,ZHAO Zhipeng,ZHAO Yinxin,GAO Xuehua,MA Yuxue,LIU Naijing,JI Weibo. Landscape ecological risk assessment and ecological security pattern optimization construction in Yinchuan City [J]. Arid Land Geography, 2022, 45(5): 1626-1636.
[15]	HU Feng,ZHANG Yan,GUO Yu,ZHANG Panpan,LYU Shuai,ZHANG Changchun. Spatial and temporal changes in land use and habitat quality in the Weihe River Basin based on the PLUS and InVEST models and predictions [J]. Arid Land Geography, 2022, 45(4): 1125-1136.

生境质量等级		2000年
生境质量等级		低	较低	中	较高	高
2020年	低	84.03	17.34	6.61	7.87	5.17
	较低	9.34	77.67	9.70	2.94	0.45
	中	1.07	0.77	67.75	6.37	1.28
	较高	4.33	4.12	14.50	80.88	7.00
	高	1.23	0.10	1.44	1.94	86.10