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Arid Land Geography >

2023 , Vol. 46 >Issue 3: 481 - 491

DOI: https://doi.org/10.12118/j.issn.1000-6060.2022.345

Regional Development

Spatiotemporal evolution of habitat quality in the Weihe River Basin and its topographic gradient effects and influencing factors

  • Jing CHENG ,
  • Peng WANG ,
  • Hongxiang CHEN ,
  • Yonggui HAN
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  • 1. School of Politics and History, Ningxia Normal University, Guyuan 756000, Ningxia, China
    2. School of Geography and Planning, Ningxia University, Yinchuan 750021, Ningxia, China

Received date: 2022-07-08

  Revised date: 2022-09-14

  Online published: 2023-03-31

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Abstract

Habitat quality is an important basis for human well-being and regional sustainable development and has important practical significance for protecting regional biodiversity, improving regional ecosystem services, and building regional ecological security patterns. Based on the three-phase land use raster data from 2000, 2010, and 2020, this study comprehensively applied the InVEST model, topographic position index, distribution index, geographic detector, and spatial statistical analysis methods to analyze the spatiotemporal evolution characteristics and spatial distribution of habitat quality in the Weihe River Basin in China. The pattern and its topographic gradient effects and influencing factors were comprehensively analyzed. The results are as follows: (1) From 2000 to 2020, the habitat quality index of the Weihe River Basin exhibited a yearly increasing trend. The habitat quality index increased from 0.607 to 0.624, and the growth rate was 2.463%. It showed a polarized distribution pattern in space. The area of low habitat quality and high habitat quality continued to increase, whereas the area of medium and good habitat quality decreased. (2) The spatial distribution pattern of habitat quality in the Weihe River Basin was significantly affected by topographic factors, with a significant topographic gradient effect. It is extensively distributed on the topographic gradient, and its distribution index is the highest, whereas high habitat quality occupies a dominant position on the high topographic gradient. (3) From the perspective of different influencing factors, the land use type is the main reason for the spatial differentiation pattern of habitat quality in the Weihe River Basin. Influencing factors and the interaction of any two factors on the spatial differentiation of habitat quality have a greater impact than the independent effect of a single driving factor. Among them, the interactive determinants of land use type and natural factors such as rainfall, temperature, altitude, and normalized vegetation index are >0.6. The research results can provide scientific theoretical and decision support for the sustainable development of the Weihe River Basin, as well as ecological protection and high-quality development.

Key words： habitat quality; InVEST model; terrain gradient effect; influencing factors; geographic detector; Weihe River Basin

Cite this article

Jing CHENG , Peng WANG , Hongxiang CHEN , Yonggui HAN . 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 . DOI: 10.12118/j.issn.1000-6060.2022.345

References

[1] Terrado M, Sabater S, Kramer B C, et al. Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning[J]. Science of the Total Environment, 2015, 540: 63-70.
[2] Hillard E M, Nielsen C K, Groninger J W. Swamp rabbits as indicators of wildlife habitat quality in bottom land hardwood forest ecosystems[J]. Ecological Indicators, 2017, 79: 47-53, doi: 10.1016/j.ecolind.2017.03.024.
[3] 刘园, 周勇, 杜越天. 基于InVEST模型的长江中游经济带生境质量的时空分异特征及其地形梯度效应[J]. 长江流域资源与环境, 2019, 28(10): 2429-2440.
[3] [ Liu Yuan, Zhou Yong, Du Yuetian. Study on the spatio-temporal patterns of habitat quality and its terrain gradient effects of the middle of the Yangtze River economic belt based on InVEST Model[J]. Resources and Environment in the Yangtze Basin, 2019, 28(10): 2429-2440. ]
[4] 赵雪雁, 马平易, 李文青, 等. 黄土高原生态系统服务供需关系的时空变化[J]. 地理学报, 2021, 76(11): 2780-2796.
[4] [ Zhao Xueyan, Ma Pingyi, Li Wenqing, et al. Spatiotemporal changes of supply and demand relationships of ecosystem services in the Loess Plateau[J]. Acta Geographica Sinica, 2021, 76(11): 2780-2796. ]
[5] 钟莉娜, 王军. 基于InVEST模型评估土地整治对生境质量的影响[J]. 农业工程学报, 2017, 33(1): 250-255.
[5] [ Zhong Lina, Wang Jun. Evaluation on effect of land consolidation on habitat quality based on InVEST model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(1): 250-255. ]
[6] 张学儒, 周杰, 李梦梅. 基于土地利用格局重建的区域生境质量时空变化分析[J]. 地理学报, 2020, 75(1): 160-178.
[6] [ Zhang Xueru, Zhou Jie, Li Mengmei. Analysis on spatial and temporal changes of regional habitat quality based on the spatial pattern reconstruction of land use[J]. Acta Geographica Sinica, 2020, 75(1): 160-178. ]
[7] Li Q, Zhou Y, Mary A C, et al. Spatio-temporal changes in wildlife habitat quality in the middle and lower reaches of the Yangtze River from 1980 to 2100 based on the InVEST model[J]. Journal of Resources and Ecology, 2021, 12: 43-55.
[8] 陈淼, 苏晓磊, 黄慧敏, 等. 三峡库区河流生境质量评价[J]. 生态学报, 2019, 39(1): 192-201.
[8] [ Chen Miao, Su Xiaolei, Huang Huimin, et al. Assessment of river habitat quality in the Three Gorges Reservoir Region[J]. Acta Ecologica Sinica, 2019, 39(1): 192-201. ]
[9] Tang F, Fu M C, Wang L, et al. Land-use change in Changli County, China: Predicting its spatio-temporal evolution in habitat quality[J]. Ecological Indicators, 2020, 117: 106719, doi: 10.1016/j.ecolind.2020.106719.
[10] 朱增云, 阿里木江·卡斯木. 基于地理探测器的伊犁谷地生境质量时空演变及其影响因素[J]. 生态学杂志, 2020, 39(10): 3408-3420.
[10] [ Zhu Zengyun, Kasimu Alimujiang. Spatial-temporal evolution of habitat quality in Yili Valley based on geographical detector and its influencing factors[J]. Chinese Journal of Ecology, 2020, 39(10): 3408-3420. ]
[11] 贾磊, 姚顺波, 邓元杰, 等. 2000—2020年陕西秦巴山区生境质量时空演变及其地形梯度效应[J]. 长江流域资源与环境, 2022, 31(2): 398-413.
[11] [ Jia Lei, Yao Shunbo, Deng Yuanjie, et al. Temporal and spatial evolution of habitat quality and its topographic gradient effect in Qinling-Daba Mountain area, Shaanxi Province, 2000—2020[J]. Resources and Environment in the Yangtze Basin, 2022, 31(2): 398-413. ]
[12] 王军, 严有龙, 王金满, 等. 闽江流域生境质量时空演变特征与预测研究[J]. 生态学报, 2021, 41(14): 5837-5848.
[12] [ Wang Jun, Yan Youlong, Wang Jinman, et al. Temporal-spatial variation characteristics and prediction of habitat quality in Min River Basin[J]. Acta Ecologica Sinica, 2021, 41(14): 5837-5848. ]
[13] 高庆彦, 潘玉君, 刘化. 基于InVEST模型的大理州生境质量时空演化研究[J]. 生态与农村环境学报, 2021, 37(3): 402-408.
[13] [ Gao Qingyan, Pan Yujun, Liu Hua. Spatial-temporal evolution of habitat quality in the Dali Bai Autonomous Prefecture based on the InVEST model[J]. Journal of Ecology and Rural Environment, 2021, 37(3): 402-408. ]
[14] 白立敏, 冯兴华, 孙瑞丰, 等. 生境质量对城镇化的时空响应——以长春市为例[J]. 应用生态学报, 2020, 31(4): 1267-1277.
[14] [ Bai Limin, Feng Xinghua, Sun Ruifeng, et al. Spatial and temporal responses of habitat quality to urbanization: A case study of Changchun City, Jilin Province, China[J]. Chinese Journal of Applied Ecology, 2020, 31(4): 1267-1277. ]
[15] 常玉旸, 高阳, 谢臻, 等. 京津冀地区生境质量与景观格局演变及关联性[J]. 中国环境科学, 2021, 41(2): 848-859.
[15] [ Chang Yuyang, Gao Yang, Xie Zhen, et al. Spatiotemporal evolution and spatial correlation of habitat quality and landscape pattern over Beijing-Tianjin-Hebei region[J]. China Environmental Science, 2021, 41(2): 848-859. ]
[16] 徐彩仙, 巩杰, 李焱, 等. 基于地形梯度的甘肃白龙江流域典型生态系统服务分布特征[J]. 生态学报, 2020, 40(13): 4291-4301.
[16] [ Xu Caixian, Gong Jie, Li Yan, et al. Spatial distribution characteristics of typical ecosystem services based on terrain gradients of Bailongjiang watershed in Gansu[J]. Acta Ecologica Sinica, 2020, 40(13): 4291-4301. ]
[17] 徐省超, 赵雪雁, 宋晓谕. 退耕还林(草)工程对渭河流域生态系统服务的影响[J]. 应用生态学报, 2021, 32(11): 3893-3904.
[17] [ Xu Xingchao, Zhao Xueyan, Song Xiaoyu. Impacts of the returning farmland to forest (grassland) project on ecosystem services in the Weihe River Basin, China[J]. Chinese Journal of Applied Ecology, 2021, 32(11): 3893-3904. ]
[18] Yan H M, Liu F, Liu J Y, et al. Status of land use intensity in China and its impacts on land carrying capacity[J]. Journal of Geographical Sciences, 2017, 27(4): 387-402.
[19] 石小伟, 冯广京, 苏培添, 等. 大都市郊区土地利用时空演变特征与生境质量评价[J]. 农业工程学报, 2021, 37(4): 275-284.
[19] [ Shi Xiaowei, Feng Guangjing, Su Peitian, et al. Spatiotemporal evolution of land use and habitat quality assessment in the suburbs of metropolitan[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(4): 275-284. ]
[20] 张学儒, 周杰, 李梦梅. 基于土地利用格局重建的区域生境质量时空变化分析[J]. 地理学报, 2020, 75(1): 160-178.
[20] [ Zhang Xueru, Zhou Jie, Li Mengmei. Analysis on spatial and temporal changes of regional habitat quality based on the spatial pattern reconstruction of land use[J]. Acta Geographica Sinica, 2020, 75(1): 160-178. ]
[21] 赵益祯, 曹建农, 张晓栋, 等. 宝塔区土地利用的地形梯度效应与空间格局[J]. 干旱区地理, 2020, 43(5): 1307-1315.
[21] [ Zhao Yizhen, Cao Jiannong, Zhang Xiaodong, et al. Topographic gradient effect and spatial pattern of land use in Baota district[J]. Arid Land Geography, 2020, 43(5): 1307-1315. ]
[22] 周启刚, 陈丹. 重庆山地都市区土地利用地形特征分异研究[J]. 水土保持研究, 2013, 20(3): 86-91.
[22] [ Zhou Qigang, Chen Dan. Researched on the topographic differentiation of land use in Chongqing mountainous metropolitan area[J]. Research of Soil and Water Conservation, 2013, 20(3): 86-91. ]
[23] 宋戈, 王盼盼. 松嫩高平原县域土地利用空间格局地形梯度特征分析——以巴彦县为例[J]. 地理科学, 2017, 37(8): 1218-1225.
[23] [ Song Ge, Wang Panpan. Spatial pattern of land use along the terrain gradient of county in Songnen High Plain: A case study of Bayan County[J]. Scientia Geographica Sinica, 2017, 37(8): 1218-1225. ]
[24] 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.
[24] [ Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134. ]
[25] 王鹏, 王亚娟, 刘小鹏, 等. 基于景观结构的生态移民安置区生态风险评价——以宁夏红寺堡区为例[J]. 生态学报, 2018, 38(8): 2672-2682.
[25] [ Wang Peng, Wang Yajuan, Liu Xiaopeng, et al. Ecological risk assessment of an ecological migrant resettlement region based on landscape structure: A case study of Hongsibu in Ningxia[J]. Acta Ecologica Sinica, 2018, 38(8): 2672-2682. ]
[26] 郭帅, 裴艳茜, 胡胜, 等. 黄河流域植被指数对气候变化的响应及其与水沙变化的关系[J]. 水土保持通报, 2020, 40(3): 1-7.
[26] [ Guo Shuai, Pei Yanqian, Hu Sheng, et al. Response of vegetation index to climate change and their relationship with runoff-sediment change in Yellow River Basin[J]. Bulletin of Soil and Water Conservation, 2020, 40(3): 1-7. ]
[27] 程静, 王鹏, 陈红翔, 等. 半干旱区生态风险时空演变及其影响因素的地理探测——以宁夏盐池县为例[J]. 干旱区地理, 2022, 45(5): 1637-1648.
[27] [ Cheng Jing, Wang Peng, Chen Hongxiang, et al. Geographical exploration of the spatial and temporal evolution of ecological risk and its influencing factors in semi-arid regions[J]. Arid Land Geography, 2022, 45(5): 1637-1648. ]
[28] 葛美玲, 封志明. 中国人口分布的密度分级与重心曲线特征分析[J]. 地理学报, 2009, 64(2): 202-210.
[28] [ Ge Meiling, Feng Zhiming. Population distribution of China based on GIS: Classification of population densities and curve of population gravity centers[J]. Acta Geographica Sinica, 2009, 64(2): 202-210. ]
[29] 李子, 张艳芳. 基于InVEST模型的渭河流域干支流生态系统服务时空演变特征分析[J]. 水土保持学报, 2021, 35(4): 178-185.
[29] [ Li Zi, Zhang Yanfang. Spatiotemporal evolution of ecosystem services in the main and tributaries of Weihe River Basin based on InVEST model[J]. Journal of Soil and Water Conservation, 2021, 35(4): 178-185. ]
[30] 黄鑫, 程文仕, 李晓丹, 等. 甘肃省生境质量变化的图谱特征[J]. 应用生态学报, 2020, 31(9): 3131-3140.
[30] [ Huang Xin, Cheng Wenshi, Li Xiaodan, et al. Spectrum characteristics of habitat quality changes in Gansu Province, China[J]. Chinese Journal of Applied Ecology, 2020, 31(9): 3131-3140. ]
[31] Ma L B, Bo J, Li X Y, et al. Identifying key landscape pattern indices influencing the ecological security of inland river basin: The middle and lower reaches of Shule River Basin as an example[J]. Science of the Total Environment, 2019, 674: 424-438.
[32] Yang W, Jin Y W, Sun T, et al. Trade-offs among ecosystem services in coastal wetlands under the effects of reclamation activities[J]. Ecological Indicators, 2017, 92: 354-366.
[33] Brumm K J, Jonas J L, Prichard C G, et al. Land cover influences on juvenile rainbow trout diet composition and condition in Lake Michigan tributaries[J]. Ecology of Freshwater Fish, 2019, 28: 11-19.
[34] Li M Y, Zhou Y, Xiao P N, et al. Evolution of habitat quality and its topographic gradient effect in northwest Hubei Province from 2000 to 2020 based on the InVEST Model[J]. Land, 2021, 10(8): 857-882.
[35] 杨锁华, 胡守庚, 瞿诗进. 长江中游地区生态系统服务价值的地形梯度效应[J]. 应用生态学报, 2018, 29(3): 976-986.
[35] [ Yang Suohua, Hu Shougeng, Qu Shijin. Terrain gradient effect of ecosystem service value in middle reach of Yangtze River, China[J]. Chinese Journal of Applied Ecology, 2018, 29(3): 976-986. ]
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