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Article

Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China

1
College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China
2
College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Land 2022, 11(1), 127; https://doi.org/10.3390/land11010127
Submission received: 10 December 2021 / Revised: 5 January 2022 / Accepted: 10 January 2022 / Published: 13 January 2022

Abstract

China has set up ecological protection and high-quality development of the Yellow River Basin as its national strategy. However, the fragile natural ecosystem and intensive human disturbances pose challenges to it. This study evaluates habitat quality change and analyzes its drivers in a representative county of this region, aiming to provide scientific basis for ecological protection and sustainable development. We took Liulin, a representative county of middle Yellow River Basin as the study area and evaluated the spatiotemporal variation of habitat quality from 2000 to 2020 with the InVEST model. Further, the influencing factors of habitat quality pattern were explored using GeoDetector, and their gradient ranges dominating the habitat quality change were determined by gradient analysis. The results showed that: (1) Areas of low and medium-low habitat quality grades were distributed interactively in the whole county; medium grade areas were scattered in the northeast and southwest parts of the county; and medium-high and high grades area were distributed sporadically along the Yellow River and its branches. (2) Habitat quality of the county almost unchanged from 2000 to 2010. However, from 2010 to 2020, with the rapid expansion of construction land (increased by 9.62 times), the area proportion of medium, medium-high, and high habitat quality grades decreased from 7.01% to 5.31%, while that of low and medium-low habitat quality grades increased from 92.99% to 94.69%. (3) The habitat quality was influenced by multiple natural-human factors. The main influencing factor was land use, followed by elevation. (4) Most changes of habitat quality occurred in areas with lower elevation, gentler slope, and higher vegetation coverage, which were affected by intensive human activities. These results suggest that in future land use policy making and the construction land expansion in Liulin County should be restricted, and differentiated ecological protection and restoration strategies should be implemented in areas with different habitat quality.
Keywords: middle reaches of Yellow River; loess hilly and gully area; habitat quality; influencing factors; Liulin County middle reaches of Yellow River; loess hilly and gully area; habitat quality; influencing factors; Liulin County

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MDPI and ACS Style

Zhang, X.; Lyu, C.; Fan, X.; Bi, R.; Xia, L.; Xu, C.; Sun, B.; Li, T.; Jiang, C. Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China. Land 2022, 11, 127. https://doi.org/10.3390/land11010127

AMA Style

Zhang X, Lyu C, Fan X, Bi R, Xia L, Xu C, Sun B, Li T, Jiang C. Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China. Land. 2022; 11(1):127. https://doi.org/10.3390/land11010127

Chicago/Turabian Style

Zhang, Xu, Chunjuan Lyu, Xiang Fan, Rutian Bi, Lu Xia, Caicai Xu, Bo Sun, Tao Li, and Chenggang Jiang. 2022. "Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China" Land 11, no. 1: 127. https://doi.org/10.3390/land11010127

APA Style

Zhang, X., Lyu, C., Fan, X., Bi, R., Xia, L., Xu, C., Sun, B., Li, T., & Jiang, C. (2022). Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China. Land, 11(1), 127. https://doi.org/10.3390/land11010127

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