[Spatial and Temporal Changes in Habitat Quality and Driving Forces in Typical Loess Hill and Gully Areas:A Case Study of the Zuli River Basin].

Q2 Environmental Science Huanjing Kexue/Environmental Science Pub Date : 2024-09-08 DOI:10.13227/j.hjkx.202310078
Hong-Sheng Liao, Wei Wei, Le Chen, Yu Shi
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Abstract

Loess hills and gully areas are one of the important ecological barriers in China, and the study of the spatial and temporal changes of its habitat quality and its driving force is of great significance to guaranteeing the ecological security of China and safeguarding the national ecological rights and interests. Taking the Zuli River Basin as an example, the spatiotemporal distribution of the remote-sensing ecological index (RSEI) from 2000 to 2020 was systematically investigated using the Google Earth Engine platform and Landsat remote-sensing data. Combined with the coefficient of variation CV, the Theil-Sen Median slope estimation, the Mann-Kendall test of significance, and the Hurst index, the spatial and temporal changes of habitat quality in the study area were analyzed over a period of 20 years, and the effects of six major driving factors on the spatial distribution of RSEI were investigated using the geodetector method. The results of the study showed that: ① From 2000 to 2020, the value of the RSEI showed a downward and then upward trend, with an average annual increase of 0.084 5·(10 a)-1. ② During the 20-year period, the habitat quality improvement area accounted for 92.06%, of which the significant improvement area accounted for 28.49%, and the improvement area was mainly in Huining County, whereas the habitat degradation area only accounted for 7.82%. The trend of future ecological conditions showed that 74.98% of the areas would show a trend of continuous improvement or future improvement, but there would still be a potential risk of ecological degradation in 23.48% of the areas in the future. ③ Climate factors such as precipitation were the key factors affecting the habitat quality in the Zu Li River Basin; the interaction between factors had a higher explanatory power than that of any single factor on the habitat quality, among which the interaction between the precipitation factor and the elevation factor had the strongest explanatory power. The interaction between the terracing factor and the environmental factor significantly increased the explanatory power of the spatial variance, which indicated that terracing played an important role in improving habitat quality. The results of this study can provide a scientific basis for the management and sustainable development of the ecological environment in the loess hills and gullies.

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[典型黄土丘陵沟壑区栖息地质量的时空变化及驱动力:祖厉河流域案例研究]。
黄土丘陵沟壑区是我国重要的生态屏障之一,研究其生境质量及其驱动力的时空变化对保障我国生态安全、维护国家生态权益具有重要意义。以祖厉河流域为例,系统研究了2000-2020年祖厉河流域遥感生态指数(RSEI)的时空分布。的时空分布进行了系统研究。结合变异系数CV、Theil-Sen中值斜率估计、Mann-Kendall显著性检验和Hurst指数,分析了研究区20年间生境质量的时空变化,并利用地理探测器方法研究了六大驱动因素对RSEI空间分布的影响。研究结果表明:①2000-2020 年,RSEI 值呈先下降后上升趋势,年均上升 0.084 5-(10 a)-1。20年间,生境质量改善区占 92.06%,其中显著改善区占 28.49%,改善区主要分布在会宁县,而生境退化区仅占 7.82%。未来生态状况趋势显示,74.98%的区域未来生态状况将呈现持续改善或改善趋势,但仍有 23.48%的区域未来存在潜在的生态退化风险。降水等气候因子是影响祖厉河流域生境质量的关键因子;因子间的交互作用对生境质量的解释力高于单个因子,其中降水因子与海拔因子的交互作用解释力最强。梯田因子与环境因子的交互作用显著提高了空间变异的解释力,表明梯田在改善生境质量方面发挥了重要作用。该研究结果可为黄土丘陵沟壑区生态环境的管理和可持续发展提供科学依据。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
期刊最新文献
[Source and Influencing Factor Analysis of Soil Heavy Metals Based on PMF Model and GeoDetector]. [Spatial and Temporal Changes in Habitat Quality and Driving Forces in Typical Loess Hill and Gully Areas:A Case Study of the Zuli River Basin]. [A Method for Fine Mapping of Carbon Emissions from Regional Land Use Change and Its Application]. [Analysis of Spatial Distribution of Ecosystem Services and Driving Factors in Northeast China]. [Analysis of Spatiotemporal Differences and Influencing Factors of Land Use Carbon Emissions in Ningxia].
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