预测塔里木河流域的土地利用变化趋势和生境质量:以气候变化情景和多重尺度为视角

Land Pub Date : 2024-07-26 DOI:10.3390/land13081146
T. Aishan, Jian Song, Ü. Halik, F. Betz, Asadilla Yusup
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引用次数: 0

摘要

在气候变化和人类活动的影响下,内陆河流域的生境质量(HQ)持续下降。研究土地利用与生境质量的时空分布可为干旱地区生态环境的可持续发展战略提供支持。因此,本研究利用 SD-PLUS 模型、InVEST-HQ 模型和 Geodetector 评估和模拟了塔里木河流域(TRB)在多种尺度(县和网格尺度)和情景(SSP126、SSP245 和 SSP585)下的土地利用变化和 HQ。结果表明:(1) Globeland 30、中国 30 m 年度土地覆被产品和中国科学院(30 m)产品的优点图(FoM)值分别为 0.22、0.12 和 0.15。对不同分辨率的土地利用数据集进行比较后发现,随着分辨率的降低,kappa 值呈下降趋势。(2) 2000 年、2010 年和 2020 年的 HQ 值分别为 0.4656、0.4646 和 0.5143。在 SSP126 和 SSP245 情景下,HQ 值呈上升趋势:2030、2040 和 2050 年的 HQ 值分别为 0.4797、0.4834 和 0.4855,以及 0.4805、0.4861 和 0.4924。在 SSP585 条件下,HQ 值先上升后下降,2030、2040 和 2050 年的 HQ 值分别为 0.4791、0.4800 和 0.4766。(3)在三种情景下,HQ 值提高的地区主要分布在南部和北部高山地区以及城市周边地区,HQ 值降低的地区主要分布在盆地西部和中部城市地区。(4) 在县级尺度上,除 2000 年和 2020 年外,空间相关性不显著,Moran's I 在 0.07 至 0.12 之间。在网格尺度上,空间相关性显著,具有明显的高值和低值聚类(莫兰 I 在 0.80 和 0.83 之间)。这项研究将有助于土地利用规划者和决策者制定可持续发展政策,促进流域生态文明建设。
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Predicting Land-Use Change Trends and Habitat Quality in the Tarim River Basin: A Perspective with Climate Change Scenarios and Multiple Scales
Under the influences of climate change and human activities, habitat quality (HQ) in inland river basins continues to decline. Studying the spatiotemporal distributions of land use and HQ can provide support for sustainable development strategies of the ecological environment in arid regions. Therefore, this study utilized the SD-PLUS model, InVEST-HQ model, and Geodetector to assess and simulate the land-use changes and HQ in the Tarim River Basin (TRB) at multiple scales (county and grid scales) and scenarios (SSP126, SSP245, and SSP585). The results indicated that (1) the Figure of Merit (FoM) values for Globeland 30, China’s 30 m annual land-cover product, and the Chinese Academy of Sciences (30 m) product were 0.22, 0.12, and 0.15, respectively. A comparison of land-use datasets with different resolutions revealed that the kappa value tended to decline as the resolution decreased. (2) In 2000, 2010, and 2020, the HQ values were 0.4656, 0.4646, and 0.5143, respectively. Under the SSP126 and SSP245 scenarios, the HQ values showed an increasing trend: for the years 2030, 2040, and 2050, they were 0.4797, 0.4834, and 0.4855 and 0.4805, 0.4861, and 0.4924, respectively. Under SSP585, the HQ values first increased and then decreased, with values of 0.4791, 0.4800, and 0.4766 for 2030, 2040, and 2050, respectively. (3) Under three scenarios, areas with improved HQ were mainly located in the southern and northern high mountain regions and around urban areas, while areas with diminished HQ were primarily in the western part of the basin and central urban areas. (4) At the county scale, the spatial correlation was not significant, with Moran’s I ranging between 0.07 and 0.12, except in 2000 and 2020. At the grid scale, the spatial correlation was significant, with clear high- and low-value clustering (Moran’s I between 0.80 and 0.83). This study will assist land-use planners and policymakers in formulating sustainable development policies to promote ecological civilization in the basin.
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