Qiao Hongqiang, Kang Yongwei, Niu Yali
College of Management, Gansu Agricultural University, Lanzhou, 730070, China.
Sci Rep. 2024 Nov 4;14(1):26562. doi: 10.1038/s41598-024-76838-4.
Aligned with the imperatives of national ecological civilization construction, the systematic investigation into the intricate interplay between shifts in land utilization and the assessment of ecosystem services plays a pivotal and indispensable role in advancing ecological civilization. This endeavor holds significant implications. It aids in optimizing the ecological landscape at the regional level and fosters harmonious coexistence between humanity and the natural world. The study utilizes land-use remote sensing interpretation data from three time periods (2000, 2010, and 2020) and employs various methodologies, including equivalent factor coefficient correction, sensitivity analysis, and spatial autocorrelation. The objective is to uncover the spatiotemporal dynamics of land-use changes and Ecosystem Service Value (ESV) in Lanzhou City. Furthermore, geographic detectors are applied to explore the driving factors influencing ESV spatial heterogeneity and their interactions. The research findings indicate the following: (1) From 2000 to 2020, grassland and cropland were the predominant land-use types in Lanzhou City, with cropland and urban land experiencing the most active changes. (2) ESV in Lanzhou City increased from 179.37 billion RMB in 2000 to 193.86 billion RMB in 2020, reflecting an ESV total growth rate of 8.07% and a gradual improvement in the ecological environment. Spatially, ESV exhibits a "west high, east low" distribution pattern, with the center shifting towards the northwest and southeast, gradually reducing spatial imbalance. (3) Analysis of ESV spatial autocorrelation reveals that high-high clusters are predominantly found within the Tulu Gou National Forest Park and the Xinglong Mountain National Natural Reserve, while low-low clusters are primarily concentrated in the central urban area of Lanzhou City. Over the period from 2000 to 2020, the spatial clustering effect of ESV within the study area has progressively intensified. 4)NDVI, precipitation, and GDP emerge as pivotal factors influencing spatial differentiation within Lanzhou City, with natural and societal elements exerting interactive effects on ESV spatial disparities. The research results integrate environmental considerations into the decision-making process, offering valuable insights for formulating targeted ecological protection policies in Lanzhou City. This study embodies concrete measures taken by Lanzhou City in practicing China's concept of "green water and green mountains are golden silver mountains," providing a theoretical basis for the harmonious and sustainable development of the ecological economy.
与国家生态文明建设的要求相契合，对土地利用变化与生态系统服务评估之间复杂的相互作用进行系统研究，在推进生态文明建设中起着关键且不可或缺的作用。这一努力具有重大意义。它有助于在区域层面优化生态景观，并促进人类与自然世界的和谐共生。该研究利用了三个时间段（2000年、2010年和2020年）的土地利用遥感解译数据，并采用了多种方法，包括当量因子系数修正、敏感性分析和空间自相关分析。目的是揭示兰州市土地利用变化和生态系统服务价值（ESV）的时空动态。此外，应用地理探测器来探究影响ESV空间异质性的驱动因素及其相互作用。研究结果表明：（1）2000年至2020年期间，草地和耕地是兰州市的主要土地利用类型，其中耕地和城市用地变化最为活跃。（2）兰州市的ESV从2000年的1793.7亿元增加到2020年的1938.6亿元，ESV总增长率为8.07%，生态环境逐渐改善。在空间上，ESV呈现出“西高东低”的分布格局，中心向西北和东南方向移动，空间不平衡逐渐减小。（3）对ESV空间自相关的分析表明，高高聚类主要出现在吐鲁沟国家森林公园和兴隆山国家级自然保护区内，而低低聚类主要集中在兰州市中心城区。2000年至2020年期间，研究区内ESV的空间聚类效应逐渐增强。（4）归一化植被指数（NDVI）、降水量和国内生产总值（GDP）是影响兰州市空间分异的关键因素，自然和社会因素对ESV空间差异存在交互作用。研究结果将环境因素纳入决策过程，为兰州市制定有针对性的生态保护政策提供了有价值的见解。本研究体现了兰州市践行中国“绿水青山就是金山银山”理念的具体举措，为生态经济的和谐可持续发展提供了理论依据。
