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秦岭地区生态环境质量时空变化及驱动力分析
摘要点击 1417  全文点击 86  投稿时间:2024-04-22  修订日期:2024-07-20
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中文关键词  遥感生态指数(RSEI)  GEE平台  变化趋势  驱动因素  秦岭地区
英文关键词  remote sensing ecological index(RSEI)  GEE platform  changing trends  driving factors  Qinling Mountains
作者单位E-mail
罗旭 长安大学地质工程与测绘学院, 西安 710054 1530839983@qq.com 
王丽霞 长安大学地质工程与测绘学院, 西安 710054 zylxwang@chd.edu.cn 
张晶 长安大学水利与环境学院, 西安 710054  
杨耘 长安大学地质工程与测绘学院, 西安 710054  
刘招 长安大学水利与环境学院, 西安 710054  
中文摘要
      秦岭被誉为中国的“绿芯”,拥有丰富的生物多样性和重要的生态服务价值. 基于GEE平台,结合MODIS遥感影像数据,采用主成分分析法构建了遥感生态指数(RSEI),并综合运用Theil-Sen趋势分析、Mann-Kendall检验、Hurst指数模型和地理探测器,研究秦岭地区2002~2022年RSEI的变化趋势及持续特征,并探究其驱动因素. 结果表明:①时间尺度上,秦岭地区RSEI稳定增长,2002~2022年中增长区面积占比达到75.96%,且整体水平较高,多年均值为0.59. ②空间尺度上,秦岭地区RSEI呈现出“中部高,南北低”的分布特征,山麓地带受城镇化发展影响深刻. ③动态角度分析表明,秦岭地区RSEI变化以增长趋势为主. 结合Hurst指数,44.04%的秦岭地区的RSEI在未来会继续保持良好的状况. ④地理探测器分析表明,年平均气温和土地利用类型对秦岭地区RSEI的空间分异影响最大,且人类活动加快了城市化的进程,同时对生态环境的影响也越来越剧烈.
英文摘要
      The Qinling Mountains are known as China's “green core” and have rich biodiversity and important ecological service value. Based on the GEE platform and combined with MODIS remote sensing image data, the remote sensing ecological index (RSEI) was constructed by principal component analysis. The Theil-Sen trend analysis, Mann-Kendall test, Hurst index model, and geographic detector were used to study the change trend and continuous characteristics of RSEI in the Qinling Mountains from 2002 to 2022 and explore its driving factors. The results showed that: ① On the time scale, the RSEI in the Qinling Mountains has been growing steadily, and the area of the growth area reached 75.96% from 2002 to 2022, and the overall level was relatively high, with a multi-year average of 0.59. ② On the spatial scale, the RSEI in the Qinling Mountains presented a distribution characteristic of “high in the middle and low in the north and south”, and the foothills were deeply affected by urbanization. ③ Dynamic perspective analysis showed that the change of RSEI in the Qinling Mountains was mainly an increasing trend. Combined with the Hurst index, 44.04% of the RSEI in the Qinling Mountains will continue to maintain a good condition in the future. ④ The analysis of geographic detectors showed that the annual average temperature and land use type had the greatest impact on the spatial differentiation of RSEI in the Qinling Mountains, and human activities have accelerated the process of urbanization, while also having an increasingly severe impact on the ecological environment.

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