| 2001~2021年甘肃省植被NDVI时空演变及其对气候变化与人类活动的响应 |
| 摘要点击 877 全文点击 35 投稿时间：2025-05-07 修订日期：2025-09-15 |
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| 中文关键词 三大自然区过渡带 归一化植被指数（NDVI） 气候变化 人类活动 贡献率 |
| 英文关键词 transitional zone of three major natural regions normalized difference vegetation index（NDVI） climate change human activities contribution rate |
| DOI 10.13227/j.hjkx.202505042 |
| 作者 | 单位 | E-mail | | 祁兰兰 | 云南师范大学能源与环境科学学院, 昆明 650500
云南大学生态与环境学院, 昆明 650500 | lanqiasd@163.com | | 苏敬华 | 上海市环境科学研究院, 上海 200233 | | | 王敏 | 上海市环境科学研究院, 上海 200233 | | | 王卿 | 上海市环境科学研究院, 上海 200233 | | | 杨雨其 | 云南师范大学能源与环境科学学院, 昆明 650500 | | | 张小乐 | 云南开放大学公共基础教学部, 昆明 650500 | | | 卢蒙 | 云南大学生态与环境学院, 昆明 650500 | | | 黄益宗 | 云南师范大学能源与环境科学学院, 昆明 650500 | | | 黄晶心 | 云南师范大学能源与环境科学学院, 昆明 650500 | huangjingxin17@163.com |
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| 中文摘要 |
| 甘肃省地处三大自然区过渡带，探究其植被动态变化对气候变化和人类活动的响应，可为区域植被保护和生态工程政策的制定提供参考依据. 基于2001~2021年归一化植被指数（NDVI）和影响因子数据，采用Theil-sen Median趋势分析、偏相关分析、空间自相关和残差分析的方法，分析了甘肃省植被NDVI时空变化及其驱动机制. 结果表明：①研究期内甘肃省植被NDVI均值为0.352，呈“东南高，西北低”的空间分异格局，全域及各地貌类型植被NDVI 均呈波动上升趋势，植被改善面积达到74.25%，其中陇中黄土高原和陇南山地的上升趋势高于其他地貌单元，植被改善最明显. ②研究区近66%的区域，气温和降水均对植被NDVI起到促进作用，且降水对植被影响大于气温. ③人类活动对甘肃省植被NDVI以正效应为主，其中草地和耕地稳定区对植被变化的贡献率最高（60%）. 夜间灯光（NTL）的变化速率与NDVI 的变化速率表现为空间弱正相关，甘南高原、河西走廊、祁连山地和北山山地均呈“低-低”聚集特征，陇南山地和陇中黄土高原呈“低-高”聚集模式. ④气候变化和人类活动共同促进了甘肃省植被的改善，但存在空间分异性，人类活动（贡献率为70.61%）对植被的影响大于气候变化（贡献率为29.39%）；地貌单元下，仅甘南高原是以气候变化为主导因素. 研究结果揭示了过渡带植被变化的差异化驱动机制，可为优化区域生态管理政策提供了重要依据. |
| 英文摘要 |
| Located in the transitional zone of three major natural regions in China， Gansu Province serves as a critical area for investigating vegetation dynamics in response to climate change and human activities， providing a scientific basis for regional vegetation conservation and ecological engineering policies. Based on normalized difference vegetation index （NDVI） data and influencing factors datasets from 2001 to 2021， this study employed Theil-Sen Median trend analysis， partial correlation analysis， spatial autocorrelation analysis， and residual analysis to systematically analyze the spatiotemporal variations of vegetation NDVI and their driving mechanisms in Gansu Province. The results indicate that： ① The mean NDVI value during the study period was 0.352， exhibiting a distinct “high in the southeast， low in the northwest” spatial pattern. Both the entire province and individual geomorphic units showed significant upward trends， with 74.25% of the area experiencing vegetation improvement， particularly pronounced in the Loess Plateau of Longzhong and the southern mountainous regions. ② Climatic factor analysis revealed that temperature and precipitation exerted positive effects on vegetation NDVI in over 66% of the study area， with precipitation demonstrating a stronger influence than temperature. ③ Human activities predominantly enhanced vegetation NDVI， with stable grassland and cropland areas contributing the most （cumulatively 60%）. The change rates of nighttime light （NTL） and NDVI exhibited a weak positive spatial correlation， displaying “low-low” clustering in the Gannan Plateau， Hexi Corridor， Qilian Mountains， and Beishan Mountains， while “low-high” clustering characterized the southern mountainous area of Gansu and the Loess Plateau in central Gansu. ④ Contribution analysis highlighted that human activities （70.61%） had a greater overall impact on vegetation changes than climate change （29.39%）， though spatial heterogeneity was evident—the Gannan Plateau was the only geomorphic unit where climate change dominated. These findings elucidate the differential driving mechanisms of vegetation dynamics in transitional zones and offer critical insights for optimizing regional ecological management strategies. |
