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2000~2020年西南地区植被NDVI对气候变化和人类活动响应特征
摘要点击 521  全文点击 90  投稿时间:2021-08-11  修订日期:2021-10-23
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中文关键词  西南地区  气候变化  人类活动  残差分析  偏相关分析
英文关键词  southwest China  climate change  human activities  residual analysis  partial correlation analysis
作者单位E-mail
徐勇 桂林理工大学测绘地理信息学院, 桂林 541006 yongxu@glut.edu.cn 
黄雯婷 桂林理工大学测绘地理信息学院, 桂林 541006  
窦世卿 桂林理工大学测绘地理信息学院, 桂林 541006 doushiqing@glut.edu.cn 
郭振东 桂林理工大学测绘地理信息学院, 桂林 541006  
李欣怡 桂林理工大学测绘地理信息学院, 桂林 541006  
郑志威 桂林理工大学测绘地理信息学院, 桂林 541006  
靖娟利 桂林理工大学测绘地理信息学院, 桂林 541006  
中文摘要
      研究植被变化及其对气候变化和人类活动的响应机制,对区域生态保护和植被恢复具有重要现实意义.利用MODIS NDVI数据、基于站点的气象数据和土地利用数据,结合Theil-Sen Median趋势分析、Mann-Kendall显著性分析、残差分析、偏相关分析和复相关分析等方法,基于不同地貌单元,分析2000~2020年中国西南地区植被覆盖时空演变特征及其对气候和土地利用变化的响应特征.结果表明,2000~2020年西南地区植被NDVI整体呈波动上升趋势,上升斜率在空间上呈东南高和西北低的分异格局.气候变化和人类活动对西南地区植被NDVI上升均以促进作用为主,且对广西丘陵植被生长的促进作用强于其他地貌单元.2000~2020年间西南地区植被NDVI与气温和降水呈正相关,与相对湿度和日照时数呈负相关,且温度是影响西南地区植被NDVI变化的气候主导因子.城市扩张在一定程度上减少了区域植被覆盖,但得益于适宜的气候条件以及林业生态工程的实施,西南地区整体植被覆盖以上升为主.研究结果可为西南地区生态保护及经济可持续发展提供科学依据.
英文摘要
      Studying vegetation cover variation and its responding mechanism to climate change and human activities is of great significance for regional ecological protection and vegetation restoration. In this study, on the basis of MODIS NDVI, in situ climate data, and land use type data using Theil-Sen Median analysis, the Mann-Kendall significance test, residual analysis, partial correlation analysis, and multi-correlation analysis, the spatial and temporal variation in vegetation cover and its response to climate change and the land use/land cover change in each geomorphological unit in southwest China were analyzed. The vegetation cover showed a fluctuant increasing trend, and the changing trend exhibited obvious spatial heterogeneity, with the increasing rate being higher in the southeast and lower in the northwest of southwest China from 2000 to 2020. The vegetation variation was dominated by positive effects of the climate change and human activities in southwest China, and the positive effects were stronger in Guangxi Hill than those in other geomorphological units. Furthermore, from 2000 to 2020 the vegetation cover was positively associated with precipitation and temperature and negatively correlated with relative humidity and sunshine duration in southwest China. Temperature was considered to be the dominate climate factor controlling the vegetation variation in the study area. Urban expansion had decreased the region vegetation cover, but the overall vegetation cover had increased in southwest China due to the suitable regional climate conditions and the implementation of ecological reforestation projection. These results can provide scientific references for ecological protection and economic sustainable development in southwest China.

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