云南省植被水分利用效率时空变化及影响因素

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 云南省植被水分利用效率时空变化及影响因素 DOI: 10.5846/stxb202011253023 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目（41871198） Spatiotemporal variation and influencing factors of vegetation water use efficiency in Yunnan Province Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:对云南省植被水分利用效率（WUE）的时空特征及影响因素进行研究可以更加全面的了解全球气候变化在区域上的响应。基于MODIS数据定量估算了2000-2014年云南省植被水分利用效率，利用趋势分析法和相关分析来对其时空格局和影响因素进行研究。研究结果表明：（1）云南省植被WUE整体呈现显著上升的趋势，增速为0.0078 gC mm-1 m-2 a-1，年内表现为"M"型的变化趋势。2009-2013年的干旱对该地区植被WUE产生了滞后的正效应。不同土地利用类型下的植被WUE从高到低依次为森林，灌木地，草地和耕地。（2）在空间分布上植被WUE呈现西部高于东部的分布特征；在时间尺度上呈现北增南减的趋势。云贵高原与青藏高原的连接区域--丽江市的植被WUE最高，整体上大于2.5 gC mm-1 m-2。澜沧江上游的三江并流区植被WUE随着山脉的走势呈现条状变化分布，不仅是植被WUE的低值集中区，同时也是植被WUE增加10%以上的集中区，另外滇东北和滇东南也是植被WUE的低值区。总的来看，除丽江以外，其他WUE高值区从2000-2014年呈下降的趋势，WUE低值区呈上升的趋势。（3）随着海拔的上升，植被WUE呈先上升后下降的变化趋势，并且海拔越高植被WUE增加越明显，变化率为0.01%。在低海拔区植被蒸散量（ET）和总初级生产力（GPP）都较高，随着海拔的上升ET骤降，GPP波动下降，直至海拔3000 m左右植被WUE达到峰值。高于海拔3000 m后，GPP直线下降，ET波动变化，直至海拔5000 m左右植被WUE几乎为0。（4）相较于降水因子，植被WUE受气温影响更大，特别是在三江并流区，其他地区则受非气候因素影响较大。在全球气候变化的背景下，这些发现展现了全球碳水循环变化在区域上的响应；云南省作为中国低纬高原的主体，研究也可为全球低纬高原区域生态建设提供参考。 Abstract:The study of the spatiotemporal characteristics and influencing factors of vegetation water use efficiency (WUE) in Yunnan Province could provide a more comprehensively understanding of the regional response to global climate change. In this study, MODIS data were used to quantitatively estimate the water use efficiency in Yunnan Province from 2000 to 2014, and trend analysis and correlation analysis were used to investigate the spatiotemporal patterns and influencing factors. The results showed that:(1) the overall WUE in Yunnan Province indicated a significant upward trend, with a growth rate of 0.0078 gC mm-1 m-2 a-1, and exhibited an "M" shape trend during the year. The drought events that occurred during 2009-2013 had a lagged positive effect on the vegetation WUE in this area. The vegetation WUEs of different land use types, in descending order, were forest, shrubland, grassland and the cultivated land. (2) The spatial distribution of WUE was higher in the west than in the east with a tendency of increasing in the north and decreasing in the south. The highest WUE was found in Lijiang, the region connecting the Yunnan-Guizhou Plateau and the Qinghai-Tibet Plateau, where the WUE was greater than 2.5 gC mm-1 m-2 overall. The vegetation WUE in the Three Parallel Rivers of upper Lancang River showed a striped distribution with the trend of the mountains, and was a concentration of low vegetation values. But it was also a focus where the WUE increased by more than 10%. In addition, northeastern and southeastern Yunnan were also areas with low WUE. Overall, except for Lijiang, there was a decreasing trend of high WUE and an increasing trend of low WUE from 2000 to 2014. (3) With the rise of altitude, WUE showed a tendency to increase first and then decrease, and the increase of WUE was more obvious in the higher altitude, with a change rate of 0.01%. Both evapotranspiration (ET) and Gross Primary Productivity (GPP) were prominent at low altitude, and with the rise of altitude ET plummets and GPP fluctuates and decreases until the peak of WUE was reached 3000 m. Above about 3000 m, the GPP dropped linearly and the ET fluctuated until the WUE was almost zero at about 5000 m. (4) Compared with precipitation, WUE was more obviously influenced by temperature, especially in the Three Parallel Rivers, while other regions were more significantly influenced by non-climatic factors. In the context of global climate change, the findings demonstrated the regional response to changes in the global carbon and water cycle; as the main body of low-latitude plateau in China, this study also could provide a reference for the ecological construction in low-latitude plateau regions around the world. 参考文献 相似文献 引证文献