引用本文: | 陈泽峰,王卫光,傅健宇.中国区域植被对降水异常的时空响应特征[J].灌溉排水学报,2019,38(5):84-90. |
| CHEN Zefeng,WANG Weiguang,FU Jianyu.中国区域植被对降水异常的时空响应特征[J].灌溉排水学报,2019,38(5):84-90. |
|
摘要: |
【目的】分析中国植被生长对降水异常的响应方式及其强度。【方法】基于1982―2015年GIMMS-NDVI和高分辨率栅格气候数据,采用二阶偏相关和时滞相关分析方法,研究了中国区域植被生长对降水异常响应的时空模式。【结果】①中国生长期植被NDVI呈显著的上升趋势,上升幅度为0.000 7/a,而降水年际间波动较大,整体趋势并不显著;②NDVI与降水异常的偏相关系数呈现显著的空间差异性,内蒙古中东部植被生长受降水异常的影响最为显著;③总体而言,植被生长对前1个月降水异常的响应最强烈,并且与超过3个月累积的降水异常相关性最强,而受同期降水异常的影响并不明显。【结论】降水变化对半干旱区植被生长活动影响最大;同时,不同植被类型的地区,植被对降水异常的响应模式存在显著差异,相比于灌木和草地,森林受降水异常的影响更小,且响应更迟缓。 |
关键词: NDVI; 植被生长; 降水; 时滞相关; 气候变化 |
DOI:10.13522/j.cnki.ggps.20180715 |
分类号: |
基金项目: |
|
Change in Vegetation in Response to Precipitation Variation Across China |
CHEN Zefeng, WANG Weiguang*, FU Jianyu
|
State Key Laboratory of Hydrology-water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
|
Abstract: |
【Objective】The objective of this paper is to analyze the spatiotemporal response of vegetation to precipitation variation in China.【Method】The analysis was based on GIMMS-NDVI dataset and high-resolution gridded climate dataset from 1982 to 2015, using second-order partial correlation and lag-correlation method. 【Result】From 1982—2015, the mean NDVI over plant growing season showed a significant increase, at annual rate of 0.000 7. While there was an inter-annual variation in precipitation, there was no a significant trend. The partial correlation coefficient between NDVI and precipitation varied spatially, with vegetation dynamic in Inner Mongolia correlated strongly with precipitation fluctuation. Generally, vegetation growth was impacted strongly by precipitation in previous month as well as the accumulated precipitation over previous three months, but was only slightly correlated to precipitation in the same month. 【Conclusion】Vegetation variation in semi-arid region was impacted by precipitation variation more significantly than in other regions. Different vegetation types responded differently to precipitation variation, and compared to shrubland and grassland, the growth of forest was least influenced by precipitation variation and there was a delay in its response to precipitation change. |
Key words: NDVI; vegetation growth; precipitation; lag-correlation; climate change |