Spatial-temporal patterns of vegetation dynamics and their relationships to climate variations in Qinghai Lake Basin using MODIS time-series data
Spatial-temporal patterns of vegetation dynamics and their relationships to climate variations in Qinghai Lake Basin using MODIS time-series data
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基于MODIS时序数据的青海湖流域植被动态时空格局及其与气候变化的关系
DOI：
10.1007/s11442-014-1134-y
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发表时间：
2014-10
影响因子：
4.9
通讯作者：
Li Shuheng
中科院分区：
文献类型：
--
作者：
Guo Wei;Ni Xiangnan;Jing Duanyang;Li Shuheng
近年来，全球变暖导致植被发生了重大变化。为了更好地理解气候变化的适应性，有必要研究气候变化（温度和降水）对植被变化的影响。本文重点研究GIS中多种方法和空间分析技术的集成与应用，研究植被动态的时空变化，探索植被变化机制。利用2001 - 2012年青海湖流域各像元的月、季、年3个时间尺度的EVI与气候因子的相关性进行了计算。本研究的主要目的是揭示植被变化的时间、地点和原因，以支持更好地了解陆地对全球变化的响应，以及为明智的区域生态系统管理实践提供有用的信息和技术。主要结论如下：（1）近12年来，该地区植被EVI总体增加了6%。生长季（春季和夏季）的EVI值有极显著的提高趋势，分别占12.8%和9.3%。EVI的空间格局表现出明显的空间异质性，与热液条件相一致。总体而言，大部分地区植被覆盖度有所改善，整个流域近78%的像元呈增加趋势，只有小部分地区略有退化。(2)EVI的变化与平均气温和降水量呈正相关。总的来说，青海湖流域降水是植被生长的主导驱动因子，但在不同时间尺度上，降水对植被生长的权重存在差异。(3)地统计分析表明，秋季降水量与次年春季EVI值在全区范围内具有较强的相关性。本研究结果探讨了秋季降水量是一个重要指标，进而，限制了来年春季的植物生长。
Global warming has led to significant vegetation changes in recent years. It is necessary to investigate the effects of climatic variations (temperature and precipitation) on vegetation changes for a better understanding of acclimation to climatic change. In this paper, we focused on the integration and application of multi-methods and spatial analysis techniques in GIS to study the spatio-temporal variation of vegetation dynamics and to explore the vegetation change mechanism. The correlations between EVI and climate factors at different time scales were calculated for each pixel including monthly, seasonal and annual scales respectively in Qinghai Lake Basin from the year of 2001 to 2012. The primary objectives of this study are to reveal when, where and why the vegetation change so as to support better understanding of terrestrial response to global change as well as the useful information and techniques for wise regional ecosystem management practices. The main conclusions are as follows: (1) Overall vegetation EVI in the region increased 6% during recent 12 years. The EVI value in growing seasons (i.e. spring and summer) exhibited very significant improving trend, accounted for 12.8% and 9.3% respectively. The spatial pattern of EVI showed obvious spatial heterogeneity which was consistent with hydrothermal condition. In general, the vegetation coverage improved in most parts of the area since nearly 78% pixel of the whole basin showed increasing trend, while degraded slightly in a small part of the area only. (2) The EVI change was positively correlated with average temperature and precipitation. Generally speaking, in Qinghai Lake Basin, precipitation was the dominant driving factor for vegetation growth; however, at different time scale its weight to vegetation has differences. (3) Based on geo-statistical analysis, the autumn precipitation has a strong correlation with the next spring EVI values in the whole region. This findings explore the autumn precipitation is an important indicator, and then, limits the plant growth of next spring.
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