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Assessment of vegetation dynamics and their response to variations in precipitation and temperature in the Tibetan Plateau

机译：青藏高原植被动态及其对降水和温度变化的响应评估

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The Tibetan Plateau is a region sensitive to climate change, due to its high altitude and large terrain This sensitivity can be measured through the response of vegetation patterns to climate variability in this region Time series analysis of Normalized Difference Vegetation Index (NDVI) imagery and correlation analyses are effective tools to study land cover changes and their response to climatic variations This is especially important for regions like the Tibetan Plateau, which has a complex ecosystem but lacks a lot of detailed in-situ observation data due to its remoteness, vastness and the severity of its climatic conditions In this research a time series of 315 SPOT VEGETATION scenes, covering the period between 1998 and 2006, has been processed with the Harmonic ANalysis of Time Series (HANTS) algorithm in order to reveal the governing spatiotemporal pattern of variability Results show that the spatial distribution of NDVI values is in agreement with the general climate pattern in the Tibetan Plateau The seasonal variation is greatly influenced by the Asian monsoon Interannual analysis shows that vegetation density (recorded here by the NDVI values) in the entire Tibetan Plateau has generally increased Using a 1 km resolution land cover map from GLC2000, seven meteorological stations, presenting monthly data on near surface air temperature and precipitation, were selected for correlation analysis between NDVI and climate conditions in this research A time lag response has also been found between NDVI and climate variables Except in desert grassland (Shiquanhe station), the NDVI of all selected sites showed strong correlation with air temperature and precipitation, with variations in correlation according to the different land cover types at different locations The strongest relationship was found in alpine and subalpine plain grass, the weakest in desert grassland
机译：青藏高原由于其高海拔和大地形而对气候变化敏感，因此可以通过该地区植被格局对气候变化的响应来衡量该敏感度。归一化植被指数（NDVI）影像的时间序列分析及其相关性分析是研究土地覆盖变化及其对气候变化的响应的有效工具。这对于像青藏高原这样的地区尤为重要，该地区生态系统复杂，但由于地处偏远，辽阔而又缺乏大量详细的现场观测数据气候条件的严重性在本研究中，使用时间序列谐波分析（HANTS）算法处理了1998年至2006年之间的315个点植被场景的时间序列，以揭示变化的主要时空模式。结果表明NDVI值的空间分布与总体气候模式一致青藏高原的季节变化受亚洲季风的影响很大。年度分析显示，整个青藏高原的植被密度（此处记录为NDVI值）总体上有所提高使用GLC2000的1 km分辨率土地覆盖图，七个气象站本研究选择了提供近地表气温和降水的月度数据进行NDVI与气候条件之间的相关性分析。除沙漠草原（十全河站）外，NDVI还发现了NDVI与气候变量之间的时滞响应。所有选择的地点都与气温和降水有很强的相关性，并且根据不同地点的不同土地覆盖类型而有相关性的变化。在高山和亚高山平原草中发现的相关性最强，在沙漠草地中相关性最弱

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