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Assessing the impact of seasonal precipitation and temperature on vegetation in a grass-dominated rangeland.

机译:在以草为主的牧场中评估季节性降水和温度对植被的影响。

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Changes in vegetation are affected by many climatic factors and have been successfully monitored through satellite remote sensing over the past 20 years. In this study, the Normalised Difference Vegetation Index (NDVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite, was selected as an indicator of change in vegetation. Monthly MODIS composite NDVI at a 1-km resolution was acquired throughout the 2004-09 growing seasons (i.e. April-September). Data describing daily precipitation and temperature, primary factors affecting vegetation growth in the semiarid rangelands of Idaho, were derived from the Surface Observation Gridding System and local weather station datasets. Inter-annual and seasonal fluctuations of precipitation and temperature were analysed and temporal relationships between monthly NDVI, precipitation and temperature were examined. Results indicated NDVI values observed in June and July were strongly correlated with accumulated precipitation (R2 >0.75), while NDVI values observed early in the growing season (May) as well as late in the growing season (August and September) were only moderately related with accumulated precipitation (R2 >=0.45). The role of ambient temperature was also apparent, especially early in the growing season. Specifically, early growing-season temperatures appeared to significantly affect plant phenology and, consequently, correlations between NDVI and accumulated precipitation. It is concluded that precipitation during the growing season is a better predictor of NDVI than temperature but is interrelated with influences of temperature in parts of the growing season.
机译:植被的变化受到许多气候因素的影响,并且在过去的20年中已通过卫星遥感成功地进行了监测。在这项研究中,从Terra卫星上的中等分辨率成像光谱仪(MODIS)得出的归一化植被指数(NDVI)被选为植被变化的指标。在2004-09年整个生长季节(即4月至9月),每个月都以1 km的分辨率获取MODIS复合NDVI。描述了爱达荷州半干旱牧场中植被生长的主要因素的每日降水和温度数据来自地面观测网格系统和当地气象站数据集。分析了降水和温度的年际和季节波动,并研究了每月NDVI,降水和温度之间的时间关系。结果表明,6月和7月观测到的NDVI值与累积降水量(R 2

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