class='kwd-title'>Method name: Temporal trend an'/> Long-term trend of and correlation between vegetation greenness and climate variables in Asia based on satellite data
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Long-term trend of and correlation between vegetation greenness and climate variables in Asia based on satellite data

机译:基于卫星数据的亚洲植被绿色度与气候变量的长期趋势及其相关性

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摘要

class="kwd-title">Method name: Temporal trend analysis, Statistical analysis class="kwd-title">Keywords: Vegetation greenness, Precipitation, Evaporation, Temperature, Correlation, Trend class="head no_bottom_margin" id="abs0010title">AbstractSatellite data has been used to ascertain trends and correlations between climate change and vegetation greenness in Asia. Our study utilized 33-year (1982–2014) AVHRR-GIMMS (Advanced Very High Resolution Radiometer–Global Inventory Modelling and Mapping Studies) NDVI3g and CRU TS (Climatic Research Unit Time Series) climate variable (temperature, rainfall, and potential evapotranspiration) time series. First, we estimated the overall trends for vegetation greenness and climate variables and analyzed trends during summer (April–October), winter (November–March), and the entire year. Second, we carried out correlation and regression analyses to detect correlations between vegetation greenness and climate variables. Our study revealed an increasing trend (0.05–0.28) in temperature in northeastern India (bordering Bhutan), Southeast Bhutan, Yunnan Province of China, Northern Myanmar, Central Cambodia, northern Laos, southern Vietnam, eastern Iran, southern Afghanistan, and southern Pakistan. However, a decreasing trend in temperature (0.00 to −0.04) was noted for specific areas in southern Asia including Central Myanmar and northwestern Thailand and the Guangxi, Southern Gansu, and Shandong provinces of China. The results also indicated an increasing trend for evapotranspiration and air temperature accompanied by a decreasing trend for vegetation greenness and rainfall. Increases in both the mean annual signal and annual cycle occurred in the forest, herbaceous, and cropland areas of India, Northwest China, and eastern Kazakhstan. The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship (R = 0.84–0.96). class="first-line-outdent" id="lis0005">
  • • Temperature is the main climatic variable affecting vegetation greenness.
  • • A downward trend in vegetation greenness was observed during summer (April–October).
  • • Temperature showed an upward trend across many areas of Asia during the study period.
  • • In winter, rainfall showed downward and upward trends in different parts of Asia.
  • 机译:<!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> <!-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>方法名称:时间趋势分析,统计分析 class =“ kwd-title”>关键字:植被绿色度,降水,蒸发,温度,相关性,趋势 class =“ head no_bottom_margin” id =“ abs0010title”>摘要卫星数据已被用于确定气候变化与植被绿色度之间的趋势和相关性亚洲。我们的研究利用了33年(1982年至2014年)的AVHRR-GIMMS(先进的超高分辨率辐射计-全球清单建模和绘图研究)NDVI3g和CRU TS(气候研究单位时间序列)气候变量(温度,降雨量和潜在蒸散量)时间序列。首先,我们估算了植被绿色度和气候变量的总体趋势,并分析了夏季(4月至10月),冬季(11月至3月)以及全年的趋势。其次,我们进行了相关和回归分析,以检测植被绿色度与气候变量之间的相关性。我们的研究表明,印度东北部(不丹接壤),不丹东南部,中国云南省,缅甸北部,柬埔寨中部,老挝北部,越南南部,伊朗东部,阿富汗南部和巴基斯坦南部的温度升高趋势(0.05-0.28) 。但是,注意到南亚特定地区(包括缅甸中部和泰国西北部以及广西,甘肃南部和中国山东省)的温度下降趋势(0.00至-0.04)。结果还表明,蒸散量和气温都有增加的趋势,而植被的绿度和降雨量却有减少的趋势。印度,中国西北部和哈萨克斯坦东部的森林,草本和农田地区的年均信号和年周期均增加。在哈萨克斯坦,蒙古北部,东北和中部地区,朝鲜,韩国和日本北部,温度被发现是植被绿色变化的主要驱动力,表现出间接的关系(R = 0.84-0.96)。 =“ first-line-outdent” id =“ lis0005”> <!-list-behavior =简单的prefix-word = mark-type = none max-label-size = 9->
  • •温度是影响植被绿色度的主要气候变量。
  • •在夏季(4月至10月)观察到植被绿色度呈下降趋势。
  • •在研究期间,亚洲许多地区的温度均呈上升趋势。
  • •冬季,亚洲不同地区的降雨呈下降和上升趋势。
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