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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。

Long-term trend and correlation between vegetation greenness and climate variables in Asia based on satellite data.

机构信息

Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02855, South Korea.

Division of Environmental Science and Ecological Engineering, Korea University, Seoul 02855, South Korea.

出版信息

Sci Total Environ. 2018 Mar 15;618:1089-1095. doi: 10.1016/j.scitotenv.2017.09.145.

Abstract

Satellite 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, climate variables and analyzed trends during summer (April to October), winter (November to 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 to 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. 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).

摘要

卫星数据已被用于确定亚洲气候变化与植被绿色度之间的趋势和相关性。我们的研究利用了 33 年(1982-2014 年)的 AVHRR-GIMMS(高级甚高分辨率辐射计-全球库存建模和制图研究)NDVI3g 和 CRU TS(气候研究单位时间序列)气候变量(温度、降水和潜在蒸散量)时间序列。首先,我们估计了植被绿色度、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)和全年的趋势。其次,我们进行了相关性和回归分析,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,东北部印度(与不丹接壤)、东南不丹、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呈上升趋势(0.05 至 0.28)。然而,在南亚的一些特定地区,包括缅甸中部和泰国西北部以及中国的广西、甘肃南部和山东,温度呈下降趋势(0.00 至-0.04)。结果还表明,蒸散量和空气温度呈上升趋势,而植被绿色度和降水呈下降趋势。温度被认为是哈萨克斯坦、蒙古北部、中国东北和中部、朝鲜、韩国和日本北部变化的植被绿色度的主要驱动因素,表现出间接关系(R=0.84-0.96)。

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