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Temporal and Spatial Characteristics of EVI and Its Response to Climatic Factors in Recent 16 years Based on Grey Relational Analysis in Inner Mongolia Autonomous Region, China

机译:基于灰色关系分析的基于灰色关系分析,EVI的时间和空间特征及其对气候因子的反应基于灰色关系分析

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摘要

The Inner Mongolia Autonomous Region (IMAR) is a major source of rivers, catchment areas, and ecological barriers in the northeast of China, related to the nation’s ecological security and improvement of the ecological environment. Therefore, studying the response of vegetation to climate change has become an important part of current global change research. Since existing studies lack detailed descriptions of the response of vegetation to different climatic factors using the method of grey correlation analysis based on pixel, the temporal and spatial patterns and trends of enhanced vegetation index (EVI) are analyzed in the growing season in IMAR from 2000 to 2015 based on moderate resolution imaging spectroradiometer (MODIS) EVI data. Combined with the data of air temperature, relative humidity, and precipitation in the study area, the grey relational analysis (GRA) method is used to study the time lag of EVI to climate change, and the study area is finally zoned into different parts according to the driving climatic factors for EVI on the basis of lag analysis. The driving zones quantitatively show the characteristics of temporal and spatial differences in response to different climatic factors for EVI. The results show that: (1) The value of EVI generally features in spatial distribution, increasing from the west to the east and the south to the north. The rate of change is 0.22/10°E from the west to the east, 0.28/10°N from the south to the north; (2) During 2000–2015, the EVI in IMAR showed a slightly upward trend with a growth rate of 0.021/10a. Among them, the areas with slight and significant improvement accounted for 21.1% and 7.5% of the total area respectively, ones with slight and significant degradation being 24.6% and 4.3%; (3) The time lag analysis of climatic factors for EVI indicates that vegetation growth in the study area lags behind air temperature by 1–2 months, relative humidity by 1–2 months, and precipitation by one month respectively; (4) During the growing season, the EVI of precipitation driving zone (21.8%) in IMAR is much larger than that in the air temperature driving zone (8%) and the relative humidity driving zone (11.6%). The growth of vegetation in IMAR generally has the closest relationship with precipitation. The growth of vegetation does not depend on the change of a single climatic factor. Instead, it is the result of the combined action of multiple climatic factors and human activities.
机译:内蒙古自治区(IMAR)是中国东北地区的主要河流,集水区和生态障碍的主要来源,与国家生态安全和改善生态环境有关。因此,研究植被与气候变化的反应已成为当前全球变革研究的重要组成部分。由于现有研究缺乏使用基于像素的灰色相关分析方法的植被对不同气候因子的响应的详细描述,因此在2000年的IMAR中的生长季节分析了增强植被指数(EVI)的时间和空间模式和趋势基于适度分辨率成像光谱辐射器(MODIS)EVI数据的2015。结合研究区内的空气温度,相对湿度和降水的数据,灰色关系分析(GRA)方法用于研究EVI对气候变化的时间滞后,并且研究区域最终将分区成不同部件基于滞后分析的EVI驱动气候因素。驱动区域定量地显示出响应EVI的不同气候因子的时间和空间差异的特征。结果表明:(1)EVI的价值通常在空间分布中的特点,从西向东和南方增加。从西向东0.22 / 10°E的变化率,南北0.28 / 10°N; (2)2000 - 2015年期间,IMAR中的EVI显示出略微上升的趋势,增长率为0.021 / 10A。其中,具有轻微和显着改善的地区分别占总面积的21.1%和7.5%,具有轻微且显着降解的24.6%和4.3%; (3)EVI气候因子的时间滞后分析表明,研究面积的植被生长在1-2个月,相对湿度落后于1-2个月,分别降水; (4)在生长季节期间,IMAR中降水驱动区(21.8%)的EVI远大于空气温度驱动区(8%)和相对湿度驱动区(11.6%)。 IMAR中植被的生长通常具有与降水最近的关系。植被的生长不依赖于单一气候因子的变化。相反,它是多气候因素和人类活动的综合作用的结果。

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