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Coupling of Vegetation Growing Season Anomalies and Fire Activity with Hemispheric and Regional-Scale Climate Patterns in Central and East Siberia

机译:西伯利亚中部和东部植被生长季节异常与火活动与半球和区域尺度气候模式的耦合

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摘要

An 18-yr time series of the fraction of absorbed photosynthetically active radiation (fAPAR) taken in by the green parts of vegetation data from the NOAA Advanced Very High Resolution Radiometer (AVHRR) instrument series was analyzed for interannual variations in the start, peak, end, and length of the season of vegetation photosynthetic activity in central and east Siberia. Variations in these indicators of seasonality can give important information on interactions between the biosphere and atmosphere. A second-order local moving window regression model called the “camelback method” was developed to determine the dates of phenological events at subcontinental scale. The algorithm was validated by comparing the estimated dates to phenological field observations. Using spatial correlations with temperature and precipitation data and climatic oscillation indices, two geographically distinct mechanisms in the system of climatic controls of the biosphere in Siberia are postulated: central Siberia is controlled by an “Arctic Oscillation–temperature mechanism,” while east Siberia is controlled by an “El Niño–precipitation mechanism.” While the analysis of data from 1982 to 1991 indicates a slight increase in the length of the growing season for some land-cover types due to an earlier beginning of the growing season, the overall trend from 1982 to 1999 is toward a slightly shorter season for some land-cover types caused by an earlier end of season. The Arctic Oscillation tended toward a more positive phase in the 1980s leading to enhanced high pressure system prevalence but toward a less positive phase in the 1990s. The results suggest that the two mechanisms also control the fire regimes in central and east Siberia. Several extreme fire years in central Siberia were associated with a highly positive Arctic Oscillation phase, while several years with high fire damage in east Siberia occurred in El Niño years. An analysis of remote sensing data of forest fire partially supports this hypothesis.
机译:分析了NOAA先进超高分辨率辐射计(AVHRR)仪器系列的植被数据的绿色部分所吸收的光合有效辐射(fAPAR)的分数的18年时间序列,分析了其开始,峰值,西伯利亚中部和东部植被的光合作用的结束时间和长度。这些季节性指标的变化可以提供有关生物圈与大气之间相互作用的重要信息。建立了称为“驼峰法”的二阶局部移动窗口回归模型,以确定次大陆尺度上物候事件的日期。通过将估计日期与物候场观测值进行比较来验证该算法。利用与温度和降水数据以及气候振荡指数的空间相关性,推测了西伯利亚生物圈气候控制系统中两个在地理上不同的机制:西伯利亚中部受“北极涛动-温度机制”控制,而西伯利亚东部受控制通过“厄尔尼诺—降水机制”。对1982年至1991年数据的分析表明,由于生长季节开始较早,某些土地覆盖类型的生长季节长度略有增加,但1982年至1999年的总体趋势是,一些由于季节提前而导致的土地覆盖类型。北极涛动在1980年代趋向于更积极的阶段,导致高压系统的普及率增加,但在1990年代趋向于不那么积极的阶段。结果表明,这两种机制还控制着西伯利亚中部和东部的火情。西伯利亚中部的数个极端火灾年与北极涛动高度正相关,而西伯利亚东部的数个火灾严重年份则发生在厄尔尼诺年。对森林火灾遥感数据的分析部分支持了这一假设。

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