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Trend changes in global greening and browning: contribution of short-term trends to longer-term change

机译:全球绿化和褐变的趋势变化:短期趋势对长期变化的贡献

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摘要

Field observations and time series of vegetation greenness data from satellites provide evidence of changes in terrestrial vegetation activity over the past decades for several regions in the world. Changes in vegetation greenness over time may consist of an alternating sequence of greening and/or browning periods. This study examined this effect using detection of trend changes in normalized difference vegetation index (NDVI) satellite data between 1982 and 2008. Time series of 648 fortnightly images were analyzed using a trend breaks analysis (BFAST) procedure. Both abrupt and gradual changes were detected in large parts of the world, especially in (semi-arid) shrubland and grassland biomes where abrupt greening was often followed by gradual browning. Many abrupt changes were found around large-scale natural influences like the Mt Pinatubo eruption in 1991 and the strong 1997/98 El Nino event. The net global figure considered over the full length of the time series showed greening since the 1980s. This is in line with previous studies, but the change rates for individual short-term segments were found to be up to five times higher. Temporal analysis indicated that the area with browning trends increased over time while the area with greening trends decreased. The Southern Hemisphere showed the strongest evidence of browning. Here, periods of gradual browning were generally longer than periods of gradual greening. Net greening was detected in all biomes, most conspicuously in croplands and least conspicuously in needleleaf forests. For 15% of the global land area, trends were found to change between greening and browning within the analysis period. This demonstrates the importance of accounting for trend changes when analyzing long-term NDVI time series.
机译:实地观测和卫星的植被绿色度数据的时间序列提供了过去几十年来世界上几个地区陆地植被活动变化的证据。植被绿色度随时间的变化可能包括一系列交替的绿化和/或褐变期。本研究通过检测1982年至2008年之间的归一化植被指数(NDVI)卫星数据的趋势变化来检验这种影响。使用趋势断裂分析(BFAST)程序分析了每两周648张图像的时间序列。在世界大部分地区,尤其是在(半干旱)灌木丛和草原生物群落中都发现了突然的和逐渐的变化,这些地区通常突然变绿之后逐渐变褐。在大规模自然影响附近发现了许多突变,例如1991年的皮纳图博火山爆发和1997/98年的厄尔尼诺现象很严重。自1980年代以来,在整个时间序列中考虑的全球净数字都显示出绿色趋势。这与以前的研究一致,但发现各个短期细分的变化率最高可提高五倍。时间分析表明,具有褐变趋势的区域随时间增加,而具有绿化趋势的区域减少。南半球显示出最强烈的褐变迹象。在此,逐渐变褐的时间通常长于逐渐变绿的时间。在所有生物群落中都发现了净绿化,最明显的是农田,而最不明显的是针叶林。在分析期内,发现全球15%的土地面积在绿化和褐变之间变化。这证明了在分析长期NDVI时间序列时考虑趋势变化的重要性。

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