Studer S, Stöckli R, Appenzeller C, Vidale P L
Federal Office of Meteorology and Climatology MeteoSwiss, Krähbühlstr. 58, 8044 Zurich, Switzerland.
Int J Biometeorol. 2007 May;51(5):405-14. doi: 10.1007/s00484-006-0080-5. Epub 2007 Jan 18.
Long time series of ground-based plant phenology, as well as more than two decades of satellite-derived phenological metrics, are currently available to assess the impacts of climate variability and trends on terrestrial vegetation. Traditional plant phenology provides very accurate information on individual plant species, but with limited spatial coverage. Satellite phenology allows monitoring of terrestrial vegetation on a global scale and provides an integrative view at the landscape level. Linking the strengths of both methodologies has high potential value for climate impact studies. We compared a multispecies index from ground-observed spring phases with two types (maximum slope and threshold approach) of satellite-derived start-of-season (SOS) metrics. We focus on Switzerland from 1982 to 2001 and show that temporal and spatial variability of the multispecies index correspond well with the satellite-derived metrics. All phenological metrics correlate with temperature anomalies as expected. The slope approach proved to deviate strongly from the temporal development of the ground observations as well as from the threshold-defined SOS satellite measure. The slope spring indicator is considered to indicate a different stage in vegetation development and is therefore less suited as a SOS parameter for comparative studies in relation to ground-observed phenology. Satellite-derived metrics are, however, very susceptible to snow cover, and it is suggested that this snow cover should be better accounted for by the use of newer satellite sensors.
目前,已有长时间序列的地面植物物候数据,以及超过二十年的卫星衍生物候指标,可用于评估气候变率和趋势对陆地植被的影响。传统植物物候学能提供关于单个植物物种的非常准确的信息,但空间覆盖范围有限。卫星物候学允许在全球范围内监测陆地植被,并在景观层面提供综合视角。将这两种方法的优势结合起来,对气候影响研究具有很高的潜在价值。我们将地面观测到的春季阶段的多物种指数与两种类型(最大斜率法和阈值法)的卫星衍生季初(SOS)指标进行了比较。我们聚焦于1982年至2001年的瑞士,结果表明多物种指数的时空变异性与卫星衍生指标吻合良好。所有物候指标都如预期那样与温度异常相关。事实证明,斜率法与地面观测的时间发展以及阈值定义的SOS卫星测量结果有很大偏差。斜率春季指标被认为指示了植被发育的不同阶段,因此不太适合作为与地面观测物候相关的比较研究的SOS参数。然而,卫星衍生指标对积雪非常敏感,建议使用更新的卫星传感器更好地考虑积雪情况。