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Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006

机译:1982-2006年遥感估计的北美春季物候比对,解释和评估

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AbstractShifts in the timing of spring phenology are a central feature of global change research. Long-term observations of plant phenology have been used to track vegetation responses to climate variability but are often limited to particular species and locations and may not represent synoptic patterns. Satellite remote sensing is instead used for continental to global monitoring. Although numerous methods exist to extract phenological timing, in particular start-of-spring (SOS), from time series of reflectance data, a comprehensive intercomparison and interpretation of SOS methods has not been conducted. Here, we assess 10 SOS methods for North America between 1982 and 2006. The techniques include consistent inputs from the 8 km Global Inventory Modeling and Mapping Studies Advanced Very High Resolution Radiometer NDVIg dataset, independent data for snow cover, soil thaw, lake ice dynamics, spring streamflow timing, over 16 000 individual measurements of ground-based phenology, and two temperature-driven models of spring phenology. Compared with an ensemble of the 10 SOS methods, we found that individual methods differed in average day-of-year estimates by plus or minus 60 days and in standard deviation by plus or minus 20 days. The ability of the satellite methods to retrieve SOS estimates was highest in northern latitudes and lowest in arid, tropical, and Mediterranean ecoregions. The ordinal rank of SOS methods varied geographically, as did the relationships between SOS estimates and the cryospheric-hydrologic metrics. Compared with ground observations, SOS estimates were more related to the first leaf and first flowers expanding phenological stages. We found no evidence for time trends in spring arrival from ground- or model-based data; using an ensemble estimate from two methods that were more closely related to ground observations than other methods, SOS trends could be detected for only 12% of North America and were divided between trends towards both earlier and later spring.
机译:摘要春季物候变化的时机变化是全球变化研究的主要特征。对植物物候学的长期观察已被用来追踪植被对气候变化的响应,但通常仅限于特定的物种和位置,可能并不代表天气模式。相反,卫星遥感用于大陆到全球的监视。尽管存在许多方法可以从反射率数据的时间序列中提取物候定时,特别是弹簧启动(SOS),但尚未进行SOS方法的全面比对和解释。在这里,我们评估了1982年至2006年间北美的10种SOS方法。这些技术包括来自8公里全球清单建模和制图研究的一致输入,以及先进的超高分辨率辐射计NDVIg数据集,积雪,土壤融化,湖冰动力学的独立数据,春季水流定时,超过16000次地面物候的单独测量以及两个温度驱动的春季物候模型。与10种SOS方法的集合相比,我们发现各个方法的年平均日估计差异为正负60天,标准差为正负20天。卫星方法检索SOS估计值的能力在北部纬度最高,而在干旱,热带和地中海生态区最低。 SOS方法的顺序等级在地理位置上有所不同,SOS估计值与冰冻圈水文指标之间的关系也有所不同。与地面观测结果相比,SOS估计值与第一叶片和第一花朵扩展物候阶段有关。我们没有发现基于地面或模型数据的春季到来时间趋势的证据。使用与其他方法相比与地面观测更紧密相关的两种方法的整体估计,仅在北美的12%就能检测到SOS趋势,并且将其划分为早春和晚春的趋势。

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