2012
DOI: 10.1002/joc.3625
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Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices

Abstract: Phenological data are simple yet sensitive indicators of climate change impacts on ecosystems, but observations have not been made routinely or extensively enough to evaluate spatial and temporal patterns across most continents, including North America. As an alternative, many studies use weather-based algorithms to simulate specific phenological responses. Spring Indices (SI) are a set of complex phenological models that have been successfully applied to evaluate variations and trends in the onset of spring a… Show more

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Cited by 112 publications
(139 citation statements)
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References 23 publications
(52 reference statements)
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“…Despite uncertainties associated with seasonal forecasts [National Research Council, 2010] Schwartz et al [2006] and Schwartz et al [2013] [cf. de Beurs and Henebry, 2005 several weeks, perhaps even a season, in advance (http:// www .esrl .noaa .gov/ psd/ csi/ events/ 2012/ marchheatwave/ anticipation .html).…”
Section: Phenological Forecasting: Predicting False Springs a Season mentioning
confidence: 99%
See 4 more Smart Citations
“…Despite uncertainties associated with seasonal forecasts [National Research Council, 2010] Schwartz et al [2006] and Schwartz et al [2013] [cf. de Beurs and Henebry, 2005 several weeks, perhaps even a season, in advance (http:// www .esrl .noaa .gov/ psd/ csi/ events/ 2012/ marchheatwave/ anticipation .html).…”
Section: Phenological Forecasting: Predicting False Springs a Season mentioning
confidence: 99%
“…Although phenological forecasting on comparable time scales is still in its infancy, several recent applications of phenological metrics, called phenometrics, are beginning to lay the groundwork for relating spring variations in the atmosphere to large-scale ecological effects [e.g., Cayan et al, 2001;Russell and Wallace, 2004;de Beurs and Henebry, 2008;Ault et al, 2011;McCabe et al, 2012;Schwartz et al, 2013]. These studies suggest that hemispheric patterns of variability in the atmosphere and ocean-which are sometimes predictable-play a fundamental role in governing the timing of spring throughout North America and elsewhere.…”
Section: Phenological Forecasting: Predicting False Springs a Season mentioning
confidence: 99%
See 3 more Smart Citations