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This suite of datasets consists of phenology data on over 1000 species of plants and animals (2009-present) and data on lilacs and honeysuckles (1956-present), across the United States. The data were collected by citizen and professional observers, and archived and distributed by the USA National Phenology Network (www.usanpn.org). Protocols are available in Denny et al, 2014 and datum is WGS84. This collection represents a suite of three data products: 1) Status and Intensity Data (phenophase status records of presence or absence of the phenophase, as well as information about the intensity with which the phenophase was expressed for each individual plant or species of animal at a site, on each visit by an observer),...
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The USA National Phenology Network has available a series of gridded products enabling researchers to analyze daily Accumulated Growing Degree Days (AGDD) from 2016 through the current year. Heat accumulation is commonly used as a way of predicting the timing of phenological transitions in plants and animals. Products generated by the USA-NPN begin accumulation on January 1 and use either a 32F or 50F base temperature.
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The dataset is comprised of leafing and flowering data collected across the continental United States from 1956 to 2014 for purple common lilac ( Syringa vulgaris), a cloned lilac cultivar (S. x chinensis ‘Red Rothomagensis’) and two cloned honeysuckle cultivars ( Lonicera tartarica ‘Arnold Red’ and L. korolkowii ‘Zabeli’). Applications of this rich legacy dataset range from detecting regional weather patterns to understanding the impacts of global climate change on the onset of spring at the national scale. While minor changes in methods have occurred over time, and some documentation is lacking, the dataset has proven robust in combination with climatic data for detecting spatio-temporal changes in the onset...
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This page contains NetCDF files of the Spring Leaf and Bloom Indices spanning 1880-2013. These files were created and are maintained by the USA National Phenology Network (www.usanpn.org). The Extended Spring Indices are mathematical models that predict the "start of spring" (timing of leaf out or bloom for species active in early spring) at a particular location (Schwartz 1997, Schwartz et al. 2006, Schwartz et al. 2013). These models were constructed using historical observations of the timing of first leaf and first bloom in a cloned lilac cultivar (S. x chinensis 'Red Rothomagensis') and two cloned honeysuckle cultivars (Lonicera tatarica 'Arnold Red' and L. korolkowii 'Zabelii'). Primary inputs to the model...
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This datafile consists of a subset of plant phenology observations drawn from the USA National Phenology Network’s National Phenology Database (www.usanpn.org). The data were collected by citizen and professional observers and archived and distributed by the USA National Phenology Network. Protocols are available in Denny et al. (2014). This datafile consists of plant phenology observations that were used in an effort to construct predictive models of phenophase transitions using accumulated growing degree days based on PRISM daily minimum and maximum temperature data. The phenology data were queried from the USA National Phenology Network on 9-25-16.
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