B21G-0554
Development and Validation of National Phenology Data Products

Tuesday, 15 December 2015
Poster Hall (Moscone South)
Jake F Weltzin1, Alyssa Rosemartin1, Theresa M Crimmins1, Katharine Gerst1 and Staff of the USA-NPN National Coordinating Office, (1)USA National Phenology Network, Tucson, AZ, United States
Abstract:
The USA National Phenology Network (USA-NPN; www.usanpn.org) serves science and society by promoting a broad understanding of plant and animal phenology and the relationships among phenological patterns and environmental change. The National Phenology Database (NPDb) maintained by USA-NPN contains almost 6 million in-situ observation records for plants and animals for the period 1954-2015. These data have been used in a number of science, conservation and natural resource management applications, including national assessments of historical and potential future trends in phenology and regional assessments of spatio-temporal variation in organismal activity. Customizable downloads of raw or summarized data, freely available from www.usanpn.org, are accompanied by metadata, data-use and data-attribution policies, published protocols, version/change control, documentation of QA/QC, and links to publications that use historical or contemporary data held in the NPDb. The National Coordinating Office of USA-NPN is developing a suite of standard data products (e.g., quality-controlled raw or summarized status data) and tools (e.g., a new visualization tool released in 2015) to facilitate use and application by a diverse set of data users. This presentation outlines a workflow for the development and validation of spatially gridded phenology products, drawing on recent work related to the Spring Indices now included in two national Indicator systems. In addition, we discuss how we engage observers to collect in-situ data to validate model predictions. Preliminary analyses indicate high fidelity between historical in-situ and modeled observations on a national scale, but with considerable variability at the regional scale. Regions with strong differences between expected and observed data are identified and will be the focus of in-situ data collection campaigns using USA-NPN’s Nature’s Notebook on-line user interface (www.nn.usanpn.org).