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Theresa Crimmins

Purpose This provisional Biogeographic Analysis Package provides a comparison between the annual Spring Indices First Leaf and First Bloom within the user-selected area of interest. Change in the timing of seasonal biological events (phenology – e.g., leaf-out, migration, and reproduction) is one of the most proximate responses to climate change. Information on phenological changes supports managers in adjusting the timing of activities such as treating invasive species, operating visitor facilities, and scheduling climate-related events (e.g., flower festivals, autumn leaf-viewing). Recent work shows that 53% of natural resource parks managed by the United States National Park Service are experiencing extremely...
Purpose This provisional Biogeographic Analysis Package provides an analysis of an annual Spring Index, First Bloom, within the user-selected area of interest. Change in the timing of seasonal biological events (phenology – e.g., leaf-out, migration, and reproduction) is one of the most proximate responses to climate change. Information on phenological changes supports managers in adjusting the timing of activities such as treating invasive species, operating visitor facilities, and scheduling climate-related events (e.g., flower festivals, autumn leaf-viewing). Recent work shows that 53% of natural resource parks managed by the United States National Park Service are experiencing extremely early springs (that...
Knowledge co-production, a process that involves both creators and users of information in knowledge generation, is growing in popularity in the conservation and ecology fields. While examples of successful co-production are becoming more common, many barriers and challenges remain in this work. Here, we reflect on our experiences in knowledge co-production from three recent case studies, using a prominent framework to understand and improve our efforts at each phase of the co-production process. Our reflections yield insights that may help other scientists seeking to support decision-making. We found that paying particular attention to the composition of the team and connecting with agency representatives early...
Categories: Publication; Types: Citation
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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