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Theresa Crimmins

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Insect pests cost billions of dollars per year globally, negatively impacting food crops and infrastructure and contributing to the spread of disease. Timely information regarding developmental stages of pests can facilitate early detection and control, increasing efficiency and effectiveness. To address this need, the USA National Phenology Network (USA-NPN) created a suite of “Pheno Forecast” map products relevant to science and management. Pheno Forecasts indicate, for a specified day, the status of the insect’s target life cycle stage in real time across the contiguous United States. These risk maps enhance decision-making and short-term planning by both natural resource managers and members of the public. ...
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...
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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