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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...
Categories: Publication;
Types: Citation
Purpose This provisional Biogeographic Analysis Package provides an analysis of an annual Spring Index, First Leaf, 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 is,...
Phenology is the study of recurring plant and animal life-cycle stages which can be observed across spatial and temporal scales that span orders of magnitude (e.g., organisms to landscapes). The variety of scales at which phenological processes operate is reflected in the range of methods for collecting phenologically relevant data, and the programs focused on these collections. Consideration of the scale at which phenological observations are made, and the platform used for observation, is critical for the interpretation of phenological data and the application of these data to both research questions and land management objectives. However, there is currently little capacity to facilitate access, integration and...
Categories: Publication;
Types: Citation
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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