|
|
Recent open data policies of the Office of Science and Technology Policy (OSTP) and Office of Management and Budget (OMB), which were fully enforceable on October 1, 2016, require that federally funded information products (publications, etc.) be made freely available to the public, and that the underlying data on which the conclusions are based must be released. A key and relevant aspect of these policies is that data collected by USGS programs must be shared with the public, and that these data are subject to the review requirements of Fundamental Science Practices (FSP). These new policies add a substantial burden to USGS scientists and science centers; however, the upside of working towards compliance with...
Categories: Project;
Tags: 2016,
All Funded Projects,
Best Practices,
Completed,
Computational Tools and Services, All tags...
Data and Information Assets,
Publication,
Source Code,
Web Application,
Web Service, Fewer tags
|
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. ...
Categories: Project;
Tags: 2018,
All Funded Projects,
Completed,
Computational Tools and Services,
Data and Information Assets, All tags...
Software,
Source Code,
Web Application,
Web Service,
Workshop, Fewer tags
|
The USA National Phenology Network (USA-NPN) and the North Central Climate Science Center (NC CSC) seek to enhance scientific understanding of how climate trends and variability are linked to phenology across spatial scales, with the ultimate goal of being able to understand and predict climate impacts on natural resources. A key step towards achieving this long-term goal is connecting local observations (individual plants or animals) of phenology with those at regional to continental scales (10 km to 10,000 km), which may ultimately be used to better understand phenology across ecosystems and landscapes and thereby inform natural resource management. The specific shorter-term goals of this effort are to process...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2016,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools, All tags...
Forests,
Grasslands and Plains,
Landscapes,
North Central,
North Central CASC,
Other Landscapes,
Other Wildlife,
Other Wildlife,
Plants,
Plants,
Projects by Region,
Science Tools for Managers,
Science Tools for Managers,
Wildlife and Plants,
Wildlife and Plants, Fewer tags
|
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending changes in ecosystem dynamics (that is, the approaching near-term changes in ecosystems). Managers may use the information in forecasts to minimize the adverse effects of ecological stressors and optimize the effectiveness of management actions. To explore the potential for ecological forecasting to enhance natural resource management, the U.S. Geological Survey (USGS) convened a workshop titled “Building capacity for Applied Short-Term Ecological...
|
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...
|
View more...
|
