Stream data are needed to enable managers to understand baseline conditions, historic trends, and potential impacts of climate change on stream temperature and flow, and in turn on aquatic species in freshwater ecosystems.
NorEaST is being developed to provide a coordinated, multi-agency regional web portal to compile, store, map, and distribute continuous stream temperature locations and data across the Northeastern U.S.
The SAVS uses an online questionnaire with 22 criteria to predict vulnerability or population response of species to provide a framework for assessing vulnerability to future climate change. The 22 multiple-choice questions are grouped into four categories by theme: habitat, physiology, phenology and biotic interactions. The questionnaire is completed using information gathered from published materials, personal knowledge, or expert consultation.
SAVS uses an online questionnaire with 22 criteria to predict vulnerability or resilience of an individual species to future climate change. Numerical scores indicating vulnerability or resilience for terrestrial vertebrate species are generated.
Significant amounts of stream temperature data have been collected during the last two decades, but strategic coordination of these collection efforts within and among agencies has been lacking. The NorWeST project has aggregated steam temperature data from the Northwestern U.S. into a publicly available database and also uses the data to develop stream temperature models.
NorWeST aggregates stream temperature data from the Northwestern U.S. into a stream temperature database, and uses the data to develop stream temperature models.
The Climate Change Atlases can help to answer a range of questions concerning current and projected suitable habitat (year 2100) for 134 tree species and 147 bird species in the eastern U.S.
The Climate Change Atlases can be used to examine the current distribution of tree and bird habitats in the eastern United States, and how tree and bird distribution might change in response to different climate scenarios.