Filters: partyWithName: U.S. Fish and Wildlife Service (X) > partyWithName: LCC Network Data Steward (X)
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This project will build a Geographic Information System (GIS) database for the Plains and Prairie Potholes LCC comprised of1) wetland abundance, 2) land cover, 3) primary productivity, and 4) wetness. Ultimately, the database will provide foundational information for future research and will facilitate management and conservation activities for multiple species across the entire LCC.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Conservation Planning,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC,
Landscape conservation design is an opportunity for the U.S. Fish and Wildlife Service’s National Wildlife Refuge System (NWRS) to work collaboratively with partners to develop and implement a landscape approach that ensures our priority resources will have the capacity to cope with and respond to future change. This research models patterns of climate connectivity to map linkages among protected areas that promote long-term landscape connectivity across Alaska and northwest Canada under projected climate change. Using spatial data on current land use and climate patterns, and circuit theory-based connectivity modeling approaches, this research identifies corridors that follow climate gradients and avoid human modified...
Categories: Data,
Project;
Types: ArcGIS Map Package,
Downloadable;
Tags: Academics & scientific researchers,
Academics & scientific researchers,
Conservation Design,
Conservation Design,
Conservation NGOs,
Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2011,
2011,
2012,
2012,
2013,
Monarch butterfly and other pollinators are in trouble. Monarch butterfly habitat— including milkweed host plants and nectar food sources—has declined drastically throughout most of the United States. Observed overwinter population levels have also exhibited a long-term downward trend, suggesting a strong relationship between habitat loss and monarch population declines. Preliminary research results from a U.S. Geological Survey led effort indicate that we need a comprehensive conservation strategy that includes all land types in order to stabilize monarch populations at levels necessary to adequately minimize extinction risk—urban areas will likely play a critical role. This strategy reflects an integrated and...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
2016,
CO-01,
CO-02,
CO-03,
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, we initiated research to estimate sightability correction factors (SCF_c) using radiocollared animals to apply to abundance estimates obtained via the GeoSpatial Population Estimator (GSPE) method. The Project Goal is to develop a model that...
Numerous studies show that ongoing climate change will have major effects on the distribution and conservation status of much of our biodiversity. Resource managers urgently need a means to identify which species and habitats are most vulnerable to decline in order to direct resources where they will be most effective. To address this need, NatureServe and Heritage Program collaborators have developed a Climate Change Vulnerability Index (CCVI) to provide a rapid, scientifically defensible assessment of species’ vulnerability to climate change. The CCVI integrates information about exposure to altered climates and species-specific sensitivity factors known to be associated with vulnerability to climate change. This...
Categories: Data,
Project;
Tags: 2010,
2011,
Academics & scientific researchers,
Applications and Tools,
Applications and Tools,
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