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The Tongass National Forest has identified resources that are important to stakeholders and vulnerable to climate-related stressors. Cooperators will review an action plan and convene a workshop to be held in Southeast Alaska in 2016. The workshop will foster collaboration between scientists, managers, and stakeholders. Workshop goals include: sharing information about climate-related stressors and effects on NPLCC Priority Resources in the Tongass National Forest; developing strategic priorities for improving understanding, reducing risks, and increasing adaptive capacity and resilience; coordinating support for increasing knowledge and informing resource managers
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AK-0,
Alaska,
Anadromous fish,
Applications and Tools,
Change in air temperature and precipitation,
Subalpine Connectivity of areas of low elevation and low human footprint in the North Pacific Landscape Conservation Cooperative study area. This application provides Subalpine Connectivity for 2000 and 2080 (A1B).The North Pacific Forest Landscape Connectivity Project uses three main geospatial layers as inputs into the creation of resistance map grids. One-km was decided as the resolution for the final resistance grids. The three primary geospatial layers used in this analysis were a digital elevation model (DEM), a vegetation layer, and a human footprint layer. Due to the geographic extent of the North Pacific Landscape Conservation Cooperative, digital elevation models from different sources had to be...
This set of 4 rasters shows mean temperature of the coldest month (deg C * 10) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
This service shows the Environmental Sensitivity Index (ESI) developed for the the outer coast of Washington in 1985. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated wetlands,...
This service shows the Environmental Sensitivity Index (ESI) developed for the Cook Inlet and Kenai Peninsula, AK, in 2002. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated...
This service shows the Environmental Sensitivity Index (ESI) developed for Price William Sound, AK, in 2000. Both linear and polygonal shoreline features are included here. Associated GIS datasets can be downloaded here.ESI maps use shoreline rankings to rate how sensitive an area of shoreline would be to an oil spill. The ranking scale goes from 1 to 10.A rank of 1 represents shorelines with the least susceptibility to damage by oiling. Examples include steep, exposed rocky cliffs and banks. The oil cannot penetrate into the rock and will be washed off quickly by the waves and tides.A rank of 10 represents shorelines most likely to be damaged by oiling. Examples include protected, vegetated wetlands, such...
Derived from: Wenger, Seth J.; Luce, Charles H.; Hamlet, Alan F.; Isaak, Daniel J.; Neville, Helen M. 2010. Macroscale hydrologic modeling of ecologically relevant flow metrics. Water Resources Research. 46: W09513. doi:10.1029/2009WR008839. Climate change is projected to alter the flow regimes of streams and rivers, with consequences for physical processes and aquatic organisms. To study these hydrologic changes, we have developed a database of flow metrics for streams in the western US (extent shown on the map to the left) under historical conditions and climate change scenarios. These are based on daily simulations of the Variable Infiltration Capacity (VIC) macroscale hydrologic model produced by the University...
Tags: NPLCC,
Stream Flow
This set of 4 rasters shows mean temperature of the coldest month (deg C * 10) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
Mean Annual Precipitation under the A2 Emissions Scenario (Western North America, 23 AOGCM Ensemble)
This set of 4 rasters shows mean annual precipitation (mm) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
This set of 4 rasters shows winter (Dec to Feb) mean temperature (deg C * 10) for Western North America under the A2 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
This set of 4 rasters shows winter (Dec to Feb) mean temperature (deg C * 10) for Western North America under the A1B Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
This set of 4 rasters shows mean summer (May to Sep) precipitation (mm) for Western North America under the B1 Emissions Scenario from the Intergovernmental Panel on Climate Change (IPCC). One layer shows the historic period (1961 to 1990), and there are three layers of future climate projections representing the 2020s, the 2050s, and the 2080s. These future layers are ensemble averages across all 23 CMIP3 AOGCMs (Coupled Model Intercomparison Project 3 Atmosphere-Ocean General Circulation Models). All layers have a resolution of 1 km, and are designed to capture climate gradients, temperature inversions, and rain shadows in the mountainous landscape of western North America.
Derived from: Wild Salmon Center. 2008. Pacific Salmon Conservation Assessment: Vector digital data. Portland, OR: Wild Salmon Center. The PSCA dataset represents a synthesis of the best available data and salmon abundance models as of 2007.  These data should be used at the scale of the range of Pacific Salmon. This database has not been formally assessed for its accuracy.  Based upon expert opinion and validation with the literature, the PSCA database accurately represents broad, range-wide patterns of salmon abundance and diversity.  Much of the data, particularly in the Russian Far East, is based upon modeling.  Refer to Pinsky et al (2009) for a complete summary of methods and data quality. Pinsky, M....
This dataset represents freshwater streams on the Chugach National Forest, Alaska. Streams were digitized from 1:31,380 orthophoto quads. Estuarine channel types may extend beyond shoreline. Selected stream arcs on Cordova Ranger District updated October and November 2002. Presence of fish species and stream class were updated.
The Renewable Energy Atlas is an interactive application of the renewable energy resources in the contiguous United States, Alaska and Hawaii. It illustrates the geographic distribution of wind, solar, geothermal, and biomass resources, as well as other pertinent information such as transportation network and administrative boundaries. The Atlas is for anyone interested in renewable energy in the country, including researchers, developers, and policy makers.
Grizzly Bear / Wolverine Management Priorities for the Squamish Forest District; ranked high, medium and low.
The purpose of this project is to use existing climate change datasets from the Climate Impacts Group (CIG) to summarize the the projected climate change impacts to United States Forest Service (USFS) lands in Oregon and Washington (Figure 1). Stakeholders in the Forest Service of this region were particularly interested in the variables that are likely to impact freshwater aquatic species, including projected changes in water availability, snowpack, and flood and low flow severities. Our objective is to summarize climate and hydrologic projections for USFS lands in Oregon and Washington. Since individual national forests may contain numerous distinct ecological regimes and cross hydrologic boundaries, averaging...
The U.S. Fish & Wildlife Service National Wetlands Inventory (NWI) produces current geospatially referenced information on the status, extent, characteristics and functions of wetland, riparian, deepwater and related aquatic habitats in priority areas to promote the understanding and conservation of these resources. The Emergency Wetland Resources Act of 1986 directs the Service to map the wetlands of the United States. Congressional mandates also require the NWI to produce status and trends reports to Congress at ten-year intervals. In 1984, the NWI published the first comprehensive and statistically valid estimate of the status of the Nation’s wetlands and wetland losses. The first wetlands status and trends...
Generally, the mapping of land cover is done by adopting or developing a land cover classification system, delineating areas of relative homogeneity (basic cartographic objects), then labeling these areas using categories defined by the classification system. More detailed attributes of the individual areas are added as more information becomes available, and a process of validating both polygon pattern and labels is applied for editing and revising the map. This is done in an iterative fashion, with the results from one step causing re-evaluation of results from another step. In its coarse filter approach to conservation biology (e.g., Jenkins 1985, Noss 1987), gap analysis relies on maps of dominant natural land...
ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers...
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