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The geographic distribution of stream reaches with potential to support high quality habitat for salmonids has bearing on the actual status of habitats and populations over broad spatial extents. As part of the Coastal Landscape Analysis and Modeling Study (CLAMS), we examined how salmon-habitat potential was distributed relative to current and future (+100 years) landscape characteristics in the Coastal Province of Oregon, USA. The intrinsic potential to provide high-quality rearing habitat was modeled for juvenile coho salmon (Oncorhynchus kisutch) and juvenile steelhead (O. mykiss) based on stream flow, valley constraint, and stream gradient. Â See Supplemental Information for additional detail. BLM: (Bureau...
A map service on the www depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Map service is symbolized showing US Forest Service...
A map service on the www depicting status of parcels for Forest Service land congressionally designated as wilderness such as National Wilderness Areas. This map service provides display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Best available source with a target scale of 1:24000 for Continental U.S., Puerto Rico, and Hawaii and 1:63360 for Alaska.
A map service on the www depicting units designated by the Secretary of Agriculture for conservation and utilization under Title III of the Bankhead-Jones Farm Tenant Act. This map service provides display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Best available source with a target scale of 1:24000 for Continental U.S., Puerto Rico, and Hawaii and 1:63360 for Alaska.
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
An area encompassing all the National Forest System lands within the Greater Yellowstone Ecosystem (GYE) administered by an administrative unit. The area encompasses private lands, other governmental agency lands, and may contain National Forest System lands within the proclaimed boundaries of another administrative unit. All National Forest System lands fall within one and only one Administrative Forest Area.
From attached metadata: "Regional range allotment coverage of Region 2, Rocky Mountain Region, USDA Forest Service. The regional coverage reflects the range allotment data from each of the National Forests and Grasslands within the region. The regional allotment coverage was compiled by the Regional Office's Geospatial Services office."
The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
A map service on the www depicting the status of areas showing National Forest System land parcels that have management or use limits placed on them by legal authority. Examples are: National Recreation Area, National Monument, and National Game Refuge. This map service provides display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Best available source with a target scale of 1:24000 for Continental U.S., Puerto Rico, and Hawaii and 1:63360 for Alaska. Data displays at scale 1:5,000,000.
A map service on the www depicting areas as surface ownership parcels dissolved on the same ownership classification. This map service was prepared to describe Forest Service Basic Ownership boundaries. The map is symbolized showing US Forest Service owned land only. Non-Forest owned land is 100% transparent. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Map service is symbolized showing US Forest Service owned land only. Non-Forest owned land is 100% transparent. Data displays at scale 1:3,000,000.
A subset (clipped to the boundaries of Wyoming) of a national dataset containing the National Forest Administrative boundaries for the lower 48 United States, including Alaska and Puerto Rico. The data contains polygons depicting the boundary encompassing all the National Forest System (NFS) lands administered by the Administration Unit. The nationwide dataset is comprised of data extracted from multiple sources; Regional ALP coverages, Regional GIS coverages, Cartographic Feature Files (CFF) and other sources, such as USGS and BLM 1:100000 scale maps. The nationwide dataset was created from consolidating regional forest wide coverages. Data was validated using local stewardship to provide the most current and accurate...
Categories: Data;
Types: Downloadable;
Tags: ALP Land Dataset,
Admin_Forest,
Adminstrative Forest Boundaries,
Adminstrative Forest Boundary,
Adminstrative Units,
The acquisition of forest parameters by host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team...
The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk map assessment, utilized within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
The geographic distribution of stream reaches with potential to support high quality habitat for salmonids has bearing on the actual status of habitats and populations over broad spatial extents. As part of the Coastal Landscape Analysis and Modeling Study (CLAMS), we examined how salmon-habitat potential was distributed relative to current and future (+100 years) landscape characteristics in the Coastal Province of Oregon, USA. The intrinsic potential to provide high-quality rearing habitat was modeled for juvenile coho salmon (Oncorhynchus kisutch) and juvenile steelhead (O. mykiss) based on stream flow, valley constraint, and stream gradient. See Supplemental Information for additional detail.<br /><br />BLM:...
The acquisition of host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team (RMIT) utilized a...
Two maps (PCT_BALOSS_AK - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS - see accompanying CONUS Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
A map service on the www depicting areas as surface ownership parcels dissolved on the same ownership classification. This map service was prepared to describe Forest Service Basic Ownership boundaries. The purpose of the data is to provide display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Map service is symbolized showing US Forest Service owned land and non-Forest Service land. Data displays at scale 1:3,000,000.
This map service provides display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others. Best available source with a target scale of 1:24000 for Continental U.S., Puerto Rico, and Hawaii and 1:63360 for Alaska.
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
2010 USDA Forest Service, Rocky Mountain Region Aerial Detection Survey Data. This data depicts the occurrence and location of forest insect, disease, and other biotic and abiotic causes of tree mortality and tree damage. Aerial survey data is collected by observing areas of tree damage or tree mortality from an aircraft and manually recording the information onto a map. Due to the nature of aerial surveys, this data will only provide rough estimates of location, intensity and the resulting trend information for agents detectable from the air. Many of the most destructive diseases are not represented in the data because these agents are not detectable from aerial surveys. The data presented should only be used as...
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