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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...
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 Forest Health Technology Enterprise Team (FHTET) was created by the Deputy Chief for State and Private Forestry in February 1995 to develop and deliver forest health technology services to field personnel in public and private organizations in support of the Forest Service’s land ethic, to “promote the sustainability of ecosystems by ensuring their health, diversity, and productivity.” This dataset shows the total basal area of all tree species as square feet per acre.For more information: http://www.fs.fed.us/foresthealth/technology/nidrm2012.shtml
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: Academics & scientific researchers,
AppLCC,
AppLCC,
Appalachian,
BA,
Live tree species basal area from 2000 - 2009 for loblolly pine (Pinus taeda), longleaf pine (Pinus palustris), shortleaf pine (Pinus echinata), and slash pine (Pinus elliottii) clipped to the Gulf Coastal Plains and Ozarks LCC geography.Data were derived from the USFS live tree species basal area of the contiguious United States (2000-2009) Wilson, Barry T.; Lister, Andrew J.; Riemann, Rachel I.; Griffith, Douglas M. 2013. Live tree species basal area of the contiguous United States (2000-2009). Newtown Square, PA: USDA Forest Service, Northern Research Station. Abstract from html metadata for USFS live tree species basal area of the contiguious United States (2000-2009). This data product contains raster maps...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: BIOSPHERE,
BIOSPHERE,
Basal Area,
Conservation planning,
Data,
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.
Two maps (this grid, CONUS_BALOSSI and AK_BALOSSI - see accompanying Grid and its associated metadata) represent, in map form, the total potential BA loss resulting from the application of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, it is the compilation of all BA losses resulting from running all 188 models of agent/host interactions which result in mortality.
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...
This map is derived from pct_baloss, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, its 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.
Two maps (PCT_BALOSS - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS_AK - see accompanying 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.
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...
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...
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...
These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature and soil moisture, and values are summarized into long-term mean conditions, and anomalies observed between forest inventory sampling events for each plot. Data also include plot locations (with uncertainty introduced by the US Forest Service to maintain private property rights), plot basal area, and several variables related to estimated mortality rate of ponderosa pine trees under various assumptions about basal area conditions.
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...
These datasets are products of Phase II of the Appalachian Landscape Conservation Cooperative’s (LCC) landscape conservation design (LCD) created by Clemson University as part of the LCC-funded project, “Interactive Conservation Planning for the Appalachian LCC”. The Appalachian NatureScape Design incorporates and models newly developed data and information from all Appalachian LCC funded research projects as well as key existing datasets from partners to produce a series of maps that integrate aquatic connectivity with terrestrial significant habitats to guide conservation planning and decision making.Conservation Planning, a process of spatially identifying and prioritizing lands and waters important for functioning...
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Conservation Plan/Design/Framework,
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...
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. The key...
These data were compiled for research pertaining to the effects of stand density treatments on growth rates in semi-arid, ponderosa pine forests. Also, these data examined how the planned restoration treatments in the Four Forests Restoration Initiative (4FRI), the largest forest restoration project being implemented in the United States, would alter landscape-scale patterns of forest growth and drought vulnerability throughout the 21st century. Using drought-growth relationships developed within the landscape, we considered a suite of climate and thinning scenarios and estimated both average forest growth and the proportion of years with extremely low growth as a measure of vulnerability to long-term decline. The...
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