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This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
This dataset depicts total hectares of surveyed forest insect and disease damage summarized by 5th level watershed for each year between 1989 and 2007. Forest insect and disease survey data were obtained from the Alaska Forest Health Monitoring Clearinghouse. The insect and disease survey is conducted annually, and covers roughly 25% of the state each year, with special emphasis on high priority areas for trend monitoring. DRAFT watershed boundaries were obtained from the USGS. These watersheds are currently undergoing quality control and review; some watershed boundaries were unavailable at the time that this dataset was created. Due to incomplete coverage of the state during each year, this dataset should not...
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...
The growth of temperate forests is typically limited by the availability of nitrogen. Elevated concentrations of nitrate in some Catskill Mountain streams, which are tributary to New York City's water-supply reservoirs west of the Hudson River, indicate that the forests of this region are at the early stages of nitrogen saturation. That is, nitrogen is available in excess of the amount utilized by vegetation and soil microorganisms in the forests. Nitrogen saturation is a concern because the mobile nitrate that moves through soil is accompanied by other nutrients such as the base cations calcium and magnesium that are necessary for forest growth but are present in short supply in some Catskill soils. And, nutrient...
This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
The overall goal of this project has been the development of forest health and sensitivity indicators and “1st-generation” maps of potential sensitivity to disturbance for lands within watersheds of the NYC water supply in the Catskill Mountains of New York. The methodologies and data layers created in this effort can now be used to aid management decisions and help determine the extent and magnitude of terrestrial and aquatic responses to acidic deposition. The data products derived from this effort have been produced and documented in such a manner that stakeholders can now use these products for site evaluation as well as to perform more extensive analysis on the suite of readily available GIS and image-based...
This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
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...
The Forest Iinventory and Analysis (FIA) Program collects, analyzes, and reports information on the status  and trends of America’s forests. This information can be used in many ways, such as in evaluating wildlife habitat conditions, assessing the sustainability of ecosystem management practices, and supporting planning and decision-making activities undertaken by public and private enterprises. The FIA Program combines this information with related data on insects, diseases, and other types of forest damages and stressors to assess the health condition and potential future risks to forests. The program also projects what the forests are likely to be in 10 to 50 years under various scenarios. This information...
This is part of a 3-tiered dataset consisting ofIDS_shapes: footprint polygon featuresIDS_attrib: attribute descriptions of polygonsIDS_rollup: lookup information for features that are summarized as a group (rollup)This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map...
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...
This DataBasin Gallery contains 415 datasets on bark beetle-caused tree mortality in British Columbia and the western United States. Outbreaks of aggressive bark beetle species cause widespread tree mortality, affecting timber production, wildlife habitat, wildfire, forest composition and structure, biogeochemical cycling, and biogeophysical processes. As a result, agencies responsible for forest management in the United States and British Columbia conduct aerial surveys to map these forest disturbances. Here we combined aerial surveys from British Columbia (2001– 2010) and the western conterminous United States (1997–2010), produced 1-km2 grids of the area of crown mortality from bark beetle attack, and analyzed...
Since 1999, the B.C. Ministry of Forests has surveyed the majority of the forested land in the province using the classic sketch mapping technique known as the the overview survey method. The purpose of the survey is to record and report the general trends in disturbance patterns across the provincial forested land base (including provincial parks, private land, and Tree Farm Licences but not Federal parks). The survey has been a key source of data documenting the development of the current mountain pine beetle outbreak in the interior of B.C. Data from the BC MOF survey is also comparable to data collected from 1914 to 1995 by the Canadian Forest Service's former Forest Insect and Disease Survey Unit (FIDS)...
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 dataset is a union of seven datasets created by the Merriam-Powell Center for Environmental Research (MPCER) at Northern Arizona University using data from a a United States Forest Service (USFS) aerial mapping project. The dataset was modified by selecting individual species from the USFS data. The original USFS dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate...
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...
This dataset is a compilation of forest insect, disease and abiotic damage mapped by aerial detection surveys on forested areas in the United States. At this time, the National Aerial Survey Data Standards require only mortality and defoliation data be collected and reported. However, many cooperators collect data on other types of damage and therefore, the national database has been designed to accommodate these data. Low-level flights, typically 1,000 to 2,000 feet above ground level, are used to map forest damage. Observers use paper maps, typically 1:100,000 scale USGS maps, upon which they record the damage. There is also a digital sketchmap system that may be used. The digital system uses GPS to display the...
This dataset depicts total hectares of surveyed forest insect and disease damage summarized by 5th level watershed for each year between 1989 and 2007. Forest insect and disease survey data were obtained from the Alaska Forest Health Monitoring Clearinghouse. The insect and disease survey is conducted annually, and covers roughly 25% of the state each year, with special emphasis on high priority areas for trend monitoring. DRAFT watershed boundaries were obtained from the USGS. These watersheds are currently undergoing quality control and review; some watershed boundaries were unavailable at the time that this dataset was created. Due to incomplete coverage of the state during each year, this dataset should not...
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