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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...
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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...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed...
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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 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...
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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...
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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.
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed within...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, and windthrow. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted primarily in July and August so that pest signatures may be identified during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as local if they can be completed within 1 day...
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Data represent presence/absence for cedar decline occurrence. Cedar decline refers to the dying or decline of yellow-cedar (Chamaecyparis nootkatensis) forests in Southeast Alaska and is characterized by red or yellow foliage in trees currently dying, or by white-gray snags of old mortality. Mapped snags can be standing dead as long as eighty years. The data were collected via aerial sketch mapping techniques and recorded on 1:250,000 USGS base maps from 500-3000 foot above ground level(AGL) observations. Survey coverage has been most intense for forests adjacent to shorelines and waterways. Data are collected, refined and updated on an annual basis. This data represent not one year's mortality but the cumulative...
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This dataset was developed for the BLM-Rapid Ecoregional Assessment (REA) project for the Seward Peninsula - Nulato Hills - Kotzebue Sound Lowlands. This datasets represents the Change Agent, pests and disease, specifically identifiying beetle infestations. The information was collected, cooperatively by aerial surveys by both the USFS, Forest Health Protection (FHP) and ADNR, Div. of Forestry with beetle data clipped to the REA project boundary. The data represents a 10 year cumulative effect for 1989-2010.
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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.
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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...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, and windthrow. The information was collected, cooperatively by aerial surveys by both the USFS, Forest Health Protection (FHP) and ADNR, Div. of Forestry. Surveys are conducted primarily in July and August so that pest "signatures" may be identified during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated such that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Surveys are flown in Southeast Alaska, Southcentral Alaska and Interior Alaska. The data represents a 10 year cumulative...
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, windthrow and other mortalities. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted in July and August so that pest "signatures" may be obtained during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed...
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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.
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This data represents areas of forest damage due to insect infestation, fire, flood, landslides, and windthrow. The information was collected by aerial surveys by both the USFS and ADNR, Div. of Forestry in cooperation with the Forest Health Protection (FHP) project. Surveys are conducted primarily in July and August so that pest "signatures" may be identified during the optimal period for symptom development of ocular estimation. The aerial survey is coordinated with known pest outbreaks so that the maximum extent of recent bark beetle damage (fading trees) and insect defoliation (discoloration, foliage loss) patterns may be determined. Aerial survey flights are termed as "local" if they can be completed within...
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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.


map background search result map search result map Forest Damage Survey for 1989 to 2010 for the North Pacific Landscape Conservation Cooperative, southern Alaska (a) SE Alaska Cumulative Yellow-Cedar Decline Forest Damage Survey for 1989 to 2010 for the North Pacific Landscape Conservation Cooperative, southern Alaska (b) Alaska Forest Damage Survey for 2006 Alaska Forest Damage Survey for 2005 Alaska Forest Damage Survey for 2004 Alaska Forest Damage Survey for 1998 Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Insect and Disease Risk, Contiguous US Alaska Forest Damage Survey - 2003 Alaska Forest Damage Survey - 2000 BLM REA SNK 2010 akfordmg1989 2010 BLM REA SNK 2010 CA Distribution Data: Bark Beetle BLM REA SNK 2010 CA Distribution Data: Bark Beetle SE Alaska Cumulative Yellow-Cedar Decline Forest Damage Survey for 1989 to 2010 for the North Pacific Landscape Conservation Cooperative, southern Alaska (b) Forest Damage Survey for 1989 to 2010 for the North Pacific Landscape Conservation Cooperative, southern Alaska (a) Alaska Forest Damage Survey for 2006 Alaska Forest Damage Survey for 2004 Alaska Forest Damage Survey for 2005 Alaska Forest Damage Survey for 1998 Alaska Forest Damage Survey - 2000 BLM REA SNK 2010 akfordmg1989 2010 Alaska Forest Damage Survey - 2003 Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Insect and Disease Risk, Contiguous US Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006