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Insect outbreaks are significant disturbances in forests of the western United States, with infestation comparable in area to fire. Outbreaks of mountain pine beetle (Dendroctonus ponderosae Hopkins) require life cycles of one year with synchronous emergence of adults from host trees at an appropriate time of year (termed “adaptive seasonality�) to overwhelm tree defenses. The annual course of temperature plays a major role in governing life stage development and imposing synchrony on mountain pine beetle populations. Here we apply a process-based model of adaptive seasonality across the western United States using gridded daily temperatures from the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP)...
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Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Data are a list of points in comma separated text format. Point coordinates are the center of each 1 km grid cell.
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This time-enabled map service depicts the infestation of the mountain pine beetle within Banff, Kootenay and Yoho National Parks between 1999 and 2007. It also contains reference boundaries for the parks, areas susceptible to the mountain pine beetle and areas of lodgepole pine.
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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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Forests are of tremendous ecological and economic importance. They provide natural places for recreation, clean drinking water, and important habitats for fish and wildlife. However, the warmer temperatures and harsher droughts in the west that are related to climate change are causing die-offs of many trees. Outbreaks of insects, like the mountain pine beetle, that kill trees are also more likely in warmer, drier conditions. To maintain healthy and functioning forest ecosystems, one action forest managers can take is to make management decisions that will help forests adapt to future climate change. However, adaptation is a process based on genetic change and few tools are currently available for managers to use...
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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 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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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on downscaled data from various emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC, CNRM, Had-CC,...
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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC,...
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This dataset contains mountain pine beetle infestations from aerial detection survey and GAP landcover data. Categorical values were assigned based on analysis of percentage of evergreen forests affected by mountain pine beetle infestations for the Northwest Plains Ecoregion. Categorical values were assigned based on key ecological attributes table. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The User is encouraged to carefully consider the content of the metadata file associated with...
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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Weather suitability index was calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates...
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Estimates of the probability of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cumulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Data are a list of points in comma separated text format. Point coordinates are the center of each 1 km grid cell.
In British Columbia, Canada, management efforts used to control mountain pine beetle (Dendroctonus ponderosae Hopkins) outbreaks have included treatment of infested trees with an organic arsenic pesticide, monosodium methanearsonate (MSMA). Cumulative pesticide applications over a large geographic area have generated concerns about arsenic loading in the environment and potential toxicity to nontarget wildlife. We investigated woodpecker foraging patterns in infested stands with and without MSMA treatment using a combination of tree debarking indices, point count surveys, and radiotelemetry methods in addition to insect flight traps to measure mountain pine beetle emergence. Debarking indices indicated woodpecker...
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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, avverage April-Aug temperature, and cummulative current and previous year summer precipitation. Analysis done at a 1km grid cell resolution. Weather suitability index calculated by summing the weather terms in the model. Calculated for 2010 through 2099 based on numerous downscaled data under several emissions scenarios. GCMs include: BCC, CanESM, CCSM, CESM, CESM-BGC, CMCC,...
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Estimates of weather suitability for the occurrence of mortality in whitebark pine from mountain pine beetles as determined from a logistic generalized additive model of the presence of mortality as functions of the number of trees killed last year, the percent whitebark pine in each cell, minimum winter temperature, average fall temperature, average April - Aug temperature, and cummulative current and previous year summer precipitation. Analysis was done at a 1 km grid cell resolution. Weather suitability index was calculated by summing the weather terms in the model. Calculated for 1991 through 2009 based on 800 meter PRISM weather data. Data are a list of points in comma separated text format. Point coordinates...
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Cold-induced mortality is a key factor driving mountain pine beetle( Dendroctonus ponderosae) population dynamics. In this species, the supercooling point (SCP) is representative of mortality induced by acute cold exposure. Mountain pine beetle SCP and associated cold-induced mortality fluctuate throughout a generation, with the highest SCPs prior to and following winter. Using observed SCPs of field-collected D. ponderosae larvae throughout the developmental season and associated phloem temperatures, we developed a mechanistic model that describes the SCP distribution of a population as a function of daily changes in the temperature-dependent processes leading to gain and loss of cold tolerance. It is based on...


map background search result map search result map Mountain Pine Beetle Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Greater Yellowstone Ecosystem Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Northern Rockies Study Area Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Cascades Study Area Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Greater Yellowstone Ecosystem Study Area Modeled western pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Using Genetic Information to Understand Drought Tolerance and Bark Beetle Resistance in Whitebark Pine Forests Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Cascades Study Area Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Greater Yellowstone Ecosystem Study Area Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Northern Rockies Study Area BLM REA NWP 2011 Mountain Pine Beetle Infestation Scores BLM REA MIR 2011 Mountain Pine Beetle Infestations Using Genetic Information to Understand Drought Tolerance and Bark Beetle Resistance in Whitebark Pine Forests Mountain Pine Beetle Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Greater Yellowstone Ecosystem Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Greater Yellowstone Ecosystem Study Area Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Greater Yellowstone Ecosystem Study Area Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Cascades Study Area Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Cascades Study Area Modeling cold tolerance in the mountain pine beetle (Dendroctonus ponderosae) Probability of Whitebark Pine Mortality from Mountain Pine Beetle, 1997-2009, Northern Rockies Study Area Weather suitability for mountain pine beetle outbreaks in whitebark pine forests, 2010-2099, Northern Rockies Study Area BLM REA MIR 2011 Mountain Pine Beetle Infestations BLM REA NWP 2011 Mountain Pine Beetle Infestation Scores Modeled western pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006