Skip to main content
Advanced Search

Filters: Tags: Mountain pine beetle (X)

31 results (87ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
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)...
thumbnail
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...
thumbnail
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.
thumbnail
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...
thumbnail
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.
thumbnail
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,...
thumbnail
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,...
thumbnail
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...
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...
thumbnail
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...
thumbnail
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.
thumbnail
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...
thumbnail
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...
Droughts and insect outbreaks are primary disturbance processes linking climate change to tree mortality in western North America. Refugia from these disturbances—locations where impacts are less severe relative to the surrounding landscape—may be priorities for conservation, restoration, and monitoring. In this study, hypotheses concerning physical and biological processes supporting refugia were investigated by modelling the landscape controls on disturbance refugia that were identified using remotely sensed vegetation indicators. Refugia were identified at 30-m resolution using anomalies of Landsat-derived Normalized Difference Moisture Index in lodgepole and whitebark pine forests in southern Oregon, USA, in...
thumbnail
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,...
thumbnail
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...
thumbnail
A warmer climate has increased the spread of mountain Pine beetle. Historically, mountain pine beetle populations were limited to southern regions due to cold temperature intolerance. However, increasing winter temperatures has allowed the species to spread further north, contributing to the loss of over 1 million ha of forest in the United States and 9 million ha in Canada.Data on mountain pine beetle damage was compiled by CMP Hi5 Working Group technical team. Aerial detection surveys between 1999–2020 for Montana, Alberta, and Waterton Lakes National Park were compiled and assigned a severity score using the USDA Forest Service classification system. Severity is based on crown mortality from aerial images, with...
Climatic changes are predicted to significantly affect the frequency and severity of disturbances that shape forest ecosystems. We provide a synthesis of climate change effects on native bark beetles, important mortality agents of conifers in western North America. Because of differences in temperature-dependent life-history strategies, including cold-induced mortality and developmental timing, responses to warming will differ among and within bark beetle species. The success of bark beetle populations will also be influenced indirectly by the effects of climate on community associates and host-tree vigor, although little information is available to quantify these relationships. We used available population models...
thumbnail
Aerial Insect and Disease Detection Survey(ADS) for Mountain Pine Beetle activity in 1994 - 2010. The ADS data was obtained to be used for BLMs REA Process for the Northwestern Great Plains ecoregion. The original data was combined from USFS regions within the ecoregion then clipped to the Northwestern Great Plains Level III ecoregion plus a buffer that consists of the 5th level Hydrologic Unit Code (HUC) watersheds that intersect the ecoregion. 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....
thumbnail
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 Middle Rockies Ecoregion. Categorical values were assigned based on key ecological attributes table.


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 Weather Suitability for the Occurrence of Mortality in Whitebark Pine from Mountain Pine Beetles, 1901-2009, Northern Rockies Study Area 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 MIR 2011 Mountain Pine Beetle Infestation Scores BLM REA NWP 2011 Mountain Pine Beetle Infestation Scores BLM REA NWP 2011 Mountain Pine Beetle Infestation BLM REA MIR 2011 Mountain Pine Beetle Infestations Whitebark Pine- Mountain Pine Beetle 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) Whitebark Pine- Mountain Pine Beetle 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, 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 Infestation Scores BLM REA MIR 2011 Mountain Pine Beetle Infestations BLM REA NWP 2011 Mountain Pine Beetle Infestation Scores BLM REA NWP 2011 Mountain Pine Beetle Infestation