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Book Development and Assessment of 30 Meter Pine Density Maps for Landscape Level Modeling of Mountain Pine Beetle Dynamics

Download or read book Development and Assessment of 30 Meter Pine Density Maps for Landscape Level Modeling of Mountain Pine Beetle Dynamics written by Benjamin A. Crabb and published by CreateSpace. This book was released on 2015-02-14 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting spatial patterns of mountain pine beetle (MPB) population success requires spatially explicit information on host pine distribution. We developed a means of producing spatially explicit datasets of pine density at 30-m resolution using existing geospatial datasets of vegetation composition and structure. Because our ultimate goal is to model MPB population success, three study areas in the western United States that have experienced recent MPB outbreaks were used for evaluation. Pine density estimates for each study area were compared to measures of cumulative MPB-caused pine mortality summarized from annual Aerial Detection Surveys (ADS). ADS data provide spatial and temporal representations of MPB-caused pine mortality collected by observers in fixed wing aircraft and are the most readily available estimates of landscape-scale impacts of MPB. Regression analyses using LANDFIRE ecological systems classifications (EVTs) as units of analysis showed that the best pine density estimates explained 75 to 98% of cumulative MPB-caused tree mortality.

Book Development and Assessment of 30 meter Pine Density Maps for Landscape level Modeling of Mountain Pine Beetle Dynamics

Download or read book Development and Assessment of 30 meter Pine Density Maps for Landscape level Modeling of Mountain Pine Beetle Dynamics written by Benjamin A. Crabb and published by . This book was released on 2012 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting spatial patterns of mountain pine beetle (MPB) population success requires spatially explicit information on host pine distribution. We developed a means of producing spatially explicit datasets of pine density at 30-m resolution using existing geospatial datasets of vegetation composition and structure. Because our ultimate goal is to model MPB population success, three study areas in the western United States that have experienced recent MPB outbreaks were used for evaluation. Pine density estimates for each study area were compared to measures of cumulative MPB-caused pine mortality summarized from annual Aerial Detection Surveys (ADS). ADS data provide spatial and temporal representations of MPB-caused pine mortality collected by observers in fixed wing aircraft and are the most readily available estimates of landscape-scale impacts of MPB. Regression analyses using LANDFIRE ecological systems classifications (EVTs) as units of analysis showed that the best pine density estimates explained 75 to 98% of cumulative MPB-caused tree mortality. LANDFIRE EVTs, which provide an index of the plant communities growing in a particular 30-m cell, effectively delineate distinct vegetation types that are meaningful suitability indicators for MPB-caused tree mortality. Our analyses suggested that available geospatial vegetation datasets derived from field data and remotely sensed imagery are useful for producing spatially explicit measures of pine density for use in landscape-level modeling of MPB dynamics.

Book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests

Download or read book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests written by Walter E. Cole and published by . This book was released on 1980 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Mountain Pine Beetle

Download or read book The Mountain Pine Beetle written by Pacific Forestry Centre and published by . This book was released on 2006 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents a synthesis of published information on mountain pine beetle (Dendroctonus ponderosae Hopkins [Coleoptera: Scolytidae]) biology and management with an emphasis on lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) forests of western Canada. Intended as a reference for researchers as well as forest managers, the book covers three main subject areas: mountain pine beetle biology, management, and socioeconomic concerns. The chapters on biology cover taxonomy, life history and habits, distribution, insect-host tree interactions, development and survival, epidemiology, and outbreak history. The management section covers management strategy, survey and detection, proactive and preventive management, and decision support tools. The chapters on socioeconomic aspects include an economic examination of management programs and the utilization of post-beetle salvage timber in solid wood, panelboard, pulp and paper products."--Publisher's description.

Book The Balance of Complexity in Mechanistic Modeling

Download or read book The Balance of Complexity in Mechanistic Modeling written by and published by . This book was released on 2006 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests

Download or read book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests written by Gene D. Amman and published by . This book was released on 1983 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decision Support Framework for Assessing Alternative Mountain Pine Beetle Management Strategies on Sustainable Forest Management

Download or read book Decision Support Framework for Assessing Alternative Mountain Pine Beetle Management Strategies on Sustainable Forest Management written by Ann Chan-McLeod and published by . This book was released on 2008 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: We developed a decision support framework that facilitates the assessment of alternative mountain pine beetle (MPB) management strategies on wildlife and other sustainable management indicators. Specifically, the framework permits the evaluation of ecological trade-offs (i.e., the probability of occurrence of bird species; landscape composition and configuration; wildlife habitat supply) under alternative salvage logging strategies. An additional function of the framework is to identify areas of uncertainty where data gaps continue to limit decision-making. We demonstrated the application of the decision support framework by evaluating the consequences of five specific salvage harvesting strategies in a case study of a forest landscape in northeastern British Columbia. The five strategies included: 1) a baseline scenario based on current management practices in MPB-affected landscapes; 2) a scenario for salvage-logging-only stands with high pine composition; 3) a scenario for salvage logging stands that included minimal pine; 4) a low retention scenario where relatively few trees are retained within large cutblocks; and 5) a high retention scenario where more trees are retained in large cutblocks than currently practiced. In our case study, we used a subset of the components identified in the conceptual framework since many parameters (e.g., stand-level attributes) were not widely available and could not be scaled up to the case study landscape. The components were for: 1) simulating infestation, salvage logging and forest succession, 2) tracking landscape-level changes in avian probability of occurrence and supply of broad habitat types, and 3) facilitating scenario analysis and decision-making. We identified some broad patterns in species responses over time and helped to identify areas of uncertainty that are the result of model limitations and data gaps. In our case study, avian response was dictated more by the bird species' natural history traits than by differences between management regimes. However, eligibility criterion for salvage logging (i.e., the amount of pine in the stand) was generally more important than the stand retention levels used in our simulations in governing post-harvesting avian response.

Book Evolution of a Research Prototype Expert System for Endemic Populations of Mountain Pine Beetle in Lodgepole Pine Forests

Download or read book Evolution of a Research Prototype Expert System for Endemic Populations of Mountain Pine Beetle in Lodgepole Pine Forests written by Dale L. Bartos and published by . This book was released on 1989 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Mountain Pine Beetle in Ponderosa Pine

Download or read book Mountain Pine Beetle in Ponderosa Pine written by Gene D. Amman and published by . This book was released on 1986 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Modeling Individual Lodgepole Pine Mortality from Mountain Pine Beetle Outbreak in a Spatially Explicit Framework

Download or read book Modeling Individual Lodgepole Pine Mortality from Mountain Pine Beetle Outbreak in a Spatially Explicit Framework written by Michele Susan Buonanduci and published by . This book was released on 2019 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outbreaks of native bark beetles (Curculionidae: Scolytinae) are key natural disturbances that shape the structure and function of conifer forests across the northern hemisphere. While drivers of bark beetle outbreaks have been studied extensively at spatial scales ranging from stands to continents, within-stand processes driving individual tree mortality in an outbreak are less well understood. Here we use a spatially explicit long-term monitoring dataset of lodgepole pine (Pinus contorta var. latifolia) forest impacted by a severe mountain pine beetle (Dendroctonus ponderosae) outbreak to explore interactions among fine-scale drivers of beetle-caused tree mortality. Using a hierarchical Bayesian spatial modeling approach, we evaluated whether and how within-stand neighborhood structure and topographic setting interact with tree size to mediate tree level susceptibility to mountain pine beetle outbreak in the Southern Rocky Mountains (USA). We found evidence that both tree growth rate preceding the outbreak and stand structure around the host tree mediated the effect of tree size. However, we did not find evidence that topographic position within a stand mediated the effect of tree size. Mortality probability increased with pre-outbreak growth rate for small to medium sized trees (~10-25 centimeters diameter), but that same effect could not be detected for larger trees. Conversely, mortality probability increased with greater neighborhood density across tree sizes, with the most pronounced effects for medium to large sized trees (~15-30 centimeters diameter). Within-stand topographic variability was not an important predictor of mortality probability; among stands, however, the driest stand conditions experienced the greatest overall mortality. By explicitly considering how natural within-stand heterogeneity mediates individual tree level susceptibility to mountain pine beetle outbreak, our findings bridge an important gap in understanding multi-scale drivers of disturbance dynamics. Identifying factors influencing individual tree mortality in these systems informs our understanding of both the structural development of forest stands and reciprocal feedbacks between stand structure and outbreak dynamics.

Book Incorporating Present and Future Climatic Suitability Into Decision Support Tools to Predict Geographic Spread of the Mountain Pine Beetle

Download or read book Incorporating Present and Future Climatic Suitability Into Decision Support Tools to Predict Geographic Spread of the Mountain Pine Beetle written by Terence Leckie Shore and published by . This book was released on 2008 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main goal of this project was to adapt existing mountain pine beetle (MPB) decision-support tools to incorporate climatic suitability information to refine the spatial characterization of present climate and to support assessments of future climate. These tools include susceptibility and risk rating systems, the MPBSim stand-scale MPB population model, the landscape-scale SELES-MPB population model, and graph-based connectivity methods. We made significant advances on all of these, resulting in a suite of tools with increased capabilities and generality. During the course of this project, we also provided decisions support in the specific areas of study, in particular Dawson Creek and central-western Alberta. The basis of the climatic suitability was the work of A. Carroll et al. (2004) which produced estimates of MPB climatic suitability in five classes across western Canada, for historical, existing and future climates. Future climate information was derived from global circulation models such as the CGCM model. They input general climate information into the BioSim tool, in conjunction with topography and other variables relevant to downscaling for MPB, to produce the MPB climatic suitability maps. We used these maps to create an adaptation of the MPB susceptibility and risk rating system that replaced the coarser location factor (based on latitude, longitude and elevation) with MPB climatic suitability. It is important to note that the MPB climatic suitability refers only to climatic conditions relevant for MPB survival and reproduction, while the susceptibility rating system incorporates pine host information. We also modified MPBSim, a stand-scale population model, to utilize the MPB climatic suitability information. In previous applications, MPBSim was adapted to local conditions via a calibration process using local weather information. In some senses, this calibration process resulted in a reasonably precise adjustment to local conditions. However, it was also fairly labour intensive and didn't account as well for spatial variability. Our approach here was to use climatic suitability to both increase spatial precision as well as produce outputs that can be readily adapted to different stand and landscapes. The SELES-MPB landscape-scale population model scales MPBSim dynamics to broad spatial areas. We modified this tool to utilize the revised MPBSim output. This supports more rapid adaptation to other landscapes, as well as allows examination of potential effects of future climate. Our Dawson Creek analysis indicated that beetle management in the Dawson Creek area could significantly affect the spread and impact of the beetle outbreak over the next 10 years, provided that high levels of fell and burn and survey efforts are maintained. Estimated impacts are significantly affected by external pressure from the main outbreak, as estimated using the provincial-scale BCMPB projection. If mountain pine beetle populations can be held low until the main outbreak subsides (which will likely occur within the next five years due to availability of hosts), management should be able to curtail major losses in the Dawson Creek area. In areas with new or no current MPB attack, especially in areas within the expanding range, there is relatively high uncertainty of how the MPB may spread, such as in central-western Alberta. We developed graph-based connectivity methods to assess the spatial pattern of high susceptibility hosts across broad regions, under historic, existing or future climates. This information has been useful to help prioritize and rank stands for treatment in areas of imminent or future risk, and to identify areas for which treatment has no benefit.

Book Modeling the Effect of Landscape Pattern on Mountain Pine Beetles

Download or read book Modeling the Effect of Landscape Pattern on Mountain Pine Beetles written by Josie Hughes and published by . This book was released on 2006-01-01 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite ecological and management importance, little is known about the effect of forest landscape structure on the spread of mountain pine beetles (Dendroctonus ponderosae Hopkins). The general prediction from published literature is that forest fragmentation at some scale might slow the spread of infestations. However, mountain pine beetle dispersal ecology is complicated by requirement for attack en masse and a pheromone-based communication system that facilitates this aggregation process. One interesting possibility is that infestations might spread more slowly over habitat gaps across which beetles cannot communicate. To investigate this possibility, the authors developed an individual-based model of mountain pine beetle dispersal, aggregation and attack, and performed simulation experiments to explore the effects of habitat patch size, habitat compaction, communication distance, and flight behaviour on the spread rate and final extent of infestations.

Book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests

Download or read book Mountain Pine Beetle Dynamics in Lodgepole Pine Forests written by Walter E. Cole and published by . This book was released on 1980 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Population Dynamics Model for the Mountain Pine Beetle  Dendroctonus Ponderosae Hopk   Coleoptera   Scolytidae

Download or read book A Population Dynamics Model for the Mountain Pine Beetle Dendroctonus Ponderosae Hopk Coleoptera Scolytidae written by and published by . This book was released on 1999 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interactive simulation model of mountain pine beetle population dynamics was developed in the Windows-95 environment. A 1-ha area of pure lodgepole pine is simulated. The model is composed of four main parts: a forest stand sub-model, a mountain pine beetle biology sub-model, beetle management sub-models, and an input-output interface. The forest stand sub-model predicts lodgepole pine growth and yield and is based on previously published yield tables. The mountain pine beetle biology sub-models are process-based and simulate attack dynamics within and among trees, brood establishment, development and survival in relation to tree, site and stand factors, temperature and natural enemies. These sub-models are based on published information and, where data were lacking, on the experience of the authors with mountain pine beetle biology and management and simulation modeling. The beetle management sub-models simulate individual tree treatments, pheromone baiting, removal of infested or uninfested trees, and tree spacing. Theoretical control scenarios can also be explored by introducing control factors at specified stage of brood development. The interface allows for interactive manipulation of tree, site and insect variables in order to assess effects on the course of an infestation evaluated by graphical or tabular outputs of results. The model has not been tested against data because the type of complex data that would be required are lacking. In simulated runs, the model generally gave qualitatively accurate descriptions of the course of infestations in terms of the relative effects of tree and site factors and management interventions.