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This dataset represents presence of Sugar Maple (Acer saccharum) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
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This dataset represents presence of Black Spruce (Picea mariana) at year 50 (2045) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
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This dataset represents presence of Black Spruce (Picea mariana) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
Conclusions:Report reviews how forests and their management affect the quality and quantity of downstream municipal water supplies in the state of OregonThresholds/Learnings:When >25% of the watershed's forest cover is clearcut in a short period of only a few months, there is a measurable increase in annual streamflows from the watershed.
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This dataset represents presence of Sugar Maple (Acer saccharum) at year 150 (2145) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
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This dataset depicts dominant species groups in Minnesota (USA) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated. Restoration harvesting was spatially allocated following ecological land units (rather than ownership) and harvest frequency, severity, and size distributions were based on historic wind and fire regimes. The projected dominant species were listed as follows: 1) Spruce and Fir; 2) Northern Hardwoods: Sugar Maple; 3) Northern Hardwoods: Red Maple; 4) Aspen and Birch; 5) White, Red, and Jack Pine; 6)...
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These data were compiled to help understand how climate change may impact dryland pinyon-juniper ecosystems in coming decades, and how resource management might be able to minimize those impacts. Objective(s) of our study were to model the demographic rates of PJ woodlands to estimate the areas that may decline in the future vs. those that will be stable. We quantified populations growth rates across broad geographic areas, and identified the relative roles of recruitment and mortality in driving potential future changes in population viability in 5 tree species that are major components of these dry forests. We used this demographic model to project pinyon-juniper population stability under future climate conditions,...
Categories: Data; Tags: Arizona, Botany, California, Colorado, Ecology, All tags...
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This dataset represents presence of Red Pine (Pinus resinosa) at year 0 (1995) in Minnesota (USA) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
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This dataset represents presence of white pine (Pinus strobus) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
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This dataset represents presence of Jack Pine (Pinus banksiana) in Minnesota (USA) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
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This dataset represents presence of Jack Pine (Pinus banksiana) in Minnesota (USA) at year 50 (2045) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
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This dataset depicts dominant species groups in Minnesota (USA) at year 150 (2145) from a single model run of LANDIS-II. The simulation assumed IPCC A2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated. Contemporary harvesting was spatially allocated following ecological land units (rather than ownership) and harvest frequency, severity, and size distributions were based on historic wind and fire regimes. The projected dominant species were listed as follows: 1) Spruce and Fir; 2) Northern Hardwoods: Sugar Maple; 3) Northern Hardwoods: Red Maple; 4) Aspen and Birch; 5) White, Red, and Jack Pine; 6) Other species.
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Severe droughts cause widespread tree mortality and decreased growth in forests across the globe—even in areas with cooler climates. Mitigating the negative effects of climate change, in particular increased drought frequency and severity, poses a major challenge to forest managers. Managers are searching for strategies that minimize the negative effects of drought on forests (i.e. increase their resistance to drought) and maximize the ability of forests to recover after a drought (i.e. improve their resilience). Evidence suggests that forests with certain combinations of tree species, sizes, and stem densities are better able to withstand and recover from drought. The goal of this study was to identify which...
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The practice of fire suppression across the western United States over the past century has led to dense forests, and when coupled with drought has contributed to an increase in large and destructive wildfires. Forest management efforts aimed at reducing flammable fuels through various fuel treatments can help to restore frequent fire regimes and increase forest resilience. Our research examines how different fuel treatments influenced burn severity and post-fire vegetative stand dynamics on the San Carlos Apache Reservation, in east-central Arizona, U.S.A. Our methods included the use of multitemporal remote sensing data and cloud computing to evaluate burn severity and post-fire vegetation conditions as well as...
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This dataset represents presence of Black Spruce (Picea mariana) at year 150 (2145) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Contemporary harvest rates and intensities were simulated.
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Legally established and spatially defined areas of old growth forest that are identified during landscape unit planning or an operational planning process. Forest licensees are required to maintain legally established OGMAs when preparing FSPs. OGMAs, in combination with other areas where forestry development is prevented or constrained, are used to achieve biodiversity targets. This spatial view will show the most current polygons and excludes sensitive information. This Legal 'Current' layer is freely downloadable.
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This dataset represents presence of Red Pine (Pinus resinosa) at year 100 (2095) in Minnesota (USA) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
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This dataset represents presence of Red Pine (Pinus resinosa) at year 50 (2045) in Minnesota (USA) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
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This dataset represents presence of Black Spruce (Picea mariana) at year 0 (1995) from a single model run of LANDIS-II. The simulation assumed Intergovernmental Panel on Climate Change (IPCC) B2 emissions (moderate) and used the Hadley 3 global circulation model. Restoration harvest rates and intensities were simulated.
Open canopy conditions in southeastern pine (Pinus spp.) forests were historically maintained by frequent fire and other disturbances, without which midstory hardwoods create closed canopy conditions limiting value of pine stands for many endemic, disturbance-adapted species. Intensively managed pine forests, which comprise 19% of forests in the southeastern U.S., can emulate historical open pine conditions, providing appropriate vegetation structure and composition for many endemic species. However, exact mechanisms for producing and maintaining open pine conditions and subsequent effects on biodiversity have not been examined across regions and stand ages. To better inform managers about options for providing...


map background search result map search result map BC Old Growth Management Areas - Map Service Minnesota (USA) Climate Change Project: White Pine at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Jack Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Jack Pine at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 150 (2145), assuming emissions scenario B2, Hadley 3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 50 (2045), assuming emissions scenario B2, Hadley 3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Sugar Maple at Year 150 (2145), assuming emissions scenario B2, Hadley 3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Sugar Maple at Year 0 (1995), assuming emissions scenario B2, Hadley 3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Dominant species at Year 150 (2145), assuming emissions scenario A2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Dominant species at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Informing and Evaluating Forest Management Strategies to Promote Drought Resistance Dataset for 2013 Creek Fire Research Points, Pre- and Post-Fire Data, U.S. Geological Survey Pinyon-juniper basal area, climate and demographics data from National Forest Inventory plots and projected under future density and climate conditions Dataset for 2013 Creek Fire Research Points, Pre- and Post-Fire Data, U.S. Geological Survey Minnesota (USA) Climate Change Project: Dominant species at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: White Pine at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Red Pine at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Jack Pine at Year 50 (2045), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Jack Pine at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 100 (2095), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 0 (1995), assuming emissions scenario B2, Hadley3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 150 (2145), assuming emissions scenario B2, Hadley 3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Black Spruce at Year 50 (2045), assuming emissions scenario B2, Hadley 3 GCM, contemporary harvest rates and intensity Minnesota (USA) Climate Change Project: Sugar Maple at Year 150 (2145), assuming emissions scenario B2, Hadley 3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Sugar Maple at Year 0 (1995), assuming emissions scenario B2, Hadley 3 GCM, restoration harvest rates and intensity Minnesota (USA) Climate Change Project: Dominant species at Year 150 (2145), assuming emissions scenario A2, Hadley3 GCM, contemporary harvest rates and intensity BC Old Growth Management Areas - Map Service Pinyon-juniper basal area, climate and demographics data from National Forest Inventory plots and projected under future density and climate conditions Informing and Evaluating Forest Management Strategies to Promote Drought Resistance