Articles | Volume 10, issue 12
https://doi.org/10.5194/bg-10-8203-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-8203-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains
M. K. Caldwell
US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Lakewood, CO 80225, USA
T. J. Hawbaker
US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Lakewood, CO 80225, USA
J. S. Briggs
US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Lakewood, CO 80225, USA
P. W. Cigan
Department of Renewable Resources, University of Alberta, 751 General Services Building, Edmonton, AB T6G 2H1, Canada
S. Stitt
US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Lakewood, CO 80225, USA
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Cited
13 citations as recorded by crossref.
- Equivalence of live tree carbon stocks produced by three estimation approaches for forests of the western United States C. Hoover & J. Smith https://doi.org/10.1016/j.foreco.2016.11.041
- Logjams and Channel Morphology Influence Sediment Storage, Transformation of Organic Matter, and Carbon Storage Within Mountain Stream Corridors N. Sutfin et al. https://doi.org/10.1029/2020WR028046
- Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains L. Liang et al. https://doi.org/10.1016/j.apgeog.2014.09.012
- Implementation of a Marauding Insect Module (MIM, version 1.0) in the Integrated BIosphere Simulator (IBIS, version 2.6b4) dynamic vegetation–land surface model J. Landry et al. https://doi.org/10.5194/gmd-9-1243-2016
- Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance S. Ye et al. https://doi.org/10.1016/j.rse.2021.112560
- Evapotranspiration and its partitioning during and following a mountain pine beetle infestation of a lodgepole pine stand in the interior of British Columbia, Canada S. Hao et al. https://doi.org/10.3389/ffgc.2024.1352853
- Simulation of net ecosystem productivity of a lodgepole pine forest after mountain pine beetle attack using a modified version of 3-PG G. Meyer et al. https://doi.org/10.1016/j.foreco.2018.01.034
- Preface: Impacts of extreme climate events and disturbances on carbon dynamics J. Xiao et al. https://doi.org/10.5194/bg-13-3665-2016
- A model evaluation framework applied to the Forest Vegetation Simulator (FVS) in Colorado and Wyoming lodgepole pine forests B. Bagdon et al. https://doi.org/10.1016/j.foreco.2020.118619
- Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data L. Liang et al. https://doi.org/10.3390/rs6065696
- Predicting burn severity for integration with post-fire debris-flow hazard assessment: a case study from the Upper Colorado River Basin, USA A. Wells et al. https://doi.org/10.1071/WF22200
- Carbon Cycling, Climate Regulation, and Disturbances in Canadian Forests: Scientific Principles for Management J. Landry & N. Ramankutty https://doi.org/10.3390/land4010083
- Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest B. Bright et al. https://doi.org/10.3390/f8090322
13 citations as recorded by crossref.
- Equivalence of live tree carbon stocks produced by three estimation approaches for forests of the western United States C. Hoover & J. Smith https://doi.org/10.1016/j.foreco.2016.11.041
- Logjams and Channel Morphology Influence Sediment Storage, Transformation of Organic Matter, and Carbon Storage Within Mountain Stream Corridors N. Sutfin et al. https://doi.org/10.1029/2020WR028046
- Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains L. Liang et al. https://doi.org/10.1016/j.apgeog.2014.09.012
- Implementation of a Marauding Insect Module (MIM, version 1.0) in the Integrated BIosphere Simulator (IBIS, version 2.6b4) dynamic vegetation–land surface model J. Landry et al. https://doi.org/10.5194/gmd-9-1243-2016
- Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance S. Ye et al. https://doi.org/10.1016/j.rse.2021.112560
- Evapotranspiration and its partitioning during and following a mountain pine beetle infestation of a lodgepole pine stand in the interior of British Columbia, Canada S. Hao et al. https://doi.org/10.3389/ffgc.2024.1352853
- Simulation of net ecosystem productivity of a lodgepole pine forest after mountain pine beetle attack using a modified version of 3-PG G. Meyer et al. https://doi.org/10.1016/j.foreco.2018.01.034
- Preface: Impacts of extreme climate events and disturbances on carbon dynamics J. Xiao et al. https://doi.org/10.5194/bg-13-3665-2016
- A model evaluation framework applied to the Forest Vegetation Simulator (FVS) in Colorado and Wyoming lodgepole pine forests B. Bagdon et al. https://doi.org/10.1016/j.foreco.2020.118619
- Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data L. Liang et al. https://doi.org/10.3390/rs6065696
- Predicting burn severity for integration with post-fire debris-flow hazard assessment: a case study from the Upper Colorado River Basin, USA A. Wells et al. https://doi.org/10.1071/WF22200
- Carbon Cycling, Climate Regulation, and Disturbances in Canadian Forests: Scientific Principles for Management J. Landry & N. Ramankutty https://doi.org/10.3390/land4010083
- Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest B. Bright et al. https://doi.org/10.3390/f8090322
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