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Estimating aboveground carbon stocks of a forest affected by mountain pine beetle in Idaho using lidar and multispectral imageryAuthor(s): Benjamin C. Bright; Jeffrey A. Hicke; Andrew T. Hudak
Source: Remote Sensing of Environment. 124: 270-281.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionMountain pine beetle outbreaks have caused widespread tree mortality in North American forests in recent decades, yet few studies have documented impacts on carbon cycling. In particular, landscape scales intermediate between stands and regions have not been well studied. Remote sensing is an effective tool for quantifying impacts of insect outbreaks on forest ecosystems at landscape scales. In this study, we developed and evaluated methodologies for quantifying aboveground carbon (AGC) stocks affected by mountain pine beetle using field observations, lidar data, and multispectral imagery. We evaluated methods at two scales, the plot level and the tree level, to ascertain the capability of each for mapping AGC impacts of bark beetle infestation across a forested landscape. In 27 plots across our 5054-ha study area in central Idaho, we measured tree locations, health, diameter, height, and other relevant attributes. We used allometric equations to estimate AGC content of individual trees and, in turn, summed tree AGC estimates to the plot level. Tree-level and plot-level AGC were then predicted from lidar metrics using separate statistical models. At the tree level, cross-validated additive models explained 50-54% of the variation in tree AGC (rootmean square error (RMSE) values of 26-42 kg AGC, or 32-48%). At the plot level, a cross-validated linearmodel explained 84% of the variation in plot AGC (RMSE of 9.2 Mg AGC/ha, or 12%).
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CitationBright, Benjamin C.; Hicke, Jeffrey A.; Hudak, Andrew T. 2012. Estimating aboveground carbon stocks of a forest affected by mountain pine beetle in Idaho using lidar and multispectral imagery. Remote Sensing of Environment. 124: 270-281.
Keywordscarbon, mountain pine beetle, insect outbreak, tree mortality, aerial imagery, lidar
- Landscape-scale analysis of aboveground tree carbon stocks affected by mountain pine beetles in Idaho
- Prediction of forest canopy and surface fuels from lidar and satellite time series data in a bark beetle-affected forest
- Observations and modeling of aboveground tree carbon stocks and fluxes following a bark beetle outbreak in the western United States
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