Articles | Volume 13, issue 22
Biogeosciences, 13, 6321–6337, 2016
https://doi.org/10.5194/bg-13-6321-2016
Biogeosciences, 13, 6321–6337, 2016
https://doi.org/10.5194/bg-13-6321-2016

Research article 25 Nov 2016

Research article | 25 Nov 2016

High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest

Huan Gu et al.

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Cited articles

Bradford, J. B., Birdsey, R. A., Joyce L. A., and Ryan M. G.: Tree age, disturbance history, and carbon stocks and fluxes in subalpine Rocky Mountain forests, Glob. Change Biol., 14, 2882–2897, 2008.
Chapin III, F. S., Matson, P. A., and Mooney, H. A.: Principles of Terrestrial Ecosystem Ecology, 2nd Edn. Springer, New York, 2012.
Chen, J. M., Ju, W., Cihlar, J., Price, D., Liu, J., Chen, W., Pan, J., Black, A., and Barr, A.: Spatial distribution of carbon sources and sinks in Canada's forests based on remote sensing, Tellus, 55, 622–641, 2003.
Chen, W., Chen, J. M., Price, D. T., and Cihlar, J.: Effects of stand age on net primary productivity of boreal black spruce forests in Canada, Can. J. Forest Res., 32, 833–842, 2002.
Cohen, W. B., Spies, T. A., and Fiorella, M.: Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, USA, Int. J. Remote Sens., 16, 721–746, 1995.
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We introduce a new method of quantifying time since disturbance and carbon flux across forested landscapes in the Pacific Northwest at a 30m scale by combining remote-sensing-based disturbance year, type, and above-ground biomass with forest inventory data in a carbon modeling framework. Our approach will be applied to forestlands in other regions of the conterminous US to advance a comprehensive monitoring, mapping, and reporting of the carbon consequences of forest change across the US.
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