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Funded Research

Integrating Landscape-scale Forest Measurements with Remote Sensing and Ecosystem Models to Improve Carbon Management

Birdsey, Richard (Rich): Woodwell Climate Research Center (Project Lead)
Bradford, John: USGS (Co-Investigator)
Ducy, Mark: (Co-Investigator)
Genovese, Vanessa: Cal. State Univ. Monterey Bay (Co-Investigator)
Hom, John: USDA Forest Service, Northern Research Station (Co-Investigator)
Klooster, Steven: NASA Ames Research Center - Cal State Univ Monterey Bay (Co-Investigator)
Kolka, Randy: USFS Northern Research Station (Co-Investigator)
Lefsky, Michael: Colorado State University (Co-Investigator)
McNulty, Steven: USDA Forest Service (Co-Investigator)
Pan, Yude: USDA Forest Service (Co-Investigator)
Potter, Christopher: NASA ARC (Co-Investigator)
Ryan, Michael: USDA Forest Service, RMRS (Co-Investigator)
Smith, Marie-Louise (ML): US Forest Service, Northern Research Station (Co-Investigator)
Valentine, Harry: (Co-Investigator)
Weishampel, Peter: University of Minnesota (Co-Investigator)
Clark, John: University of Pennsylvania (Participant)
Cole, Jason: USDA Forest Service (Participant)
Gavazzi, Michael: USDA Forest Service (Participant)
Mccullough, Kevin: usfs (Participant)
Wayson, Craig: USDA Forest Service (Participant)
Zhang, Fangmin (Min): University of Toronto (Participant)

Project Funding: 2005 - 2007

Funded by USDA FS, NASA

Abstract:
We are integrating intensive ground-based measurements, remote sensing, and modeling at seven landscape-scale research sites across the U.S. to estimate carbon stocks and fluxes for forest carbon pools. As part of the North American Carbon Program, this study is intended to tie the spatially extensive, but coarsely resolved, measurements made through remote sensing and forest inventory to the spatially intensive and highly resolved measurements made at intensive monitoring sites such as the AmeriFlux network. Each study site consists of a diverse landscape that reflects the effects of natural disturbances and/or forest management activities on carbon stocks and productivity. To demonstrate the relevance of this work to land managers, we are evaluating how this information can improve decision support tools for estimating and reporting carbon stocks and changes in carbon stocks. The main products of this research include precise statistical estimates and maps of carbon stocks and productivity for a variety of forest landscape conditions; improved process models at ecoregion and stand scales; and decision-support tools for land managers interested in carbon management. We will estimate NPP and NEP for managed or disturbed tree stands in various stages of development, which will improve the ability of land managers to update or project stand-level inventories of carbon stocks for project evaluation and reporting to greenhouse gas registries. Reference data from these sites can be used by the scientific, policy, and land management communities. If successful, this project may evolve into a larger network of landscape-scale monitoring sites.

Publications:

Berryman, E. M., Vanderhoof, M. K., Bradford, J. B., Hawbaker, T. J., Henne, P. D., Burns, S. P., Frank, J. M., Birdsey, R. A., Ryan, M. G. 2018. Estimating Soil Respiration in a Subalpine Landscape Using Point, Terrain, Climate, and Greenness Data. Journal of Geophysical Research: Biogeosciences. 123(10), 3231-3249. DOI: 10.1029/2018JG004613

Berryman, E., Ryan, M. G., Bradford, J. B., Hawbaker, T. J., Birdsey, R. 2016. Total belowground carbon flux in subalpine forests is related to leaf area index, soil nitrogen, and tree height. Ecosphere. 7(8). DOI: 10.1002/ecs2.1418

2008. Field Measurements for Forest Carbon Monitoring. Springer Netherlands. DOI: 10.1007/978-1-4020-8506-2

2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • Human influences on land use, vegetation and emissions: carbon flux, ecosystem response, and human health along an urban to rural gradient in Baltimore   --   (John L. Hom, Nicanor Z. Saliendra, Matthew M. Patterson, Rodrigo Vargas, Kenneth L. Clark, Lewis Ziska, Leonard Bielory)   [abstract]

More details may be found in the following project profile(s):