Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014)

Curtis, Peter; Bohrer, Gil; Gough, Christopher; Nadelhoffer, Knute

doi:10.2172/1172296

Title: Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014)

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Abstract

At the University of Michigan Biological Station (UMBS) AmeriFlux sites (US-UMB and US-UMd), long-term C cycling measurements and a novel ecosystem-scale experiment are revealing physical, biological, and ecological mechanisms driving long-term trajectories of C cycling, providing new data for improving modeling forecasts of C storage in eastern forests. Our findings provide support for previously untested hypotheses that stand-level structural and biological properties constrain long-term trajectories of C storage, and that remotely sensed canopy structural parameters can substantially improve model forecasts of forest C storage. Through the Forest Accelerated Succession ExperimenT (FASET), we are directly testing the hypothesis that forest C storage will increase due to increasing structural and biological complexity of the emerging tree communities. Support from this project, 2011-2014, enabled us to incorporate novel physical and ecological mechanisms into ecological, meteorological, and hydrological models to improve forecasts of future forest C storage in response to disturbance, succession, and current and long-term climate variation

Authors:

Curtis, Peter ^[1]; Bohrer, Gil ^[1]; Gough, Christopher ^[2]; Nadelhoffer, Knute ^[3]

The Ohio State Univ., Columbus, OH (United States)
Virginia Commonwealth Univ., Richmond, VA (United States)
Univ. of Michigan, Ann Arbor, MI (United States)

Publication Date:: Thu Mar 12 00:00:00 EDT 2015

Research Org.:: The Ohio State Univ., Columbus, OH (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1172296

Report Number(s):: DE-SC0006708

DOE Contract Number:: SC0006708

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; forest carbon cycle; Ameriflux; eco-hydrology; biogeochemistry; climate change; ecosystem model

Citation Formats


                    Curtis, Peter, Bohrer, Gil, Gough, Christopher, and Nadelhoffer, Knute. Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014).  United States: N. p., 2015. 
        Web.  doi:10.2172/1172296.

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                    Curtis, Peter, Bohrer, Gil, Gough, Christopher, & Nadelhoffer, Knute. Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014).  United States.  https://doi.org/10.2172/1172296

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                    Curtis, Peter, Bohrer, Gil, Gough, Christopher, and Nadelhoffer, Knute. 2015.  
        "Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014)".  United States.  https://doi.org/10.2172/1172296.  https://www.osti.gov/servlets/purl/1172296.

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@article{osti_1172296,

  title        = {Forecasting Carbon Storage as Eastern Forests Age: Joining Experimental and Modeling Approaches at the UMBS AmeriFlux Site (Final Report, 2011-2014)},

  author       = {Curtis, Peter and Bohrer, Gil and Gough, Christopher and Nadelhoffer, Knute},

  abstractNote = {At the University of Michigan Biological Station (UMBS) AmeriFlux sites (US-UMB and US-UMd), long-term C cycling measurements and a novel ecosystem-scale experiment are revealing physical, biological, and ecological mechanisms driving long-term trajectories of C cycling, providing new data for improving modeling forecasts of C storage in eastern forests. Our findings provide support for previously untested hypotheses that stand-level structural and biological properties constrain long-term trajectories of C storage, and that remotely sensed canopy structural parameters can substantially improve model forecasts of forest C storage. Through the Forest Accelerated Succession ExperimenT (FASET), we are directly testing the hypothesis that forest C storage will increase due to increasing structural and biological complexity of the emerging tree communities. Support from this project, 2011-2014, enabled us to incorporate novel physical and ecological mechanisms into ecological, meteorological, and hydrological models to improve forecasts of future forest C storage in response to disturbance, succession, and current and long-term climate variation},

  doi          = {10.2172/1172296},

  url          = {https://www.osti.gov/biblio/1172296},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Mar 12 00:00:00 EDT 2015},

  month        = {Thu Mar 12 00:00:00 EDT 2015}

}

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