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Operational Forest Carbon Assessment and Management

Operational Forest Carbon Assessment and Management. Rich Birdsey Sean Healey a nd our many colleagues. Objectives of forest carbon assessment and management. Assess historical trends in carbon stocks in forest biomass, soils and wood products

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Operational Forest Carbon Assessment and Management

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  1. Operational Forest Carbon Assessment and Management Rich Birdsey Sean Healey and our many colleagues

  2. Objectives of forest carbon assessment and management • Assess historical trends in carbon stocks in forest biomass, soils and wood products • Support strategic carbon management analysis at operational scales Public Lands Chequamegon-Nicolet National Forest

  3. Approaches to Forest Carbon Assessment • Eastern U.S. • Successive forest inventories for assessing changes in C stocks • Remote sensing: extensive use of LEDAPS (disturbance) and MODIS (LAI) data • Climate and disturbance-driven biogeochemistry model for analysis and projections • Western U.S. • Initial forest inventory for assessing C stock • Remote sensing: Landsat used to determine trends in C stocks • Disturbance-driven “Forest Vegetation Simulator” • Stochastic simulations of management/disturbance scenarios

  4. Spatial and Temporal Change in Carbon Stocks, Northern Wisconsin and Chequamegon-Nicolet National Forest CNNF Productivity InTEC Model (Zhang et al.)

  5. Inventory data Remote sensing + BGC

  6. ForCaMF (Forest Carbon Management Framework) Landsat can support projection of carbon storage under different management scenarios, IF: 1. Landsat maps of vegetation and disturbance can be linked to a carbon model designed to address local management concerns FoCaMF developed a spatial adaptation of a widely used decision support tool Forest Volume Maps Forest Type FVS (Forest Vegetation Simulator) Disturbance

  7. ForCaMF (Forest Carbon Management Framework) Landsat can support projection of carbon storage under different management scenarios, IF: 2. The uncertainty of satellite-based data can be understood and communicated as defensibly as decision support from other sources. FoCaMF probabilistically alters map data to empirically measure uncertainty of estimated stocks and fluxes Stocks under observed and “no fire” scenarios Carbon flux due to fire and harvest Bars represent standard deviation of 2000 simulations

  8. Decision-support for Land Managers • National Forest System carbon reporting and planning • State and private landowners strategic mitigation analysis • Linking mitigation and adaptation

  9. Thanks! Please visit our posters…. • 124:Operational Forest Carbon Assessment and Management (Richard Birdsey, Yude Pan, Fangmin Zhang, Chen Chen, Craig Wayson, Kristofer Johnson) • 166:ForCaMF - Decision Support for Landscape-Level Forest Carbon Management (Sean P Healey, Shawn Urbanski, James Morrison, Chris Garrard, Alicia Peduzzi, Alex J Hernandez)

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