GC002
Advances in monitoring and reporting greenhouse gas (GHG) emissions and sinks across land use categories
Session ID#: 75963
Session Description:
The demand for spatially and temporally resolved activity data, along with improved measurement and modeling approaches to estimate GHG emissions and removals from the land sector continues to grow. The need is driven by carbon markets (e.g., California’s Cap-and-Trade Program), international reporting requirements, and new standards established through policy programs (e.g., the global stock-take associated with the Paris Agreement). Furthermore, continuing efforts to reduce emissions from deforestation and forest degradation in developing countries (REDD+) also contributes to this demand, along with interest in the 4 per mille soil carbon initiative. This session focuses on scientific advancements in support of monitoring, reporting, and verification of anthropogenic GHG emissions and removals across all land use categories. Advancements in monitoring will improve reporting of GHG emissions and sinks, informing scientists, policy makers, and land managers about the impact of existing land use policies and practices, and will help to inform future mitigation activities.
Index Terms:
0428 Carbon cycling [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
1631 Land/atmosphere interactions [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
Primary Convener: Grant M Domke, US Forest Service St. Paul, St. Paul, MN, United States; USDA Forest Service, Northern Research Station, St. Paul, MN, United States
Conveners: Thomas Charles Wirth, Environmental Protection Agency Washington DC, Washington, DC, United States and Stephen M Ogle, Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, CO, United States; Colorado State University, Fort Collins, CO, United States
Primary Liaison: Stephen M Ogle, Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, CO, United States; Colorado State University, Fort Collins, CO, United States
Incorporation of Coastal Wetlands into the United States National Greenhouse Gas Inventory (491093)
Lisa Marie Beers, Silvestrum Climate Associates LLC, San Francisco, CA, United States, Stephen Crooks, Organization Not Listed, Washington, DC, United States, Tiffany Troxler, Florida International University, Miami, FL, United States, Nate Herold, Metairie, LA, United States, Blanca Bernal, Winrock International, Ecosystem Services, Arlington, United States and Thomas Charles Wirth, Environmental Protection Agency Washington DC, Washington, DC, United States
Assessing Uncertainty and Bias in the U.S. Land Use, Land Use Change, and Forestry Greenhouse Gas Inventory (493586)
Emily McGlynn, University of California Davis, Agriculture and Resource Economics, Davis, DC, United States and Kandice Harper, Yale School of Forestry & Environmental Studies, Fort Collins, CO, United States
Bayesian Calibration of a Process-Based Ecosystem Model to Simulate Soil Organic Carbon Dynamics and Mitigation Potentials (506676)
Ram Gurung1, Stephen M Ogle1, Jay Breidt2, Stephen Williams1 and William J Parton1, (1)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, CO, United States, (2)Colorado State University, Statistics Department, Fort Collins, CO, United States
Net Carbon Change: Emissions and Attribution for US Forests in 2005-2016 (540851)
Lindsay Melendy1, Stephen C Hagen2, Sassan Saatchi3, Yifan Yu3, Grant M Domke4, Brian F Walters5, Ramakrishna R Nemani6, Sangram Ganguly7, Anthony A Bloom8, Shuang Li6, Yan Yang9 and Subodh Kalia10, (1)Applied Geosolutions, LLC, Durham, NH, United States, (2)Dagan, Inc., Durham, NH, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)US Forest Service, Northern Research Station, St. Paul, MN, United States, (5)USDA Forest Service, SAINT PAUL, MN, United States, (6)NASA Ames Research Center, Moffett Field, CA, United States, (7)Organization Not Listed, Washington, DC, United States, (8)JPL / Caltech, Pasadena, CA, United States, (9)University of California Los Angeles, IOES, Los Angeles, United States, (10)BAER Institute, Mountain View, CA, United States
Using Machine Learning Methods to Improve the Representation of Management Activity Data in the US Soil Greenhouse Gas Emissions Inventory (560214)
Stephen M Ogle1, Cody Alsaker2, Ernest Marx2, Stephen Williams1, Shannon Spencer2 and Jay Breidt3, (1)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, CO, United States, (2)Colorado State University, Fort Collins, CO, United States, (3)Colorado State University, Statistics, Fort Collins, CO, United States
Toward estimating greenhouse gas emissions and removals on forest land in the United States Territories and Hawaii (582043)
Grant M Domke, US Forest Service St. Paul, St. Paul, MN, United States, Brian F Walters, USDA Forest Service, SAINT PAUL, MN, United States, Panmei Jiang, University of Minnesota Twin Cities, Forest Resources, Minneapolis, MN, United States and James Smith, Northern Research Station, Durham, NH, United States
Assessing the evidence basis for forest soil carbon accounting (608397)
Leehi Yona, Stanford University, Emmett Interdisciplinary Program in Environment and Resources, Stanford, CA, United States, Robert B Jackson, Stanford University, Stanford, CA, United States, Christopher B Field, Stanford University, Stanford Woods Institute for the Environment, Stanford, CA, United States and Katharine J Mach, Stanford University, Stanford Environment Assessment Facility, Stanford, CA, United States
Methane Point Source Emissions from California Dairy Farms (608892)
Francesca Mia Hopkins1, Riley M Duren2, Andrew K Thorpe2, Rafiq Talha1, Michelle Carr1, Kelsey T Foster2, Brian D Bue2, Robert K Tapella2, Charles E Miller3, Matthias Falk4, Jorn Herner5 and Marc Laurenz Fischer6, (1)University of California Riverside, Riverside, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Lab, Pasadena, CA, United States, (4)University of California, Davis, CA, United States, (5)California Environmental Protection Agency Air Resources Board, Sacramento, CA, United States, (6)Lawrence Berkeley National Lab, Berkeley, CA, United States
Spatially and temporally resolved outputs from spatially and temporally resolved activity data and modeling approaches - getting more out of land sector data with the Full Lands Integration Tool (FLINT) (629526)
Robert Waterworth1, Werner A. Kurz2, Guy Janssen3, Robert de Ligt1, Geoff Roberts1, Marcela Itzel Olguin-Alvarez4, James Leitch1 and Bryan Adkins5, (1)The Mullion Group, Canberra, Australia, (2)Natural Resources Canada - Canadian Forest Service, Victoria, BC, Canada, (3)Moja Global, San Francisco, United States, (4)Consultant, Mexico City, Mexico, (5)The Mullion Group, Edmondton, AB, Canada
