B007
Advances in Understanding and Predicting Forest Demography and Carbon in a Changing World
Session ID#: 250437
Session Description:
Climate change, management, land-use changes, and disturbances are altering the structure and distribution of forests through forest demographic processes (growth, recruitment, mortality), affecting forest carbon storage and sequestration capacity. Many observations indicate increased tree mortality rates in response to increasing forest disturbances and drought events, reducing forest carbon stocks. However, there is high uncertainty in the direction and magnitude of tree growth and recruitment trends. Innovations in modeling and synthesis of observational networks are needed to predict demography and consequences for forest carbon across continental to global scales. This session will focus on research that characterizes, forecasts, and quantifies uncertainty around forest demographic processes (growth, recruitment, and mortality), drivers of change, and consequences for forest carbon. We welcome submissions that use ground-based observations, remote sensing, and modeling across scales (tree to global), especially those combining data sources or using novel approaches to characterize drivers of forest demography and forest carbon.
Co-Sponsor(s):
Index Terms:
0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
1622 Earth system modeling [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
Primary Convener: Kelly Heilman, USDA Forest Service, Northern Research Station, St Paul, United States; Oak Ridge Associated Universities, St Paul, United States
Conveners: Jennifer Kowalczyk, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States and Margaret Evans, University of Arizona, Laboratory of Tree Ring Research, Tucson, United States
Estimating recent trends in forest carbon across the Western US by fusing forest inventory and disturbance data (1853793)
Claire Zarakas1,2, Grayson Badgley1, Michael Goulden2 and James Tremper Randerson3, (1)CarbonPlan, Seattle, United States, (2)University of California Irvine, Earth System Science, Irvine, United States, (3)University of California Irvine, Earth System Science, Irvine, CA, United States
Using dendrometer data to inform future land model projections of European tree growth and carbon storage (1868190)
Brendan Clark1, Daniele Visioni1, Shan Kothari2 and Manuel T. Lerdau3, (1)Cornell University, Ithaca, NY, United States, (2)University of Alberta, Edmonton, Canada, (3)University of Virginia, Department of Environmental Sciences, Charlottesville, United States
The PEcAn+SIPNET Terrestrial Carbon Cycle Reanalysis of North America: Development and Validation (Invited) (1878352)
Michael Dietze1, Dongchen Zhang2, Qianyu Li3, Carl Boma1, Chaney Finkeldei1, Dr. Shawn Serbin, BA, MS, PhD4, Yang Gu5, Cameron Webb6, Jonathan Huggins1, John M Zobitz7, Meng Lai1, Shashank Ramachandran1 and Andrew Roberts1, (1)Boston University, Boston, United States, (2)Boston University, Department of Earth and Environment, Boston, MA, United States, (3)Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, (4)Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States, (5)Boston University, Earth and Environment, Boston, United States, (6)Boston University, Boston, MA, United States, (7)Augsburg University, Mathematics, Statistics, and Computer Science, Minneapolis, United States
Predicting the Spatio-temporal Dynamics of Forest Responses to Changing Wildfire Regimes (1879016)
Liling Chang1, Shaoqing Liu2, Alexander S Antonarakis3, Marcos Longo4, Hao Tang5, John David Armston6, Ralph Dubayah6 and Paul R Moorcroft7, (1)Florida State University, Tallahassee, FL, United States, (2)Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, United States, (3)University of Sussex, Brighton, BN1, United Kingdom, (4)Lawrence Berkeley National Laboratory, Berkeley, United States, (5)National University of Singapore, Singapore, Singapore, (6)University of Maryland, Department of Geographical Sciences, College Park, United States, (7)Harvard University, Cambridge, MA, United States
Assessing the Role of Post-Disturbance Recovery in 21st-Century Boreal Forest Vegetation and Carbon Dynamics Using a Dynamic Vegetation Model (1880628)
Lucia Layritz1,2, Mohit Anand3, Jinhyuk E. Kim4, Konstantin Gregor1, Ben Meyer Meyer1, Stefan Kruse5, Andreas Krause1, Allan Buras1, Thomas Pugh6,7, Carl Boettiger8 and Anja Rammig1, (1)Technical University of Munich, School of Life Sciences, Freising, Germany, (2)University of California Berkeley, Schmidt Center for Data Science and Environment, Berkeley, United States, (3)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (4)University of California Irvine, Department of Earth System Science, Irvine, CA, United States, (5)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Potsdam, Polar Terrestrial Environmental Systems, Potsdam, Germany, (6)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (7)University of Birmingham, Birmingham, United Kingdom, (8)University of California Berkeley, Environmental Science, Policy and Management, Berkeley, United States
Impact of LiDAR Data Systems on Gross Primary Productivity (GPP) Estimates in Southern Forests with the Ecosystem Demography Model (1902444)
Kody Brock1, Inacio Bueno2, Marcos Longo3, Carine Klauberg2, Jason Vogel2, Alan Ivory II4 and Carlos Alberto Silva2, (1)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainsville, United States, (2)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, United States, (4)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainesville, United States
Understanding the role of flow-structure interactions on tree failure (1907572)
Jamie Webb, European Geosciences Union, Manchester, UNITED KINGDOM; University of Manchester, Department of Mathematics, Manchester, United Kingdom and Kshitij Sabnis, Queen Mary, University of London, School of Engineering & Materials Science, London, United Kingdom
Estimating Regional‑Scale Carbon Stocks with Remote Sensing: Integrating Individual Tree‑Level and Area‑Based Biomass Metrics (1910189)
Dohee KIM1, Seunghyeon Lee1, Gapseong Jekal1, Younghwan Kim1, Jiseon Ro1, Hansoo Kim2 and Youngkeun Song1, (1)Seoul National University, Seoul, South Korea, (2)Gyeonggi Research Institute, Suwon, South Korea
Assessing Ecosystem Carbon Balance Across Afforestation sites in the Southeastern U.S. (1915075)
Jianing Liang1, Courtney M Siegert2, Austin Himes3, Krishna Poudel2 and Heidi J Renninger2, (1)Mississippi State University, Department of Forestry, Mississippi State, MS, United States, (2)Mississippi State University, Department of Forestry, Starkville, United States, (3)Washington State University, College of Agricultural, Human and Natural Resources Sciences, Pullman, United States
Beyond Biomass: Integrating Stocks and Fluxes to Advance Forest Carbon Quantification (1923944)
Mallory Barnes, Indiana University Bloomington, Paul H. O'Neill School of Public and Environmental Affairs, Bloomington, United States, Matthew P Dannenberg, University of Iowa, School of Earth, Environment, and Sustainability, Iowa City, United States, Steve Kannenberg, West Virginia University, Morgantown, United States, Feng Wang, University of Iowa, School of Earth, Environment, and Sustainability, Iowa City, IA, United States, Xi Yang, University of Virginia, Department of Environmental Sciences, Charlottesville, United States, Daniel Patrick Beverly, Indiana University Bloomington, Bloomington, IN, United States and Kimberly A Novick, Indiana University Bloomington, Bloomington, United States
Modeling Forest Demography to Improve Carbon Estimation and Additionality Under Nature-Based Solutions (Invited) (1924302)
Jennifer A. Holm1,2, Shijie Shu3, Jessica Needham4 and Charles Koven4, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Cultivo, Pleasanton, United States, (3)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, United States
Determining the conflicting impacts of tropical cyclones winds and precipitation on tree growth and carbon storage. (1924586)
Alihossein Ezzati1, Justin T. Maxwell2, Grant L. Harley3, Mahdiyeh Karvarinasab1, Joshua C Bregy4, Scott Robeson5 and Jan Altman6, (1)Indiana University Bloomington, Geography Department, Bloomington, IN, United States, (2)Indiana University, Bloomington, United States, (3)University of Idaho, Department of Earth and Spatial Sciences, Moscow, United States, (4)Clemson University, Department of Environmental Engineering and Earth Sciences, Clemson, SC, United States, (5)Indiana University Bloomington, Bloomington, United States, (6)Institute of Botany of the Czech Academy of Sciences, Zámek, Czech Republic
Patterns of Tree Mortality in the Amazon: Unraveling the Role of Climate Variability and Extreme Events (1935787)
Manoj Hari1, Ricardo Dalagnol1, Fabien Wagner1, Yan Yang1, Philippe Ciais2 and Sassan Saatchi1,3, (1)Ecosystem Research Team, CTrees.org, Pasadena, California, USA, Pasadena, United States, (2)Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, Gif-Sur-Yvette, France, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA, Pasadena, United States
Remotely sensed Amazon forest Biogeography of drought response reveals drivers of forest mortality and carbon sink dynamics (1952136)
Scott R Saleska1, Shuli Chen2, Luz Adriana Cuartas3, Bruce W Nelson4, Antonio Donato Nobre4, Natalia Restrepo-Coupe5, Juliana Schietti4, Scott C Stark6, Dr. Julia Tavares, PhD7 and César Terrer8, (1)University of Arizona, Department of Ecology & Evolutionary Biology, Tucson, AZ, United States, (2)Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States, (3)CEMADEN Researcher, Hydrology, Sao Jose Dos Campos, Brazil, (4)INPA National Institute of Amazonian Research, Manaus, Brazil, (5)University of Arizona, Department of Ecology & Evolutionary Biology, Tucson, United States, (6)Michigan State University, Forestry, East Lansing, United States, (7)Uppsala University, Ecology and Genetics, Uppsala, Sweden, (8)Massachusetts Institute of Technology, Cambridge, United States
Improving Forest Carbon Accounting in Economic Models: Updating GTAP Land Cover with Recent Remote Sensing Products (1954534)
Ye Yuan1, Farzad Taheripour2, Uris Lantz C Baldos2, Shuo Chen3 and Qianlai Zhuang1, (1)Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States, (2)Purdue University, Department of Agricultural Economics, West Lafayette, United States, (3)Beijing Normal University, Beijing, China
The role of forest demography on the land carbon sink (1963294)
Colin A Quinn, NASA GSFC/UMD ESSIC, Biospheric Sciences, College Park, United States, Thomas Colligan, NASA GSFC/UMD ESSIC, Biospheric Sciences, College PARK, United States, Bradley Gay, NASA GSFC/UMD ESSIC, Greenbelt, United States, Qing Ying, NASA GSFC/UMD ESSIC, College Park, United States, Eric Ward, NASA GSFC/UMD ESSIC, College PARK, United States, Dr. Shawn Serbin, BA, MS, PhD, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States and Benjamin Poulter, Spark Climate Solutions, San Francisco, United States
Threading the Needle through Multi-year Forest Inventory Intervals: Advancing Forest Carbon Estimation with forestTIME Annualized Interpolation (1979149)
Danielle Steinberg1, Eric Scott1, Renata Diaz2, Kelly Heilman3, Brian F Walters4, Grant M Domke5 and Margaret Evans6,7, (1)University of Arizona, Tucson, AZ, United States, (2)Cornell University, Ithaca, United States, (3)USDA Forest Service, Northern Research Station, St Paul, United States, (4)USDA Forest Service, Northern Research Station, St. Paul, United States, (5)USDA Forest Service, Northern Research Station, Vallejo, CA, United States, (6)Tucson, AZ, United States, (7)University of Arizona, Laboratory of Tree Ring Research, Tucson, United States
Calibration of the Individual-based Forest Landscape and Disturbance Model (iLand) for Forests of the Southern Rockies (1986692)
Miriam Johnston1,2, Samuel W Flake2, Kristin Braziunas3 and Winslow Hansen4, (1)University of Maryland Center for Environmental Science, Frostburg, United States, (2)Cary Institute of Ecosystem Studies, Millbrook, United States, (3)University of Washington, Seattle, United States, (4)Cary Institute of Ecosystem Studies, Millbrook, NY, United States
Importance of Multiscale Benchmarking for the FATES Vegetation Demography Model: Seeing the Forest and the Trees (1986867)
Jennifer Kowalczyk1, Marcos Longo2, Charlie Koven3, Jessica Needham2, Ryan Knox3, Namfon Carroll2,4, Gilberto Pastorello1, Huanyuan Zhang-Zheng5, Yadvinder Malhi6 and Jeff Chambers7, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, United States, (4)Berkeley City College, Berkeley, United States, (5)University of Oxford, Oxford, United Kingdom, (6)University of Oxford, School of Geography and the Environment, Oxford, United Kingdom, (7)University of California Berkeley, Berkeley, United States
Impacts of Hemlock Decline Due to Hemlock Woolly Adelgid on Soil Carbon Pools (1986885)
Peter Tansey1, Shannon Van Hise1, Brendan Murphy1, Michael W Palace2, Audrey Barker Plotkin3 and Alexandra Contosta4, (1)University of New Hampshire, Natural Resources and the Environment, Durham, United States, (2)University of New Hampshire, Dept. of Earth Sciences and Earth Systems Research Center, Durham, United States, (3)Harvard Forest, Petersham, United States, (4)University of New Hampshire, Earth Systems Research Center, Durham, United States
