B13E:
Quantifying Uncertainties and Merging Observations, Experiments, and Models for Improving Estimation, Mapping, and Forecasting of Terrestrial Ecosystem Dynamics III Posters

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Session ID#: 15033

Session Description:
Terrestrial Biosphere Models (TBMs) are crucial tools in global carbon cycle studies, but the ecosystem processes they represent are many and complex, therefore being among the greatest uncertainty sources in future climate projections. Evaluating and improving these important TBM processes requires both data from ecosystem scale experiments (e.g. CO2 and temperature manipulation) and specific statistical methods to incorporate that data into the models (e.g. Bayesian data assimilation). Both of these aspects are important and can rarely be separated from each other as the experimental data determines the appropriate mathematical approach.

This session focuses on novel insights into TBM processes gained from both experimentals and the numerical techniques used to assimilate the data in to the models. We encourage submissions that address the challenge of improving model representation of ecosystems through both experimental data and advanced numerical methods, although studies focusing on just experiments or mathematical methods are also welcomed.

Primary Convener:  Cove Sturtevant, National Ecological Observatory Network, Battelle, Boulder, United States
Conveners:  Toni Viskari1, John L Campbell2 and Michael Dietze1, (1)Boston University, Boston, MA, United States(2)US Forest Service, Northern Research Station, Durham, United States
Chairs:  Toni Viskari, Boston University, Boston, MA, United States, Ankur R Desai, University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, Ruth D. Yanai, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States and Chabbi Abad, INRA Institut National de la Recherche Agronomique, Paris Cedex 07, France
OSPA Liaison:  Cove Sturtevant, National Ecological Observatory Network, Battelle, Boulder, United States
Index Terms:

0430 Computational methods and data processing [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0452 Instruments and techniques [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Instrumentation for Examining Microbial Response to Changes In Environmental Pressures (178038)
Justin Blaich1, Aaron Storrs2, Jonathan Wang3, Cynthia Ouandji3, Dillon Arismendi4, Juliana Hernandez2, Nina Sardesh2, Cory Robert Ibanez2, Stephanie Owyang2 and Diana Gentry5, (1)Bay Area Environmental Research / NASA Ames Research Center, Moffett Field, CA, United States, (2)University of California Santa Cruz, Santa Cruz, CA, United States, (3)San Jose State University, San Jose, CA, United States, (4)City College of San Francisco, San Francisco, CA, United States, (5)NASA Ames Research Center, Biospheric Science Branch, Moffett Field, CA, United States
Forecasting Brassica rapa: Merging climate models with genotype specific process models for evaluation whole species response to climate change. (180156)
Jonathan R Pleban1, David Scott Mackay2, Brent E Ewers3, C. Weinig4 and Carmela Rosaria Guadagno4, (1)University at Buffalo, Buffalo, NY, United States, (2)University at Buffalo, Geography, Buffalo, NY, United States, (3)University of Wyoming, Botany, Laramie, United States, (4)University of Wyoming, Botany, Laramie, WY, United States
Near Real-time Ecological Forecasting of Peatland Responses to Warming and CO2 Treatment through EcoPAD-SPRUCE (190803)
Yuanyuan Huang1, Jiang Jiang2,3, Mark Stacy4, Daniel M Ricciuto5, Paul J Hanson5, Nilutpal Sundi6 and Yiqi Luo1,7, (1)University of Oklahoma Norman Campus, Department of Microbiology and Plant Biology, Norman, OK, United States, (2)University of Oklahoma Norman Campus, Norman, OK, United States, (3)Nanjing Forestry University, Department of Soil and Water Conservation, Nanjing, China, (4)University of Oklahoma Norman Campus, Information Technology, Norman, OK, United States, (5)Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, (6)University of Oklahoma Norman Campus, Department of Computer Science, Norman, OK, United States, (7)Northern Arizona University, Center for Ecosystem Sciences and Society (ECOSS), Flagstaff, United States
Emulation of Land-Surface Models (199037)
Elias Charbel Massoud, University of California Berkeley, Environmental Science, Policy, & Management, Berkeley, United States and Jasper A Vrugt, University of California Irvine, Irvine, United States
Integrating Ecosystem Carbon Dynamics into State-and-Transition Simulation Models of Land Use/Land Cover Change (145836)
Colin J. Daniel1,2, Benjamin M Sleeter3, Leonardo Frid4 and Marie-Josée Fortin1, (1)University of Toronto, Dept. of Ecology & Evolutionary Biology, Toronto, ON, Canada, (2)Apex Resource Management Solutions, Ottawa, Canada, (3)U.S. Geological Survey, Western Geographic Science Center, Tacoma, WA, United States, (4)Apex Resource Management Solutions Ltd., Ottawa, ON, Canada
Data assimilation for terrestrial ecosystem models: A case study with the particle filter (153489)
Takeshi Ise and Shigeki Ikeda, Kyoto University, Kyoto, Japan
The optimal spatial resolution for top-down/bottom-up integration of time-resolved urban fossil fuel CO2 emissions (150360)
Jianming Liang, Kevin R Gurney, Darragh O’Keeffe, Maya Hutchins, Risa Patarasuk and Jianhua Huang, Arizona State University, School of Life Sciences, Tempe, AZ, United States
Influence of crop type specification and spatial resolution on empirical modeling of field-scale Maize and Soybean carbon fluxes in the US Great Plains (138325)
Alexandria Gartside McCombs1, April Hiscox1, Cuizhen (Susan) Wang1 and Ankur R Desai2, (1)University of South Carolina Columbia, Columbia, SC, United States, (2)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States
Combined chamber-tower approach: Using eddy covariance measurements to cross-validate carbon fluxes modeled from manual chamber campaigns (143532)
Antje Maria Moffat1, Vytas Huth2, Jürgen Augustin2, Christian Brümmer1, Mathias Herbst1 and Werner Leo Kutsch3, (1)Thunen Institute of Climate Smart Agriculture, Braunschweig, Germany, (2)Leibniz Centre for Agricultural Landscape Research, Müncheberg, Germany, (3)ICOS ERIC, Head Office, Helsinki, Finland
Spatial analysis of ecosystem production from coordinated in-situ and satellite observations over semi-arid East Asia (133157)
Gensuo Jia1, Hesong Wang2 and Anzhi Zhang1, (1)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)China University of Forestry, Beijing, China
Surface Renewal: Micrometeorological Measurements Avoiding the Sonic Anemometer (186660)
Kosana Suvocarev, University of California Davis, Department of Land, Air and Water Resources, Davis, United States, Michele L Reba, USDA, ARS, Delta Water Management Research Unit, Jonesboro, AR, United States and Benjamin Runkle, University of Arkansas, Department of Biological and Agricultural Engineering, Fayetteville, AR, United States
SQuAd – Approach for the Spatial Quantification of the Advection influence on the balance closure of greenhouse gases (122587)
Claudia Schuetze1, Manuela Barth2, Markus Hehn2 and Astrid Ziemann2, (1)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (2)Technische Universität Dresden, Institute for Hydrology and Meteorology, Dresden, Germany
Biophysical Drivers of Temperature Differences Over Drained and Restored Peatlands in Northern California: an Energy Balance Assessment (135488)
Kyle Hemes, Stanford University, Stanford Woods Institute for the Environment, Stanford, United States, Dennis D Baldocchi, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States and Elke Eichelmann, University College Dublin, Dublin, Ireland
Abiotic and biotic determinants of leaf carbon exchange capacity from tropical to high boreal biomes (151862)
Nicholas G Smith, Texas Tech University, Lubbock, TX, United States and Jeffrey S Dukes, Purdue University, Department of Forestry and Natural Resources, West Lafayette, IN, United States
Global Parameter Optimization of CLM4.5 Using Sparse-Grid Based Surrogates (131601)
Dan Lu1, Daniel M Ricciuto1 and Lianhong Gu2, (1)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
Benchmarking Terrestrial Ecosystem Models in the South Central US (186153)
Manoj Kc1,2, Kim Winton3, Michael A Langston3 and Yiqi Luo1, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)New Mexico Institute of Mining and Technology, Dept. Earth & Environmental Science, Hydrology Program,, Socorro, NM, United States, (3)USGS South Central Climate Science Center, Norman, OK, United States
Functional Unit Testing in the Investigation of Black Spruce Foliar Dark Respiration (149946)
Anthony W King, Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, Jeff Warren, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, Daniel M Ricciuto, Oak Ridge National Laboratory, Oak Ridge, TN, United States and Anna M Jensen, Linnaeus University, Department of Forestry and Wood Technology, Växjö, Sweden
How to Avoid Errors in Error Propagation: Prediction Intervals and Confidence Intervals in Forest Biomass (193783)
Paul Lilly1, Ruth D. Yanai2, Hannah L Buckley3, Bradley S Case3, Richard C Woollons4, Robert Holdaway5 and James Johnson6, (1)Spatial Informatics Group, LLC, Alameda, CA, United States, (2)SUNY College of Environmental Science and Forestry, Syracuse, NY, United States, (3)Lincoln University, Lincoln, New Zealand, (4)University of Canterbury, Christchurch, New Zealand, (5)Landcare Research NZ, Lincoln, New Zealand, (6)University College Dublin, Dublin, Ireland
Quantifying uncertainty in carbon and nutrient pools of coarse woody debris (199071)
Craig Robert See1, John L Campbell2, Shawn Fraver3, Grant M Domke2, Mark E. Harmon4, Jennifer D Knoepp5 and Christopher W Woodall6, (1)University of Minnesota Twin Cities, Department of Ecology, Evolution, and Behavior, St. Paul, United States, (2)USDA Forest Service, Northern Research Station, Vallejo, CA, United States, (3)University of Maine, School of Forest Resources, Orono, United States, (4)Oregon State University, Corvallis, OR, United States, (5)Coweeta Hydrologic Laboratory, U.S. Forest Service, Otto, NC, United States, (6)Northern Research Station, USDA Forest Service, Durham, United States
Uncertainty Propagation in Predictions of Hydraulic Parameters Based on the Pedotransfer Functions (170517)
Boris Faybishenko1, Tetsu K Tokunaga2, Yongman Kim2 and Deb Agarwal1, (1)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Uncertainty in a certain world: standardized approach to evaluating uncertainty in measurement results (150425)
Janae Lynn Csavina and Joshua A Roberti, National Ecological Observatory Network, Boulder, CO, United States
Sources of variability in tissue chemistry in northern hardwood species (177640)
Yang Yang1, Ruth D. Yanai2, Farrah Roxanne Fatemi3, Carrie R Levine4, Paul Lilly5 and Russell Briggs2, (1)State University of New York Environmental Science and Forestry, Environmental Science, Syracuse, NY, United States, (2)SUNY College of Environmental Science and Forestry, Syracuse, NY, United States, (3)St. Michael’s College, Colchester, VA, United States, (4)Spatial Informatics Group, LLC, Alameda, United States, (5)Spatial Informatics Group, LLC, Alameda, CA, United States
Interannual variability, correlated errors, and trend detection of evapotranspiration at AmeriFlux sites (127800)
Angela Jean Rigden, Boston University, Earth and Environment, Boston, United States and Guido Salvucci, Boston University, Earth and Environment, Boston, MA, United States
‘spup’ – An R Package for Analysis of Spatial Uncertainty Propagation and Application to Trace Gas Emission Simulations (147476)
Kasia Sawicka1, Lutz Breuer2, Tobias Houska2, Ignacio Santabarbara Ruiz3 and Gerard B.M. Heuvelink1, (1)Wageningen University, Soil Geography and Landscape group, Wageningen, Netherlands, (2)Justus Liebig University Giessen, Institute for Landscape Ecology and Resources Management, Giessen, Germany, (3)Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany
Evaluating Random Error of Long-term, Multi-plot Flux Gradient Measurements of Agricultural Greenhouse Gas Emissions (165800)
Shannon Elizabeth Brown1, Claudia Wagner-Riddle1 and Muhammad Firdaus Sulaiman2, (1)University of Guelph, School of Environmental Sciences, Guelph, ON, Canada, (2)University of Guelph, Guelph, ON, Canada
Uncertainties in detecting decadal change in extractable soil elements in Northern Forests (183996)
Olivia Bartlett, University of New Hampshire Main Campus, Durham, NH, United States, Scott W Bailey, US Forest Service Durham, Northern Research Station, Durham, NH, United States and Mark J Ducey, University of New Hampshire, Department of Natural Resources, Durham, United States
A geospatial framework for improving the vertical accuracy of elevation models in Florida’s coastal Everglades (186735)
Hannah Cooper1, Caiyun Zhang1 and Matthew Sirianni2, (1)Florida Atlantic University, Boca Raton, FL, United States, (2)Florida Atlantic University, Geosciences, Boca Raton, United States
Forested hillslope water budget uncertainty: understanding the pathway from precipitation to biota to stream discharge (195895)
Heather Nicole Speckman1, Daniel Patrick Beverly2, Jason Mercer3, Suman Chitrakar4, Drew Thayer4, Bradley Carr5, Andy Parsekian6 and Brent E Ewers7, (1)University of Wyoming, WyCEHG, Laramie, WY, United States, (2)Indiana University Bloomington, Bloomington, IN, United States, (3)University of Wyoming, Botany, Laramie, WY, United States, (4)University of Wyoming, Laramie, WY, United States, (5)University of Wyoming, Department of Geology and Geophysics, Laramie, WY, United States, (6)University of Wyoming, Geology, Laramie, WY, United States, (7)University of Wyoming, Botany, Laramie, United States

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