B067
Integrating data from heterogeneous sources across spatial and temporal scales to advance knowledge of ecosystem structure, function and process

Session ID#: 76350

Session Description:
New sensors, increased data availability, and emerging technologies facilitate novel, cross-disciplinary approaches to advance our understanding of terrestrial systems. Integrating data from heterogeneous sources —  like remote sensing, eddy covariance, tree ring, and foliar chemistry data — provides an opportunity to develop a multi-scale understanding of ecosystem dynamics. Researchers who use multiple data streams face unique opportunities and challenges; new environmental insights can be extracted from complementary datasets, but different spatiotemporal resolutions introduce scaling issues and uncertainties. How can we integrate data from heterogeneous sources using data-driven approaches? What are key opportunities to inform understanding of ecosystem dynamics and biogeochemical cycles? We invite submissions from researchers using data from heterogenous sources to study ecosystem structure, function, and process. We are particularly interested in research using multiple data streams to explore intra-annual ecosystem dynamics (i.e. phenology, drought, disturbances) and techniques to resolve discrepancies in datasets of different temporal and spatial resolutions.
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]

Primary Convener:  Mallory Barnes, Indiana University Bloomington, O'Neill School of Public and Environmental Affairs, Bloomington, IN, United States
Conveners:  Martha Gebhardt, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and Amy Hudson, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Primary Liaison:  Mallory Barnes, Indiana University Bloomington, O'Neill School of Public and Environmental Affairs, Bloomington, IN, United States
 
Large-scale reductions in terrestrial carbon uptake due to central Pacific El Niño revealed by remote sensing and land surface models (Invited) (491743)
Matthew P Dannenberg1, Yulong Zhang2, Conghe Song2, Deborah N Huntzinger3, David JP Moore4 and William Kolby Smith4, (1)University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, IA, United States, (2)University of North Carolina at Chapel Hill, Department of Geography, Chapel Hill, NC, United States, (3)Northern Arizona University, School of Earth Sciences and Environmental Sustainability, Flagstaff, AZ, United States, (4)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
 
Mapping of Spatiotemporal Dynamics of Fog Daily Duration in a Tropical Montane Cloud Forest (493812)
HsinJu Li and Choying Huang, National Taiwan University, Taipei, Taiwan
 
Towards a holistic understanding of tree drought recovery: Leveraging greenhouse experiments, tree-ring records, and ecosystem fluxes to quantify the impacts of water stress on tree physiology and forest carbon cycling (495126)
Steven Kannenberg1, Kimberly A Novick2, Richard Phillips3, Justin T. Maxwell2, Neil Pederson4, Loïc D'Orangeville5 and William Anderegg1, (1)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (2)Indiana University Bloomington, Bloomington, IN, United States, (3)Indiana University Bloomington, Department of Biology, Bloomington, IN, United States, (4)Harvard Forest, Petersham, MA, United States, (5)University of New Brunswick, Fredericton, QC, Canada
 
Global Patterns and Climate Controls of Terrestrial Ecosystem Light Use Efficiency (509276)
Shuchang Tang1, Shilong Piao2 and Xuhui Wang2, (1)Peking University, Beijing, China, (2)Peking University, College of Urban and Environmental Sciences, Beijing, China
 
A method for identifying suitable biodiversity offset sites and its application to reclamation of coastal wetlands in China (511225)
Shuling Yu, Beijing Normal University, Beijing, China
 
Remote Sensing of Plant Physiological Traits in Arctic Vegetation (515470)
Holly Croft, University of Sheffield, Sheffield, United Kingdom, Cheryl Rogers, University of Toronto, Geography and Planning, Toronto, ON, Canada and Kadmiel Maseyk, Open University, Milton Keynes, MK7, United Kingdom
 
Using moderate and high spatial resolution imagery to characterize seasonal variation in leaf area in a temperate broadleaf forest. (521740)
Leticia Lee, Boston University, Boston, MA, United States and Mark A Friedl, Boston University, Earth and Environment, Boston, MA, United States
 
Resolving interannual climate sensitivity of tree growth and forest productivity by integrating tree-rings, leaf hydraulic traits, and forest census data (534853)
Kristina J Anderson-Teixeira1,2, Ryan Helcoski2, Ian McGregor2, Alan J. Tepley2, Valentine Herrmann2, Erika B Gonzalez-Akre2, Norbert Kunert1,3, Neil Pedersen4, Lawren Sack5 and Atticus E Stovall6, (1)Smithsonian Tropical Research Institute, Center for Tropical Forest Science, Balboa, Panama, (2)Smithsonian Conservation Biology Institute, Conservation Ecology Center, Front Royal, VA, United States, (3)Smithsonian Conservation Biology Institute, Conservation Ecology Center, Front Royal, United States, (4)Harvard Forest, Petersham, United States, (5)University of California Los Angeles, Ecology and Evolutionary Biology, Los Angeles, CA, United States, (6)NASA Goddard Space Flight Center, Washington, DC, United States
 
Multi-Temporal and Multi-Frequency Analysis to Assess Forest Degradation in Bajo Calima - Colombia. (537503)
ANA Maria Pacheco Pascagaza1, Mariano Garcia-Alonso2, Heiko Balzter3 and Pedro Rodriguez-Veiga Dr3, (1)Centre for Landscape and Climate Research, School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom, (2)University of Alcala, Department of Geology, Geography and Environment, Madrid, Spain, (3)Centre for Landscape and Climate Research (CLCR), National Centre for Earth Observation (NCEO), School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom
 
Estimating the Above Ground Biomass of Brazilian Savannah (Cerrado) using multi-sensor approach (543408)
Polyanna da Conceição Bispo1, Pedro Rodriguez-Veiga1, Sabrina do Couto de Miranda2, Cassio Henrique Giusti Cezare2, Sam Fleming3, Francesca Baldacchino3, Julia Shimbo4, Barbara Zimbres4, Ane Alencar4, Laerte Ferreira5, Iris Roitman6, Mercedes Bustamante6, Yaqing Gou7, John Roberts7, Valentin Louis7, Kirsten M Barrett7, Ana Maria Pacheco Pascagaza7, Eráclito Sousa-Neto8, Ian Woodhouse3, Fernando Espírito-Santo7, Jean Pierre Ometto9 and Heiko Balzter1, (1)Centre for Landscape and Climate Research (CLCR), National Centre for Earth Observation (NCEO), School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom, (2)Universidade do Estado de Goiás (UEG), Campus Palmeiras de Goiás, Goiânia, Brazil, (3)Carbomap Ltd., Edinburgh, United Kingdom, (4)Amazon Environmental Research Institute (IPAM), Brasília, Brazil, (5)Federal University of Goiás, Social and Environmental Studies Institute, Goiânia, Brazil, (6)Universidade de Brasília (UNB), Brasília, Brazil, (7)Centre for Landscape and Climate Research (CLCR), School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom, (8)INPE National Institute for Space Research (INPE), Earth System Science Center, São José dos Campos, Brazil, (9)INPE National Institute for Space Research, Earth System Science Center, Sao Jose dos Campos, Brazil
 
Patterns and Drivers of Interannual Variation in Canopy Biochemistry: an Analysis of the 27-year Record of Imaging Spectroscopy Data Over Blackhawk Island, WI (1992-2019) (548100)
Adam Chlus1, Aditya Singh2, Eric L Kruger1 and Philip A Townsend1, (1)University of Wisconsin-Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States, (2)University of Florida, Department of Agricultural & Biological Engineering, Gainesville, FL, United States
 
Using Aerial LiDAR Data to Improve Accuracy in Eddy-Covariance Measurements (551398)
Robert Shortt, Richmond, California, United States
 
Photochemical Reflectance Index (PRI) is Sensitive to the Ecohydrology of a Semi-arid Mixed Conifer Forest (553860)
Julia Yang1, Troy Sehlin Magney2, Dong Yan3, John F Knowles4,5, William Kolby Smith3 and Greg Barron-Gafford6, (1)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (2)University of California, Davis, Department of Plant Science, Davis, CA, United States, (3)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (4)University of Arizona, Tucson, AZ, United States, (5)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States, (6)University of Arizona, School of Geography and Development, Tucson, AZ, United States
 
Using Continuous Sap Flux and Soil Respiration Datasets to Infer the Strength and Speed of Root-Soil Coupling in a Deciduous Forest (555326)
Stephanie C Pennington1, Ben P Bond-Lamberty1, Charlotte Grossiord2, Wenzhi Wang3 and Nate McDowell3, (1)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States, (2)WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland, (3)Pacific Northwest National Laboratory, Richland, WA, United States
 
Evaluating high-frequency solar-induced chlorophyll fluorescence and photochemical reflectivity as improved proxies for photosynthesis and associated water stress effect in dryland ecosystems (562192)
Xian Wang1, Dong Yan1, Russell L Scott2, Joel A Biederman2, John F Knowles2 and William Kolby Smith1, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States
 
Multi-scale analysis of tropical forest canopy productivity and function using heterogeneous remote sensing data on Barro Colorado Island, Panama (606092)
Trina L Merrick, Vanderbilt University, Nashville, TN, United States; Florida State University, Geography, Tallahassee, FL, United States, Stephanie Pau, Florida State University, Tallahassee, FL, United States, Detto Matteo, Organization Not Listed, Smithsonian Tropical Research Institute, Washington, DC, United States and Eben N Broadbent, University of Alabama, Tuscaloosa, AL, United States
 
Semi-arid biome vulnerability to nearly two decades of uncharacteristic drought in the Southwestern US (608370)
Marcy E Litvak1, Daniel J Krofcheck1, Tomer Duman2 and Cheng-Wei Huang3, (1)University of New Mexico Main Campus, Albuquerque, NM, United States, (2)University of New Mexico, Biology, Albuquerque, NM, United States, (3)University Of New Mexico, Biology, Albuquerque, NM, United States
 
Phenology in U.S. agroecosystems – Integrating data from the Long-Term Agroecosystem Research (LTAR) Network (Invited) (610723)
Dawn M Browning1, Guillermo Ponce-Campos2, Eric Russell3, Nicole Kaplan4, Nicanor Saliendra5, Joseph G Alfieri6, John M Baker7, David D Bosch8, Raoul K Boughton9, Pat Clark10, Gerald N Flerchinger11, Jeff Gonet12, Lou Saporito13, David Lewis Hoover14, Earl Keel15, Marguerite Mauritz16, Gretchen R Miller17, Andrew D Richardson18,19, John Sadler20, David Smith4, Russell L Scott21, Andy Suyker22, Craig E. Tweedie16, Steve Wagner23 and Brian Wienhold24, (1)USDA Agricultural Research Service, Las Cruces - ARS, Las Cruces, NM, United States, (2)University of Arizona, Tucson, AZ, United States, (3)Washington State University, Laboratory for Atmospheric Research, Pullman, WA, United States, (4)USDA Agriculture Research Service, Fort Collins, United States, (5)USDA Agriculture Research Service, Mandahn, United States, (6)U. S. Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (7)USDA Agriculture Research Service - Soil & Water Mgmt, Saint Paul, MN, United States, (8)USDA Agriculture Research Service, Tifton, GA, United States, (9)University of Florida, Range Cattle Research and Education Center, Ona, FL, United States, (10)USDA Agriculture Research Service, Boise, ID, United States, (11)USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, ID, United States, (12)USDA Agricultural Research Service, University Park, PA, United States, (13)USDA Agriculture Research Service, University Park, United States, (14)USDA Agriculture Research Service, Fort Collins, CO, United States, (15)USDA Agriculture Research Service, Tifton, United States, (16)University of Texas at El Paso, El Paso, TX, United States, (17)Texas A & M University, Civil Engineering, College Station, TX, United States, (18)Harvard University, Cambridge, MA, United States, (19)Northern Arizona University, Flagstaff, AZ, United States, (20)USDA Agriculture Research Service, Columbia, MO, United States, (21)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States, (22)University of Nebraska, Lincoln, United States, (23)USDA Agriculture Research Service, Saint Paul, United States, (24)USDA Agricultural Research Service, Lincoln, NE, United States
 
Observation and Quantification of Seasonal C/N/P Dynamics during Litter Decomposition in a Watershed Ecosystem (613911)
Zhao Hao1, Xiaoqin Wu1, Markus Bill2, Alexander Polussa1, Romy Chakraborty3 and Eoin Brodie4, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Lab, Berleley, CA, United States, (3)Lawrence Berkeley Nat'l Lab, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences, Berkeley, CA, United States
 
Increased Spatiotemporal Resolution of Whole-Tree Carbon Assimilation Estimated with Stable Isotopes from Tree-Ring Cellulose (616181)
Brandon M. Strange, University of Arizona, Tucson, AZ, United States, Jia Hu, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, Greg Barron-Gafford, University of Arizona, School of Geography and Development, Tucson, AZ, United States and John F Knowles, USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States
 
Understanding the Impact of Vegetation Dynamic in the Noah-MP Land Surface Model over C3/C4 Grasslands (632240)
Atefeh Hosseini, University of Kansas, Lawrence, KS, United States, Joshua K Roundy, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States and Nathaniel A Brunsell, University of Kansas, Department of Geography and Atmospheric Science, Lawrence, KS, United States
 
Rapid assessment of forest canopy structural resistance to disturbance along an increasing gradient of severity (632343)
Jeff W Atkins, Virginia Commonwealth University, Biology, Richmond, VA, United States, Lisa Haber, Virginia Commonwealth University, Integrative Life Sciences, Richmond, VA, United States, Ben P Bond-Lamberty, Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States, Evan Paris, Vassar College, Poughkeepsie, NY, United States, Alexey N Shiklomanov, University of Delaware, Newark, DE, United States and Christopher Michael Gough, VCU-Biology, Richmond, VA, United States
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