B41L:
The Group on Earth Observations Biodiversity Observation Network (GEO BON): Integrating in Situ and Remotely Sensed Observations to Advance Biodiversity Monitoring, Research, and Applications Posters


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Session ID#: 50437

Session Description:
Characterizing biodiversity patterns and understanding how and why these patterns change over time requires a multi-level approach for monitoring different facets of terrestrial and aquatic biodiversity from genes to ecosystems. Moreover, this endeavour depends upon both remotely sensed and in situ observations, each contributing complementary information. The Group on Earth Observations Biodiversity Observation Network (GEO BON), a flagship of the global GEO partnership, seeks to improve the acquisition and coordination of all types of observations, as well as the delivery of derived products and services to decision makers and the scientific community. At this ten-year anniversary of GEO BON, we highlight the variety of ways that in situ and remotely sensed observations can be used together to advance biodiversity research and conservation, with a particular focus on GEO BON activities, including the development of Essential Biodiversity Variables, regional and national BONS, and thematic networks such as the Marine BON.
Primary Convener:  Allison K Leidner, Department of the Interior Washington DC, Washington, United States
Conveners:  Gary N Geller, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Nestor Fernandez, Group on Earth Observations Biodiversity Observation Network (GEO BON), Secretariat and EBV Data Taskforce, Leipzig, Germany
Primary Liaison:  Allison K Leidner, Department of the Interior Washington DC, Washington, United States
Chairs:  Allison K Leidner, Department of the Interior Washington DC, Washington, United States, Nestor Fernandez, Group on Earth Observations Biodiversity Observation Network (GEO BON), Secretariat and EBV Data Taskforce, Leipzig, Germany and William Turner, NASA Headquarters, Washington DC, United States
OSPA Liaison:  Gary N Geller, NASA Jet Propulsion Laboratory, Pasadena, CA, United States

Cross-Listed:
  • GC - Global Environmental Change
  • OS - Ocean Sciences
Index Terms:

0410 Biodiversity [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Remote sensing of plant functional traits as a basis for mapping biodiversity patterns and predicting ecosystem functioning (422905)
Fabian D Schneider, JPL/NASA/Caltech, Pasadena, United States, Michael E Schaepman, University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland, Paul R Moorcroft, Harvard University, Cambridge, MA, United States, Felix Morsdorf, University of Zurich, Zurich, Switzerland, Philip A Townsend, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, Ryan Pavlick, NASA Headquarters, Washington, D.C., United States and David Schimel, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Development of a forest structure Essential Biodiversity Variable for Colombia’s Biodiversity Observation Network (447590)
Patrick Jantz1, Susana Rodríguez-Buriticá2, Maria Cecilia Londoño2, John David Armston3, Steven Hancock4, Hao Tang5, Ralph Dubayah3 and Scott J. Goetz6, (1)Northern Arizona University, SICCS, Flagstaff, United States, (2)Instituto von Humboldt, Bogota, Colombia, (3)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (5)University of Maryland College Park, College Park, MD, United States, (6)Northern Arizona University, SICCS, Flagstaff, AZ, United States
Predicting Tree Diversity with Full-Waveform Lidar Data across the Tropics (449958)
Suzanne Marselis1, John David Armston2, Ralph Dubayah2 and GEDI Science Definition Team, (1)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States
A Comparison of Forest Biodiversity Metrics Using Field Measurements and Aircraft Remote Sensing (441717)
Kaitlyn Baillargeon1, Scott V Ollinger2, Andrew Ouimette3, Rebecca Sanders-DeMott4, Franklin Sullivan2 and Zaixing Zhou1, (1)University of New Hampshire, Earth Systems Research Center, Durham, NH, United States, (2)University of New Hampshire, Earth Systems Research Center, Durham, United States, (3)University of New Hampshire, Department of Natural Resources and the Environment, Durham, United States, (4)University of New Hampshire, Durham, NH, United States
Detecting biodiversity with multiscale imaging spectrometry in prairie ecosystems (426822)
Hamed Gholizadeh, University of Nebraska-Lincoln, Center for Advanced Land Management Information Technologies, Lincoln, United States, John Arthur Gamon, University of Nebraska-Lincoln, Lincoln, United States; University of Alberta, Dept. of Earth and Atmospheric Sciences, Edmonton, AB, Canada, Arthur I Zygielbaum, University of Nebraska-Lincoln, Center for Advanced Land Management Information Technologies, Lincoln, NE, United States and Jeannine Cavender-Bares, University of Minnesota, Department of Ecology, Evolution and Behavior, Saint Paul, MN, United States
Ecological Spectral Information System: An Open Spectral Library (415327)
Erin Patricia Wagner, University of Wisconsin Madison, Madison, WI, United States, Justin Merz, University of California Davis, Davis, CA, United States and Philip A Townsend, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States
Genomic Observatories Network: socio-technical perspectives on the path to long-term multi-omic observation (446817)
Ramona Walls1, Linda A Amaral-Zettler2, Pier Luigi Buttigieg3, John Deck4, Giorgos Kotoulas5, Chris Meyer6, Julie Robidart7, Matthias Obst8, Chris A Scholin9, Willie Wilson10 and Neil Davies4, (1)University of Arizona, Tucson, AZ, United States, (2)Marine Biological Lab, Woods Hole, MA, United States, (3)Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Chief Scientist, Bremen, Germany, (4)University of California Berkeley, Berkeley, CA, United States, (5)Institute of marine biology, biotechnology and aquaculture, Heraklion, Greece, (6)Smithsonian National Museum of Natural History, Invertebrate Zoology, Washington, DC, United States, (7)National Oceanographic Centre, Southampton, United Kingdom, (8)University of Gothenburg, Department of Marine Sciences, Göteborg, Sweden, (9)MBARI, Washington, United States, (10)SAHFOS, Plymouth, United Kingdom
High View of Coral Reef based on Intelligent Remote Sensing System (467439)
Mingjie Li, Yan Jinhui, Wu Lingling, Chen Qidong and Zeng Jisheng, South China Sea Institute of Planning and Environmental Research,SOA, Guangzhou, China
Ecosystem Functional Diversity of the Circumpolar Arctic Tundra: A Contribution to GEO-BON Essential Biodiversity Variables (354029)
Howard E Epstein1, Amanda Hildt Armstrong2,3, Domingo Alcaraz-Segura4, Elisa Montefiori4, Martha K Raynolds5, Qin Yu6 and Antonio Castro7, (1)University of Virginia, Environmental Sciences, Charlottesville, VA, United States, (2)Universities Space Research Association, Columbia, MD, United States, (3)University of Virginia, Charlottesville, VA, United States, (4)Universidad de Granada, Granada, Spain, (5)University of Alaska Fairbanks, Institute of Arctic Biology, Fairbanks, AK, United States, (6)George Washington University, Geography, Washington, DC, United States, (7)Idaho State University, Pocatello, ID, United States
Parametrization of Land Surface Temperature Fields with Optical and Microwave Remote Sensing in Brazil’s Atlantic Forest (467413)
Ashfaq Khan, CUNY City College of New York, New York, NY, United States, Kyle C McDonald, City University of New York - City College, Earth and Atmospheric Sciences, New York, United States and Ana Carolina Carnaval, CUNY City College, New York, NY, United States
Remotely sensed geodiversity for identifying and predicting biodiverse landscapes (416803)
Kyla Dahlin, Michigan State University, Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, Phoebe L Zarnetske, Michigan State University, Integrative Biology, East Lansing, MI, United States, Sydne Record, Bryn Mawr College, Bryn Mawr, PA, United States, Quentin Read, SESYNC, Annapolis, MS, United States, Leila A Smith, University of Montana, Missoula, MT, United States, Jennifer K Costanza, North Carolina State University, Department of Forestry and Environmental Resources, Raleigh, United States, Andrew O Finley, Michigan State University, Department of Forestry and Geography, East Lansing, MI, United States, Keith Gaddis, Texas A&M University College Station, Geography, College Station, United States, John M Grady, National Great Rivers Research and Educational Center, East Alton, IL, United States, Martina Lena Hobi, University of Wisconsin Madison, Madison, WI, United States, Andrew Latimer, University of California Davis, Davis, United States, Sparkle L Malone, Yale University, New Haven, CT, United States, Scott V Ollinger, National Ecological Observatory Network, Boulder, United States, Stephanie Pau, Florida State University, Geography, Tallahassee, FL, United States and Adam Wilson, University at Buffalo, Geography; Environment & Sustainability, Buffalo, NY, United States
Visualizing and interacting with large-volume biodiversity data using the MBON Data Portal (450200)
Robert J Bochenek1, Gabrielle Canonico2, Frank E Muller-Karger3, Luc Mehl4, Brian Stone4, Stacey Buckelew5 and Tiffany C Vance6, (1)Axiom Data Science LLC, Anchorage, AK, United States, (2)NOAA U.S. Integrated Ocean Observing System, Silver Spring, United States, (3)University of South Florida St. Petersburg, IMaRS, St Petersburg, United States, (4)Axiom Data Science, Anchorage, AK, United States, (5)Axiom Data Science, Homer, AK, United States, (6)U.S. Integrated Ocean Observing System, Seattle, WA, United States
Near-surface remote sensing shed a new light on the biodiversity observation (358302)
Qinghua Guo1, Yanjun Su2, Tianyu Hu1, Shichao Jin1 and Hongcan Guan1, (1)Institute of Botany, Chinese Academy of Sciences, Beijing, China, (2)University of California at Merced, Merced, United States
Expanding Wallace species distribution modeling software to support national biodiversity change indicator calculations for GEO BON assessment and reporting. (410935)
Peter Galante1, Cory Merow2, Beth Gerstner3,4, Jamie M Kass5,6, Gonzalo E. Pinilla-Buitrago5,6, Matthew E. Aiello-Lammens7, Ned Horning8, Peter J Ersts1, Jorge Velasquez-Tibata9, Robert P. Anderson5,6 and Mary E. Blair10, (1)American Museum of Natural History, Center for Biodiversity and Conservation, New York, NY, United States, (2)University of Connecticut, Department of Ecology and Evolutionary Biology, Storrs, CT, United States, (3)Michigan State University, Department of Fisheries and Wildlife, East Lansing, MI, United States, (4)Michigan State University, Ecology, Evolutionary Biology, and Behavior Program, East Lansing, MI, United States, (5)CUNY City College of New York, Department of Biology, New York, NY, United States, (6)CUNY Graduate Center, Program of Biology, New York, NY, United States, (7)Pace University New York, Department of Environmental Studies and Science, Pleasantville, NY, United States, (8)Middlebury, Vermont, Middlebury, United States, (9)Universidad Militar Nueva Granada, Facultad de Ciencias, Cajica, Colombia, (10)American Museum of Natural History, Center for Biodiversity and Conservation, New York, United States
Measurement Ontologies: The Field of Dreams for Essential Biodiversity Variables (394095)
Margaret O'Brien, University of California Santa Barbara, Santa Barbara, CA, United States, Robert J. Miller, University of California, Marine Science Institute, Santa Barbara, United States and Mark Schildhauer, National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States

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