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The geological and ecological sciences -- their natural interdependency reflected in cyberinfrastructure. Annette Olson, John Mosesso, Sue Haseltine, Gladys Cotter Biological Resources Division. U.S. Department of the Interior U.S. Geological Survey. Biological and Geological Linkages.
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The geological and ecological sciences -- their natural interdependency reflected in cyberinfrastructure Annette Olson, John Mosesso, Sue Haseltine, Gladys Cotter Biological Resources Division U.S. Department of the Interior U.S. Geological Survey
Biological and Geological Linkages Earth Surface Coastal & Marine Disasters Minerals Water Biosphere Energy Magnetism Climate
The Need for Informatics Research needs: • data to answer new, multivariate questions; • tools for manipulating and analyzing data; • data for validating models; and • To make own data longer-lived and more valuable. Societal need to have accurate and integrated scientific information for: • increased understanding; and • Informed decision-making.
Environmental Drivers • Climate change • Pollution • Disasters • Invasive Species • Land and resource use • Wildlife diseases Amphibian deformities
Conceptual model of factors influencing and interacting with invasion by exotic species University of Kansas
Species Invasions – Asian long-horned beetle University of Kansas (Anoplophora glabripennis)- Twenty environmental layers
Important Geological Data • Data linked to specific coordinates, • Data about the past (historical or prehistorical), and/or • Data available in real-time or near real-time. Almost all geological information is useful: • Data collected for geological purposes may also serve ecological needs, now or in the future. • Even small, brief studies: “original samples are often the only samples” (Geological Society of America, 2005). “More than 100 million boxes of fossils are in geoscience repositories today” (Committee for the Preservation of Geoscience Data and Collections, 2002).
Integrating Diverse Data from Multiple Disciplines Columbia Spring, Yellowstone - algae pattern in run off
Terminologies and research protocols Biodiversity Complexity Thesaurus Pacific Ecoinformatics and Computational Biology Lab
GAP – Gap Analysis Program • Field plot data • Digital Land CoverDetailed classification of habitat type • Predicted Species RangesModeled ranges of mammals, birds, reptiles, and amphibians • Land Stewardship Maps Delineation of land units by ownership, management, and conservation status Satellite Imagery Elevation Aerial Photography Species Range Modeling Land Management
Temporal framework Marsupial Evolution http://kagi.coe21.kyoto-u.ac.jp/en/tidbit/tidbit30.html
Integrating Diverse Data from Multiple Disciplines Columbia Spring, Yellowstone - algae pattern in run off
Spatial Uncertainty Collection locations for small Mammals in Utah Rowe RJ. 2005. Journal of Biogeography 32: 1883-1897
Uncertainty in 3 dimensions pika Rowe RJ. 2005. Journal of Biogeography 32: 1883-1897
“…it is imperative for ecological forecasts to be associated with estimates of uncertainty or “error bars” so that decision-makers using them have information as to the likelihood of a given forecast” (GEOSS, 2004).
GLOBAL REGIONAL NATIONAL LOCAL Scientific Informatics Systems World Data Centers, Global Biodiversity Information Facility, Clearinghouse Mechanism The Inter-American Biodiversity Information Network, e-Science (Europe) The National Spatial Data Infrastructure, The National Biological Information Infrastructure, The Geosciences Network (US), Environmental Resources Information Network (Australia) State Heritage Programs, GAP Analysis, Universities, Bio-Geographic Information and Observation System
NBIIThe National Biological Information Infrastructure www.nbii.gov
NBII “Major” Partners… • USGS • USFWS • BLM • EPA • NPS • NOAA • NASA • NSF • USDA • DOE/ORNL • IAFWA • OFWIM • TNC • NatureServe • Smithsonian • BioEco • IABIN • NABIN • GBIF • ITIS/Species2000 • NISC • ISSG • CODATA • … Full partner list: http://www.nbii.gov/about/partner/
New Data Collection Techniques Field computers LIDAR UAV BarCodes “We have about 400 years of practice with the scientific method. However, the interaction between science and data systems has a history of less than 40 years” (R. McCord, data manager, Oak Ridge National Laboratory). Smart Dust
Thank you Annette Olson Biodiversity Scientist Biological Informatics Office, USGS alolson@usgs.gov
Variability at different scales Gray et al., Ecology, in press
The Vision for the Future PEaCE Lab www.foodwebs.org
Marsupial Evolution http://kagi.coe21.kyoto-u.ac.jp/en/tidbit/tidbit30.html