H13S:
Understanding the Extent and Impacts of Land Use/Land Cover Change on Hydrology II


Session ID#: 10640

Session Description:
Land-use and land cover change have the potential to drastically alter the hydrologic cycle and alter the spatiotemporal movements of water resources. The emerging challenges of land system changes from a natural resource perspective are (1) Observing/estimating land-use and land-cover change and (2) Quantifying/predicting subsequent hydrologic impacts. This session invites submissions that use emerging geospatial techniques to quantify hydrologically-relevant landscape change and/or examine land-use and land-cover impacts on: (i) Regional water balance/water resource change (ii) Changing land-atmosphere water fluxes (iii) Regional climate/drought characteristics (iv) Land degradation and subsequent hydrological change.  We also welcome studies exploring hydro-chemical fluxes and those dealing with uncertainty in selection of land cover datasets, assimilation of observed vegetation characteristics, modeling, or statistical methods.
Primary Convener:  Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States
Conveners:  Shraddhanand Shukla, University of California Santa Barbara, Climate Hazards Center, Santa Barbara, CA, United States, Adrian Adam Harpold, University of Colorado at Boulder, Institute of Arctic and Alpine Research, Boulder, CO, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States
Chairs:  Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States and Shraddhanand Shukla, University of California Santa Barbara, Climate Hazards Center, Santa Barbara, CA, United States
OSPA Liaison:  Sujay V Kumar, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States

Cross-Listed:
  • B - Biogeosciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

1009 Geochemical modeling [GEOCHEMISTRY]
1632 Land cover change [GLOBAL CHANGE]
1836 Hydrological cycles and budgets [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]

Abstracts Submitted to this Session:

The Expansion of Agriculture and Its Effects of Evapotranspiration in Brazil’s Newest Agricultural Frontier (61989)
Stephanie Anne Spera1, Michael Thomas Coe2, Gillian L Galford3, Marcia Macedo2 and John F Mustard4, (1)University of Richmond, Geography, Environment, and Sustainability, Richmond, United States, (2)Woodwell Climate Research Center, Falmouth, United States, (3)University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, United States, (4)Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, RI, United States
Land use/cover change detection in East Africa using hyper-temporal biophysical and socioeconomic variables (Invited) (59838)
Michael Marshall, Harvey Herr and Michael Norton-Griffiths, World Agroforestry Centre (ICRAF), Nairobi, Kenya
Quantifying the Sensitivity of Water Yield to Forest Disturbances Across a Diverse Set of Unmanaged Watersheds throughout the Continential United States (65446)
Brian Buma, University of Alaska Southeast, Juneau, United States and Ben Livneh, University of Colorado at Boulder, Department of Civil, Environmental, and Architectural Engineering, Boulder, United States
The Effect of Urbanization on Flow Duration Curves: A Case Study from Selected Streams in the Puget Sound Basin, Western Washington (73270)
Peter A Nelson, Colorado State University, Civil and Environmental Engineering, Fort Collins, United States, Tyler T Rosburg, Colorado State University, Fort Collins, CO, United States and Brian P Bledsoe, University of Georgia, Institute for Resilient Infrastructure Systems, Athens, GA, United States
The Value of Data Assimilation for Dynamic Vegetation Monitoring in Land Surface Modeling (Invited) (59921)
Dr. Grey Stephen Nearing, PHD, Upstream Tech, Tuscaloosa, United States
AN AUTOMATED ALGORITHM FOR PRODUCING LAND COVER INFORMATION FROM LANDSAT SURFACE REFLECTANCE DATA ACQUIRED BETWEEN 1984 AND PRESENT (73611)
Jennifer Rover1, Martin B Goldhaber2, Cheryl Holen3, Ray Dittmeier4, Steve Wika3, Daniel Steinwand1, Devendra Dahal5, Brian Tolk4, Robert Quenzer3, Kurtis Nelson6, Bruce K Wylie1 and Michael Coan3, (1)USGS Earth Resources Observation and Science Center, Sioux Falls, SD, United States, (2)US Geological Survey, John Wesley Powell Center for Analysis and Synthesis, Denver, CO, United States, (3)Stinger Ghaffarian Technologies (SGT, Inc.), Sioux Falls, SD, United States, (4)KBR, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, USGS EROS, Sioux Falls, SD, United States, (5)KBR, contractor to U.S. Geological Survey Earth Resources Observation Science Center, Sioux Falls, SD, United States, (6)USGS Earth Resources Observation and Science Center, Sioux Falls, United States
Linking land use/land cover change to phosphorus and sediment runoff in the Great Lakes basins (76165)
Charles Hobart Perry, USDA Forest Service, Vallejo, CA, United States, Mark Nelson, USDA Forest Service, Saint Paul, United States and James D Garner, USDA Forest Service, Saint Paul, MN, United States

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