H11C:
Advancing Catchment Science: Process Understanding and Societal Benefits from Long-Term Observation and Experimentation I


Submit an Abstract to this Session


Session ID#: 62143

Session Description:
Long-term catchment studies are sentinel sites that have proved invaluable for detecting, documenting, and understanding environmental change. The watershed approach fosters hydrological, biogeochemical, and ecological process understanding at a site, while a collective network of catchment observatories offers a broader context to synthesize understanding across a range of climates and geologies. Also, experimental manipulations designed to assess the effects of land management and climate change are more readily interpreted in well-understood systems. Increasingly, scientists need to deliver policy-relevant and management-oriented results with public funds. Multi-catchment comparisons at various temporal and spatial scales provide information needed to manage ecosystems, and to inform hydrological or Earth systems models. In this session, we seek contributions from observatory, long-term, and experimental catchment studies that include analysis of processes and temporal trends. We especially encourage submissions that illustrate the societal relevance of catchment science.
Primary Convener:  Jonathan M Duncan, Pennsylvania State University, Department of Ecosystem Science and Management, University Park, United States
Conveners:  James B Shanley, United States Geological Survey, New England Water Science Center, Montpelier, United States and Stephen D Sebestyen, USDA Forest Service, Vallejo, CA, United States
Primary Liaison:  Jonathan M Duncan, Pennsylvania State University, Department of Ecosystem Science and Management, University Park, United States
Chairs:  Jonathan M Duncan, Pennsylvania State University, Department of Ecosystem Science and Management, University Park, United States and James B Shanley, United States Geological Survey, New England Water Science Center, Montpelier, United States
OSPA Liaison:  Stephen D Sebestyen, USDA Forest Service, Vallejo, CA, United States

Cross-Listed:
  • B - Biogeosciences
Index Terms:

1804 Catchment [HYDROLOGY]
1879 Watershed [HYDROLOGY]
1880 Water management [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

The Future of Catchment Science: Balancing Revolutionary and Evolutionary Work (378735)
George M Hornberger, Vanderbilt University, Vanderbilt Institute for Energy and Environment, Nashville, TN, United States
The Co-Evolution of Monitoring, Science, and Management in the Intensively-Utilized Watershed of Lake Champlain: History, Successes, and Challenges (438081)
William B Bowden, University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, VT, United States
Estimation of Catchment-Scale Reaction Rates from a Comparison of Passive and Reactive Tracer Time Series in Precipitation and Streamflow (406405)
Julia LA Knapp and James W Kirchner, ETH Swiss Federal Institute of Technology Zurich, Department of Environmental Systems Science, Zurich, Switzerland
Stream Geochemical Response to Reductions in Acid Deposition in Mid-Appalachian Headwater Streams (1992-2015): Chronic versus Episodic Acidification Recovery (419381)
Ami L Riscassi1, Todd M Scanlon2 and James N Galloway1, (1)University of Virginia, Environmental Sciences, Charlottesville, VA, United States, (2)University of Virginia, Department of Environmental Sciences, Charlottesville, United States
Implications of Multi-Fractal Scaling of Catchment Dissolved Oxygen Dynamics for Stream Respiration (442833)
Matthew J Cohen, University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Ft Walton Beach, FL, United States and Robert Thomas Hensley, University of Florida, Ft Walton Beach, United States
Application of machine-learning tools to extract patterns in long-term DOC monitoring data: an integrated, multi-scale approach (411757)
Kristen Underwood1, Donna M Rizzo2, Julia N Perdrial3, Li Li4, Hang Wen5, Thomas Adler6, Adrian Harpold7 and Gary Sterle7, (1)University of Vermont, Civil & Environmental Engineering; Water Resources Institute, Burlington, United States, (2)University of Vermont, Department of Civil and Environmental Engineering, Burlington, United States, (3)University of Vermont, Department of Geography & Geoscience, Burlington, United States, (4)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States, (5)Pennsylvania State University Main Campus, University Park, PA, United States, (6)University of Vermont, Department of Geology, Burlington, VT, United States, (7)University of Nevada Reno, Department of Natural Resources and Environmental Science, Reno, NV, United States
The value of long-term observations for hydrological event response analysis (Invited) (384386)
Theresa Blume1, Daniel Beiter2, Dominic Demand3, Ernestine Sohrt2, Matthias Sprenger4 and Markus Weiler5, (1)GFZ German Research Centre for Geosciences, Hydrology, Potsdam, Germany, (2)GFZ German Research Centre for Geosciences, Potsdam, Germany, (3)University of Freiburg, Chair of Hydrology, Freiburg, Germany, (4)University of Aberdeen, Northern Rivers Institute, Aberdeen, United Kingdom, (5)Albert-Ludwigs-University of Freiburg, Chair of Hydrology, Freiburg, Germany
On the value of collecting long-term, periodic, synoptic water chemistry data in stream networks: Revealing structure and stability of headwater conditions (409125)
Jay P Zarnetske, Michigan State University, East Lansing, MI, United States, Benjamin Abbott, Brigham Young University, Department of Plant and Wildlife Sciences, Provo, UT, United States, Gilles Pinay, IRSTEA Lyon, RiverLy, Villeurbanne Cedex, France, Gerard Gruau, CNRS, UMR 6118, Géosciences Rennes, Rennes, France, William B Bowden, University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, VT, United States, Arial Shogren, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, United States and Frances Iannucci, University of Vermont, Burlington, VT, United States

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