Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces

Ward, Nicholas; Rich, Roy; Pennington, Stephanie; Regier, Peter; Bittencourt Peixoto, Roberta; Bond-Lamberty, Benjamin; Chen, Xingyuan; Doro, Kennedy; Kemner, Kenneth; Machado-Silva, Fausto; McDowell, Nate; Megonigal, J. Patrick; Myers-Pigg, Allison; Sandoval, Leticia; Thornton, Peter; Weintraub, Michael; Wilson, Stephanie; Bailey, Vanessa

doi:10.15485/2466152

Title: Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces

Dataset
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Abstract

The investigation of how climate change and water level fluctuations impact variable and interconnected ecosystems, like the interfaces between terrestrial and aquatic environments, requires the collection and integration of many data types. We describe an integrative and autonomous environmental monitoring approach that uses environmental sensors and data loggers to monitor surface water, groundwater, soil, and vegetation changes and generate essential data for predictive models. We established the network at seven sites along the Chesapeake Bay and Lake Erie coastlines, including a large-scale flood manipulation experiment, collectively generating over three million observations per month. Such sensor networks hold great promise for tracking and comprehending environmental changes where land and water intersect. The sensor system and overall approach to sensor management that we have designed is intended to be widely accessible for research teams spanning in size from an individual investigator to large multi-institution projects. This dataset shows example data generated by the sensor network described above. Data output for data loggers connected to groundwater water quality sondes measuring dissolved oxygen, pH, oxidative redox potential (ORP), groundwater elevation, groundwater salinity and temperature, and groundwater elevation; replicate soil moisture and conductivity probes installed at 10 and 30 cm below the ground surface; rainfallmore »« less

Authors:

; Rich, Roy; Pennington, Stephanie; Regier, Peter; Bittencourt Peixoto, Roberta; Bond-Lamberty, Benjamin; Chen, Xingyuan; Doro, Kennedy; Kemner, Kenneth; Machado-Silva, Fausto; McDowell, Nate; Megonigal, J. Patrick; Myers-Pigg, Allison; Sandoval, Leticia; Thornton, Peter; Weintraub, Michael; Wilson, Stephanie; Bailey, Vanessa

Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
Smithsonian Environmental Research Laboratory
Pacific Northwest National Laboratory
University of Toledo
Argonne National Laboratory
Oak Ridge National Laboratory
Smithsonian Environmental Research Center

Publication Date:: Sun Dec 31 23:00:00 EST 2023

DOE Contract Number:: AC02-05CH11231

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; COMPASS-FME

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > AGRICULTURE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > OXYGEN DEMAND; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS > ESTUARINE WETLANDS; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS > LACUSTRINE WETLANDS; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > OCEANS > AQUATIC SCIENCES; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; EARTH SCIENCE > OCEANS > TIDES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUNDWATER CHEMISTRY; forest

OSTI Identifier:: 2466152

DOI:: https://doi.org/10.15485/2466152

Citation Formats


                    Ward, Nicholas, Rich, Roy, Pennington, Stephanie, Regier, Peter, Bittencourt Peixoto, Roberta, Bond-Lamberty, Benjamin, Chen, Xingyuan, Doro, Kennedy, Kemner, Kenneth, Machado-Silva, Fausto, McDowell, Nate, Megonigal, J. Patrick, Myers-Pigg, Allison, Sandoval, Leticia, Thornton, Peter, Weintraub, Michael, Wilson, Stephanie, and Bailey, Vanessa. Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces.  United States: N. p., 2023. 
        Web.  doi:10.15485/2466152.

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                    Ward, Nicholas, Rich, Roy, Pennington, Stephanie, Regier, Peter, Bittencourt Peixoto, Roberta, Bond-Lamberty, Benjamin, Chen, Xingyuan, Doro, Kennedy, Kemner, Kenneth, Machado-Silva, Fausto, McDowell, Nate, Megonigal, J. Patrick, Myers-Pigg, Allison, Sandoval, Leticia, Thornton, Peter, Weintraub, Michael, Wilson, Stephanie, & Bailey, Vanessa. Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces.  United States.  doi:https://doi.org/10.15485/2466152

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                    Ward, Nicholas, Rich, Roy, Pennington, Stephanie, Regier, Peter, Bittencourt Peixoto, Roberta, Bond-Lamberty, Benjamin, Chen, Xingyuan, Doro, Kennedy, Kemner, Kenneth, Machado-Silva, Fausto, McDowell, Nate, Megonigal, J. Patrick, Myers-Pigg, Allison, Sandoval, Leticia, Thornton, Peter, Weintraub, Michael, Wilson, Stephanie, and Bailey, Vanessa. 2023.  
"Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces".  United States.  doi:https://doi.org/10.15485/2466152.  https://www.osti.gov/servlets/purl/2466152. Pub date:Sun Dec 31 23:00:00 EST 2023

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@article{osti_2466152,

  title        = {Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces},

  author       = {Ward, Nicholas and Rich, Roy and Pennington, Stephanie and Regier, Peter and Bittencourt Peixoto, Roberta and Bond-Lamberty, Benjamin and Chen, Xingyuan and Doro, Kennedy and Kemner, Kenneth and Machado-Silva, Fausto and McDowell, Nate and Megonigal, J. Patrick and Myers-Pigg, Allison and Sandoval, Leticia and Thornton, Peter and Weintraub, Michael and Wilson, Stephanie and Bailey, Vanessa},

  abstractNote = {The investigation of how climate change and water level fluctuations impact variable and interconnected ecosystems, like the interfaces between terrestrial and aquatic environments, requires the collection and integration of many data types. We describe an integrative and autonomous environmental monitoring approach that uses environmental sensors and data loggers to monitor surface water, groundwater, soil, and vegetation changes and generate essential data for predictive models. We established the network at seven sites along the Chesapeake Bay and Lake Erie coastlines, including a large-scale flood manipulation experiment, collectively generating over three million observations per month. Such sensor networks hold great promise for tracking and comprehending environmental changes where land and water intersect. The sensor system and overall approach to sensor management that we have designed is intended to be widely accessible for research teams spanning in size from an individual investigator to large multi-institution projects. This dataset shows example data generated by the sensor network described above. Data output for data loggers connected to groundwater water quality sondes measuring dissolved oxygen, pH, oxidative redox potential (ORP), groundwater elevation, groundwater salinity and temperature, and groundwater elevation; replicate soil moisture and conductivity probes installed at 10 and 30 cm below the ground surface; rainfall and solar radiation; and mean sap flow from 8 replicate probes. Sensors are installed at upland forest (UP), wetlands (W), and transitional locations between these ecosystems (TR). Example datasets are from Goodwin Islands in the Chesapeake Bay and Portage River along the Lake Erie coastline.},

  doi          = {10.15485/2466152},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 31 23:00:00 EST 2023},

  month        = {Sun Dec 31 23:00:00 EST 2023}

}

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DOI: https://doi.org/10.15485/2466152

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