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

Dataset · Sun Dec 31 23:00:00 EST 2023

DOI:https://doi.org/10.15485/2466152· OSTI ID:2466152

Ward, Nicholas ^[1]; Rich, Roy ^[2]; Pennington, Stephanie ^[3]; Regier, Peter ^[3]; Bittencourt Peixoto, Roberta ^[4]; Bond-Lamberty, Benjamin ^[3]; Chen, Xingyuan ^[3]; Doro, Kennedy ^[4]; Kemner, Kenneth ^[5]; Machado-Silva, Fausto ^[4]; McDowell, Nate ^[3]; Megonigal, J. Patrick; Myers-Pigg, Allison ^[3]; Sandoval, Leticia ^[4]; Thornton, Peter ^[6]; Weintraub, Michael ^[4]; Wilson, Stephanie ^[7]; Bailey, Vanessa ^[3]

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1. Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
2. Smithsonian Environmental Research Laboratory
3. Pacific Northwest National Laboratory
4. University of Toledo
5. Argonne National Laboratory
6. Oak Ridge National Laboratory
7. Smithsonian Environmental Research Center

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.

• Research Organization: Environmental System Science Data Infrastructure for a Virtual Ecosystem; COMPASS-FME
• Sponsoring Organization: U.S. DOE > Office of Science > Biological and Environmental Research (BER)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 2466152
• Country of Publication: United States
• Language: English

Related Subjects

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
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