Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic Interfaces Article Swipe
Nicholas Ward
,
Roy Rich
,
Stephanie Pennington
,
Peter Regier
,
Roberta Bittencourt Peixoto
,
Ben Bond‐Lamberty
,
Xingyuan Chen
,
Kennedy O. Doro
,
Kenneth Kemner
,
Fausto Machado‐Silva
,
Nate G. McDowell
,
J. Patrick Megonigal
,
Allison Myers‐Pigg
,
Letícia Sandoval
,
Peter Thornton
,
Michael Weintraub
,
Stephanie J. Wilson
,
Vanessa Bailey
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.15485/2466152
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.15485/2466152
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://www.osti.gov/biblio/2466152
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405228883
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405228883Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.15485/2466152Digital Object Identifier
- Title
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Data for: A Synoptic System for Capturing Ecosystem Control Points Across Terrestrial-Aquatic InterfacesWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
-
Nicholas Ward, Roy Rich, Stephanie Pennington, Peter Regier, Roberta Bittencourt Peixoto, Ben Bond‐Lamberty, Xingyuan Chen, Kennedy O. Doro, Kenneth Kemner, Fausto Machado‐Silva, Nate G. McDowell, J. Patrick Megonigal, Allison Myers‐Pigg, Letícia Sandoval, Peter Thornton, Michael Weintraub, Stephanie J. Wilson, Vanessa BaileyList of authors in order
- Landing page
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https://www.osti.gov/biblio/2466152Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.osti.gov/biblio/2466152Direct OA link when available
- Concepts
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Ecosystem, Terrestrial ecosystem, Environmental science, Aquatic ecosystem, Environmental resource management, Computer science, Remote sensing, Geography, Oceanography, Ecology, Geology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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