Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • BCO-DMO Processing Description
• Data Files
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

This dataset contains water level data from Back Sound, North Carolina collected with a stationary logger deployed from June to December of 2011.

Other Back Sound datasets in this project:
Oyster density and length
Laser scans
Reef elevation, exposure, and vertical change

These data are published in:

Ridge, J. T., Rodriguez, A. B., Fodrie, F. J., Lindquist, N. L., Brodeur, M. C., Coleman, S. E., ... & Theuerkauf, E. J. (2015). Maximizing oyster-reef growth supports green infrastructure with accelerating sea-level rise. Scientific reports, 5. doi: 10.1038/srep14785

Three HOBO(R) U20 Water Level Loggers (Onset Computer Corporation;+- 0.3 cm accuracy) were deployed in Middle Marsh (site MF-1). The loggers were placed in a stilling well (slotted PVC pipe) attached to rebar that was driven into the substrate to refusal (~3 m deep).

The water level was initially sampled every ten minutes from 2011-12-13 to 2011-08-25 and increased to every five minutes for the rest of the deployment.

Three deployment series at site MF-1:
2011-06-18T12:10Z to 2011-08-25T09:40Z (10-minute sampling)
2011-08-25T12:05Z to 2011-09-23T09:35Z (5-minute sampling)
2011-09-28T17:30Z to 2011-12-13T01:05Z (5-minute sampling)

See Ridge et al. 2017 for additional deployment information.

Ridge, J. T., Rodriguez, A. B., Fodrie, F. J., Lindquist, N. L., Brodeur, M. C., Coleman, S. E., ... & Theuerkauf, E. J. (2015). Maximizing oyster-reef growth supports green infrastructure with accelerating sea-level rise. Scientific reports, 5. doi: 10.1038/srep14785

* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* blank values replaced with no data value 'nd'
* added site name and lat/lon
* removed lines that said "Break" with no data. Date ranges for the three series in this deployment were added to the Methods & Sampling.
* data version 2017-07-12 is an update of version 2017-04-20 which includes both local and UTC time

Description from NSF award abstract:
The PIs will use the eastern oyster (Crassostrea virginica) in Pamlico Sound, North Carolina, as a model system and will attempt to optimize the design of networks of no-take reserves as a strategy for maintaining metapopulations of this commercially harvested species. The project specifically recognizes that network persistence depends on (1) the potential for growth, survival, and reproduction within reserves, and (2) the potential to distribute offspring among reserves. Thus, demographic processes within reserves and settling areas play important roles, along with variability of physical transport. The PIs plan to:
(1) test and refine 3D bio-physical models of connectivity due to oyster larval transport in a shallow, wind-dominated system;
(2) test, refine, and apply technology to detect natal origins of larvae using geochemical tags in larval shell; and
(3) integrate regional connectivity and demographic rates to model metapopulation dynamics.

This study will produce new tools and test and refine others used for studying larval connectivity, a fundamentally important process in the maintenance of natural populations, and thus in biological conservation and resource management. The tools include a hydrodynamic modeling tool coupled with an open-source particle tracking model that will be available on-line with computer code and user guide. The project will use integrated modeling approaches to evaluate the design of reserve networks: results will be directly useful to improving oyster and ecosystem-based management in Pamlico Sound, and the methods will inform approaches to network design in other locations.