Research Group
- Overview
- Datasets 15
- People 14
- Publications 0
- Information Products 0
Jeremy (Jerry) Wiggert, Greg Easson, Kamal Ali, Adam Skarke
Mississippi Based RESTORE Act Center of Excellence (MBRACE)
The MBRACE Core Research program for 2020 – 2022 will continue to model and assess seasonal trends in Mississippi Sound water quality, the dynamics of freshwater inflow into the Sound, and the suitability of Sound waters for sustainable oyster production. During the initial round of Core Research Program funding (2018-2020), the MBRACE partners, at USM, MSU, JSU and UM, collected essential base-line data that supported assessments of western Mississippi Sound water quality, stressors impacting water quality, oyster biology and ecology, and oyster reef health and sustainability. This new project extends the original Core Research Program’s research activity through continuing to model and assess water quality in the western Mississippi Sound while expanding our research activities into bays and other coastal waters, assessing locations with the potential for sustainable estuarine ecosystem development, and synthesizing all data from the first phase of research for distribution and use by competitively funded projects. Due to record flooding in much of the Mississippi River valley, the Bonnet Carré spillway was opened in 2018 and twice in 2019 to relieve flooding pressure on levees in New Orleans. This unprecedented event resulted in a large influx of freshwater into the Mississippi Sound through Lake Pontchartrain. This project gathers the data needed to model and assess: (1) the return of water quality conditions in the western Mississippi Sound that can support and sustain existing oyster reefs; (2) oyster spat movement and successful recruitment onto reefs; (3) the reestablishment of oyster reefs growing toward harvestable size; and (4) the overall ecosystem services of the Sound. This provides the MBRACE team with a unique opportunity to study the recovery of an estuarine ecosystem from a major event. The effort to assess the Sound’s recovery and identify potential locations for establishing new oyster reefs consist of a comprehensive, interleaved observational and modeling approach that provides a holistic view of the Mississippi Sound marine ecosystem. The research integrates water quality and ecological data with a coordinated suite of numerical models. Data are obtained by ship-based sampling, in situ sensor platforms, and spat settlement experiments. The models provide insight on water quality conditions throughout the Sound, advective pathways suitable for oyster spat transport, settlement and successful recruitment, and near real-time projection of the impact of spillway openings, flooding events, and storms. The use of high spatial and temporal resolution remotely sensed imagery provides all researchers with a synoptic view of conditions of the Mississippi Sound and the contributing land surface areas. Project results will provide a more thorough understanding of the recovery of the western Mississippi Sound and its oyster reefs, a science-based approach to selecting new areas for oyster and ecosystem restoration, and the initialization of a long-term set of data describing conditions in the Mississippi Sound.
Water quality data collected from Wolf River and Jourdan River from 2022-01-05 to 2022-12-20
Published On: Jul 19 2023 19:58 UTC
File Format: xlsx
UDI: M2.x936.000:0001
File Size: 10.52 KB
Water quality data collected from Wolf River and Jourdan River, 2021-02-22 to 2021-12-22
Published On: Mar 25 2022 17:30 UTC
File Format: xlsx, pdf
UDI: M2.x936.000:0002
File Size: 11.56 KB
Water quality data collected from northern Mississippi Sound, 2021-07-23 to 2021-08-19
Published On: Sep 29 2022 18:56 UTC
File Format: csv
UDI: M2.x936.000:0003
File Size: 351.61 KB
CTD and spectroradiometer data in the Mississippi Sound from 2020-11-12 to 2021-09-29
Published On: Dec 05 2022 03:17 UTC
File Format: .XMLCON, .hex, .hdr, .txt, .asc, .psa,. xlsx
UDI: M2.x936.000:0004
File Size: 12.62 MB
Oyster recruitment in Mississippi Sound from 2019-09-10 to 2021-10-12
Published On: Aug 14 2023 19:17 UTC
File Format: xlsx
UDI: M2.x936.000:0005
File Size: 53.89 KB
CTD and spectroradiometer data, Mississippi Sound from 2022-04-01 to 2022-09-16
Published On: Jun 05 2023 20:46 UTC
File Format: XMLCON; hex; hdr; txt; asc
UDI: M2.x936.000:0008
File Size: 4.81 MB
Surface water quality data obtained from Mississippi Sound from 2021-06-02 to 2021-09-29
Published On: Jul 31 2023 21:49 UTC
File Format: xlsx
UDI: M2.x936.000:0009
File Size: 35.06 KB
Surface water quality data of the Mississippi Sound sampled from 2022-09-12 to 2022-09-16
Published On: Aug 02 2023 15:42 UTC
File Format: xlsx
UDI: M2.x936.000:0010
File Size: 14.06 KB
Water quality data from three depths in Mississippi Sound from 2020-11-12 to 2021-07-29
Published On: Aug 02 2023 19:53 UTC
File Format: xlsx
UDI: M2.x936.000:0011
File Size: 22.02 KB
Water quality data from three depths of the Mississippi Sound obtained from 2022-04-01 to 2022-09-16
Published On: Aug 14 2023 21:26 UTC
File Format: xlsx
UDI: M2.x936.000:0012
File Size: 18.98 KB
Remote sensing data and imagery collected in Mississippi Sound by UAS, from 2021-07-26 to 2021-07-29
Published On: Mar 20 2024 19:16 UTC
File Format: tif, dat, txt
UDI: M2.x936.000:0013
File Size: 70.66 GB
Remote sensing data and drone imagery obtained by UAS, Mississippi Sound, 2022-09-12 to 2022-09-16
Published On: Mar 18 2024 21:42 UTC
File Format: tif, dat, txt
UDI: M2.x936.000:0014
File Size: 52.07 GB
Water quality data collected from northern Mississippi Sound, Mississippi from 2022-02-25 to 2022-03-16
Published On: May 02 2023 19:04 UTC
File Format: csv
UDI: M2.x936.000:0015
File Size: 1.55 MB
Mustafa (Kemal) Cambazoglu
Research Scientist
University of Southern Mississippi / Department of Marine Science
Kemal.Cambazoglu@usm.edu
Prem Parajuli
Associate Professor
Mississippi State University / Department of Agricultural and Biological Engineering
pparajuli@abe.msstate.edu
Chet Rakocinski
Professor
The University of Southern Mississippi / Gulf Coast Research Laboratory
chet.rakocinski@usm.edu