UROP Research Mentor Project Submission Portal: Submission #324

Submission information
Submission Number: 324
Submission ID: 7866
Submission UUID: 4933ec81-968d-45b1-accb-404eb154fa54

Created: Fri, 06/02/2023 - 12:35 PM
Completed: Fri, 06/02/2023 - 12:47 PM
Changed: Mon, 09/25/2023 - 07:32 PM

Remote IP address: 146.201.0.160
Submitted by: Anonymous
Language: English

Is draft: No

Research Mentor Information

Dr. Sandra Brooke
she/her
Dr.
sbrooke@fsu.edu
Faculty
Arts and Sciences
Florida State University Coastal & Marine Lab
sandra-brooke-1x1.jpg

Additional Research Mentor(s)

Rand Romas
he/him
Mr.
rrr22c@fsu.edu
Shannon Murphy
she/her
Ms.
sem22m@fsu.edu

Overall Project Details

3D Modeling of Artificial Reef Structures in Apalachicola Bay, Florida as an Indicator of Reef Recovery Potential
Oysters, Ecology, Field Research, Data Analysis, 3D Modeling, Marine
No
2
Biology/Biological Sciences, Oceanography, Environmental Science, Computational Biology, Natural resources/conservation
3618 US Hwy 98, St. Teresa FL 32358
Yes
Partially Remote
8-10
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
The FSU Coastal and Marine Laboratory (FSUCML) is home to a large, multi-faceted research project named the Apalachicola Bay System Initiative (ABSI). ABSI aims to conduct research and restoration experiments that will ultimately guide restoration and management efforts in restoring the local oyster population and improving the system’s overall health. The Artificial Reef project contributes to this by focusing on understanding the reef recovery potential in Apalachicola Bay. UROP students will be trained to assist in creating 3D models of artificial reef structures and will even have the chance to participate in field operations sampling these structures. These data will help us understand how environmental characteristics influence habitat recovery of oyster reef communities and identify the most promising sites for successful future shelling and restoration efforts.
3D Model Processing: UROP student will be trained in how to use the Photogrammetry program Agisoft Metashape to create 3D models out of photographs taken of the Artificial Reef Structures.

Data Entry: Data collected from photogrammetric processing will be uploaded to a long-term monitoring database.

Data Analysis: Volumetric calculations will be paired with water quality records to understand how environmental conditions influence the recovery and colonization of sites across the bay.

Data Collection: In the late Fall, the UROP student will have the option to join ABSI on a round of photographing the artificial reef structures in Apalachicola Bay. This is an opportunity to assist on a vessel while divers collect the structures for the student to assist in photographing.
Available at least one day per week to come to the FSUCML for check-ins and training assistance. As independence is achieved schedule will be more flexible for working from home *Required*

Proficiency in the basics of MS Excel and MS Word * Required*

Foundational knowledge of statistical analysis *Recommended*
As your UROP mentors, we seek to first and foremost create a safe and welcoming space for students of all identities and backgrounds to tackle new challenges and develop their skills. Scientifically, we look to provide students with a comprehensive introduction to field-based research through exposure to the data collection and post-analysis cycle of long-term monitoring. We aim to expand the student’s ability to comprehend and report scientific findings, meeting them where they are at and working together to demonstrate how to approach future scientific inquiry. Communicatively, we will ensure that you always have clear guidance on the task at hand but will encourage and guide independent problem-solving that can be applied to future research opportunities. We encourage active communication to meet the student’s needs while also exercising skills in time management and independence. Professionally, we also look to expose the student to our lab’s team of faculty, staff, and graduate students who are always eager to connect and share their journeys.
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UROP Program Elements

Yes
Yes
Yes
Yes
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2023
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