Ecologist at U. S. Geological Survey, Wetland and Aquatic Research Center
M.S., Biology, Marine Ecology, University of Central Florida
B.S., Biology, University of South Florida
Experience in large scale ecosystem restoration and Deepwater Horizon Oil Spill programs including the Mississippi Coastal Improvements Program (MsCIP), Louisiana Coastal Area (LCA) Restoration Program, Everglades Comprehensive Plan, RESTORE Act, National Resource Damage Assessment (NRDA) and National Fish and Wildlife Foundation (NFWF). In my current role, I serve as a Monitoring and Adaptive Management Program technical lead for multiple projects and programs and as a Gulf Science Liasion providing coordination and oversight to Gulf science activities in support of complex, large scale watershed and ecosystem restoration in the Gulf of Mexico region.
Science and Products
In 2009, the Mississippi Coastal Improvements Program (MsCIP) was developed by the U.S. Army Corps of Engineers (USACE), Mobile District in conjunction with other Federal and State agencies, to help reduce future storm damage along the Mississippi Gulf Coast. The Comprehensive Plan for MsCIP includes restoring the Mississippi barrier islands and over 3,000 acres of wetland and coastal forest...
This project is a collaborative effort between the USGS, U.S. Army Corps of Engineers (USACE), and the State of Alabama funded by National Fish and Wildlife Foundation (NFWF) to investigate viable, sustainable restoration options that protect and restore the natural resources of Dauphin Island, Alabama. The project is focused on restoration options that protect and restore habitat and living...
State and Federal agencies are working together to assess the damage caused by the Deepwater Horizon oil spill and to determine appropriate restoration actions to restore natural resources, ecological services, and recreational services injured or lost due to the incident.
Structured Decision-Making to Facilitate Multi-Stakeholder Coastal Conservation and Restoration under Climate Change Uncertainties: Case Study on Barrier Island of the Northern Gulf of Mexico
Barrier island resource managers within the northern Gulf of Mexico have the opportunity to more directly incorporate scientific uncertainties and technological challenges inherent with large-scale barrier island restoration projects, and as such, commit to developing robust long-term monitoring programs and applying adaptive management.
Mississippi Coastal Improvements Program (MsCIP) - Adaptive Management and Monitoring Planning and Implementation
The Mississippi barrier islands are dynamic coastal landforms that are the first line of defense between the Gulf of Mexico and the Mississippi mainland coast. These islands are experiencing changes in structure (land area and habitat) and geomorphic processes (erosion and accretion) due to frequent intense storms, relative rise in sea level, and changes in sediment supply. A long-term...
Dauphin Island, Alabama, is the only barrier island providing protection to much of Alabama's coastal natural resources. Severely impacted by repeated extreme events, like Hurricane Katrina and Deepwater Horizon oil spill, USGS and partners are conducting a joint study to evaluate the feasibility of certain alternatives to increase resiliency and sustainability of the island.
Louisiana Coastal Area (LCA) Ecosystem Restoration Program – Adaptive Management and Monitoring Planning and Implementation Support
Adaptive management (AM) is an iterative science-based process that accepts uncertainties in ecological systems and uses best available science and technology such as research, modeling, experimentation, monitoring and evaluation to address uncertainties.
Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico
Coastal ecosystem management typically relies on subjective interpretation of scientific understanding, with limited methods for explicitly incorporating process knowledge into decisions that must meet multiple, potentially competing stakeholder objectives. Conversely, the scientific community lacks methods for identifying which advancements in...Dalyander, P. Soupy; Meyers, Michelle B.; Mattsson, Brady; Steyer, Gregory; Godsey, Elizabeth; McDonald, Justin; Byrnes, Mark R.; Ford, Mark