Habitat mapping and suitability modeling for protected species
PIs: Matt Ware (UNCW), Joe Long (UNCW), Stephanie Kamel (UNCW)
North Carolina is situated at a unique and significant confluence of physical and anthropogenic factors relevant to several species of conservation concern, including sea turtles, shorebirds, terrapins, and marine mammals. The barrier islands, Intracoastal Waterway, sounds, bays, estuaries, and other coastal habitats provide a range of ecosystem services including storm and flood protection for upland developments; commercial harvesting; recreation (e.g., fishing, boating, beaches); nutrient cycling; water filtration; and habitat for foraging, breeding, and other biological functions for a myriad of coastal species. Identifying the current distribution of available habitats, the suitability of this habitat to provide ecosystem services, and how this may change in the future under climate change, sea level rise, hurricanes, dredging, and/or coastal development scenarios is critical for conservation management and urban planning.
Masonboro Island is of particular interest as it is the largest remaining undeveloped barrier island in southeast North Carolina. As one of the four National Estuarine Research Reserve sites in North Carolina, Masonboro is home to ocean-facing beaches, Spartina salt marshes, tidal creeks, and a string of dredge spoil islands which separate the NERR from the Intracoastal Waterway. Throughout the year, these habitats host loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles, diamondback terrapins (Malaclemys terrapin), American oystercatchers (Haematopus palliates), Wilson’s (Charadrius wilsonia) and piping (C. melodus) plovers, least terns (Sterna antillarum), and several mammals including red fox (Vulpes vulpes), coyotes (Canis latrans), and raccoons (Procyon lotor). That’s not including the extensive human use of the island for recreation and commercial purposes given it’s close proximity to the city of Wilmington!
Balancing the continued human reliance on the island with its ecological health requires an understanding of the current distribution of habitats, species, and physical variables throughout the site, as well as how these may change under different future scenarios. This project therefore seeks to answer:
- What is the current habitat/land cover distribution on Masonboro Island?
- How are species of conservation concern currently distributed on the island in both space and time?
- What relationships do these species distributions have with available habitat classifications and other physical environmental variables (e.g., elevation, temperature, moisture, distance to the water table/shoreline/upland vegetation, sediment grain size)?
- How do these relationships impact productivity (e.g., clutch size, hatching success) and offspring fitness (e.g., size, time to fledging) for protected species?
- How have these distributions and relationships changed through time in response to hurricanes, anthropogenic management, or other factors?
- Under various future scenarios (e.g., hurricane exposure, sea level rise, increasing atmospheric temperatures, dredge spoil deposition), will Masonboro Island continue to provide sufficient habitat suitable to sustain protected species?
Collecting data to address these questions involves a truly integrative, interdisciplinary approach. Quarterly drone flights (AKA UAS: unmanned aerial system or UAV: unmanned aerial vehicle) provide very-high resolution (~3cm ground sampling distance) imagery to generate orthomosaics for deep learning-based habitat classification and 3D elevation point clouds based on structure-from-motion algorithms. Though starting with 3-band RGB imagery, aerial sensors will ultimately include near-infrared bands, thermal bands, and LiDAR. This aerial data is paired with in situ monitoring efforts such as daily nesting surveys, RTK GPS surveys, instrumentation deployment (e.g., weather stations, water level sensors, temperature loggers), and sediment sampling conducted by the NCNERR staff and UNCW personnel. Given this breadth of data, statistical models addressing the relationships between the habitat, physical environmental, and species distribution and productivity can be evaluated and, assuming such relationships hold in the future, changes to species use of the island can be investigated by altering the input habitat or environmental variables based on the best available projections.
Stay tuned for publications and other virtual materials related to this work!
Wave exposure and inundation of sea turtle nesting beaches
PIs: Matt Ware (UNCW/FSU), Mariana Fuentes (FSU), Joe Long (UNCW), Simona Ceriani (FL FWC), Janice Becker (FL DEP/FSU)
Inundation and nest erosion from wave exposure, storm surge, and sea level rise are major threats to sea turtle nests – causing mortality as well as potential changes in hatchling size, morphology, locomotor function, and sex. Female turtles use several environmental cues when deciding where to nest such as beach slope, tide height, and distance from the water to reduce the chances of wave exposure. However, waves are still a common problem and increasing storm intensity and coastal development only exacerbate the issue. Identifying where and under what conditions wave exposure becomes a problem, and deciding what action to take (if any), is a common issue for sea turtle managers. For example, before we can consider any management action or intervention ranging from beach preservation to nest relocation, we need to know:
- At what frequency or duration of exposure does wave wash-over cause significant harm to developing turtles?
- Do these exposure thresholds vary with the developmental stage of the embryo?
- How does this tolerance (or lack thereof) vary across species and populations?
- What are the benefits of non-lethal levels of wave exposure, including reduced incubation temperatures, increased male hatchling production, large body sizes, and/or faster crawling speeds?
- Would relocating nests introduce other threats which may cause as much (or greater) impact than wave exposure in their current location, such as hyperthermia, increased female hatchling production in a female-dominant population, desiccation, and increased predation or orientation?
- How is wave exposure likely to change in the near future due to coastal development, armoring, beach erosion, hurricane frequency and strength, and sea level rise?
- How may sea turtles naturally adjust their nesting behaviors to combat these changing beach conditions?
To help inform conservation initiatives to combat this threat, we can use beach elevation data, nest location and productivity data, and wave runup modeling to:
- Identify the reduction in loggerhead sea turtle hatchling production caused by wave exposure,
- Map out which beaches represent priority areas for conservation initiatives, and
- Investigate the efficacy and consequences of various management actions for the individual clutch, broader population, and coastal ecology
Following these modeling exercises, we can collect in situ information such as the frequency of wave exposure, its duration, hatchling production, and other data to close the information gaps and better inform management decisions. For example, St George Island was identified as a priority area for wave exposure impacts based on wave runup mapping in the Florida Panhandle. In 2021, we monitored wave exposure and inundation across the nesting beach throughout the nesting season to begin describing embryonic tolerance to these threats following the blueprint laid out by previous work on the Fort Morgan Peninsula of Alabama from 2016-2018.
This previous work concentrated on wave exposure, inundation, and the role of nest relocation in mitigating this threat. Though moving “at risk” nests may be a common sense approach to dealing with inundation, relocation can 1) result in the loss of developing embryos through the disruption of embryonic membranes, 2) increase the production of female hatchlings by changing the eggs’ incubating environment, and/or 3) increase predation from coyotes, foxes, raccoons, birds and other predators by moving the nest closer to their preferred hunting habitat and increasing the distance hatchlings must crawl to the water. There may also be sublethal effects such as reduced muscular development as a result of the altered incubation environment. Nest relocation on the beach or into a hatchery, beach renourishment, Leave No Trace ordinances, refugia protection, and other management actions all need to be investigated in order to determine under what circumstances each may be effective.
Publications in this project and related literature:
- Ware et al. (2021) Exposure of loggerhead sea turtle nests to waves in the Florida Panhandle. Remote Sensing 13(14): 2654.
- Ware et al. (2019) Using wave runup modeling to inform coastal species management: An example application for sea turtle nest relocation. Ocean and Coastal Management 173: 17-25. DOI: 10.1016/j.ocecoaman.2019.02.011.
- Fuentes MMPB et al. (2019) Exposure of marine turtle nesting beaches to named storms along the continental USA. Remote Sensing 11(24): 2996.
- Ware M, Fuentes MMPB (2018) Potential for relocation to alter the incubation environment and productivity of sea turtle nests in the northern Gulf of Mexico. Chelonian Conservation and Biology 17(2): 252-262.
- Ware M, Fuentes MMPB (2018) A comparison of methods used to monitor groundwater inundation of sea turtle nests. Journal of Experimental Marine Biology and Ecology 503: 1-7.