This dataset includes processed satellite tracking data collected from green turtles between July 2002 and October 2020 in the Gulf of Mexico. Tracks were located along the west coast of Florida from the Florida Keys to the Gulf Islands National Seashore. Output from the state-space model (SSM) described in Lamont et al. (2023) is included, as are inter-nesting and foraging centroids calculated using kernel density estimates and minimum convex polygons.

This dataset includes details of loggerhead and green turtles captured and satellite tagged between 2009 and 2021; the turtles presented here have tracking days within Biscayne National Park. A subset of turtles was captured within Biscayne National Park, whereas others were tracked to the study site, and tagged elsewhere. The dataset contains information related to satellite tracking (e.g., tracking period), biology (e.g., sex, species), and animal behavioral mode determined from a switching state-space model (SSM). The SSM had a time step of 24 h (1 point per day), accounted for location error, and estimated movement parameters jointly across individuals to enhance behavioral mode estimation. Each SSM location was categorized into a behavioral mode based on the behavioral state estimation produced by the SSM, either: “area-restricted searching" behavior ("foraging") or “transiting” behavior ("migration").

This dataset contains tracking durations for several species of sea turtles tagged with satellite tags between 2008 and 2019. It contains information on species, turtle size, capture methods, tag type, how many days each tag transmitted, whether or not the tag was still attached upon recapture, fouling 'status' of the tag, and foraging region. This dataset thus allows estimation of tracking durations for four species of marine turtles tagged in different study sites in the Gulf of Mexico and Caribbean.

This dataset contains all input parameters required to perform integrated step selection analysis (iSSA) to quantify marine turtle habitat selection relative to marine protected areas throughout coastal Florida and the Gulf of Mexico. The iSSA is a flexible approach to compare the environmental attributes of observed steps (the linear segment connecting two consecutive observed positions of an animal) against a group of alternative steps taken from the same starting location. Information contained in the dataset includes original PIT (passively induced transponder, a unique identifier for each turtle), step ID, step length and log of the step length, turning angle and cosine of turning angle, start and end date time of each step, protected status of location of each step ID (unprotected, multi-use or no-take, water depth (in meters), and chlorophyll concentration (in mg/m3).

Major aggregations of nesting green turtles (Chelonia mydas) occur in the northern Red Sea, although little is known about the reproductive ecology of this endangered species in the region. To address this issue, we satellite-tracked 30 female green turtles to document their movements and to identify factors driving habitat use at two major rookeries in the Red Sea, Jazirat Mashabah (Mashabah Island) and Ras Al Baridi in Saudi Arabia. Between successive nesting events, turtles displayed high fidelity to nesting beaches and adjacent in-water habitats (inter-nesting habitats). Using generalized linear mixed models, we estimated the mean probability of nesting per beach emergence (nesting success rate) to be 0.628, and the mean duration between a successful nesting event and the successive emergence onto the beach (re-nesting interval) to be 10.8 days at each site. The nesting success rate was relatively high (>0.8) when the preceding daytime land surface temperature (LST) was lower than 37°C but decreased with elevated daytime LST (47°C). Re-nesting interval was longer at lower water temperatures and towards the end of the nesting season of individuals. Our study improves the robustness of abundance estimates from census data (e.g., track counts) and shows that the protection of nesting and inter-nesting habitats during a breeding season would be an effective conservation strategy for the species. We discuss how global warming could increase energy expenditure due to lowered nesting success, ultimately compromising the reproductive fitness of these populations.

This data set contains satellite telemetry data for sea turtles. Movements, migratory pathways, and foraging behavior of sea turtles were tracked and surfacing intervals were documented.

This dataset consists of the home ranges and satellite tracks taken from eleven dugongs and ten green turtles. Methods: Fast-acquisition satellite telemetry was used to track eleven dugongs and ten green turtles at two geographically distinct foraging locations in Queensland, Australia to evaluate the inter- and intra-species spatial relationships and assess the efficacy of existing protection zones. Home-range analysis and bathymetric modeling were used to determine spatial use and compared with existing protection areas using GIS. Raw, unfiltered tracking data were collected using fast acquisition GPS satellite transmitters attached to six dugongs (three females and three males) and four adult female green sea turtles near Mabuiag Island, Torres Strait, Australia in July 2009 and September 2010, and five dugongs (four females and one male) and six female green sea turtles (five adults and one prepubescent) in Shoalwater Bay, Australia in June/July 2012. The dugongs were captured using the dermal hold fast technique in Torres Strait and the standard rodeo technique in Shoalwater Bay. At both locations, the dugongs were fitted with Telonics Gen 4 GPS/ARGOS marine units attached to a 3 m tether linked to a padded tailstock harness. The green turtles were captured using the standard rodeo technique, brought to Mabuiag Island (Torres Strait) or MacDonald Point (Shoalwater Bay), and fitted with one of four types of satellite transmitters (Sirtrack F4G 291A, Wildlife Computers SPLASH10 BF-273A and Splash10 BF-273C, or SMRU SRDL 9000x). Each transmitter was attached to the carapace using the methods described in Shimada et al. (2012). Each turtle was released from shore the day after capture. Dugong units were programmed to collect a GPS position hourly; turtle units every 30 minutes. All units were programmed with a five minute repeat in case a signal was not received when the animal surfaced. Home-ranges were calculated for each animal using data from the entire period in which they were tracked and were calculated using fixed kernel density estimation with bandwidths selected by likelihood cross-validation (CVh). Kernel densities and bandwidths were calculated using the Geospatial Modelling Environment (GME), an extension to ArcGIS, with a resolution of 50 m. For a more detailed description of the methods see Gredzens(2014). Format: This dataset consists of shapefiles for the satellite tracks (lines and points) for the 21 animals as well as shapefiles for the calculated home ranges. References: Gredzens C, Marsh H, Fuentes MMPB, Limpus CJ, Shimada T, et al. (2014) Satellite Tracking of Sympatric Marine Megafauna Can Inform the Biological Basis for Species Co-Management. PLoS ONE 9(6): e98944. doi:10.1371/journal.pone.0098944 Data Location: This dataset is filed in the eAtlas enduring data repository at: data\NERP-TE\1.2_GBR-Turtles-dugong-monitoing Change log: 2024-05-29 - Added interactive map of the resource link to Layer id: ea_nerp:TS_QLD_NERP-1-2-2-1_JCU_Turtle-dugong-tracking_2009-2012

Sea turtles captured in various fishing gear (pound nets, long haul seines, gill nets) were outfitted with satellite transmitters so that their movements, migratory pathways and foraging behavior could be tracked. Despite their greater expense, satellite transmitters enable the researcher to determine long-range movements of sea turtles in comparison to acoustic and radio transmitters which delineate fine scale movements and habitat preferences. Furthermore, satellite transmitters have the capability of measuring and recording water temperature along with dive depth and duration of each tagged sea turtle. Finally, time spent on the surface can be measured and recorded.

Sea turtles captured in various fishing gear (pound nets, long haul seines, gill nets) were outfitted with satellite transmitters so that their movements, migratory pathways and foraging behavior could be tracked. Despite their greater expense, satellite transmitters enable the researcher to determine long-range movements of sea turtles in comparison to acoustic and radio transmitters which delineate fine scale movements and habitat preferences. Furthermore, satellite transmitters have the capability of measuring and recording water temperature along with dive depth and duration of each tagged sea turtle. Finally, time spent on the surface can be measured and recorded.

This data contains one comma-delimited file with data collected from dive-logging satellite tags placed on loggerhead sea turtles in the Gulf of Mexico. Specifically, the file contains the turtle's platform transmitter terminal (PTT; satellite tag) number, the date and time (in UTC) of the dive data collected, the behavioral mode of the turtle on that date, and the dive data values. These values are identified by the column "bin_type_num" which includes the type of bin and what level, as well as "value", which includes either the number or percent of dives.