https://doi.org/10.82144/fc8ce8af https://seamap.env.duke.edu/dataset/545 zd_545 Bryan Wallace State of the World's Sea Turtles Primary contact bryan.wallace@duke.edu OBIS-SEAMAP Marine Geospatial Ecology Lab, Duke University

A328 LSRC building Durham NC 27708 US

seamap-contact@duke.edu https://seamap.env.duke.edu OBIS-SEAMAP Marine Geospatial Ecology Lab, Duke University

A328 LSRC building Durham NC 27708 US

seamap-contact@duke.edu https://seamap.env.duke.edu distributor Bryan Wallace State of the World's Sea Turtles Primary contact bryan.wallace@duke.edu owner 2025-09-29 eng Original provider: The State of the World's Sea Turtles Team Dataset credits: The State of the World's Sea Turtles Team Oceanic Society IUCN Marine Turtle Specialist Group Wider Caribbean Sea Turtle Conservation Network Marine Geospatial Ecology Lab, Duke University Abstract: SWOT - the State of the World's Sea Turtles - is a partnership led by Marine Flagship Species Program at the Oceanic Society and the IUCN Marine Turtle Specialist Group (MTSG), and supported by the OBIS-SEAMAP project at the Marine Geospatial Ecology Lab (MGEL), Duke University. This online database and mapping application is built with sea turtle nesting and telemetry data contributed to SWOT since 2004 and also incorporates earlier efforts that produced the WIDECAST nesting database. Since 2012, the data collection and database management are conducted by the OBIS-SEAMAP team at the Marine Geospatial Ecology Lab, Duke University. Currently, SWOT collects data from a network of more than 550 people and projects (SWOT team) for the only comprehensive, global database of sea turtle nesting sites and satellite telemetry data. The SWOT team has provided global nesting locations and satellite telemetry data of all seven marine turtle species: green, leatherback, loggerhead, hawksbill, flatback, olive ridley, and Kemp's ridley. These data have been highlighted here and in annual SWOT reports, available freely in print and online. Furthermore, SWOT supports recommendations for monitoring effort schemes (minimum data standards or MDS) that will allow for comparison of long-term nesting abundance and trend estimates for regional and global populations of sea turtle species. All data contributed to SWOT must include MDS level information to facilitate a standardized global monitoring system for sea turtles. In addition to collating sea turtle nesting and telemetry data, SWOT provides other geospatial sea turtle data, including species regional management units, georeferenced sea turtle mtDNA and nDNA sampling sites, and a nesting habitat suitability layer. These files can be viewed and downloaded for analyses from the SWOT mapping application (http://seamap.env.duke.edu/swot) once the OBIS-SEAMAP Terms of Use are agreed upon. Observation GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml Marine Biology Land-based Habitats sea turtles nesting beaches N/A [2023-04-07] Latest nesting data were appended. [2022-09-06] Hawksbill's nesting data prepared for SWOT Report vol XVII (2022) were appended. [2021-12-04] Nesting data in Mexico (Atlantic) in 2018-21 were appended. [2021-12-03] Nesting data in Greece in 2019-21 were appended. [2016-04-28] Nesting data in 2014 were appended from the SWOT database. [2015-04-23] Metadata edited. [2014-04-02] Nesting data in 2013 were appended from the SWOT database. [2013-01-30] Nesting data on the map were updated from the SWOT database. [2013-06-11] Nesting data were updated from the SWOT database; shapefiles, csv, wfs, wms, and kml files were uploaded to the website 6/20/2013 Please note: this dataset does not reflect the most up-to-date version of the SWOT database. Please see the interactive SWOT map for the latest updates and information <a href='/swot'>here</a>. Sea turtle nesting activity in the SWOT database were originally reported in several count formats (i.e., females, nests, crawls) to ease reporting effort for individual data providers. When possible, exact counts of nesting females, clutches, or crawls are reported. However, binned values were reported given for some sites where no exact estimates were available. Region- and species-specific conversion factors are used to convert among count types for display purposes only. This ensures that no nesting sites are dropped from the display when viewing the data using different types of counts. The converted values themselves are never displayed, and users should refer to the individual data records to view the original counts reported. When all species are displayed, colony size is used to color the points with the color white representing unquantified sites. The most recent record for the species nesting in the greatest abundance at that site is used to determine the color. Nesting sites containing multiple species are represented with a circle. The access to this work requires permission. https://seamap.env.duke.edu/dataset/545 Western Pacific sector, Global 0.621807 180 43.2675 -29.4811 Eastern Pacific sector, Global -180 -0.055822999999975 43.2675 -29.4811 1930-01-01 2022-01-01 Scientific names are based on the Integrated Taxonomic Information System (ITIS). species Caretta caretta Loggerhead sea turtle species Chelonia mydas Green sea turtle species Dermochelys coriacea Leatherback sea turtle species Eretmochelys imbricata Hawksbill sea turtle species Lepidochelys kempii Kemp's ridley species Lepidochelys olivacea Olive ridley species Natator depressus Flatback sea turtle In recent years, SWOT has developed a strategy and been working toward the long-term science goal of making SWOT the premiere global monitoring system for sea turtle populations and species. To do this, we have developed minimum standards for nesting beach data contributed to SWOT that: 1) allow comparison across sites with different levels of monitoring effort, and 2) allow for estimation of population abundances and long-term population trends. SWOT brought together some of the sea turtle community's top leaders in data collection and statistical techniques, and developed a one-of-a-kind statistical modeling program that estimates real numbers of nesting turtles from incomplete data sets. The results and products-including a user-friendly handbook and modeling software-are available here. We look forward to the input from the SWOT Team as products are tested and put to use. In addition to SWOT's scientific goals for nesting beach monitoring, SWOT is expanding its database through the Global Sea Turtle Tracking Initiative to identify important areas for sea turtles throughout the world's oceans by aggregating available satellite telemetry data into a single, common database. We are collating satellite tracking data from all species and geographies to identify "Important Turtle Areas" at regional and global scales to guide spatial management of threats to sea turtles. This system will augment the global nesting database to provide the most comprehensive perspective of sea turtle biogeography available, and will allow user-driven updates and improvements to maintain currency. asNeeded Bryan Wallace State of the World's Sea Turtles Primary contact bryan.wallace@duke.edu NA NA NA Bryan Wallace owner NA 2025-09-29T11:47:57-04:00 dataset Wallace, B. 2016. State of the World's Sea Turtles, The. Version 1.9.0. Dataset published in OBIS-SEAMAP. https://doi.org/10.82144/fc8ce8af. Kot, C.Y., E. Fujioka, A. DiMatteo, A. Bandimere, B. Wallace, B. Hutchinson, J. Cleary, P. Halpin and R. Mast. 2023. The State of the World's Sea Turtles Online Database: Data provided by the SWOT Team and hosted on OBIS-SEAMAP. Oceanic Society, IUCN Marine Turtle Specialist Group (MTSG), and Marine Geospatial Ecology Lab, Duke Universityhttp://seamap.env.duke.edu/swot. OBIS-SEAMAP Dataset Page UTF-8 Interactive map https://seamap.env.duke.edu/dataset/545 FGDC Metadata UTF-8 XML https://seamap.env.duke.edu/dataset/545/fgdc EML Metadata UTF-8 XML https://seamap.env.duke.edu/dataset/545/eml OBIS-SEAMAP zd_545 zd_545