Request Data from SWOT

The sea turtle data that are housed within the SWOT database have been made publicly-available by the original data contributors and by the State of the World’s Sea Turtles Program for educational purposes and to facilitate exchange among sea turtle researchers and conservationists. Data contained in the SWOT database are protected by SWOT’s Terms of Use, which govern the use and citation of data in the database and outline the process for requesting data.

Data may be requested by anyone by completing a formal Data Request Form and submitting it via email to SWOT’s database manager at swotdata@gmail.com for review. [Note that the use of data for distributions, RMUs, mtDNA, nDNA and habitat suitability requires adherence to additional terms of use that will be shared prior to data delivery. These layers can be downloaded freely through the SWOT online database, and requests for their use can be made from within the online mapping portal.]


 
 

Examples of How the SWOT Database Has Been Used for Research & Conservation

Data from the SWOT database have been used in a variety of projects that aim to advance sea turtle research and conservation worldwide. Below are some of the products that have benefited from SWOT’s global sea turtle database.

 
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Using climatic suitability thresholds to identify past, present and Future Population viability (Almpanidou et al. 2016)

The authors used climatic niche models to generate thresholds of climatic suitability for loggerhead turtles nesting in the Mediterranean, and assessed the climatic suitability of loggerhead nesting sites in the past and future. The analysis used data on the location of loggerhead nesting sites in the Mediterranean from the SWOT database.

Citation: Almpanidou, V., Schofield, G., Kallimanis, A.S., Türkozan, O., Hays, G.C., and A.D. Mazaris. 2016. Using climatic suitability thresholds to identify past, present and future population viability. Ecological Indicators 71: 551–556.

 
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A global gap analysis of sea turtle protection coverage (Mazaris et al. 2014)

The authors evaluated the extent to which the current global network of protected areas encompasses sea turtle nesting sites to identify gaps in sea turtle protection globally and regionally. The analysis used data on the global distribution of sea turtle nesting sites from the SWOT database.

Citation: Mazaris, A.D., Almpanidou, V., Wallace, B.P., Pantis, J.D., and G. Schofield. 2014. A global gap analysis of sea turtle protection coverage. Biological Conservation 173: 17–23.

 
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Climate influences the global distribution of sea turtle nesting (Pike, d. A. 2013)

Author David Pike predicted the spatial distributions of nesting habitat under current climatic conditions for seven sea turtle species worldwide in order to understand whether climate limits current sea turtle nesting distributions and shapes the ecological niche of the terrestrial life-history stage of these wide ranging marine vertebrates. The analysis used data on nesting beach locations from SWOT and other sources, and the resulting data layer (a global index of habitat suitability) is available through the SWOT database online.

Citation: Pike, D.A. 2013. Climate influences the global distribution of sea turtle nesting. Global Ecology and Biogeography 22: 555-556.

 

Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales (Wallace et al. 2010)

This landmark publication by members of the IUCN-SSC Marine Turtle Specialist Group defined Regional Management Units (RMUs, i.e. subpopulations) of marine turtles worldwide for the first time. To delineate the RMUs, the authors collated all available information on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. The SWOT database was used to help identify and georeference nesting sites globally for all species, a fundamental component of each RMU.

Citation: Wallace, B.P., et al. 2010. Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales. PLoS ONE 5(12): e15465.