Document of dataset 8514

Dataset record

Type
DataService
title in English
Density of Loggerhead Turtles in the Mediterranean Sea
Description in English

In 2020, a spatial density model estimating loggerhead density, abundance, and distribution across the Mediterranean Sea was generated as a long-term annual average. The model was adjusted for availability bias using dive data from loggerhead turtles tagged with time depth recorders from multiple regions within the Mediterranean Sea. Geographic extrapolation in areas near surveys was undertaken with caution. Mean abundance for the long-term average model was estimated as 1,201,845 (CV 0.22). This estimate represents the first basin-wide estimate of abundance for this species in the Mediterranean not based on demographic models. This work was funded by the U.S. Navy to assist with assessing risk to protected marine species resulting from military readiness activities.

The data are an annual estimated density of loggerhead turtles, expressed as the number of individuals per square kilometer, within the Mediterranean Sea. The study area was gridded into 5x5 kilometer blocks, the resolution at which density modeling was performed. The study area encompasses all major subregions of the Mediterranean Sea, except the Sea of Marmara, which loggerhead turtles do not frequent. The DENSITY attribute contains the estimated density (individuals per square kilometer) and the UNCERTAINTY attribute contains the estimated coefficient of variation (CV) for the density estimate. The density estimates represent the mean throughout year, averaged for the period 2003-2018. For most of the study area, density was estimated using a habitat-based density model that correlated local abundance observed on systematic line transect surveys with environmental conditions observed at that same location and time. For unsurveyed areas and times, density was estimated by extrapolation. Density was not estimated for nearshore locations and inshore waters as they were often not covered by surveys or lacked reliable remoted sensed covariate coverage. See Sparks and DiMatteo (2020) for more information about the modeling process. The metadata documentation has more information regarding individual attributes.

The shoreline and other geographic features were delinated by NAVFAC from a database provided by the National Geospatial-Intelligence Agency (NGA).

Abstract in English

Loggerhead turtles (Caretta caretta) are a globally vulnerable species of marine turtle. The Mediterranean Sea subpopulation, which ranges throughout the entire Mediterranean basin, is listed as least concern by the International Union for the Conservation of Nature (IUCN), but experiences significant threats in the region including bycatch in fisheries, climate change, coastal development, and marine pollution. Broad-scale patterns of distribution and abundance can provide regional managers a tool to effectively conserve and manage this species at basin and sub-basin scales.

Rights
Unrestricted
bibliographicCitation
Sparks, Laura M. DiMatteo, Andrew D (2020). Density of Loggerhead Turtles in the Mediterranean Sea

Temporal coverage

Temporal
Start date
2003-01-01
End date
2018-12-31

Geographical coverage

Spatial
MED

Thesaurus terms

Keyword
Abundance
Bio-geographical regions
Biota
Data not evaluated
Density (population)
ETRS89/LAEA (EPSG:3035)
Geoscientific Information
Metadata not evaluated
NetCDF (Network Common Data Form)
No limitations to public access
Oceans
Regional
Sea regions

Themes

theme
Biology > Reptiles

Taxonomic terms

Taxon keywords
Caretta caretta (Linnaeus, 1758)

Ownerships

creator
Laura Sparks
creator
Naval Undersea Warfare
creator
Andrew DiMatteo
creator
Naval Undersea Warfare
contactPoint
Laura Sparks
contactPoint
Naval Undersea Warfare
contactPoint
Andrew DiMatteo
contactPoint
Naval Undersea Warfare

Publication references

related reference
Based on this dataset /id/publication/390912
Based on this dataset /id/publication/390911

Special collections

part of special collection
EMODNET

Document metadata

date created
2024-03-11
date modified
2024-09-26