Understanding the effects of climate change on Caribbean hawksbill turtles: satellite tracking hawksbill migrations

Data provider
WWF
Originating data center
Satellite Tracking and Analysis Tool (STAT)
Project partner
This project is a collaborative partnership between:

1. The World Wildlife Fund
The LAC (Latin America and Caribbean) works to achieve an action based approach to the regional conservation challenge of marine turtle conservation. They have collaborated with the WWF Ottawa (Canada) office to orchestrate the deployment of satellite transmitters on Caribbean hawksbill turtles. Based in the Costa Rica office, the staff there will collaborate with:

2. The Marine Turtle Research Group (University of Exeter)
The MTRG has dedicated specialists in many aspects of marine turtle ecology and have a demonstrated success in successful deployment of satellite transmitters on a variety of marine turtle species. In collaboration with the University of Valencia, Spain, Dr Jesus Tomas will represent the MTRG.

3. Grupo Jaragua project, Dominican Republic
Represented and staffed by Dr Jesus Tomas and Dr Yolanda Leon, Grupo Jaragua will provide the local expertise and logistical support for the deployment of the units. Grupo Jaragua has been monitoring nesting by hawksbill and leatherback turtles on the beaches of the DR for many years.

4. The ACT initiative
Funded by the MacArthur Foundation, and formed in December 2007, the ACT initiative is trying to help understand the effects of climate change to marine turtle populations. By highlighting current knowledge and information gaps, ACT hopes to be able to design ways to mitigate the negative effects of climate change to turtles and to help to incorporate them into coastal planning.

5. INTEC and UASD
Project sponsor or sponsor description
This project is funded by the J M Kaplan Fund, the Spanish Ministry of Education and Sciences.
Support was also provided by the AECI (Araucaria programme Spanish Cooperation Agency, Ministry of Foreign Affairs) and the Foundation of the University of Valencia (UV).

The ecological decisions that influence hawksbill turtle migration are little understood and have not been investigated. Understanding the environmental and biological parameters that guide hawksbill migration (environmental features such as thermal fronts, sea surface currents and ocean depth) is key to understanding how hawksbill turtle populations may be able to cope with the adverse affects of climate change in the future. The only means by which this information currently can be obtained for migrating turtles at large is through satellite telemetry. Using ARGOS linked satellite transmitting units, an individual can be deployed and its locations tracked, environmental variables of its habitat obtained and a greater understanding of hawksbill migratory ecology gained. This information will then be used in conjunction with available information from other tracking studies to quantify the environmental “envelope†that Caribbean hawksbill turtles generally occupy. Future predicted changes in surface temperatures and currents can then be modeled more accurately and realistically

To date, no units have been deployed from the Dominican Republic, an island nation that receives a significant number of leatherback nests as well as hawksbill nests. The Dominican Republic is ideally situated to investigate the environmental parameters that may influence hawksbill migration: relatively central to the insular Caribbean, the Dominican Republic is surrounded by important Caribbean oceanographic features which may be important factors in determining the migratory paths.

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Overview

Attributes described below represent those in the original dataset provided by the provider.
Only minimum required attributes are visible and downloadable online. Other attributes may be obtained upon provider's permission.

Attributes in dataset

Attribute (table column)	Description
prognum	Program number
tag_id	PTT ID
lc	Location class
iq	Quality indicator
dir1	Dir 1
nb_mes	Number of messages received
big_nb_mes	definition not provided
best_level	Best signal strength in dB
pass_duration	Pass duration in seconds
nopc	Number Of Plausibility Checks successful (from 0-4)
calcul_freq	Calculated frequency
altitude	Altitude used for location calculation
sensors	Sensors
species	Species name
project_id	STAT Project ID
lc_filter	Parameters to location filtering
speed_filter	Parameters to speed filtering
distance_filter	Parameters to distance filtering
topo_filter	Parameters to topo filtering
time_filter	Parameters to time filtering
angle_filter	Parameters to angle filtering
life_stage	Life stage of the animal
gender	Gender of the animal
wetdry	Wet or dry
wetdry_filter	Parameters to Wet or dry filterint
obs_datetime	Date and time (local time zone)
timezone_h	Time difference from UTC