Dataset
OBIS-SEAMAP Open in mapper Explore occurrences
Original provider: SEAMARC / Four Seasons Resorts Maldives Dataset credits: Data provider LGSTRC Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner Four Seasons Resort Maldives at Landaa Giraavaru, Baa Atoll, Maldives Project sponsor or sponsor description Four Seasons Resort at Landaa Giraavaru, Baa Atoll, Maldives Abstract: The Maldivian Sea Turtle Conservation Program (MSTCP) was started in 2011 by our small team of Seamarc marine biologists at the Four Seasons resorts, Maldives. Our preliminary objective is to produce an estimated inventory of sea turtles using a photo identification monitoring method. This will allow us to better understand turtle population and migration patterns. A major threat these creatures are facing in the country is turtle and egg poaching. For this reason, one aspect of the MSTCP consists of protecting turtle nesting sites and rearing a few individuals per clutch in order to increase their survival rate.Off shore, Olive Ridley Sea Turtles are particularly exposed to Ghost Nets. Another aspect of the MSTCP is to rescue and rehabilitate injured Olive Ridley Sea Turtles and track them after release to study both the success of rehabilitation and the global distribution of the species in the Indian Ocean. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
Citation: Fisher J. 2025. Maldivian Sea Turtle Conservation Program- LG. 1.0.0. Dataset published in OBIS-SEAMAP and originated from Satellite Tracking and Analysis Tool (STAT; http://www.seaturtle.org/tracking/index.shtml?project_id=750). https://doi.org/10.82144/37116828.
Published: October 08, 2025 at 00:30
URL: http://ipt.env.duke.edu/resource?r=zd_850_1deg
Jamie Fisher
LGSTRC
OBIS-SEAMAP
Marine Geospatial Ecology Lab, Duke University
Satellite Tracking and Analysis Tool
seaturtle.org
| Field | Missing | Invalid | |
|---|---|---|---|
| maximumDepthInMeters | 138 |
|
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| minimumDepthInMeters | 138 |
|
The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.
| Flag | Dropped | Records | |
|---|---|---|---|
| NO_DEPTH | 138 |
|