From Western Australia Government

WAMSI 2 - Kimberley Node - Project 1.2.2 - Key biological indices required to understand and manage nesting sea turtles along the Kimberley coast

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Created 13/01/2025

Updated 13/01/2025

The main components of the project were: - Determine distribution, abundance, seasonality, and the duration and peak of nesting season for Kimberley sea turtles - Collect biological information on key population parameters from key nesting beaches - Clarify stock management units and identify connectivity to foraging areas using genetic markers - Select beaches and techniques to allow long term monitoring and trend detection - Investigate critical physiological thresholds of embryos that will can be used to predict the impact of climate change on population viability - Develop systems for cross cultural transfer of knowledge (integration with other themes), participation and training - Integrate existing on ground works by community groups Data includes .xlsx, .txt. .kml and .jpeg

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Additional Info

Field Value
Title WAMSI 2 - Kimberley Node - Project 1.2.2 - Key biological indices required to understand and manage nesting sea turtles along the Kimberley coast
Language English
Licence Creative Commons Attribution Share-Alike 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/9663da06-5a72-49f2-afac-bee96b1eac3c
Remote Last Updated 25/05/2022
Contact Point
Department of Planning (Western Australia)
scott.whiting@dpaw.wa.gov.au
Reference Period 03/05/2018
Geospatial Coverage {"type": "MultiPolygon", "coordinates": [[[ [129, -20], [129, -13], [120, -13], [120, -20]]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "WAMSI 2 - Kimberley Node - Project 1.2.2 - Key biological indices required to understand and manage nesting sea turtles along the Kimberley coast". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/draft-wamsi-2-kimberley-node-project-1-2-2-key-biological-indices-required-to-understand-an_37f

No duplicate datasets found.