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Prioritising search effort to locate previously unknown populations of endangered marine reptiles

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posted on 2023-05-20, 21:36 authored by Udyawer, V, Somaweera, R, Nitschke, C, d'Anastasi, B, Sanders, K, Webber, BL, Hourston, M, Michelle HeupelMichelle Heupel

Strategies aimed to conserve and manage rare species are often hindered by the lack of data needed for their effective design. Incomplete and inaccurate data on habitat associations and current species distributions pose a barrier to effective conservation and management for several species of endemic sea snakes in Western Australia that are thought to be in decline. Here we used a correlative modelling approach to understand habitat associations and identify suitable habitats for five of these species (Aipysurus apraefrontalis, A. foliosquama, A. fuscus, A. l. pooleorum and A. tenuis). We modelled species-specific habitat suitability across 804,244 km2 of coastal waters along the North-west Shelf of Western Australia, to prioritise future survey regions to locate unknown populations of these rare species. Model projections were also used to quantify the effectiveness of current spatial management strategies (Marine Protected Areas) in conserving important habitats for these species. Species-specific models matched well with the records on which they were trained, and identified additional regions of suitability without records. Subsequent field validation of the model projections uncovered a previously unknown locality for A. fuscus within the mid-shelf shoal region, outside its currently recognised global range. Defining accurate geographic distributions for rare species is a vital first step in defining more robust extent of species occurrence and range overlap with threatening processes.

History

Publication title

Global Ecology and Conservation

Volume

22

Article number

e01013

Number

e01013

Pagination

1-13

ISSN

2351-9894

Department/School

Integrated Marine Observing System

Publisher

Elsevier Science Bv

Place of publication

Netherlands

Rights statement

© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (http://creativecommons.org/licenses/by/4. 0/).

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the biological sciences

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