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Predicting the feasibility of Crown-of-Thorns control in space and time to improve coral protection on the Great Barrier Reef

delete2026-08-01
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OA
AI
M
Michael Bode *
P
Parsa Yaryab
B
Bryce Stansfield
S
Sam Matthews
R
Rickard Abom
D
David H. Williamson
O
Owen Stewart
A
Adam Downie
S
Severine Choukroun
DOI:10.1016/j.ecoinf.2026.103964delete
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Abstract

Abstract

En 中文
• Feasibility is an underused component of conservation prioritisation frameworks. • We built a spatiotemporal feasibility layer for the Great Barrier Reef using a Random Forest Model. • We can now predict whether a reef can be safely SCUBA dived with 92% precision. • Reef feasibility varies strongly by location, shelf position, and time of the year. • Data-driven feasibility layers can replace expert judgements in reef prioritisation.
Keywords:
Conservation prioritisation
Integrated pest management
Adaptive management
Decision support
AI Summary

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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Ecological Informatics cover
Ecological Informatics
IF:
7.3
Papers:
3.7K
Citations:
1.3W

Organization

Great Barrier Reef Marine Park Authority cover
Great Barrier Reef Marine Park Authority
Scholars:
8
Papers: 362
Citations: 190
R
reef and rainforest research centre
Scholars:
3
Papers: 2
Citations: 0
Australian Institute of Marine Science cover
Australian Institute of Marine Science
Scholars:
120
Papers: 38
Citations: 2.8K
J
james cook university
Scholars:
1.2K
Papers: 583
Citations: 0
Q
Queensland University of Technology
Scholars:
1.7K
Papers: 860
Citations: 2.8W
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