Mapping the Habitats of the Red Sea Plume: Merging Expert and Community‐Contributed Data in a Changing Climate

ABSTRACT The red seaweed Asparagopsis taxiformis (common name: red sea plume) is attracting global attention because of its ability to reduce methane emissions in livestock systems. However, its habitat and distribution within the Great Barrier Reef (GBR)—one of the world's most iconic marine ecosystems—remain largely unexplored, posing challenges for conservation and the sustainable development of the seaweed industry. To help bridge this gap, we used habitat suitability modelling to identify areas in the GBR with favourable environmental conditions for A. taxiformis . We combined traditional and community‐contributed data with marine spatial datasets to generate a predictive model using a machine learning approach (MaxEnt). Our findings indicate that A. taxiformis may occupy a broad habitat range along the GBR, spanning nearshore and offshore areas from the northern to southern sectors, albeit with some gaps. These potential habitats include areas with no previous records. Highly suitable habitats were found in areas with water depth of less than 20 m, minimum average seawater velocities of 0.3–0.5 m s −1 , and minimum photosynthetically active radiation levels of 25–28 E m −2 day −1 . Future projections suggest that more areas will become more suitable by 2050, possibly indicating habitat expansion. The identification of unreported potential habitats of A. taxiformis in the GBR provides a foundation for targeted monitoring and adaptive conservation and management strategies at both species and ecosystem levels.

Authors

Institutions

Publication Details

Journal
Aquatic Conservation Marine and Freshwater Ecosystems
Published
2025-11-29
DOI
https://doi.org/10.1002/aqc.70265
Primary Topic
Marine and coastal plant biology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mapping the Habitats of the Red Sea Plume: Merging Expert and Community‐Contributed Data in a Changing Climate

Robert D. Kinley, Najeen Arabelle M. Rula, Adam Smith, Christopher M. Aiken et al.
Aquatic Conservation Marine and Freshwater Ecosystems
Marine and coastal plant biology
article

Mapping the Habitats of the Red Sea Plume: Merging Expert and Community‐Contributed Data in a Changing Climate

Robert D. Kinley, Najeen Arabelle M. Rula, Adam Smith, Christopher M. Aiken, Emma L. Jackson
article en

Abstract

ABSTRACT The red seaweed Asparagopsis taxiformis (common name: red sea plume) is attracting global attention because of its ability to reduce methane emissions in livestock systems. However, its habitat and distribution within the Great Barrier Reef (GBR)—one of the world's most iconic marine ecosystems—remain largely unexplored, posing challenges for conservation and the sustainable development of the seaweed industry. To help bridge this gap, we used habitat suitability modelling to identify areas in the GBR with favourable environmental conditions for A. taxiformis . We combined traditional and community‐contributed data with marine spatial datasets to generate a predictive model using a machine learning approach (MaxEnt). Our findings indicate that A. taxiformis may occupy a broad habitat range along the GBR, spanning nearshore and offshore areas from the northern to southern sectors, albeit with some gaps. These potential habitats include areas with no previous records. Highly suitable habitats were found in areas with water depth of less than 20 m, minimum average seawater velocities of 0.3–0.5 m s −1 , and minimum photosynthetically active radiation levels of 25–28 E m −2 day −1 . Future projections suggest that more areas will become more suitable by 2050, possibly indicating habitat expansion. The identification of unreported potential habitats of A. taxiformis in the GBR provides a foundation for targeted monitoring and adaptive conservation and management strategies at both species and ecosystem levels.

Aquatic Conservation Marine and Freshwater EcosystemsVol. 35(12)
University of Tasmania (AU), Australian Antarctic Division (AU), Reef Ecologic (AU), Future Earth (CA), Central Queensland University (AU)
Australian Government, Central Queensland University
Openalex Percentile: Top 63%
Marine and coastal plant biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.