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Seagrass habitat suitability model for Redang Marine Park using multibeam echosounder data: Testing different spatial resolutions and analysis window sizes
- Source :
- PLoS ONE, Vol 16, Iss 9, p e0257761 (2021), PLoS ONE
- Publication Year :
- 2021
-
Abstract
- Integrating Multibeam Echosounder (MBES) data (bathymetry and backscatter) and underwater video technology allows scientists to study marine habitats. However, use of such data in modeling suitable seagrass habitats in Malaysian coastal waters is still limited. This study tested multiple spatial resolutions (1 and 50 m) and analysis window sizes (3 × 3, 9 × 9, and 21 × 21 cells) probably suitable for seagrass-habitat relationships in Redang Marine Park, Terengganu, Malaysia. A maximum entropy algorithm was applied, using 12 bathymetric and backscatter predictors to develop a total of 6 seagrass habitat suitability models. The results indicated that both fine and coarse spatial resolution datasets could produce models with high accuracy (>90%). However, the models derived from the coarser resolution dataset displayed inconsistent habitat suitability maps for different analysis window sizes. In contrast, habitat models derived from the fine resolution dataset exhibited similar habitat distribution patterns for three different analysis window sizes. Bathymetry was found to be the most influential predictor in all the models. The backscatter predictors, such as angular range analysis inversion parameters (characterization and grain size), gray-level co-occurrence texture predictors, and backscatter intensity levels, were more important for coarse resolution models. Areas of highest habitat suitability for seagrass were predicted to be in shallower (
- Subjects :
- Topography
Aquatic Organisms
Entropy
Mathematical and Statistical Techniques
Bathymetry
Islands
Sedimentary Geology
Marine Ecosystems
Multidisciplinary
Ecology
biology
Physics
Statistics
Geology
Habitats
Seagrass
Habitat
Physical Sciences
Thermodynamics
Medicine
Algorithms
Research Article
Conservation of Natural Resources
Backscatter
Science
Fringing reef
Research and Analysis Methods
Models, Biological
Ecosystems
Magnoliopsida
Echo sounding
Marine ecosystem
Statistical Methods
Ecosystem
Petrology
Remote sensing
Landforms
Spatial Analysis
Ecology and Environmental Sciences
Marine habitats
Malaysia
Biology and Life Sciences
Geomorphology
Acoustics
biology.organism_classification
Earth Sciences
Environmental science
Sediment
Mathematics
Forecasting
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....38d3ad5274ca426e622ef432ff664bef