IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0257761.html
   My bibliography  Save this article

Seagrass habitat suitability model for Redang Marine Park using multibeam echosounder data: Testing different spatial resolutions and analysis window sizes

Author

Listed:
  • Muhammad Abdul Hakim Muhamad
  • Rozaimi Che Hasan
  • Najhan Md Said
  • Jillian Lean-Sim Ooi

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 (

Suggested Citation

  • Muhammad Abdul Hakim Muhamad & Rozaimi Che Hasan & Najhan Md Said & Jillian Lean-Sim Ooi, 2021. "Seagrass habitat suitability model for Redang Marine Park using multibeam echosounder data: Testing different spatial resolutions and analysis window sizes," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-26, September.
    • Handle: RePEc:plo:pone00:0257761
    DOI: 10.1371/journal.pone.0257761
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0257761
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0257761&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0257761?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Simon J Pittman & Kerry A Brown, 2011. "Multi-Scale Approach for Predicting Fish Species Distributions across Coral Reef Seascapes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-12, May.
    2. Townsend, Michael & Thrush, Simon F. & Lohrer, Andrew M. & Hewitt, Judi E. & Lundquist, Carolyn J. & Carbines, Megan & Felsing, Malene, 2014. "Overcoming the challenges of data scarcity in mapping marine ecosystem service potential," Ecosystem Services, Elsevier, vol. 8(C), pages 44-55.
    3. Rozaimi Che Hasan & Daniel Ierodiaconou & Laurie Laurenson & Alexandre Schimel, 2014. "Integrating Multibeam Backscatter Angular Response, Mosaic and Bathymetry Data for Benthic Habitat Mapping," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-14, May.
    4. Melo-Merino, Sara M. & Reyes-Bonilla, Héctor & Lira-Noriega, Andrés, 2020. "Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence," Ecological Modelling, Elsevier, vol. 415(C).
    5. Duque-Lazo, J. & van Gils, H. & Groen, T.A. & Navarro-Cerrillo, R.M., 2016. "Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia," Ecological Modelling, Elsevier, vol. 320(C), pages 62-70.
    6. Matthew P J Oreska & Karen J McGlathery & John H Porter, 2017. "Seagrass blue carbon spatial patterns at the meadow-scale," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-18, April.
    7. Ryan Hastings & Valerie Cummins & Paul Holloway, 2020. "Assessing the Impact of Physical and Anthropogenic Environmental Factors in Determining the Habitat Suitability of Seagrass Ecosystems," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    8. Coll, M. & Pennino, M. Grazia & Steenbeek, J. & Sole, J. & Bellido, J.M., 2019. "Predicting marine species distributions: Complementarity of food-web and Bayesian hierarchical modelling approaches," Ecological Modelling, Elsevier, vol. 405(C), pages 86-101.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rotllan-Puig, Xavier & Traveset, Anna, 2021. "Determining the minimal background area for species distribution models: MinBAR package," Ecological Modelling, Elsevier, vol. 439(C).
    2. Marshall, C.E. & Glegg, G.A. & Howell, K.L., 2014. "Species distribution modelling to support marine conservation planning: The next steps," Marine Policy, Elsevier, vol. 45(C), pages 330-332.
    3. Leandro, Camila & Jay-Robert, Pierre & Mériguet, Bruno & Houard, Xavier & Renner, Ian W., 2020. "Is my sdm good enough? insights from a citizen science dataset in a point process modeling framework," Ecological Modelling, Elsevier, vol. 438(C).
    4. Vincent Bian & Merrick Cai & Christopher L. Follett, 2023. "Understanding opposing predictions of Prochlorococcus in a changing climate," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Curtis Champion & James R. Lawson & Joanna Pardoe & Derrick O. Cruz & Ashley M. Fowler & Fabrice Jaine & Hayden T. Schilling & Melinda A. Coleman, 2023. "Multi-criteria analysis for rapid vulnerability assessment of marine species to climate change," Climatic Change, Springer, vol. 176(8), pages 1-20, August.
    6. Caitlin Dalla Pria & Fiona Cawkwell & Stephen Newton & Paul Holloway, 2022. "City Living: Nest-Site Selection Preferences in Urban Herring Gulls, Larus argentatus," Geographies, MDPI, vol. 2(2), pages 1-12, March.
    7. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
    8. Marianna V. P. Simões & Hanieh Saeedi & Marlon E. Cobos & Angelika Brandt, 2021. "Environmental matching reveals non-uniform range-shift patterns in benthic marine Crustacea," Climatic Change, Springer, vol. 168(3), pages 1-20, October.
    9. Addamo, Anna Maria & La Notte, Alessandra & Guillen, Jordi, 2024. "Status of mapping, assessment and valuation of marine ecosystem services in the European seas," Ecosystem Services, Elsevier, vol. 67(C).
    10. Stamatiadou, Valentini & Mazaris, Antonios & Mallios, Zisis & Katsanevakis, Stelios, 2023. "Valuation and mapping of the recreational diving ecosystem service of the Aegean Sea," Ecosystem Services, Elsevier, vol. 64(C).
    11. Hooper, Tara & Beaumont, Nicola & Griffiths, Charly & Langmead, Olivia & Somerfield, Paul J., 2017. "Assessing the sensitivity of ecosystem services to changing pressures," Ecosystem Services, Elsevier, vol. 24(C), pages 160-169.
    12. Bakshi, Baishali & Polasky, Stephen & Frelich, Lee E., 2024. "Using structural equation models (SEM) to link climate change, forest composition, deer, and outdoor recreation," Ecological Modelling, Elsevier, vol. 493(C).
    13. Geange, Shane & Townsend, Michael & Clark, Dana & Ellis, Joanne I. & Lohrer, Andrew M., 2019. "Communicating the value of marine conservation using an ecosystem service matrix approach," Ecosystem Services, Elsevier, vol. 35(C), pages 150-163.
    14. Püts, Miriam & Taylor, Marc & Núñez-Riboni, Ismael & Steenbeek, Jeroen & Stäbler, Moritz & Möllmann, Christian & Kempf, Alexander, 2020. "Insights on integrating habitat preferences in process-oriented ecological models – a case study of the southern North Sea," Ecological Modelling, Elsevier, vol. 431(C).
    15. Yanzhen Song & Yanzhao Fu & Jun Song & Jun Yang & Yahe Wang & Wei Hu & Junru Guo, 2025. "Suitability Evaluation of the Water Environment for Seagrass Growth Areas in the Changshan Archipelago," Sustainability, MDPI, vol. 17(10), pages 1-15, May.
    16. Brown, Christian H. & Griscom, Heather P., 2022. "Differentiating between distribution and suitable habitat in ecological niche models: A red spruce (Picea rubens) case study," Ecological Modelling, Elsevier, vol. 472(C).
    17. Horemans, Dante M.L. & Friedrichs, Marjorie A.M. & St-Laurent, Pierre & Hood, Raleigh R. & Brown, Christopher W., 2024. "Evaluating the skill of correlative species distribution models trained with mechanistic model output," Ecological Modelling, Elsevier, vol. 491(C).
    18. Nascimento, Marcela C. & Husson, Berengere & Guillet, Lilia & Pedersen, Torstein, 2023. "Modelling the spatial shifts of functional groups in the Barents Sea using a climate-driven spatial food web model," Ecological Modelling, Elsevier, vol. 481(C).
    19. Semmens, Darius J. & Sherrouse, Benson C. & Ancona, Zach H., 2019. "Using social-context matching to improve spatial function-transfer performance for cultural ecosystem service models," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    20. Chhaytle, Mohamad & Ouvrard, Régis & Poinot, Thierry & Mouysset, Lauriane, 2023. "Parameter-varying partial differential equation to model the global change impacts on wildlife populations," Ecological Modelling, Elsevier, vol. 486(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0257761. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.