Spatio-Temporal Projections of the Distribution of the Canopy-Forming Algae Sargassum in the Western North Pacific Under Climate Change Scenarios Using the MAXENT Model Article Swipe
Sun Kyeong Choi
,
Young Baek Son
,
Hyun-Sook Jeong
,
Seonggil Go
,
Sang Rul Park
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/biology14060590
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/biology14060590
Canopy-forming algae play an important role in coastal ecosystems because these species are highly productive and provide habitats and shelter for numerous marine organisms. Sargassum is the main genus of canopy-forming algae in the western North Pacific, but despite the importance of their ecological role, studies on the changes in their distribution are still scarce. Based on the present distribution of four Sargassum species, this study predicted the geographic distribution of future habitats (2030s, 2060s, and 2090s) under three Shared Socioeconomic Pathway (SSP) scenarios. The environmental variables predicted from the sixth phase of the coupled model intercomparison project (CMIP6) had different impacts depending on the species, with current velocity and water temperature showing high contributions in all four species. According to the projections, three Sargassum species (S. horneri, S. macrocarpum, and S. patens) are expected to maintain a higher habitat suitability index (HSI) and suitable habitat (MAXENT ≥ 0.4) through the 2090s under the SSP1-1.9 scenario. However, under the SSP2-4.5 and SSP5-8.5 scenarios, the HSI of the species is projected to gradually decrease in the southern coastal waters of the Korean peninsula and increase in the East Sea (North Korea), with these results intensifying under the SSP5-8.5 scenario. On the other hand, S. piluliferum was found to increase its HSI and habitat under the highest emission scenarios. All Sargassum species are predicted to shift northward from 0.8° N to 3.8° N by the 2090s under the SSP5-8.5 scenario. Although many marine protected areas exist off the coasts of South Korea and Japan, suitable Sargassum habitats were found to be located within protected reserves between 47.1% and 61.2%, depending on the scenario. These findings on Sargassum provide distributional predictions for ecological conservation strategies and provide new evidence for the need for climate change efforts.
Related Topics
Concepts
Sargassum
Habitat
Biology
Ecology
Algae
Species distribution
Peninsula
Canopy
Environmental niche modelling
Marine ecosystem
Oceanography
Ecosystem
Ecological niche
Geology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/biology14060590
- https://www.mdpi.com/2079-7737/14/6/590/pdf?version=1747925975
- OA Status
- gold
- Cited By
- 1
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410614825
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410614825Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/biology14060590Digital Object Identifier
- Title
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Spatio-Temporal Projections of the Distribution of the Canopy-Forming Algae Sargassum in the Western North Pacific Under Climate Change Scenarios Using the MAXENT ModelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-05-22Full publication date if available
- Authors
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Sun Kyeong Choi, Young Baek Son, Hyun-Sook Jeong, Seonggil Go, Sang Rul ParkList of authors in order
- Landing page
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https://doi.org/10.3390/biology14060590Publisher landing page
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https://www.mdpi.com/2079-7737/14/6/590/pdf?version=1747925975Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-7737/14/6/590/pdf?version=1747925975Direct OA link when available
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Sargassum, Habitat, Biology, Ecology, Algae, Species distribution, Peninsula, Canopy, Environmental niche modelling, Marine ecosystem, Oceanography, Ecosystem, Ecological niche, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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