Site suitability mapping for different seaweed cultivation systems along the coastal and marine waters of Bangladesh: A Generalized Additive Modelling approach for prediction

Simple item page
cg.contributor.affiliationWorldFishen
cg.contributor.affiliationKhulna Universityen
cg.contributor.affiliationSher-e-Bangla Agricultural Universityen
cg.contributor.affiliationShahjalal University of Science and Technology, Department of Oceanographyen
cg.contributor.affiliationChattogram Veterinary and Animal Sciences Universityen
cg.contributor.donorUnited States Agency for International Developmenten
cg.contributor.initiativeAquatic Foods
cg.coverage.countryBangladesh
cg.coverage.iso3166-alpha2BD
cg.coverage.regionSouthern Asia
cg.creator.identifierHaque, A.B.M.: 0000-0002-5334-5630
cg.creator.identifierNahiduzzaman, Md: 0000-0002-5152-992X
cg.identifier.doihttps://dx.doi.org/10.1016/j.algal.2024.103404en
cg.isijournalISI Journalen
cg.issn2211-9264en
cg.journalAlgal Researchen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaClimate adaptation and mitigation
cg.subject.impactAreaEnvironmental health and biodiversity
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 14 - Life below wateren
cg.volume78en
dc.contributor.authorTasnim, Rahanumaen
dc.contributor.authorSarker, Subrataen
dc.contributor.authorChamily, Farjanaen
dc.contributor.authorMohiuddin, Mden
dc.contributor.authorFerdous, Afshanaen
dc.contributor.authorHaque, A.B.M.en
dc.contributor.authorNahiduzzaman, Mden
dc.contributor.authorAbdul, Wahaben
dc.contributor.authorRahman, Mden
dc.contributor.authorAsaduzzaman, Md.en
dc.date.accessioned2024-09-19T13:39:43Zen
dc.date.available2024-09-19T13:39:43Zen
dc.identifier.urihttps://hdl.handle.net/10568/152299
dc.titleSite suitability mapping for different seaweed cultivation systems along the coastal and marine waters of Bangladesh: A Generalized Additive Modelling approach for predictionen
dcterms.abstractWhile seaweed cultivation has reached an advanced stage in many Asian countries, this industry remains nascent in Bangladesh, hindered by a lack of comprehensive site suitability mapping. To address this gap, we employed the Generalized Additive Model (GAM) approach to develop habitat suitability maps for different seaweed cultivation systems encompassing the entire coastal and marine territorial areas of Bangladesh. Our study leveraged an in-situ dataset comprising production and environmental factors from 180 cultivation plots of four species (Gracilaria sp., Enteromorpha intestinalis, Ulva lactuca, and Hypnea musciformis) across five cultivation sites, supplementing this data with other ecological variables derived from satellite observations and model simulations. The GAM analysis identified seven key explanatory variables that collectively accounted for 78 %, 76 %, and 79 % of the observed variability in seaweed data for off-bottom long-line, off-bottom net, and floating long-line cultivation systems, respectively. The model predicted that total suspended solids (TSS) predominantly influenced the habitat suitability for off-bottom net and floating long-line cultivation systems, while salinity was a crucial determinant for off-bottom long-line cultivation systems. The study further demonstrated that the predicted suitable areas (50–100 %) for floating long-line cultivation systems (1850 km2) substantially outnumbered those for off-bottom long-line (372 km2) and off-bottom net (380 km2) cultivation systems. The model showed that the southeast coast, specifically the sandy bottom areas of the Moheshkhali channel and its surroundings, exhibited high suitability (>75 % probability) for off-bottom long-line and off-bottom net cultivation systems. In contrast, the floating long-line cultivation system appeared most suitable for seaweed farming along almost the entire coastline of Bangladesh, excluding the Meghna and adjacent estuaries in the central region. Notably, the most suitable areas were specifically concentrated in the coastal areas of Moheshkhali Island, Cox's Bazar, Teknaf, and Saint Martin's Island in the southeast coastal zone, extending potentially to far offshore waters. The predictions of our model aligned well with in-situ observations, as evidenced by an area under the curve (AUC) of 0.83 and an R2 value of 0.85. The insights gleaned from this research offer invaluable guidance to seaweed farmers, entrepreneurs, and policymakers, thereby contributing to the sustainable development of the emerging seaweed-based blue economy in Bangladesh.en
dcterms.accessRightsLimited Access
dcterms.available2024-01-26
dcterms.bibliographicCitationRahanuma Tasnim, Subrata Sarker, Farjana Chamily, Md Mohiuddin, Afshana Ferdous, A. B. M. Haque, Md Nahiduzzaman, Wahab Abdul, Md Rahman, Md. Asaduzzaman. (1/3/2024). Site suitability mapping for different seaweed cultivation systems along the coastal and marine waters of Bangladesh: A Generalized Additive Modelling approach for prediction. Algal Research, 78.en
dcterms.formatPDFen
dcterms.issued2024-03-01
dcterms.languageen
dcterms.publisherElsevieren
dcterms.subjectmaricultureen
dcterms.subjectmarine macroalgaeen
dcterms.subjectfishen
dcterms.subjectblue economyen
dcterms.subjectseaweeden
dcterms.subjectgam modelen
dcterms.subjectgeo-spatial mapsen
dcterms.subjectecological driversen
dcterms.typeJournal Article

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
42657af1a8a37f0599ad9e23585f5b3e.pdf
Size:
14.18 MB
Format:
Adobe Portable Document Format
Description:
Journal Article
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CGIAR Initiative on Aquatic Foods
WorldFish Journal Articles