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Seasonal biomass and alginate stock assessment of three abundant genera of brown macroalgae using multispectral high resolution satellite remote sensing: A case study at Ekas Bay (Lombok, Indonesia)

Abstract : The potential of Indonesian bays as alginate producers was assessed by determining the stock of wild brown algae and exploring their biomass as alginophytes at the scale of entire bay, using a combination of field observations, remote sensing high resolution data and GIS tools. Ekas Bay in Lombok Island presented a stock of brown macroalgae which varied with season and species: for Padina the biomass reached 97.85 +/- 12.63 and 79.54 +/- 2.53 tons in May/June and November respectively; for Sargassaceae species, it reached 669.70 +/- 109.64 and 147.70 +/- 77.97 tons in May/June and November respectively. The best alginate yields occurred during the May/June period: Padina could produce 9.10 +/- 0.06 tons DW of alginates. Interestingly, Sargassurn/Turbinaria together allow 207.61 +/- 0.42 tons DW of alginates. This study suggests that wild Sargassaceae represent an interesting stock in terms of biomass, alginate yield and M/G ratio.
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https://hal-univ-ubs.archives-ouvertes.fr/hal-02115224
Contributor : Nathalie Bourgougnon <>
Submitted on : Tuesday, April 30, 2019 - 10:31:27 AM
Last modification on : Tuesday, June 23, 2020 - 3:39:06 AM

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Nur Azmi R. Setyawidati, Maya Puspita, Awaludin Kaimuddin, Ita Widowati, Eric Deslandes, et al.. Seasonal biomass and alginate stock assessment of three abundant genera of brown macroalgae using multispectral high resolution satellite remote sensing: A case study at Ekas Bay (Lombok, Indonesia). Marine Pollution Bulletin, Elsevier, 2018, 131, pp.40-48. ⟨10.1016/j.marpolbul.2017.11.068⟩. ⟨hal-02115224⟩

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