globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2017.11.068
Scopus记录号: 2-s2.0-85041571797
论文题名:
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)
作者: Setyawidati N.A.R.; Puspita M.; Kaimuddin A.H.; Widowati I.; Deslandes E.; Bourgougnon N.; Stiger-Pouvreau V.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
语种: 英语
英文关键词: Alginates ; Alginates stock ; Biomass stock ; Ekas Bay ; GIS ; Remote sensing
Scopus关键词: Algae ; Alginate ; Biomass ; Geographic information systems ; Brown algae ; Ekas Bay ; Field observations ; High resolution data ; High resolution satellites ; Indonesia ; Macro-algae ; Multi-spectral ; Remote sensing
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: 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, Sargassum/. 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. © 2017 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88618
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Agency for Marine Affairs and Fisheries Research and Development, Minister of Marine Affairs and Fisheries, Jl. Pasir Putih 1, Ancol Timur, Jakarta Utara 14430, Indonesia; LEMAR UMR 6539 UBO CNRS Ifremer IRD, European Institute of Marine Studies (IUEM), Université de Bretagne Occidentale (UBO), Technopôle Brest-Iroise, Rue Dumont d'Urville, 29280 Plouzané, France; Faculty of Fisheries and Marine Sciences, Diponegoro University, Jl. Prof. H. Soedharto, SH, Tembalang, Semarang 50275, Indonesia; Laboratoire de Biotechnologie et Chimie Marines, EA3884, Université de Bretagne-Sud (UBS), 56000 Vannes, France

Recommended Citation:
Setyawidati N.A.R.,Puspita M.,Kaimuddin A.H.,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)[J]. Marine Pollution Bulletin,2018-01-01
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