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Analysis of Floating Macroalgae Distribution around Japan Using Global Change Observation Mission-Climate/Second-Generation Global Imager Data.
- Source :
- Water (20734441); Oct2022, Vol. 14 Issue 20, pN.PAG-N.PAG, 15p
- Publication Year :
- 2022
-
Abstract
- Floating macroalgae information is required to manage coastal environments and fishery resources effectively. In situ observations and analyses can result in under-sampling, thereby challenging the comprehension of the floating macroalgae abundance and spatiotemporal alterations. This study reports the spatiotemporal variation of floating macroalgae distribution around Japan from 2018 to 2021 using Global Change Observation Mission-Climate/second-generation Global Imager data. We employed the floating algae index (FAI) scaled from local ocean FAI to minimize the effect of spatial variation in ocean color. Fractional macroalgae coverage in a pixel was determined using a linear unmixing algorithm with lower and upper thresholds. The lower threshold was determined using the cumulative frequency of the scaled FAI, and the upper threshold was modified based on the more precise Sentinel-2 data. The results revealed that monthly macroalgae coverage varies spatially and seasonally, peaking in the spring and summer in the southwestern area. The macroalgae distribution particularly expanded from the East China Sea to west Japan during spring. In 2018–2021, the total biomass of the offshore floating macroalgae was estimated to be 8880–133,790, 8460–141,900, 3910–70,380, and 4620–61,870 tons. The findings of this study validated the empirical knowledge about specific locations and can serve as a reference to analyze temporal and spatial variations in future studies. [ABSTRACT FROM AUTHOR]
- Subjects :
- MARINE algae
FISHERY resources
FISHERIES
SPRING
SPATIAL variation
OCEAN color
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Volume :
- 14
- Issue :
- 20
- Database :
- Complementary Index
- Journal :
- Water (20734441)
- Publication Type :
- Academic Journal
- Accession number :
- 159962063
- Full Text :
- https://doi.org/10.3390/w14203236