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ALGAE > Volume 23(4); 2008 > Article
ALGAE 2008;23(4): 289-294. doi: https://doi.org/10.4490/algae.2008.23.4.289
Estimation for Seaweed Biomass Using Regression: A Methodological Approach
Young Wook Ko, Gun Hee Sung and Jeong Ha Kim*
Department of Biological Science, Sungkyunkwan University, Suwon 440-746, Korea
*Corresponding Author  Email: jhkimbio@skku.ac.kr
To estimate seaweed biomass or standing crop, a nondestructive sampling can be beneficial because of not much destroying living plants and saving time in field works. We suggest a methodological procedure to estimate seaweed biomass per unit area in marine benthic habitats by using species-specific regression equations. Percent cover data are required from the field samplings for most species to convert them to weight data. However, for tall macroalgae such as kelps we need density data and their size (e.g., size class for subtidal kelps) of individuals. We propose that the field sampling should be done with 5 replicates of 50 cm x 50 cm quadrat at three zones of intertidals (upper, middle, lower) and three depth points (1, 5, 10 m) in subtidals. To obtain a reliable regression equation for a species, a substantial number of replicate is necessary from destructive samplings. The regression equation of a species can be further specified by different locality and different season, especially for the species with variable morphology temporally and spatially. Example estimation carried out in Onpyung, Jeju Island, Korea is provided to compare estimated values with real weight data.
Key words: allometry, nondestructive sampling, regression, seaweed biomass

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