| Home | E-Submission | Sitemap | Contact Us |  
Algae > Volume 23(1); 2008 > Article
Algae 2008;23(1): 83-90. doi: https://doi.org/10.4490/algae.2008.23.1.083
Using a Digital Echosounder to Estimate Eelgrass (Zostera marina L.) Cover and Biomass in Kwangyang Bay
Keunyong Kim, Ju-hyoung Kim and Kwang Young Kim*
Department of Oceanography, Chonnam National University, Gwangju 500-757, Korea
*Corresponding Author  Email: kykim@chonnam.ac.kr
Eelgrass beds are very productive and provide nursery functions for a variety of fish and shellfish species. Management for the conservation of eelgrass beds along the Korean coasts is critical, and requires comprehensive strategies such as vegetation mapping. We suggest a mapping method to spatial distribution and quantify of eelgrass beds using a digital echosounder. Echosounding data were collected from the northeast part of Kwangyang Bay, on the south of Korea, in March, 2007. A transducer was attached to a boat equipped with a DGPS. The boat completed a transect survey scanning whole eelgrass beds of 11.7 km2 with a speed of 1.5-2 m s-1 (3-4 knot). The acoustic reflectivity of eelgrass allowed for detection and explicit measurements of canopy cover and height. The results showed that eelgrass bed was distributed in depth from 1.19 to 3.6 m (below MSL) and total dry weight biomass of 4.1 ton with a vegetation area of 4.05 km2. This technique was found to be an effective way to undertake the patch size and biomass of eelgrass over large areas as nondestructive sampling.
Key words: acoustic reflectivity, biomass, canopy cover, digital echosounder, eelgrass beds, Kwangyang Bay, vegetation

PDF Links  PDF Links
Full text via DOI  Full text via DOI
Download Citation  Download Citation
Related article
Editorial Office
[14348] A-1716, Gwangmyeong Trade Center, 72 Iljik-ro Gwangmyeong-si. Gyeonggi-do, Korea
Tel: +82-2-899-5980  Fax: +82-2-899-5922    E-mail: editalgae@gmail.com
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Phycology.                 Developed in M2PI