Analysis of Marine Ecological Information Based on Seabed Topography
This study presented to build an marine ecological information map by overlapping biological data with data obtained by multi-beam imaging. In aquatic environments, flora and fauna are considered key biomarkers that can be monitored, and long-term aquatic biota data are particularly useful for estim...
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Published in | 수생생물, 4(2) pp. 41 - 50 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
한국조류학회I
01.12.2024
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Subjects | |
Online Access | Get full text |
ISSN | 2765-7876 2799-3000 |
DOI | 10.23135/an.2024.4.2.1 |
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Summary: | This study presented to build an marine ecological information map by overlapping biological data with data obtained by multi-beam imaging. In aquatic environments, flora and fauna are considered key biomarkers that can be monitored, and long-term aquatic biota data are particularly useful for estimating changes in biological populations affected by environmental factors. The subtidal zone is known for its high biodiversity and productivity, and therefore marine biocommunity research in these ecosystems is crucial for the conservation and sustainable use of marine environments. Multi-beam bathymetry involves measuring the depth of the sea area and obtaining various types of information by calculating seafloor topographic data using different methods to enhance accuracy based on the research objectives. However, the application of seabed topography has been limited due to limitations in post-data acquisition processes. Therefore, our study sought to facilitate the utilization of seabed topography by combining it with ecomapping analysis to incorporate marine ecological information. Therefore, the findings of this study underscore the importance of establishing habitat information for climate change and anthropogenic environmental changes. Most notably, the characterization of coastal habitats must be based on comprehensive and useful data to gain accurate insights into there various functions within marine ecosystems. KCI Citation Count: 0 |
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ISSN: | 2765-7876 2799-3000 |
DOI: | 10.23135/an.2024.4.2.1 |