Effect of environmental change on Green Mussel aquaculture suitability in the inner Gulf of Thailand using GIS and remote sensing

Name: Hathaichanok Kumgumpol

keyword: Green Mussel Gulf of Thailand.

LCSH: Kasetsart University -- Theses. M.S. (Fishery Science and Technology) 2020

Classification :.LCCS: SH372.52.T35

LCSH: Kasetsart University. -- Faculty of Fisheries -- Theses

LCSH: Perna viridis -- Gulf of Thailand

LCSH: Shellfish culture -- Gulf of Thailand

LCSH: Remote sensing

LCSH: Geographic information systems

Abstract: The green mussel (Perna viridis) is one of the most commerciallyimportant cultured species along the coast of Thailand. In this study, a suitable aquaculture site-selection model (SASSM) was developed to identify the most suitable areas in the inner part of the Gulf of Thailand (InnerGoT) for green mussel culture. Satellite-derived chlorophyll-a (Chl-a) and hydrodynamic model outputs for sea surface temperature (SST), salinity, maximum water current (MWC), and bathymetry between 2018 and 2019 were used as input to the SASSM. The results show that suitability scores in mussel aquaculture areas were lowest (1–3) during the Southwest (SW) monsoon, rainy season (July–August), and highest (6–7) during the Northeast (NE) monsoon, cold season (November–December). Moderate suitability scores (4–5) were obtained during the monsoon transition from the NE monsoon to the SW monsoon, summer (April–May). The study area was further divided into three zones: the western, central, and eastern regions. The western and eastern parts showed high suitability scores (5–7) while the central zone exhibited low suitability scores (2–4). The model results show a similar pattern to the actual mussel production in the study area. Seasonal events (i.e., flood and dry seasons) were incorporated into the model to examine the seasonal effects on the suitable mussel aquaculture areas. The suitability scores during the SW monsoon in 2018 were more sensitive to changes in SST and salinity relative to 2019. The higher freshwater discharge and lower temperature in 2018 relative to 2019 resulted in the accrual of suitable aquaculture areas. This pattern is consistent with the productions of the green mussel, where higher production was recorded in 2018 (2002.5 t) than in 2019 (410.8 t). However, correlations among atmospheric (air temperature, rainfall, and wind) and oceanographic factors (SST and MWC) were significant in the western and central regions, suggesting that the suitability of green mussel aquaculture in these regions is vulnerable to environmental disturbances. Thus, the SASSM can be a powerful tool in providing useful information on spatial management for marine aquaculture in environmentally-dynamic coastal systems.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Tanuspong Pokavanich

Role: Thesis Advisor

Name: Yang Liu

Role: Thesis CO-Advisor

Created: 2020

Modified: 2025-07-17

Issued: 2025-07-17

วิทยานิพนธ์/Thesis

application/pdf

URL: https://www.lib.ku.ac.th/KUthesis/2563/hathaichanok-kum-all.pdf

CallNumber: SH372.52.T35 .H38

eng

Spatial: Gulf of Thailand.

Spatial: Gulf of Thailand.

DegreeName: Master of Science

Level: Master's Degree

Descipline: Fishery Science and Technology

Grantor: Kasetsart University

©copyrights Kasetsart University

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