Citation
Wijopriono
(2006)
Distribution of Pelagic Fish Species in the Java Sea From Remote Sensing Data.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Pelagic fishery in the Java Sea is multi-species and dominated by a community of
small pelagic species. This study attempted to employ different sources of data in
order to determine the distribution of pelagic fish species and to estimate their
environmental preferences. Catch per unit effort (CPUE), hydro-acoustic, satellite
derived sea surface temperature (SST) and chlorophyll-a data as well as
oceanographic in sifu measurements data were used to achieve these objectives.
CPUE data were collected from commercial fishing records available at the fishing
port of Pekalongan, the main pelagic fish landing centre in the north coast of Java
Hydro-acoustic and oceanographic in situ measurements data were collected from
hydro-acoustic survey carried out during September-October 2002, while the data of
satellite &rived SST of AVHRR-NOAA and chlorophyll-a derived fiom SeaWiFS
were collected from the HRPT (High Resolution Picture Transmission) ground
receiving station at BPPT (Assessment and Application of Technology Board),
Jakarta, and GSFC-NASA (Goddard Space and Flight Center of the National
Aeronautics and Space Administration). Correlation analysis, cluster analysis, PCA,
spatial analysis and GIs technique were employed in determining abundance and
density distribution of pelagic fish species. Spatial analysis and GIs technique
together with GLM were also applied in building the fishery-environment dependent
model in order to estimate the environmental preferences of the fishes. Results of the
study showed that the Java Sea water was seasonally occupied by oceanic water of
the Indonesian Throughflow (ITF). The influence of the ITF was most pronounced in
the southeast monsoon when the currents in the Java Sea flow towards the west. The
influence is minimum in the northwest monsoon when the currents flow towards the
east. The sea has a great thermal stability with a monthly SST average of 28.9 OC and
the difference between maximum and minimum (gradient) of 2.0-3.5 OC. The
abundance of phytoplankton tends to increase towards the west and towards the
coastal areas off north coast of Java, south coast of Kalimantan, and around the small
islands spreading over the Java Sea. Correlations between physical and biological
oceanographic parameters were exhibited. Pelagic fishery resources in the Java Sea
have undergone considerable variations in both their seasonal distributions and
abundances. They were relatively low during northwest monsoon (December-
March), and increased during southeast monsoon (June-September), with a peak at
the end of the monsoon. Abundance of the resources was mostly driven by
fluctuations in the abundance of one dominant species, SardineIIa spp in the inshore
and Decapterus spp in the offshore. The two species make up the average of 36%
and 32% of the total CPUE, respectively. GLM model gave evidence that the pelagic
fish species have a tolerance limit of temperature of up to 28.5 OC, and below this
temperature limit they show a positive trend of relationships with chlorophyll-a
concentrations. The model also revealed that oceanographic variables (SST and
chlorophyll-a concentrations) contriiuted 54% to the total variance explained by the
GLM predictors, confirming the relative importance of these variables in predicting
m u s
bvmar~rw r
pelagic fish catch However, relationship between sea surface temperature ana
chlorophyll-a concentrations was weak The GIs model has demonstrated its
capability in delineating spatial patterns of fish density in relation to the
environmental variables, especially zooplankton, which was not covered in the GLM
model.
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Additional Metadata
Item Type: |
Thesis
(Doctoral)
|
Subject: |
Fishes - Geographical distribution - Remote sensing - Java Sea (Indonesia) - Case studies |
Call Number: |
FH 2006 2 |
Chairman Supervisor: |
Professor Kamaruzaman Jusoff, PhD |
Divisions: |
Faculty of Engineering |
Depositing User: |
Nur Izzati Mohd Zaki
|
Date Deposited: |
10 May 2010 04:14 |
Last Modified: |
09 Oct 2023 01:31 |
URI: |
http://psasir.upm.edu.my/id/eprint/6101 |
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