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Marine Research in Indonesia
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 02162873     EISSN : 24432008     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
MARINE RESEARCH IN INDONESIA (MRI) has been published since 1956 by Indonesia's oldest marine research institute, the Research Center for Oceanography of LIPI (Indonesian Institute of Sciences). MRI focuses on physical, chemical, biological, geological oceanographic as well as coastal management studies in the Indonesian seas and the adjacent Indo-Pacific region.
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 23 (1984)" : 8 Documents clear
PHYTOPLANKTON AND ZOOPLANKTON ABUNDANCE IN AMBON BAY Sutomo, -; Anderson, James Jay
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1621.782 KB) | DOI: 10.14203/mri.v23i0.393

Abstract

Ambon Bay has a shallow neritic inner bay and a deep oceanic outer bay. Net hauls suggest the inner bay has a large population of large phytoplankton cells but a small population of macrozooplankton. In the outer bay the opposite situation exists, with a greater population of macrozooplankton and smaller population levels of small phytoplankton. The differences might be caused by nutrient pollution and siltation in the inner bay.
EVIDENCE FOR TIDAL UPWELLING ACROSS THE SILL OF AMBON BAY Wenno, L. F.; Anderson, James Jay
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1502.173 KB) | DOI: 10.14203/mri.v23i0.394

Abstract

Temperature observations across the sill of Ambon Bay in August 1982 and a model suggest that during the upwelling season of the south east monsoon tidal upwelling on the flood tide can suck thermocline water up the outer slope of the sill from a depth of 50 to 80 m. The water enters over the 10 m sill and replaces the bottom water in the inner part of Ambon Bay.
THE RELATIONSHIP BETWEEN CONDITION FACTOR AND MEAT YIELD OF WILD OYSTER CRASSOSTREA CUCULLATA BORN Wouthuyzen, Sam; Suwartana, Atjep
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1403.055 KB) | DOI: 10.14203/mri.v23i0.395

Abstract

From April 1982 to October 1982, 393 specimens of oyster were collected near mangrove roots from Piru, Waisala, Wailale, Pelita Jaya (Seram Island) Ihamahu (Saparua Island), and Manipa Island for sondition factor analysis. The regression of meat yield (Y) on whole meat weight (X1) and condition factor (X2) could be expressed by the following equation: Y = 0.062 X1 + 0.127 X2 — 10.975. The analysis of correlation indicated that the meat yield of oyster depends on the condition factor. Hydrologieal parameters which affected the condition factor are described.
A BIOLOGICALLY MEANINGFUL PROBABILITY DESCRIPTION OF PLANKTON STOCKS Anderson, James Jay; Sutomo, -
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1533.096 KB) | DOI: 10.14203/mri.v23i0.396

Abstract

Plankton standing stocks can be described with a gamma probability distribution based on a stochastic logistic equation. The stock is characterized by a carrying capacity and a randomness coefficient.
PHYTOPLANKTON AND ZOOPLANKTON ABUNDANCE IN AMBON BAY Sutomo, -; Anderson, James Jay
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1621.782 KB) | DOI: 10.14203/mri.v23i0.393

Abstract

Ambon Bay has a shallow neritic inner bay and a deep oceanic outer bay. Net hauls suggest the inner bay has a large population of large phytoplankton cells but a small population of macrozooplankton. In the outer bay the opposite situation exists, with a greater population of macrozooplankton and smaller population levels of small phytoplankton. The differences might be caused by nutrient pollution and siltation in the inner bay.
EVIDENCE FOR TIDAL UPWELLING ACROSS THE SILL OF AMBON BAY Wenno, L. F.; Anderson, James Jay
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1502.173 KB) | DOI: 10.14203/mri.v23i0.394

Abstract

Temperature observations across the sill of Ambon Bay in August 1982 and a model suggest that during the upwelling season of the south east monsoon tidal upwelling on the flood tide can suck thermocline water up the outer slope of the sill from a depth of 50 to 80 m. The water enters over the 10 m sill and replaces the bottom water in the inner part of Ambon Bay.
THE RELATIONSHIP BETWEEN CONDITION FACTOR AND MEAT YIELD OF WILD OYSTER CRASSOSTREA CUCULLATA BORN Wouthuyzen, Sam; Suwartana, Atjep
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1403.055 KB) | DOI: 10.14203/mri.v23i0.395

Abstract

From April 1982 to October 1982, 393 specimens of oyster were collected near mangrove roots from Piru, Waisala, Wailale, Pelita Jaya (Seram Island) Ihamahu (Saparua Island), and Manipa Island for sondition factor analysis. The regression of meat yield (Y) on whole meat weight (X1) and condition factor (X2) could be expressed by the following equation: Y = 0.062 X1 + 0.127 X2 ? 10.975. The analysis of correlation indicated that the meat yield of oyster depends on the condition factor. Hydrologieal parameters which affected the condition factor are described.
A BIOLOGICALLY MEANINGFUL PROBABILITY DESCRIPTION OF PLANKTON STOCKS Anderson, James Jay; Sutomo, -
Marine Research in Indonesia Vol 23 (1984)
Publisher : Research Center for Oceanography - Indonesian Institute of Sciences (LIPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1533.096 KB) | DOI: 10.14203/mri.v23i0.396

Abstract

Plankton standing stocks can be described with a gamma probability distribution based on a stochastic logistic equation. The stock is characterized by a carrying capacity and a randomness coefficient.

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