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Potential roles of biotic factors in regulating zooplankton community dynamics in jakarta bay shallow water coastal ecosystem

Arief Rachman, +1 more
- Vol. 4, Iss: 1
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TLDR
In this article, the authors examined the relationship between zooplankton community dynamic and important biotic factors, such as predation and food availability, in Jakarta bay, from July to November 2009.
Abstract
The dynamics in zooplankton abundance were regulated by changes in water physical-chemical parameters and interaction with biotic factors. In this research we examined the relationship between zooplankton community dynamic and important biotic factors, such as predation and food availability, in Jakarta bay. Plankton samplings were done in 10 sampling stations in Jakarta bay, from July to November 2009. Zooplankton samples were collected using horizontal towing method with NORPAC plankton net (mesh size 300 μm). Salinity, water depth, water temperature, and water transparency were measured. Phytoplankton samples were also collected with the same method as zooplankton, using Kitahara plankton net (mesh size 80 μm). Zooplankton taxas were grouped into two groups, the prey and predatory zooplankton. The results showed that there were two different patterns in zooplankton groups dynamic i.e., the single and double peak. The abundance peak in most zooplankton groups, such as copepods, cirripeds, luciferids, and tunicates, were induced by the high food availability during the phytoplankton bloom in August. The high abundance of prey zooplankton groups in August was responded by the predatory zooplankton groups, resulting in high abundance of predatory zooplankton in adjacent month. The high abundance of ctenophores and chordates (fish larvae) were suggested as the main factor for the low abundance of other zooplankton in September. Physical and chemical factors were not the regulating factors due to the stability of those factors during this research period. Thus we concluded that food availability and predator-prey interaction were the main factors which regulate zooplankton community dynamics in Jakarta bay. Keywords: predator-prey interaction, zooplankton, abundance peak, food availability, phytoplankton bloom

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Coastal zooplankton in the waters of Iligan City, northern Mindanao, Philippines.

TL;DR: The relationship of physicochemical paramaters of the water and the composition, diversity and abundance of zooplankton assemblage in the nearshore waters surrounding Iligan City were investigated.
References
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Journal ArticleDOI

Seasonality of the copepods Acartia hudsonica and Acartia tonsa in Narragansett Bay, RI, USA during a period of climate change

TL;DR: The complexity of predicting individual species responses to climatic warming, even for species with well-known patterns of seasonal and geographic distribution, is demonstrated.
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The Seasonal Distribution of the Zooplankton off Chicken Key in Biscayne Bay, Florida

Robert A. Woodmansee
- 01 Apr 1958 - 
TL;DR: This investigation was undertaken to determine the nature and seasonal distribution of the zooplankton community at a single station off Chicken Key in Biscayne Bay, Florida, and seasonal data on the water temperature, salinity and rainfall were obtained.
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Changes in plankton community structure and function in response to variable freshwater flow in two tributaries of the Chesapeake Bay

TL;DR: In this paper, the potential for copepod control of microzooplankton biomass in the dry and wet years was evaluated by comparing the estimated grazing rates of micro-plankton by the dominant copepOD species (Acartia spp. and Eurytemora affinis) to micro-phytoplankton growth rates and by calculating the percent of daily micro-zooplanton standing stock removed through copepoder grazing.
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Predicting zooplankton response to environmental changes in a temperate estuarine ecosystem

TL;DR: The logistic regression proved to be a useful approach for predicting the occurrence of species under varying environmental conditions at a local scale and can be considered of reasonable application (and should be tested in other estuarine systems) due to its ability to predict the occurrences of individual zooplanktonic species associated with habitat changes.
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