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Prof. Daisuke Kitazawa
Institute of Industrial Science, The University of Tokyo

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0 Environmental Engineering
0 Ocean Engineering
0 Marine environment
0 Marine Ecosystem Modeling
0 Fisheries Engineering

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Review
Published: 18 December 2020 in Journal of Marine Science and Engineering
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The dynamic predator–prey relations in the food web are vital for understanding the function and structure of ecosystems. Dietary estimation is a research hotspot of quantitative ecology, providing key insights into predator–prey relationships. One of the most promising approaches is quantitative fatty acid signature analysis (QFASA), which is the first generation of statistical tools to estimate the quantitative trophic predator–prey relationships by comparing the fatty acid (FA) signatures among predators and their prey. QFASA has been continuously widely applied, refined and extended since its introduction. This article reviewed the research progress of QFASA from development and application. QFASA reflects the long-term diet of predator, and provides the quantitative dietary composition of predator, but it is sensitive to the metabolism of predator. The calibration coefficients (CCs) and the FA subset are two crucial parameters to explain the metabolism of predators, but the incorrect construction or improper use of CCs and the FA subset may cause bias in dietary estimation. Further study and refinement of the QFASA approach is needed to identify recommendations for which CCs and subsets of FA work best for different taxa and systems.

ACS Style

Junbo Zhang; Chonglan Ren; Hu Zhang; Fang Yin; Shuo Zhang; Rong Wan; Daisuke Kitazawa. Review of Estimating Trophic Relationships by Quantitative Fatty Acid Signature Analysis. Journal of Marine Science and Engineering 2020, 8, 1030 .

AMA Style

Junbo Zhang, Chonglan Ren, Hu Zhang, Fang Yin, Shuo Zhang, Rong Wan, Daisuke Kitazawa. Review of Estimating Trophic Relationships by Quantitative Fatty Acid Signature Analysis. Journal of Marine Science and Engineering. 2020; 8 (12):1030.

Chicago/Turabian Style

Junbo Zhang; Chonglan Ren; Hu Zhang; Fang Yin; Shuo Zhang; Rong Wan; Daisuke Kitazawa. 2020. "Review of Estimating Trophic Relationships by Quantitative Fatty Acid Signature Analysis." Journal of Marine Science and Engineering 8, no. 12: 1030.

Journal article
Published: 25 August 2020 in Journal of Marine Science and Engineering
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In the process of pond culture, the usage of an aeration device can increase dissolved oxygen density and form a decent circulation which facilitates the collection of sludge. Acoustic Doppler Velocimeter (ADV) has been widely used to monitor the flow velocity, however, factors such as bubbles and suspended particles can affect the correlation coefficient and signal-to-noise ratio of ADV, which leads to the existence of outliers in velocity data. This study constructs the three-dimensional rousseeuw phase-space (3DRPS) method by optimizing the phase space threshold method and robust estimation method through two-step filtering and three-dimensional simultaneous measurement, where the outliers close to the real value can be detected more accurately and the iterative process can be reduced more effectively. The results show that the detection rate of the optimized 3DRPS method is approximately 99%. It is a promising method that effectively improves the accuracy of outlier detection and greatly reduces the phenomenon of over processing.

ACS Style

Chunyi Zhong; Fang Yin; Junbo Zhang; Shuo Zhang; Rong Wan; Daisuke Kitazawa. Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter. Journal of Marine Science and Engineering 2020, 8, 655 .

AMA Style

Chunyi Zhong, Fang Yin, Junbo Zhang, Shuo Zhang, Rong Wan, Daisuke Kitazawa. Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter. Journal of Marine Science and Engineering. 2020; 8 (9):655.

Chicago/Turabian Style

Chunyi Zhong; Fang Yin; Junbo Zhang; Shuo Zhang; Rong Wan; Daisuke Kitazawa. 2020. "Optimized Algorithm for Processing Outlier of Water Current Data Measured by Acoustic Doppler Velocimeter." Journal of Marine Science and Engineering 8, no. 9: 655.

Book chapter
Published: 20 October 2015 in Developments in Environmental Modelling
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A three-dimensional hydrodynamic and ecosystem coupled model is one of the useful tools to understand the variation in marine ecosystems. A lot of software has been developed and improved by being used by many researchers. In this chapter, several popular software packages are introduced and the fundamental structure of this software is explained in a view of governing equations, boundary conditions, numerical methods, and so forth. An ecosystem model is focused on a lower-trophic ecosystem based on primary production, not including a higher-trophic ecosystem. For an example of this application, a three-dimensional hydrodynamic and ecosystem coupled model is used to investigate the effects of external loading of organic and inorganic matter on a marine ecosystem in a semiclosed bay. The examples of preparing input information and simulated results are represented toward the improvement of the aquatic environment in the bay from severe eutrophication. Finally, the future development of the three-dimensional hydrodynamic and ecosystem coupled model is inferred from its state-of-the-art.

ACS Style

Daisuke Kitazawa; Junbo Zhang. Hydrodynamic and ecosystem coupled model and its application to the eutrophication problem. Developments in Environmental Modelling 2015, 27, 321 -338.

AMA Style

Daisuke Kitazawa, Junbo Zhang. Hydrodynamic and ecosystem coupled model and its application to the eutrophication problem. Developments in Environmental Modelling. 2015; 27 ():321-338.

Chicago/Turabian Style

Daisuke Kitazawa; Junbo Zhang. 2015. "Hydrodynamic and ecosystem coupled model and its application to the eutrophication problem." Developments in Environmental Modelling 27, no. : 321-338.

Journal article
Published: 01 February 2012 in Journal of Marine Science and Technology
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The Caspian Sea has a unique ecosystem that consists of endemic species. The deterioration of the unique ecosystem has become increasingly worrisome since a wide variety of pollutants have been released into the water. Water circulation plays a key role in advection and diffusion of these pollutants. In the present study, water circulation and thermohaline structures in the Caspian Sea were analyzed by means of a three dimensional numerical simulation. The effects of meteorological changes, river inflow, and an icing event were taken into account as boundary conditions. Numerical simulation was carried out for 20 years to achieve stable seasonal variations in model variables. As a result, the horizontal distributions of water temperature and salinity could be reproduced; the gradient of water temperature in the north–south direction, the decrease in water temperature along the east coast of the middle Caspian Sea due to coastal upwelling, and low salinity in the northern Caspian Sea. The icing event kept the water temperature in the northern Caspian Sea from decreasing to an unrealistic value. The observed cyclonic gyres were basically formed by the density-driven current due to thermohaline structure.

ACS Style

Daisuke Kitazawa; Jing Yang. Numerical analysis of water circulation and thermohaline structures in the Caspian Sea. Journal of Marine Science and Technology 2012, 17, 168 -180.

AMA Style

Daisuke Kitazawa, Jing Yang. Numerical analysis of water circulation and thermohaline structures in the Caspian Sea. Journal of Marine Science and Technology. 2012; 17 (2):168-180.

Chicago/Turabian Style

Daisuke Kitazawa; Jing Yang. 2012. "Numerical analysis of water circulation and thermohaline structures in the Caspian Sea." Journal of Marine Science and Technology 17, no. 2: 168-180.