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71.
72.
Naoki Yoshie Yasuhiro Yamanaka Michio J. Kishi Hiroaki Saito 《Journal of Oceanography》2003,59(5):563-571
A one-dimensional ecosystem model has been used to investigate the processes relevant to the spring diatom bloom which play
important roles in the biogeochemical cycle in the western subarctic Pacific. The model represents the plankton dynamics and
the nutrient cycles in the spring diatom bloom; its results show the importance of dilution by deep mixing in winter. It is
supposed that the vertically integrated biomass of phytoplankton decreases in the winter due to the decrease of photosynthesis,
because the deep mixing transports phytoplankton to a layer with a low light level. However, the observed integrated diatom
biomass increases as the mixed layer deepens. This is because the decrease of concentration due to dilution by mixing causes
the diatom grazed pressure to be less significant than diatom photosynthesis. In other words, the effect of dilution on the
grazed rate is more significant than the effect on the photosynthesis rate because the grazed rate depends on the concentrations
of both diatom and grazer, whereas the photosynthesis rate depends only diatom concentration. The average specific diatom
grazed rate, defined as grazed rate divided by diatom biomass, decreases by 35% associated with the deepening, while the average
specific photosynthesis rate of diatom decreases by 11%. As a result, the average specific net diatom growth rate during the
deep mixing is about 70% of its maximum during the spring diatom bloom. The deep mixing significantly affects the amplitude
of the spring diatom bloom not only by the supply of nutrients but also by the dilution which drastically decreases the grazed
pressure.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
73.
Michio Kawamiya Michio J. Kishi Yasuhiro Yamanaka Nobuo Suginohara 《Journal of Oceanography》1995,51(6):635-664
A vertical one-dimensional ecosystem model was constructed and applied to Station Papa. The model has seven compartments (phytoplankton, nitrate, ammonium, zooplankton, particulate organic matters, dissolved organic matters, dissolved oxygen) and was coupled with a mixed layer model for calculating diffusion coefficient which appears in the governing equations. The mixed layer model was driven by SST, SSS data observed at Station Papa in 1980 and ECMWF wind data for 1980, and the ecosystem model was driven by fixing nitrate concentration in deep layer to an observational value. The phytoplankton maximum in March was reproduced by the model although the maximum in fall-winter could not be reproduced. The model also suggests the importance of studying nitrification. As a whole, the model could reproduce characteristic features at Station Papa such as the summer ammonium maximum at 50 m depth, the summer dissolved oxygen maximum at 70 m depth and the absence of remarkable phytoplankton bloom. 相似文献
74.
We applied a three-dimensional ecosystem-physical coupled model including iron the effect to the Okhotsk Sea. In order to clarify the sources of iron, four dissolved iron compartments, based on the sources of supply, were added to Kawamiya et al.'s [1995, An ecological-physical coupled model applied to Station Papa. Journal of Oceanography, 51, 635-664] model (KKYS) to create our ecosystem model (KKYS-Fe). We hypothesized that four processes supply iron to sea water: atmospheric loadings from Northeastern Asia, input from the Amur River, dissolution from sediments and regeneration by zooplankton and bacteria. We simulated one year, from 1 January 2001 to 31 December 2001, using both KKYS-Fe and KKYS. KKYS could not reproduce the surface nitrate distribution after the spring bloom, whereas KKYS-Fe agreed well with observations in the northwestern Pacific because it includes iron limitation of phytoplankton growth. During the spring bloom, the main source of iron at the sea surface is from the atmosphere. The contribution of riverine iron to the total iron utilized for primary production is small in the Okhotsk Sea. Atmospheric deposition, the iron flux from sediment and regeneration of iron in the water column play important roles in maintaining high primary production in the Okhotsk Sea. 相似文献