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2007 Annual Report - jamstec japan agency for marine-earth ...

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"Global comparison of zooplankton time-series" and developed<br />

a series of statistical methods <strong>for</strong> the effective regional comparison<br />

of ecosystem changes. The Working Group plans to hold a<br />

special session on this topic during the International symposium<br />

"Effects of Climate Change on the World's Oceans" in May<br />

2008, and publish a special issue of a scientific journal to present<br />

the accomplishments of the working group activities.<br />

We also conducted the study on the Pan-North Pacific<br />

comparison of zooplankton time-series based on the stable isotope<br />

ratio of the major zooplankton species, Neocalanus spp.<br />

collected in the western, central and eastern North Pacific during<br />

1960s - 2005 under the collaboration of domestic and international<br />

organizations. From the interannual variation of<br />

Nitrogen stable isotope of Neocalanus, we found the bottom-up<br />

control of food web structures, which might be derived from<br />

temporal variation in environmental conditions of the respective<br />

regions. This study was funded by the Grant-in-Aid <strong>for</strong><br />

Scientific Research.<br />

b-2. Comparative study of long-term changes in terrestrial and<br />

<strong>marine</strong> ecosystems<br />

We analyzed stable isotope ratio of Salmonid fish scales<br />

taken in the Lake Baikal and western North Pacific <strong>for</strong> the past<br />

50 years. We found the quasi-bi-decadal synchrony in the stable<br />

isotope ratio of the fish, which inhabited in the completely<br />

remote and independent ecosystems each other. This result suggested<br />

that dynamics of the Okhotsk High and Aleutian Low<br />

might influence the atmospheric and hydrographic conditions of<br />

Siberia and North Pacific at the same timing in decadal scale.<br />

b-3. Analysis of seasonal and interannual variability of chlorophyll<br />

a and primary productivity using satellite data<br />

We made a classification map in the North Pacific including<br />

some marginal Sea Japan Sea, Okhotsk Sea and Bering<br />

Sea based on magnitude of seasonal change standard deviation<br />

and peak chl-a values during spring bloom using 11-<br />

years' ocean color satellite data , and examined relationships<br />

between chl-a concentrations and sea surface temperature<br />

anomalies at each regions . The results show warmer sea surface<br />

temperature corresponds to higher chl-a concentrations in<br />

the Bering Sea and Oyashio regions. Contrastively, opposite<br />

patterns were seen in Gulf of Alaska and Kuroshio regions. In<br />

FY2008, we will examine those mechanisms in detail and discuss<br />

the relation to climate change. As part of same research<br />

using ocean color data, interannual variability of spring bloom<br />

timing in the North Pacific was investigated. The results show<br />

timing of spring blooms in northwestern and adjacent sea<br />

around marginal sea region was earlier in El-Niño year<br />

Warmer phase and later in La-Nina year Cooler phase.<br />

On the other hand, opposite pattern was seen in offshore southeastern<br />

region.Our two major research topics suggest that<br />

oceanic environment or <strong>marine</strong> ecosystem response to climatic<br />

<strong>for</strong>cing is different from each regions.<br />

b-4. Development of pCO 2 model using satellite data<br />

A model to estimate the partial pressure of carbon dioxide<br />

pCO 2 <strong>for</strong> the North Pacific was developed using satellite<br />

data last year In cooperation with Nagoya University. The<br />

model derived pCO 2 results showed good agreement with shipboard<br />

data within an error of 15-18 micro-atm. This method<br />

suggests that it is possible to evaluate basin-scale pCO 2 trends<br />

using remote sensing data. However, we cannot describe seasonal,<br />

interannual variations and effects due to climate change<br />

such as El-Niño and La-Nina events in detail. Now first version<br />

of global algorithms was completed.<br />

c. Modelling of interannual variability of <strong>marine</strong> ecosystem and<br />

International collaboration<br />

Using a global 3-dimensional <strong>marine</strong> ecosystem model<br />

COCO-NEMURO combined with carbon cycle based on the<br />

Fig.3 Left bottom: Time-series of nitrogen isotope ratio in the<br />

scales of Ormul in Lake Baikal and pink salmon in the western North<br />

Pacific the long-term trend is removed.<br />

Right:Long-term variability of anomalous westerly velocities over the<br />

Siberia and western North Pacific.<br />

OCMIP Ocean Carbon-cycle Model Intercomparison<br />

Project protocol, we have investigated the impact of climate<br />

variability in the North Pacific such as the Pacific Decadal

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