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Marine Ecosystems Research Department - jamstec japan agency ...

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Japan <strong>Marine</strong> Science and Technology Center<br />

Frontier <strong>Research</strong> System for Global Change<br />

effects on lower branch shedding besides conventionally<br />

known shortage of light source (figure ).<br />

In addition, we launched research on dynamic global<br />

vegetation models (DGVM), which will play a critical<br />

role in constructing ecosystem models in the future.<br />

c. Ecosystem Geographical Distribution Model Group<br />

The objectives of Ecosystem Geographical<br />

Distribution Model (EGDM) Group are remotely sensed<br />

satellite observations to monitor and model terrestrial<br />

ecosystems and their relation to environmental and climate<br />

variability. We focused on the effects of snow<br />

cover on vegetation dynamics in Northern Hemisphere<br />

land areas and satellite-based photosynthetically active<br />

radiation (PAR) and its role in terrestrial primary production<br />

and ecosystem-atmosphere carbon exchange.<br />

In FY , we used -year satellite observations of<br />

snow cover, vegetation greenness (measured by the<br />

normalized difference vegetation index, NDVI), and air<br />

temperature data for North Eurasian land areas to<br />

examine the spatial and temporal patterns in the relation<br />

between snow cover, climate, and vegetation growth<br />

(Figure ). Since reliable data on the global distribution<br />

and temporal variability of PAR are essential to<br />

accurate modeling of the terrestrial carbon cycle, we<br />

applied PAR data obtained from a tropical site in northcentral<br />

Thailand into a two-leaf (sun-shade) model of<br />

forest canopy photosynthesis. The results show that<br />

daily net canopy photosynthesis increases with increasing<br />

diffuse fraction (DF) (when the total available PAR<br />

becomes a limiting factor). These results reinforce past<br />

studies that have relied on modeled or empirical estimates<br />

of PAR. This research contributes to improving<br />

latitude<br />

70<br />

65<br />

60<br />

55<br />

50<br />

a<br />

50 100 150 200 250 300 350<br />

day of year<br />

latitude<br />

70<br />

65<br />

60<br />

55<br />

50<br />

b<br />

-0.02 -0.01 0.00 0.01 0.02<br />

ZFSF (linear trend, fraction/yr)<br />

50 100 150 200 250 300 350<br />

day of year<br />

latitude<br />

70<br />

65<br />

60<br />

55<br />

50<br />

c<br />

0.000 0.002 0.004 0.006 0.008<br />

ZNDN (linear trend, fraction/year)<br />

50 100 150 200 250 300 350<br />

day of year<br />

-0.20 -0.10 0.00 0.10 0.20<br />

ZT (linear trend, deg. C/yr)<br />

Fig.15 View of 54-year-old stand of subalpine fir forest, simulated<br />

by PipeTree.<br />

Fig.16 Linear trends (1982-1999) in (a) zonal snow-cover (ZFSF), (b)<br />

normalized NDVI (ZNDN), and (c) air temperature (ZT). For<br />

ZNDN and ZT, only active growing season values are displayed<br />

(days in which the 18-year mean ZT > 0 degrees C).<br />

133

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