| Project/Area Number |
12660020
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
園芸・造園学
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| Research Institution | THE UNlVERSITY OF TOKYO |
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Principal Investigator |
TSUNEKAWA Atsushi Graduate School of Agricultural and Life Sciences, Associate Professor, 大学院・農学生命科学研究科, 助教授 (60227452)
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| Project Period (FY) |
2000 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥4,100,000 (Direct Cost: ¥4,100,000)
Fiscal Year 2002: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2001: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2000: ¥2,100,000 (Direct Cost: ¥2,100,000)
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| Keywords | net primary productivity / PAR / biomass / spectral vegetation index / photosynthesis / photon sensor / thermal emission sensor / radiation use efficiency |
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| Research Abstract |
lt was attempted to identify the potential area affected by desertification using the data of year 2000 in Asia.
Methods : I estimated actual NPP using improved version of CASA model to adjust dry land vegetation. Namely, I used fAPAR estimation by NDVI-fAPAR regression line which I obtained by my own field experiments. Soil moisture estimation model was improved by changing datasets used from monthly to daily one. Chikugo model was applied to estimate climatologically potential NPP from climatologic datasets. The datasets used are as follows ; GPCC precipitation. NCEP/NCAR Global Reanalysis Products for temperature and PAR, FAO soil map for soil texture, and NOAA/AVHRR USGS 1km AVHRR Global Land Dataset for NDVI. Potential evapotranspiration was calculated using Thornthwaite's method. The vegetation type was derived from NOAA GVI. It is assumed that actual NPP would be below climatologically potential NPP in desertified areas. Thus, first, drylands was derived and then the area where actual NPP is less than potential NPP in drylands was derived and mapped (Asian vegetation degradation map).
Results : Compared to soil degradation map of GLASOD, Asian vegetation degradation map corresponds well at the degraded regions from China to Central Asia. However, it seems to have a tendency to show relatively low potential NPP in high elevation areas. It is necessary to improve the method using multi-years datasets, because this analysis used only one year dataset.
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