Yukiyo Yamamoto and Jun Furuya and Shintaro Kobayashi
Spatial Correlation Analysis between Climate Factors and Plant Production in Asia
424 - 428
2009
3
9
International Journal of Agricultural and Biosystems Engineering
https://publications.waset.org/pdf/3155
https://publications.waset.org/vol/33
World Academy of Science, Engineering and Technology
Using 1km grid datasets representing monthly mean
precipitation, monthly mean temperature, and dry matter production
(DMP), we considered the regional plant production ability in
Southeast and South Asia, and also employed pixelbypixel
correlation analysis to assess the intensity of relation between climate
factors and plant production. While annual DMP in South Asia was
approximately less than 2,000kg, the one in most part of Southeast
Asia exceeded 2,500 3,000kg. It suggested that plant production in
Southeast Asia was superior to South Asia, however, RainUse
Efficiency (RUE) representing dry matter production per 1mm
precipitation showed that inland of Indochina Peninsula and India
were higher than islands in Southeast Asia. By the results of
correlation analysis between climate factors and DMP, while the area
in most parts of Indochina Peninsula indicated negative correlation
coefficients between DMP and precipitation or temperature, the area
in Malay Peninsula and islands showed negative correlation to
precipitation and positive one to temperature, and most part of India
dominating South Asia showed positive to precipitation and negative
to temperature. In addition, the areas where the correlation coefficients
exceeded 0.8 were regarded as “susceptible" to climate factors, and
the areas smaller than 0.2 were “insusceptible". By following the
discrimination, the map implying expected impacts by climate change
was provided.
Open Science Index 33, 2009