KEYWORDS: Climatology, Climate change, Solar radiation models, Temperature metrology, Environmental sensing, Data modeling, Solar radiation, Geographic information systems, Agriculture, Raster graphics
Based on forty-one years observational data (1960-2000) from seventies weather stations, we analyze the characteristics of climate changes in winter growing season that is defined from November to April the next year. Supported by Geographical Information System (GIS) techniques, relative models are built between climate factors in winter growing season and heights above the sea level. In the context of recent decades climate conditions and assumed climate warming in the future, Climate Potential Productivity (CPP) for five winters crops are calculated, with making CPP distribution maps also. The features of climate changes in winter growing season in recent 41 years can be expressed as increases of mean temperature and precipitation and decrease of sunshine hours, the case appearing especially in 1990's. Temperature is a crucial factor in CPP model. Climate warming can improve the CPP. When the mean temperature increase 0.5°C, 1.0°C, 1.5°C and 2.0°C with unchangeable of other factors, the CPP will increase by 2.1%, 4.1%, 6.3%, and 8.3%. For the proportions of actual field per unit area to CPP for five winter crops are only 14% to 21%, it is beneficial to utilize winter climate resources rationally and increase crop's field.
The crown canopy interception amount to precipitation has nearly relationships to forest species, density, coverage degree and heights etc. Difficulties to analyze crown canopy interception amount to precipitation are attributed to the widespread forest areas with complicated plants species and sparse precipitation observation stations in East China. Resolving these problems are the keys of the study. The author took Guixi County that is located in Jiangxi Province in Southeast China with subtropical climate as an experimental area to study the variation features of forest crown canopy interception to annual precipitation involved trees species, altitudes and geographical locations applying RS and GIS technology, which can provide scientific basis to dynamic research on hydrology ecological capacities of forest.
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