Spatial-temporal distribution and variation characteristics of the agricultural climate resources over recent 30 years in China
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DOI:10.7606/j.issn.1000-7601.2015.04.39
Key Words: China  agricultural climate resources  spatial-temporal variations  characteristic analysis
Author NameAffiliation
LIANG Yu-lian 中国科学院大气物理研究所 北京 100029
中国科学院大学
北京 100049南宁市气象局 广西 南宁 530028 
HAN Ming-chen 广西壮族自治区林业勘测设计院 广西 南宁 530011 
BAI Long 南宁市气象局 广西 南宁 530028 
LI Mei-hong 南宁市气象局 广西 南宁 530028 
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Abstract:
      To evaluate the concurrent distribution status of various agricultural climatic resources between 1981—2010, a Geographic Information System (GIS) technology was employed using the key meteorological factors as the representatives, based on data from 756 surface meteorological stations between 1950s—2010 by defining three base annual precipitation lines (200 mm, 400 mm, 800 mm) as boundaries of “arid-semi-arid-semi-humid-humid” regions in China. Also, by comparing to climatology data between 1950s—1980, the spatial and temporal variation characteristics of agricultural climatic resources were analyzed. The results showed that the optical energy in recent 30 years was decreased and the sunshine hours and the solar radiation resources were reduced by 458.07MJ·m2 and 126 h respectively. The heat resources displayed an opposite change, evidenced by the increased frostless season in most areas except for the south of South China. The distribution trends of growing season precipitation rate became increased, but precipitations in most areas were decreased. Annual accumulated temperature was increased by 1%~2%, and arid region and semi-arid region showed larger increased amplitude than humid region and semi-region. Growing season precipitations in arid region were increased (+10.33%); while other three regions became decreased with the largest decrease in semi-humid region (-3.01%). In conclusion, agriculture production and crop distribution should be reasonably allocated considering distributions of agriculture climatic resources in different regions, and should also be implemented with adaptive measures according to the tendencies.