Rice's spatial-temporal distributions, which are critical for agricultural, environ- mental and food security research, are affected by natural conditions as well as socio-eco- nomic developments. Based on multi-source data, an effective model named the Spatial Production Allocation Model (SPAM) which integrates arable land distribution, administrative unit statistics of crop data, agricultural irrigation data and crop suitability data, was used to get a series of spatial distributions of rice area and production with 10-km pixels at a national scale -it was applied from the early 1980s onwards and used to analyze the pattern of spatial and temporal changes. The results show that significant changes occurred in rice in China during 1980-2010. Overall, more than 50% of the rice area decreased, while nearly 70% of rice production increased in the change region during 1980-2010. Spatially, most of the increased area and production were in Northeast China, especially, in Jilin and Heilongjiang; most of the decreased area and production were located in Southeast China, especially, in regions of rapidly urbanization in Guangdong, Fujian and Zhejiang. Thus, the centroid of rice area was moved northeast approximately 230 km since 1980, and rice production about 320 km, which means rice production moved northeastward faster than rice area because of the significant rice yield increase in Northeast China. The results also show that rice area change had a decisive impact on rice production change. About 54.5% of the increase in rice pro- duction is due to the expansion of sown area, while around 83.2% of the decrease in rice production is due to contraction of rice area. This implies that rice production increase may be due to area expansion and other non-area factors, but reduced rice production could largely be attributed to rice area decrease. 相似文献
Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and
simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation,
we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi-
model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of
1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period
of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce
Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the
factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the
observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature
increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same
weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from
multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios
of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the
trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C. 相似文献
In order to thoroughly investigate the diversity of glacier microorganisms, four DNA extraction methods with different lysis patterns
were tested and two screened methods (the Bosshard-Bano method and the Zhou method) were optimized for the most effective
form of the filter membrane (cut vs. uncut), the DNA extraction method, and the precipitation method. The two optimized
methods were then compared with the commercial Mo-Bio DNA extraction kit, and the results showed that the kit was generally
suitable for extraction of microorganism DNA from glacier surface snow. Procedurally, it was found that a modified Bosshard-
Bano method (i.e., cutting the filter membrane into pieces, using a specific lysis pattern [lysozyme (5 mg/mL)-protease K
(1 mg/mL)-CTAB (1%)-SDS (1%)], performing the extraction only once by chloroform-isoamyl alcohol (24:1), and conducting
DNA precipitation by pure ethanol) was also an effective and less expensive method for extraction of microorganism DNA from
glacier surface snow. 相似文献