Based on the statistical data concerning land use in Anhui Province from 1995 to 2005, this paper conduct comprehensive analysis on change of land use structure, change of land use degree, and landscape pattern change...Based on the statistical data concerning land use in Anhui Province from 1995 to 2005, this paper conduct comprehensive analysis on change of land use structure, change of land use degree, and landscape pattern change of land use in Anhui Province from 1995 to 2005 using statistical analysis and mathematical model. The results show that the land use structure has changed significantly; the rate of land use change is quick; the land use degree is not high; the spatial pattern of land use tends to be reasonable and gradually develops toward the equilibrium state.展开更多
County-based IMR and U5MR in Anhui and Henan provinces in China were estimated and analyzed by using the 1990 Census Data. Census was conducted on July 1,1990, the number of deaths only occurred in the first half year...County-based IMR and U5MR in Anhui and Henan provinces in China were estimated and analyzed by using the 1990 Census Data. Census was conducted on July 1,1990, the number of deaths only occurred in the first half year of 1990 was collected. In order to obtain the total population and total number of deaths in the same year, the total number of deaths in each eqersex group for the whole 1990 was then estimated by taking the death number in the first half of 1990 as the base and multiplying a coefficient, which varied in different age-sex-region groups. Two major adjustments for some possible underreporting cases in female birth and infant death were made. If the sex ratio at age 0 in some counties was beyond 1. 2, then it was taken as 1. 15 for rural counties and 1.10 for urban cities, which were the estimates of sex ratios for the children at ape 5 in the national 1% Population Sampling Survey in 1995. The adjustment for IMR were made by comparing the segment of the county lift table from age 15 through 59 with that from the same age groups in the international and Chinese Model Life Tables. The IMR in the county life table would be substituted by the one in the closest Model Life Talbe, if it was less than in the latter.The findings of the analysis may be summarized as fol1ows: (i) Total county-based IMR and U5MR were 33. 4 Per 1000 and 41. 4 per 1000 respectively, with great variations between urban cities (25. 4 per 1000 for IMR and 31. 4 per 1 000 for U5MR) and rural counties (35. 1 Per 1000 for IMR and 43. 6 per 1000 for U5MR). There were also sighficant differences in child mortality between nationally identified Poor counties and other counties in rural areas. In the opr counties the total IMR was 40. 7 per 1 000 living births in average while in non-opr counties it was only 33. 2 per 1000 in average (P < 0.05). The U5MR in opr counties was 25 percent higher than in non-opr counties (51. 5 vs 40. 9 Per 1 000 living births).(ii) Statistically significant correlation between child mortality and socio-economic variables was revealed from the data set, among which gross social economic products per capita was found to have the strongest relationship with child mortality. The neqative correlation was found between child mortality and a set of socalled' rich' variables including the gross social products, gr-oss agricultural products, gna industrial products and the proportions of high-educated population at county level, whereas the poSitive correlation was found between child mortality and a set of'poor' variables, such as proportions Of residents with lower 1evel of education and illiteracy rate.(iii) thfferences in child mortality between these two provinces were found, which were identical to the trends of differences in socio-economic indicators between them.tower child mortality proved to be associated with better socio-economic conditions(higher per capita products, higher proPortions of residents with higher level of education, lower proportion of less educated people and illiteracy) in province Henan.展开更多
On the basis of connotation of urbanization,by using SPSS factor analysis and cluster analysis,we establish index system of urbanization development level and conduct quantitative analysis on development level of urba...On the basis of connotation of urbanization,by using SPSS factor analysis and cluster analysis,we establish index system of urbanization development level and conduct quantitative analysis on development level of urbanization in 17 prefecture-level city of Anhui Province,in order to find out the differentiation pattern of regional space of urbanization development in Anhui Province based on these.The results show that Anhui's difference of urbanization gradient is prominent.Classification of three clusters shows that the pattern of status quo of urbanization development in Anhui Province is "dual-nucleus" and "two-stretches";classification of five clusters show that the pattern of status quo of urbanization development in Anhui Province is "one-core","one-strip" and "three-region".From five aspects,namely natural geography,transportation location,resources distribution,economic development and administrative system,we analyze the reason and influencing factors of differentiation of urbanization development in the region.The results of three clusters and five clusters show that there is great possibility that "dual-nucleus" changes into "individual-nucleus";"one-core" and "one-strip" may evolve into "one-group".We should foster the urban agglomeration in central Anhui;perfect structure system in the perspective of integration and fostering;strengthen infrastructure construction and regional coordination system;elevate comprehensive competitiveness and guide holistic development of regional economy;promote industrialization process and promote development level of urbanization.展开更多
森林是陆地生态系统的主体,在全球陆地生态系统碳循环和碳储量中占有十分重要的地位（Dixon et al.,1994;Watsonetal.,2000;史军等,2004;徐新良等,2007）。测定森林群落生物量,可以反映群落利用自然的潜力,衡量群落生产力的高低,也是研...森林是陆地生态系统的主体,在全球陆地生态系统碳循环和碳储量中占有十分重要的地位（Dixon et al.,1994;Watsonetal.,2000;史军等,2004;徐新良等,2007）。测定森林群落生物量,可以反映群落利用自然的潜力,衡量群落生产力的高低,也是研究森林生态系统物质循环的基础（薛立等,2004）。森林乔木层生物量研究是开展森林群落生物量碳库研究的基础,国内外已有不少该方面的研究,分别从不同角度分析了树种生物量的组成与分配特征,并进行了相关因子分析（Chidumayo,1990;林开敏等,1996;Arashkevich et al.,2002;樊后保等,2006;陈美高,2006）。展开更多
文摘Based on the statistical data concerning land use in Anhui Province from 1995 to 2005, this paper conduct comprehensive analysis on change of land use structure, change of land use degree, and landscape pattern change of land use in Anhui Province from 1995 to 2005 using statistical analysis and mathematical model. The results show that the land use structure has changed significantly; the rate of land use change is quick; the land use degree is not high; the spatial pattern of land use tends to be reasonable and gradually develops toward the equilibrium state.
文摘County-based IMR and U5MR in Anhui and Henan provinces in China were estimated and analyzed by using the 1990 Census Data. Census was conducted on July 1,1990, the number of deaths only occurred in the first half year of 1990 was collected. In order to obtain the total population and total number of deaths in the same year, the total number of deaths in each eqersex group for the whole 1990 was then estimated by taking the death number in the first half of 1990 as the base and multiplying a coefficient, which varied in different age-sex-region groups. Two major adjustments for some possible underreporting cases in female birth and infant death were made. If the sex ratio at age 0 in some counties was beyond 1. 2, then it was taken as 1. 15 for rural counties and 1.10 for urban cities, which were the estimates of sex ratios for the children at ape 5 in the national 1% Population Sampling Survey in 1995. The adjustment for IMR were made by comparing the segment of the county lift table from age 15 through 59 with that from the same age groups in the international and Chinese Model Life Tables. The IMR in the county life table would be substituted by the one in the closest Model Life Talbe, if it was less than in the latter.The findings of the analysis may be summarized as fol1ows: (i) Total county-based IMR and U5MR were 33. 4 Per 1000 and 41. 4 per 1000 respectively, with great variations between urban cities (25. 4 per 1000 for IMR and 31. 4 per 1 000 for U5MR) and rural counties (35. 1 Per 1000 for IMR and 43. 6 per 1000 for U5MR). There were also sighficant differences in child mortality between nationally identified Poor counties and other counties in rural areas. In the opr counties the total IMR was 40. 7 per 1 000 living births in average while in non-opr counties it was only 33. 2 per 1000 in average (P < 0.05). The U5MR in opr counties was 25 percent higher than in non-opr counties (51. 5 vs 40. 9 Per 1 000 living births).(ii) Statistically significant correlation between child mortality and socio-economic variables was revealed from the data set, among which gross social economic products per capita was found to have the strongest relationship with child mortality. The neqative correlation was found between child mortality and a set of socalled' rich' variables including the gross social products, gr-oss agricultural products, gna industrial products and the proportions of high-educated population at county level, whereas the poSitive correlation was found between child mortality and a set of'poor' variables, such as proportions Of residents with lower 1evel of education and illiteracy rate.(iii) thfferences in child mortality between these two provinces were found, which were identical to the trends of differences in socio-economic indicators between them.tower child mortality proved to be associated with better socio-economic conditions(higher per capita products, higher proPortions of residents with higher level of education, lower proportion of less educated people and illiteracy) in province Henan.
基金Supported by Social Sciences Program of Anhui Province Office of Education Humanities(2009sk445)Postgraduate and Doctoral Foundation of Anhui Construction Industry Institute in 2009
文摘On the basis of connotation of urbanization,by using SPSS factor analysis and cluster analysis,we establish index system of urbanization development level and conduct quantitative analysis on development level of urbanization in 17 prefecture-level city of Anhui Province,in order to find out the differentiation pattern of regional space of urbanization development in Anhui Province based on these.The results show that Anhui's difference of urbanization gradient is prominent.Classification of three clusters shows that the pattern of status quo of urbanization development in Anhui Province is "dual-nucleus" and "two-stretches";classification of five clusters show that the pattern of status quo of urbanization development in Anhui Province is "one-core","one-strip" and "three-region".From five aspects,namely natural geography,transportation location,resources distribution,economic development and administrative system,we analyze the reason and influencing factors of differentiation of urbanization development in the region.The results of three clusters and five clusters show that there is great possibility that "dual-nucleus" changes into "individual-nucleus";"one-core" and "one-strip" may evolve into "one-group".We should foster the urban agglomeration in central Anhui;perfect structure system in the perspective of integration and fostering;strengthen infrastructure construction and regional coordination system;elevate comprehensive competitiveness and guide holistic development of regional economy;promote industrialization process and promote development level of urbanization.
文摘森林是陆地生态系统的主体,在全球陆地生态系统碳循环和碳储量中占有十分重要的地位（Dixon et al.,1994;Watsonetal.,2000;史军等,2004;徐新良等,2007）。测定森林群落生物量,可以反映群落利用自然的潜力,衡量群落生产力的高低,也是研究森林生态系统物质循环的基础（薛立等,2004）。森林乔木层生物量研究是开展森林群落生物量碳库研究的基础,国内外已有不少该方面的研究,分别从不同角度分析了树种生物量的组成与分配特征,并进行了相关因子分析（Chidumayo,1990;林开敏等,1996;Arashkevich et al.,2002;樊后保等,2006;陈美高,2006）。
