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1980—2012年河南省县域粮食单产时空分异及增产潜力研究
  • ISSN号:0479-8023
  • 期刊名称:北京大学学报(自然科学版)
  • 时间:2014.10
  • 页码:1106-1114
  • 分类:F301[经济管理—产业经济]
  • 作者机构:[1]国家农业信息化工程技术研究中心,北京100097, [2]北京农业信息技术研究中心,北京100097, [3]农业部农业信息技术重点实验室,北京100097
  • 相关基金:国家自然科学基金(41201173,41130748)资助
  • 相关项目:城乡发展转型中乡村地域功能演化过程及其动力机制研究- - 以北京市为例
中文摘要:

基于126个县域数据,采用描述性统计指标和空间自相关分析法,揭示1980—2012年河南省县域粮食单产空间格局及其变化,并结合全国耕作制度分区测算粮食增产潜力。结果表明:1)县域粮食单产波动性增加,绝对差异扩大,相对差异先增大后缩小,县域粮食单产分布由正偏态转为负偏态,集聚程度先增强后减弱;2)县域粮食单产空间自相关显著,粮食单产"东高西低"的分异格局明显,粮食单产增加量自东向西阶梯性递减,东部平原县域的粮食单产增加显著;3)1980—2012年县域粮食单产变化的空间集聚特征明显,局部分异显著,显著高高集聚(HH)类型区集中在黄淮平原东部和冀鲁豫低洼平原东北部,显著低低集聚(LL)类型区主要分布在豫西山地丘陵区和黄海平原区西部;4)将河南省划分为5个一级、11个二级增产类型区,鄂豫皖丘陵山地区、燕山太行山山前平原区的粮食单产增产潜力大;河南省总增产潜力约为1.27×10^7 t,黄淮平原区〉鄂豫皖丘陵山地区〉燕山太行山山前平原区〉豫西山地丘陵区〉冀鲁豫低洼平原区。

英文摘要:

Based on the statistical data of 126 counties in Henan, using mathematical statistics method and spatial autocorrelation analysis, spatial changes and variation character of grain yield per hectare at county level in Henan Province during 1980—2012 are discussed by SPSS, Arc GIS and Geo Da software, and the increase potential of grain yield per hectare and total yield at regional scale are calculated. The results show that:1) During 1980—2012, grain yield per hectare and its absolute difference at county level take on increasing trend by and large, while the relative difference increases first and then decreases. The distributional pattern of grain yield per hectare changes from positive skewness to negative skewness, and the agglomeration degree of grain yield per hectare increases first and then decreases. 2) Grain yield per hectare at county level in Henan has a strong spatial autocorrelation with evident pattern "high in the eastern while low in the western". The increment of grain yield per hectare descends from East to West at county level, and counties with higher increment of grain yield per hectare gather in the eastern plain area of Henan. 3) The changes of grain yield per hectare at county level show a positive spatial autocorrelation and the characteristic of spatial clustering of regional high value and low value is significant. The counties with "High-High" and "Low-Low" correlation are the majority. The counties with significant "High-High" correlation are mostly located in the eastern of Huang-Huai plain area and northwestern of the Hebei-ShandongHenan low-lying plain area, while the counties with significant "Low-Low" correlation are mainly distributed in western Henan mountainous-hilly area and western of Huang-Huai plain area. 4) Henan Province is divided into 5 first-grade regions and 11 second-grade regions according to the coupled conditions of farming system regionalization and LISA cluster map. The potential output per hectare of the 5 first-grade regions

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期刊信息
  • 《北京大学学报:自然科学版》
  • 中国科技核心期刊
  • 主管单位:教育部
  • 主办单位:北京大学
  • 主编:赵光达
  • 地址:北京海淀区海淀路52号
  • 邮编:100871
  • 邮箱:xbna@pku.edu.cn
  • 电话:010-62756706
  • 国际标准刊号:ISSN:0479-8023
  • 国内统一刊号:ISSN:11-2442/N
  • 邮发代号:2-89
  • 获奖情况:
  • 1997年第二届全国优秀科技期刊评比一等奖,1999年教育部“优秀自然科学学报一等奖”,1999年获首届国家期刊奖,中国期刊方阵“双高”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,荷兰文摘与引文数据库,英国科学文摘数据库,英国动物学记录,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:18270