自然科学版
陕西师范大学学报(自然科学版)
资源与环境科学
基于农用地分等成果的耕地产能核算研究
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王晓峰,曹建农,卫新东,员学锋,赵永华,李团胜,罗广祥
(长安大学 地球科学与资源学院;国土资源部 成矿作用及其动力学开放研究实验室 陕西 西安 710054)
王晓峰,男,博士,主要从事3S技术应用方面的教学与科研工作.E-mail:wangxf@chd.edu.cn.
摘要:
以渭河平原区陕西省扶风县为例,依据自然等级和利用等级与抽样样点指定作物之间的关系,建立了耕地产能核算模型,核算了扶风县耕地产能.结果表明:2009年扶风县理论产能为70.45万t,可实现产能为50.06万t,实际产能为32.65万t;理论产能单产为17 836.05 kg/hm2,可实现产能单产为12 243.72 kg/hm2,实际产能单产为7 592.59 kg/hm2;理论利用强度为0.685;可实现利用强度为0.622;理论潜力为5 593.5 kg/hm2,可实现潜力4 653.265 kg/hm2.在空间上,理论单产、可实现单产和实际单产从南向北呈现明显阶梯状分布,南部平原区乡镇单产最大,中部高原区各乡镇单产居中,北部山区乡镇单产最小.未来,南部平原区和中部高原区乡镇是粮食增产的重点区域.影响扶风县耕地产能的主要因素包括干旱、水价及其粮食作物的品种等.
关键词:
产能核算; 理论产能; 可实现产能; 实际产能; 扶风县
收稿日期:
2009-03-01
中图分类号:
F301.21;F323.21
文献标识码:
A
文章编号:
1672-4291(2010)06-0089-05
基金项目:
国家自然科学基金资助项目(41001374,31000222) ;中央高校基本科研业务费专项基金(CHD2010JC103).
Doi:
Study on cultivated land productivity calculation based on agricultural land classification
WANG Xiao-feng, CAO Jian-nong, WEI Xin-dong, YUAN Xue-feng,ZHAO Yong-hua, LI Tuan-sheng, LUO Guang-xiang
(College of Earth Science and Resources, Chang′an University;The Laboratory of Mineralization and Dynamics,the Ministry of Land and Resources,Xi′an 710054,Shaanxi,China)
Abstract:
According to the relationship between sampling sites and productivity (including theoretical productivity, accessible productivity and actual productivity) with the natural quality of agricultural land index and land use index, the cultivated land productivity models were established and the cultivated land productivity of the study area was calculated. The results showed that the theoretical productivity is 70.45×104 t,accessible productivity is 50.06×104 t and actual productivity is 32.65×104 t. Per unit area of theoretical productivity is 17 836.05 kg/hm2,per unit area of accessible productivity is 12 243.72 kg/hm2 and per unit area of actual productivity is 7 592.59 kg/hm2. The theoretical use intensity is 0.685 and accessible use intensity is 0.622.The theoretical breeding potential is 5 593.5 kg/hm2 and accessible breeding potential is 4 653.265 kg/hm2. In spatial, per unit area of theoretical, accessible and actual productivity showed significant ladder-like distribution from south to north; Per unit area of productivity is highest in the south plain region and lowest in the north hilly region. The south plain region and the middle mountain region are key regions of grain yield increment in future. The fundamental factors influencing the cultivated land productivity of Fufeng county include drought, water value, grain-breeds and so on.
KeyWords:
productivity calculation; theoretical productivity; accessible productivity; actual productivity; Fufeng county