地理科学进展

地理科学进展 ›› 2010, Vol. 29 ›› Issue (3): 273-278.doi: 10.11820/dlkxjz.2010.03.003

• 方法模型与应用 • 上一篇    下一篇

农业综合生产潜力指标体系及其模型改进

王青1|李国蓉1|俞音1|慕长龙2|丁明涛1   

  1. 1. 西南科技大学环境与资源学院| 绵阳 |621010； |2. 四川省林业科学研究院|成都 610081
  • 出版日期:2010-03-25 发布日期:2010-03-25
  • 通讯作者: 慕长龙(1964-)，博士，研究员，主要从事森林生态研究。
  • 作者简介:王青(1967-)|男|博士后|副教授|主要从事环境规划与管理方面研究。E-mail: qingw@imde.ac.cn
  • 基金资助:

    国家“十一五”科技支撑计划(2006BAD03A0204)

Indicators and Model on Agricultural Intergrated Potential Productivity

WANG Qing1, LI Guorong1, YU Yin1, MU Changlong2, DING Mingtao1   

  1. 1. School of Environment and Resources, Southwest University of Science &|Technology, Mianyang 621010, Sichuan, China;
     2. Sichuan Academy of Forestry, Chengdu 610081, China
  • Online:2010-03-25 Published:2010-03-25

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被引次数

29 | 4

摘要：

在系统分析自然生产潜力经典研究成果的基础上，进一步考量社会经济因素的影响，根据土、肥、水、种、密、保、管、工8个影响作物产量形成的主要社会经济因素构建社会经济生产潜力系统，形成了较为完善的农业综合生产潜力指标体系；并引入社会经济修正函数对现有的农业自然生产潜力模型进行完善，构建农业综合生产潜力模型。农业综合生产潜力指标体系及其模型，为定量评估农业资源利用程度提供了一种有效手段。

关键词: 农业生产；指标体系；自然生产潜力；修正函数；综合模型

Abstract:

By analysis of the classical research achievements of physical potential productivity and famous agro-laws on  social-economic factors since the 1960s in China, this paper presented relative systematic indicators on the integrated agricultural potential productivity. According to the main environmental factors relateded to plant growth and grain yield, the authors selected sun-light, heat, precipitation and soil as the key indicators to establish a system of physical potential productivity, and then according to the eight factors of soil cultivating, fertilization, irrigation, species improving, efficient planting, pest controlling, land management, and instrument improving in China, established a system of social-economic potential productivity. Based on these indicators, the authors introduced some amendment parameters of the main socio-economic factors to correct and revise the existing typical agricultural physical potential productivity models. The search results on integrated agricultural potential productivity indicator system and model may provide an effective tool to assess quantitatively on the utilization degree of agricultural resources.

Key words: agricultural productivity；indicator system；physical potential productivity, amendment parameter；integrated model