浙江农业学报 ›› 2020, Vol. 32 ›› Issue (5): 866-877.DOI: 10.3969/j.issn.1004-1524.2020.05.15

• 环境科学 • 上一篇    下一篇

基于结构方程模型的高安市耕地产能影响因素研究

李子琳, 韩逸, 郭熙*, 国佳欣, 林雯璐   

  1. 江西农业大学 国土资源与环境学院/江西省鄱阳湖流域农业资源与生态重点实验室,江西 南昌 330045
  • 收稿日期:2019-11-14 出版日期:2020-05-25 发布日期:2020-05-29
  • 通讯作者: *,郭熙,E-mail:Guoxi@jxau.edu.cn
  • 作者简介:李子琳(1994—),女,江西广丰人,硕士研究生,研究方向为农业资源与利用。E-mail:18770913178@163.com
  • 基金资助:
    国家重点研发计划(YFD0301603)

Analysis into influencing factors of cultivated land productivity in Gao'an City based on structural equation model

LI Zilin, HAN Yi, GUO Xi*, GUO Jiaxin, LIN Wenlu   

  1. Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, School of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, China
  • Received:2019-11-14 Online:2020-05-25 Published:2020-05-29

摘要: 以高安市为研究区域,基于147个产能监测点,以耕地产能、土壤养分、农田水利、地学特征与土壤性质为潜变量,运用结构方程构建耕地产能影响因素模型,探讨影响高安市耕地产能的主要因素。结果显示,土壤养分、农田水利与土壤性质是影响耕地产能的主要因素,对耕地产能存在直接或间接的正向影响,直接影响程度从高到低依次为土壤养分(0.55)>土壤性质(0.26)>农田水利(0.23)。地学特征对耕地产能无直接影响,而是通过影响土壤养分(路径系数为0.51)间接影响耕地产能。坡度对耕地产能有负向作用。高安市耕地产能受多方面因素的影响,综合各影响因素间的相互作用与影响效应,建议通过完善水利设施、加强农田质量建设、提高农产品品质、建设耕地健康产能,实现区域粮食生产的协调可持续。

关键词: 耕地产能, 粮食安全, 结构方程模型, 产能核算, 高安市

Abstract: In the present study, Gao'an City was selected as the research area. Based on 147 monitoring points, with cultivated land productivity, soil nutrients, farmland water conservancy, geological characters and soil properties as latent variables in the model, the structural equation modeling (SEM) was adopted to construct the influencing factors model of cultivated land productivity, and the main factors affecting the cultivated land productivity in Gao'an were discussed. The results showed that soil nutrients, farmland water conservancy and soil properties were the main influencing factors affecting cultivated land productivity, with direct or indirect positive effects. The degree of direct influence was ranked as soil nutrient (0.55)>soil properties (0.26)>farmland water conservancy (0.23). Geological characters had no direct impact on cultivated land productivity, but had indirectly impact by affecting soil nutrients. Slope was the only variable with negative effect on cultivated land productivity. The cultivated land productivity in Gao'an City was affected by many factors. Thus, it was recommended to achieve coordinated and sustainable regional food production by improving water conservancy facilities, strengthening the construction of farmland quality, as well as improving the quality of agricultural products to build the healthy productivity of cultivated land.

Key words: cultivated land productivity, food security, structural equation model, productivity calculation, Gao'an City

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