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生态学杂志 ›› 2010, Vol. 29 ›› Issue (07): 1427-1431.

• 研究报告 • 上一篇    下一篇

基于生态足迹方法的沈阳地区种植业生产资源消耗评价

刘鸣达1**,赵 曦1,沈 屏2,王耀晶3   

  1. 1沈阳农业大学土地与环境学院,沈阳110866;2沈阳农业大学经济管理学院,沈阳110866;3沈阳农业大学理学院,沈阳 110866
  • 出版日期:2010-07-08 发布日期:2010-07-08

Estimation of resources consumption by farming |in Shenyang region based on ecological footprint method.

LIU Ming-da1, ZHAO Xi1, SHEN Ping2, WANG Yao-jing3   

  1. 1College of Land and Environmental Science, Shenyang Agricultural University, Shenyang 110866, China;2College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, China;3College of Science, Shenyang Agricultural University, Shenyang 110866, China
  • Online:2010-07-08 Published:2010-07-08

摘要: 根据生态足迹方法,建立了种植业生态足迹模型,计算了2001—2006年沈阳地区种植业生态足迹,分析了单位重量农产品生态足迹构成变化规律及其原因。结果表明:2001—2006年,沈阳地区种植业生态足迹呈现先下降后上升趋势,单位重量农产品生态足迹总体呈下降趋势;耕地足迹是沈阳种植业生态足迹的主要成分,水足迹次之,能源足迹所占比重最小。2001—2006年间,耕地足迹从56.8%降到54.4%;水足迹在27.6%~32.1%波动;而能源足迹从14.0%增加到16.2%;农产品单产的提高伴随着钾肥、复合肥、农药、农膜、农用钢材和柴油投入量的增加。表明近年来沈阳地区种植业生产对化石能源的依赖程度在加大。

关键词: 空间多样性指数, 野生动物, 生境格局, 辽河三角洲

Abstract: By the method of ecological footprint (EF), an EF model of farming industry was established to calculate the EF of farming industry in Shenyang region in 2001-2006, and to analyze the change patterns and causes of the EF per unit weight agricultural product (EFunit). In 2001-2006, the EF of farming industry in Shenyang region increased after an initial decrease, while the EF unit had a decreasing trend. Cropland EF was the main component of the EF, followed by water EF, and energy EF. The cropland EF decreased from 56.8% in 2001 to 54.4% in 2006, water EF fluctuated between 27.6% and 32.1%, and energy EF increased from 14.0% to 16.2%. The growth of per unit agricultural product was accompanied with the increase of the inputs of potash fertilizer, compound fertilizer, pesticides, and agriculture-used film, steel, and diesel. All the results indicated that in recent years, the dependence of farming industry in Shenyang region to fossil energy was increasing.

Key words: Spatial diversity index, Wildlife, Habitat pattern, Liaohe Delta