摘要
几百年的人地关系研究历史证明,许多思想家和地理学家往往都以粮食这一特殊物质入手,并以粮食为诊断因素来反映人与自然之间错综复杂的联系。80年代中期兴起的土地资源人口承载量的研究,乃是这一传统研究思路的延续。因而,在我国深入开展这一项研究的过程中,有必要在吸收国外研究方法和经验的同时,注意总结历史的教训。①土地资源人口承载量的研究,其目的并不在于获取土地资源到底能养活多少人这一精确的人口数据,而在于揭示人口、粮食、土地三者之间的复杂关系及其地域差异。②土地资源的生产潜力是土地的自然属性与人类管理水平的综合反映,人类对土地的反作用以及科学技术的影响是使土地资源人口承载量发生阶段性跃迁的主要因素,在进行长周期预测时应予以足够的重视。③在引进国外方法和模式时,应根据不同的研究精度、不同的研究目的、不同的区域性质以及研究条件等加以科学订正。作者从人地关系研究出发,以滨海县和苏州市2个不同类型地区为实例,采用机助多要素图叠置分析的方法,进行了土地资源人口承载量的预测和分析。
For hundreds of years, many great geographers and thinkers have looked upon food as a mirror to reflect the man-nature relation which they were studying. The calculation of the population carrying capacity of the land resource, a reseach field appearing in the early 1980's, still follows the trail of such thought. It is essential to pay attention to lessons left by ancient pioneers when we are going to use methods and models of calculation of other countries in the study of our own country. (1) the potential productivity of the land is a synthetical reflection of the physical characteristics of the land and the management of mankind. So we should fully consider man's reactions to the land and the influence of the development of sciences and technology. (2) All the calculation models and experimental coefficients should be corrected according to the characteristics of the region concerned, the research purpose, and the level of study. (3) The potential capability of the land resource should be differentiatad from the potential productivity of the land, espulation carrying capacity of Binghai and Su-tion carrying capacity of some economic kernel regions. Proceeding from the above principles, the author engages in the calculation of the population carrying capacity of Binhai and Su-zhou, two different types of land use regions, by means of the method of computer-assisted multi-elements analysis.
出处
《自然资源学报》
CSSCI
CSCD
1991年第2期117-126,共10页
Journal of Natural Resources
关键词
土地资源
人口承载量
人地关系
land resource
man-nature relation
the population carrying capacity of the land resource
the potential productivity of the land
