摘要
耕地作为人们赖以生存和发展的最根本的物质基础,是人类获取粮食及其它农产品而不可替代的生产资料。农业的发展,人们物质生活水平的提高,乃至整个国民经济的发展直接或间接依赖耕地数量的多寡和质量的好坏。为了保障粮食安全,在中国耕地数量很难保持不变或者增加的情况下,实现耕地集约利用具有特别重要的意义。因此,耕地集约利用方面的研究势在必行。
耕地集约利用是土地利用的核心问题之一,如何建立一种科学的评价体系、合理的评价方法以及有效配置模式,是当前土地科学研究的热点问题。
本文围绕耕地集约利用评价及其配置模式这一核心,从理论、方法、实证等方面进行了研究,首先明确耕地集约利用的内涵,耕地集约利用是一个动态的概念,耕地集约利用的标准不是一成不变的,而是随着社会进步和科技发展不断变化的。其次介绍了耕地集约利用的相关理论。再次介绍了基于PSR的耕地集约利用评价模型的设计。最后探讨了哈尔滨市耕地集约利用的配置模式和配套措施。
本文从耕地利用中的人地关系分析入手,阐述了耕地集约利用的PSR概念系统,并据此构建了评价指标体系,然后采用主成分分析法,从区域时间和空间的角度对哈尔滨市市区及11个市县的耕地集约利用情况进行了测度和评价,并根据评价结果对哈尔滨市耕地集约利用进行模式配置。结果表明:其一,2001-2005年哈尔滨市各地区耕地集约利用度在5年中变化不大,总体上呈现上升的趋势。根据各地区耕地集约利用的特点,可将其大致分为三类:一是市区、阿城、尚志、巴彦和方正,这些地区的耕地集约利用度呈逐年上升的趋势;二是双城市、宾县、延寿县、木兰县和通河县,这些地区在评价期内耕地利用程度略有起伏,但总体上呈现上升的趋势;三是五常市和依兰县的耕地利用集约度呈略微下降的趋势。其二,哈尔滨市西部地区耕地集约利用效益较高,东南部次之,北部偏低,这主要是由于区位优势、产业结构地形特征的差异所致,并根据分析结果,利用ARCGIS技术,绘制了耕地集约利用空间分布等级图。其三,通过分析,发现哈尔滨市耕地集约利用水平与其PSR系统的协调度成正相关。这说明PSR各子系统及其内部各因子之间的协调性很大程度上可以反映耕地集约利用的均衡度,模型可信度比较高,可供有关方面参考借鉴。其四,常规式可持续高产模式、高效节约型模式、立体——多级循环式是今后哈尔滨市耕地集约化利用的最优选择模式。最后,提出了哈尔滨市实现耕地集约配置的措施,一是实行耕地结构调整以促使耕地高效集约利用,二是加大生态农业基地建设的力度和优化农产品布局,三是依靠科技进步提高耕地资源综合效益,四是建立完整的信息监测体系以确保耕地的“质”和“量”,五是大力加强农村土地整理实现小范围内的规模经营和集约经营。
As the essential material foundation of human' existence and development, cultivated land is the irreplaceable means of production in food and other agricultural products getting. It depends directly and indirectly on the cultivated land quantity and quality to develop agriculture, to improve people's life level and to develop the national economy. In order to ensure food security in China's and remain farmland unchanged or increased hard, the realization of the intensive use of arable land will have special significance. Therefore, the use of arable land intensive research will be imperative.
Intensive land use is one of the core issues of arable land. How to establish a scientific assessment system, a reasonable evaluation method and an effective allocation pattern, is currently a hot issue in land scientific research.
The paper was researched focus on envaluation of cultivated land intensive use and its allocation pattern from theory, method to instance aspects. First, explicit the content of cultivated land use. Cultivated land intensive use is a dynamic content and its standard is changing as the society and science developing. Second, the paper introduced some relative theories on cultivated land intensive use.Third, the paper introduced appraisal model of cultivated land intensive use based on PSR . The last, it discussed allocation pattern and relative measures of Harbin cultivated land intensive use.
This paper explained cultivated land intensive use conception based on PSR starting with the man-land relationship, and esteblished the index system based on PSR model.Then the method of principle component analysis was adopted to calculate the cultivated land intensive use of 11 regions in Harbin with the formation of the index system and the result was graded. At last, it put forward the intensive use pattern for Harbin cultivated land based on appraisal result. Some of the main achievements of the paper could be summarized as follows: The first, from 2001 to 2005, all regions in Harbin had no significant change in cultivated land intensive use. According to the character of intensive use, all the regions could be divided into three parts: the first part included downtown, Acheng, Shangzhi, Bayan, Fangzheng. These regions had a increase in intensive use year by year . The second part included Shuangcheng , Binxian, Yanshou, Mulan and Tonghe.These regions had rise and fall in intensive use among these years, but had a increase on the total. The third part included Wuchang and Yilan; these two regions both had a decrease.The second, cultivated land intensive use in the western of Harbin was the most intensive, the southeastern was the second, the northern was the least, it was because of the different location and industrial structure of these areas. And the author used ARCGIS technology and renderd the intensive use of land distribution grading plans. The third, by analysis found that the intensive use of land in Harbin PSR system and the level of coordination was positive correlation. This showed that the PSR subsystems and internal coordination between the various factors of farmland to a large extent reflected the intensive use of a balanced, relatively high reliability model for information from the parties concerned. The fourth, the conventional model of sustainable high yield and high efficiency-saving model, stereo-Multi-level cycle model are the optimal models of cultivated land intensive use in future in Harbin. Finally, the writer researched intensive cultivated land allocation measures of Harbin: firstly, imply farmland restructuring to promote intensive use, secondly, strengthen construction of eco-agriculture base and optimize distribution of products, thirdly ,rely on the scientific progress to improve integrated benefit of arable land resources, forthly establish a information and monitoring system to ensure farmland quality and quantity, fively promote water-saving irrigation technologies and break a new road fitted for region, sixly strengthen land Consolidation to achieve scale and intensive operation.
引文
彼得·布莱克本.1996.与其扩大耕地.不如集约耕地[N].参考消息,42
毕宝德.2001.土地经济学[M].第四版.北京:中国人民大学出版社,199-141
毕于运,郑振源.2000.建国以来中国实有耕地面积增减变化分析[J].资源科学,5(1):25-26
陈宝兰.2006.现代集约可持续农业的构想[J].乡镇经济,(12):34-38
崔功豪,魏清泉,陈宗兴.1999.区域分析与规划[M].高等教育出版社出版,248-249
董黎明,袁利平.2000.集约利用土地—21世纪中国城市土地利用的重要方向[J].中国土地科学,14(5):6-8
冯科,郑娟尔.2007.GIS和PSR框架下城市土地集约利用空间差异的实证研究-以浙江省为例[J].经济地理,27(5):27-30
郭春华,余德贵.2000.耕地生态经济系统集约度的测算[J].长江流域资源与环境.10(4):329-334
哈尔滨统计局.2001.哈尔滨市统计年鉴2001.北京:中国统计出版社
哈尔滨统计局.2002.哈尔滨市统计年鉴2002.北京:中国统计出版社
哈尔滨统计局.2003.哈尔滨市统计年鉴2003.北京:中国统计出版社
哈尔滨统计局.2004.哈尔滨市统计年鉴2004.北京:中国统计出版社
哈尔滨统计局.2005.哈尔滨市统计年鉴2005.北京:中国统计出版社
哈尔滨统计局.2006.哈尔滨市统计年鉴2006.北京:中国统计出版社
何伟.2006.耕地资源节约和集约利用的对策研究[J].国土资源导刊.(2):45-46
何佑勇.2007.潜江市耕地集约利用评价研究[J].华中农业大学.30-40
黄裕婕,赵晓丽等.2000.福建省的土地经济评价[J].资源科学.22(3):66-69
姜仁荣,李满春.2006.区域土地资源集约利用及其评价指标体系构建研究[J].地域研究与开发,25(4):118-124
梁荣.1998.提高广东农业产业化水平[N].南方日报.(11):10-11
刘成刚,孙翠兰.2005.当前我国农村土地集约利用存在的问题和对策[J].资源论坛.4:10-11
刘成武,李秀彬.2006.基于生产成本的中国农地利用集约度的变化特征[J].自然资源学报.21(1):9-15
刘彦随,冯德显.2001.三峡库区土地持续利用潜力与途径模式[J].地理研究.(2):15-16
卢良恕.2001.面向21世纪的中国农业科技—与现代农业建设[J].农业经济问题,(9)2-8
吕晓,刘新平.2007.耕地集约利用评价指标体系研究—以新疆为例[J].广东土地科学.,6(3)
马克伟.1991.土地大辞典[M].长春:长春出版社,838
马克思.1975.资本论第3卷[M].北京:人民出版社,760
[美]理查得·T·伊利,爱德华·W·莫尔豪斯著.腾维藻译.1982.土地经济学原理[M].北京:商务印书馆.6620(4):40-43
倪绍祥,刘彦随.1999.区域土地资源配置及其可持续利用[J]农村生态环境.15(2):8-12庞英,张全景等.2004.我国耕地资源利用效益的数量经济分析[J].地理与地理信息科学.
史丽君,张绍良等.2006.基于PSR框架的徐州市城市土地集约利用评价研究[J].国土与自然资源研究,1:4-5
宋戈.2005.中国城镇化过程中土地利用问题研究[J].北京:中国农业出版社,
陶黎新.2005.透视发达国家的现代农业[J].甘肃农业.(6):68
陶志红.2000.城市土地集约利用几个基本问题的探讨[J].中国土地科学.14(5):4-5
王春霞,刘胜.2006.土地集约经营的经济学原理及途径探讨[J].安徽农业科学.34(13):3225-3227
王业侨.2006.节约和集约用地评价指标体系研究[J].中国土地科学.20(3):24-31
吴进明.2005.土地利用模式与农业可持续发展研究[C].资源持续利用与经济持续发展[A].北京:中国林业出版社.267-271
谢正峰.2002.浅议土地的集约利用和可持续利用[J].国土与自然资源研究.(4)31-32
张世文,马素敏.2006.耕地集约节约利用评价方法及应用—以福建省为例[J].安徽农业科学.34(24):6576-6579
张桃林,李忠佩等.2006.高度集约农业利用导致的土壤退化及其生态环境效应[J].土壤学报.43(5):844-850
张文波,陈红艳.2006.使用数据统计分析及SPSS12.0应用[M].人民邮电出版社.202-220
赵本宇,张文秀.2007.新形势下耕地资源集约利用及其评价研究[J].安徽农业科学.35(19)5842-5843
赵其国,周生路等.2006.中国耕地资源变化及其可持续利用与保护对策[J].土壤学报.43(4):662-672
中华人民共和国国家统计局.2006.中国统计年鉴(2006)[M].北京:中国统计出版社.
周炳中,杨浩等.2002.PSR模型及在土地可持续利用评价中的应用[J].自然资源学报.17(5):541-548
David Rhind,Ray Hudson.1980.Land Use[M].London:Methuen.3-11.
FAO.1993.FESLM:An International Framework for Evaluation Sustainable Land Management.World soil Resource Report,73
For natural and managed eeosystems,a synthesis of GCTE and related researeh[R].
Global S.WoodeockC.E.StrahlerA.H.1999.Fuzzy Neural Network Classifieation of Global Land Cover from AVHRR Data Set.Remote Sensing of Environment,67(2)
Lambin E F,Rounsevell M D A,Geist H J.Are agricultural land use models able to predict changes in land use intensity?[J].Agricultural Ecosystem & Environment,2000,82:321-331
Li Xiubin,WangXiuhong.2003.Changes in agricultural land use in China:1981-2000[J].Asian Geogropher,22
Li,G.,S.Rozelle and L.Brandt.1998."tenure,Land rights,and Fanner Investlllent Incentives in China".Agricultural Economics,(19)
Nisar-Alzamed T. R.. , Gopal. K. MurthyJ. S. R. 2000. GIS-based fuzzy membership model for crop-land suitability analysis. Agricultural Systems, 63(2)
Sicat, Rodrigo S., Carranza, Emmanuel Jolm M. : Nidumolu, Uday Bhaskar. 2005. Fuzzy modeling of fanners'knowledge for land suitability classification. AgricultUralSystems. 83 (1)
WalkerB, Steffen W. 1997 . The terrestrial bios phere and global change: Implications for natural and managed eeosystems, a synthesis of GCTE and related researeh[R] . IGSP Science No.1. Stockholm: IGSP.