摘要
农业多功能是指除了供应食物或纤维之外来自农业的其它非商品性效用,如调节生态环境、保障食物安全、促进乡村繁荣和增加出口创汇等。这种多功能特征不仅决定着区域经济的持续稳定增长,而且对于国民经济和社会的协调发展,以及生态环境的调节与维护具有重要的作用。从20世纪90年代以来,农业多功能的理论、方法与实践的探索受到国际组织、政府部门和学术界的广泛关注。欧美、澳洲、东亚、东南亚许多国家和地区在区域农业多功能的类型、价值及政策方面的研究取得了丰硕的成果。省级农业功能分区是全国农业功能区划工作的基础和具体实施方案,其核心任务是根据省域土地资源和农业发展的特点,以及农业功能的地域分异规律,进行科学的农业功能定位,并以适当的农业政策保障其实施。农业功能分区成果的应用,对于规范现代农业发展的空间秩序,构建新型农业产业体系,全面实施新农村建设和城乡统筹发展,以及实现区域经济和环境协调发展都具有十分重要的意义。本文采用多元统计与地理信息系统(GIS)空间分析相结合以解决多源数据融合问题的方法,进行农业功能的空间结构分析与分区研究。研究区域湖北省是位于中国中部地区的一个省份,其土地资源复杂多样,农业发展基础较好,农业多功能的类型齐全,在全国省级农业功能分区中具有代表性。
本文运用宏观生态系统的观点重新审视农业的内涵,对农业多功能的形成机制和多功能统筹进行系统分析。农业多功能的形成受一定的自然基础与社会经济背景制约。作为一个集自然、社会、经济于一体的复杂控制生态系统,农业的多功能具有原生性。早期农业以保障社会必需的大宗农产品供应和农民自身生存需求为主要目的;随着国际国内经济和贸易环境的变化,区域农业的多功能日益凸显;多功能给农业和农村发展也注入了新的活力。由于农业功能存在区际差异性,同时区域内农业的多种功能之间存在对立统一的矛盾关系,因而必须实行区际和区内的多功能统筹规划,即需要有统一的农业功能分区规划。
在湖北省农业功能的实证分析中,本文运用多元统计、GIS的空间统计和地图叠加工具等方法,对湖北省农业多功能的特征、空间结构及分区进行研究。分区以县级行政区域为研究单元。基本数据以农业功能分区县域和地级市调查数据为基础,包括与农业多功能相关的50项县域指标和4项地级城市指标,数据时段是2004-2007年。现状数据根据2008年湖北省统计年鉴、2008年湖北省土地利用公报作出更新,行政区划数据依据2010年湖北省湖北省行政区划调整方案。针对调查数据的不足,本研究在空间分析中新增了湖北省DEM数据、湖北省土地利用图和湖北省交通图等地图数据。在农业功能的空间结构分析中,本文首次把多元统计和GIS的空间分析工具相结合,用于多种来源数据的整理、加工。首先对农产品供应、就业与社会保障、生态调节和休闲4大类功能的空间结构进行分析并分等,在此基础上通过地图叠加进行农业功能分区。
空间结构分析的主要结论包括:(1)农产品供应功能分析把农业综合优势指数和主要农产品优势指数的空间自相关结合起来讨论。研究表明,湖北农产品综合供应能力具有明显的空间集聚特征,具体表现为江汉平原北缘和鄂北岗地区是高值区的集聚,鄂西北呈显著或较显著的低值集聚;主要农产品的分析表明的其供应各自呈现不同的空间集聚特征,具有明显的地域性。(2)就业与保障功能分析选择人均耕地面积、农业所需劳动力、农业富余劳动力、农业人口占总人口比重和农业收入占农村总收入比重等指标进行空间自相关分析。研究表明,湖北农业就业与保障功能较强的县市主要分布于耕地资源丰富、人口密度高的江汉平原东部和湖北东部沿江平原地区;城市地区对于吸纳周围农业劳动力转移存在一定的空间。(3)生态调节功能以湖北省土地利用图和DEM数据为基础,通过土地利用、DEM和行政区划的地图叠加,对江汉平原、鄂中丘陵与鄂北岗地、鄂东北与鄂东南低山丘陵、鄂西山区的土地利用景观格局,耕地结构及其坡度特征进行分析;并建立耕地优势度和破碎度计算方法,以分析农业生态调节的地域性和稳定性特征。结果表明,湖北省生态调节功能以耕地优势度高、地块稳定性好的江汉平原、汉江中游河谷和鄂东沿江平原最强,其次是鄂北岗地、鄂东北和鄂东南低山丘陵山区;鄂西山区耕地优势度和地块稳定性均较差,但三峡河谷、鄂西南山区和丹江口库区生态防护功能尤为重要。(4)农业休闲功能分析,以武汉(或武汉-黄石)、襄阳、宜昌和荆州等大城市的50km和100km辐射区为主,讨论了湖北农业休闲空间范围、交通状况和资源等空间结构特征。在此基础上,运用k-means聚类或地图叠加法对于四大类功能分别作出分等。
在单项农业功能分等的基础上,按照区域相关性原则、可持续发展原则、相对一致性原则、主导功能原则、县域行政区域完整性原则等分区原则,运用地图叠加法进行农业功能分区。结果分为大宗农产品供给、特色农产品供给与就业保障、生态调节与防护、大城市周边休闲4个主导功能区。为提高分区方案的可操作性,本研究新增了二级分区,即结合地理位置、地形地貌特征及其主要农产品类型,进一步分为10个二级分区。
农业功能分区方案的实施和推广应用,将会有力地推动湖北农业和农村社会经济的持续发展,促进湖北在中部崛起中率先实现区域协调和城乡统筹发展。而其实施不仅是对传统产业经济观念的变革,而且与政府和许多非农业部门有着密切的联系,因而必须要有相应的保障措施。本文从强化农业产业政策、完善财政支持和市场融资机制、实行以农业部门为主多部门协调的管理体制以及转变政府职能完善政绩考核制度等方面讨论了这些措施。
Agricultural multi-function is defined as, in addition to producing food and fiber, agriculture may produce a range of other non-commodity utilities such as regulating eco-environment, assuring food security, contributing to rural viability, and increasing the export income, etc. This feature not only decides the sustained and steady growth of regional economy, and is significant to the coordinated development of national economy and society, and the regulation and maintenance of eco-environment as well. The exploration about the theoretical, methodological, and practical studies of agricultural multifunction are widely concerned among the international organizations, government departments and academia since the1990s. A number of results about the type, value and policy of regional agricultural multi-function have been researched in many countries or regions from Europe, America, Australia, East Asia, and Southeast Asia. Regionalization of agricultural functions at a provincial level is the fundamental work and realization scheme of national regionalization. And its core missions are scheme out scientific orientation of regional agricultural functions based on the features of land resource and agricultural development and spatial distribution pattern, and making proper agricultural policies to guarantee the implementation of the scheme. Application of the regionalization results will be significant for regional development, such as regulating the space order of modern agriculture development, establishing a new agricultural industry system, generally implementing the construction of new rural countryside and harmonious urban-rural development, as well as realizing the regional coordinated development of economy and environment. This paper attempts to use a method which integrates multivariate statistics with GIS spatial analysis and aims to give a solution of multi-source data fusion. Hubei, the studying area, is a central China province which own richness and variety of land resources, relatively sound agricultural foundation, and multiple functional agriculture, so its agricultural functional regionalization is representative for similar provinces.
Through a macro-ecosystem view over the inner feature of agriculture, this paper systematically analyzes about the formation mechanism and unified planning of agricultural multifunction. Agricultural multifunction is formed under some special natural basis and social-economic background. Agriculture, as a complex and regulated ecosystem which combined nature and society with economy together, has its own objectively existing multifunction. At the early period, the main purposes of agriculture are to ensure the supplication of major farm produce necessary for the society and the farmers'existence need. But regional agricultural multifunction is increasingly concerned along with the great change of national economy and international trade circumstances, and the improvement of regional urbanization. In itself, the development of farm and rural also requires the new life breathed from multifunction. Agricultural multifunction have inter-regional differences, and the composite of various functions in an inner region is a unity of contradictions among those functions, so it is necessary to implement unified planning of agricultural multifunction. That is, a unified regionalization of agricultural functions is needed.
In the empirical analysis of Hubei's agricultural functions, the paper analyzes the characteristics, space structure and regionalization of agricultural multifunction by the use of statistics, spatial statistics and map overly tools of GIS. The analysis unit is county-level. The analytical data is mainly based on the survey over county-level and city-level, covering fifty county indices and four city indices. The periods of survey data are from2004to2007. Some present data are updated according to Hubei statistical yearbook2008and Hubei land use communique. Hubei administrative division is also updated. In view of the deficiency of the survey data, this analysis adds some map data, including Hubei DEM data, Hubei land use map, and Hubei traffic map in the spatial analysis. In the spatial structure analysis of agricultural functions, this analysis is the first to use the combination of multivariate statistics with GIS spatial analysis tools in order to integrating and processing the various data from different sources. At first, the data are sorted and processed to analyze the spatial structure and the rating of four types of agricultural functions which are agricultural produce supplying, employment security, ecological regulatory, and leisure. And then, the regionalization of agricultural functions is achieved with map overlay method based on the rating of each function.
In spatial structure analysis, some main conclusions are as follows.(1) The analyses of agricultural produce supplying function are accomplished with spatial autocorrelation of the agricultural comprehensive advantages index and the superiority indices of main agricultural products. It is shown that Hubei agricultural comprehensive supply capacity has obvious characteristics of spatial agglomeration. High values are performed local clusting at the north of Jianghan Plain and the hills of northern Hubei, and low values are significantly clusting at northwest of Hubei. The analysis of main agricultural products shows that their supplications present different spatial clusting characteristics respectively and regionalism is distinct.(2) The analyses of employment and security function are accomplished with spatial autocorrelation by the use of some relative indices such as cultivated land area per capita, agricultural labor capacity, agricultural surplus labor, the proportion of agricultural population in the total population, and the proportion of agricultural income in the rural revenue. The results show that agricultural employment and security capacity is stronger mainly at the counties of the eastern Jianghan Plain and the eastern Hubei along Yangtze River where the cultivated land resources are rich and the population is dense; Urban areas has certain space for absorbing agricultural labor transfer from the surrounding areas.(3) The ecological regularity function is analyzed based on Hubei land use map and DEM data. Through overlay of land use map, DEM and administrative division map, the whole province is divided into four types of region, that is, Jianghan Plain, the hills of central and northern Hubei, and the low hilly land northeast and southeast Hubei, and the mountain area of western Hubei. Their landscape pattern of the land use, cultivated land structure and characteristics of the land-sloping are analyzed respectively. The calculation method of dominances and fragmentation of cultivated land are established in order to analysis the block stability and regional characteristics of the agricultural ecological regularity. The results show that the ecological regulating function is strongest at Jianghan Plain, the middle reaches valley of Hanjiang River, and the eastern Hubei along Yangtze River where the cultivated land dominances are higher and the block stabilities are well. The second stronger areas are the hills of northern Hubei, and the low hilly land northeast and southeast Hubei. The third areas are distributed at the Three Gorges Volley, southwestern Hubei, and Danjiangkou Reservoir Area where some large water complex require rigid ecological protection while farmers reclaim.(4) The analyses of agricultural leisure function are mainly based on the large city such as Wuhan (or Wuhan-Huangshi), Xiangyang, Yichang and Jingzhou. In the leisure zones of each large city whose radiation radii are50km and100km from the center of a city, the spatial structure features of the agricultural leisure space scopes, the traffic conditions and the resources are discussed. On the basis of the study mentioned above, the paper achieves the rating results for the four types of agricultural function respectively using k-means clustering or map overlay method.
Complying with some regionalization principles, such as, relating between regions, sustainable development, relative consistency, dominant features, maintain integrity of county administrative region, the scheme of agricultural functions regionalization in Hubei is achieved which is based on the rating results of agricultural functions by the use of map overlay method. The whole province is divided into four dominant functional regions, which are primary agricultural products supply, special products supply and employment and social security, ecological regulation and protection, leisure surrounding large city. To ensure the schemes can be implemented operatively, a secondary partition program is added. In accordance with the location, terrain characteristics and the type of primary agricultural products, the four dominant functional regions are further divided into ten partitions.
The application and extension of agricultural functions regionalization program will vigorously accelerate the sustainable development of agriculture and rural social-economy, promote Hubei to achieve the leading development of regional and rural-urban coordination in the upsurge of central China. However, the successful implementation of the program must be ensured under a series of policies and supporting approaches. Because it is needed for people to change their traditional view on industry economics to adapt themselves to the function extension, the transformation is closely linked to government functions and many non-agricultural sectors. Finally, this article discusses the grantee measurements from several aspects, such as strengthening the agricultural industrial policy, consummating the mechanisms of financial support and market financing, establishing a management system of multi-department coordination, transforming the government functions, and improves government performance appraisal system.
引文
1.卞斐,刘勇,马履一,贾黎明.北京市森林公园游憩带空间特征分析.西北林学院学报,2011,26(3):204-208
2.曹俊杰,徐俊霞.日本和韩国农业多功能性理论与实践及其启示.中国水土保持,2006,(6):18-22
3.陈秋珍,Sumelius J.国内外农业多功能性研究文献综述.中国农村观察,2007,(3):71-79
4.陈锡文.《21世纪农业的新使命:多功能农业》序.中国发展观察,2007, (7):60-61
5.戴玲.搞活农村经济的出路在于农业功能的创新.生产力研究,2003,(1):39-41
6.董景奎,魏善元,罗文敏.贵州农业多功能性实证研究.山地农业生物学报,2008,27(1):52-55
7.杜鹰.日本的农业政策改革及其启示.中国农村经济,2000,(12):63-70
8.冯忠民,张兴平,吕芳,丁新法.水稻田在农业环境保护中的特殊功能.中国稻米,2005,(2):5-6
9.弗里德里希·李斯特.政治经济学的国民体系.陈万熙译.北京:商务印书馆,1961,44-48
10.傅伯杰.渭北旱原农业生态区划及农业生产合理结构的初步研究.生态学报,1985,5(3):195-203
11.谷中原.农村发展的农业多功能研究.湖南农业大学博士论文,武汉:湖北大学图书馆,2007:54-56
12.顾吾浩,朱志良.都市农业功能转换研究.上海农村经济,2003,(8):9-12
13.郭洪海,姚慧敏,杨丽萍,孙肖青,杨萍,王勇,张维战.山东省农业功能区划研究.中国农业资源与区划,2010,31(2):81-86
14.郭怀成,周丰,刀谓.地统计方法学研究进展.地理研究,2008,27(5):1193-1202
15.郭克莎.中国工业化的进程、问题与出路.中国社会科学,2000, (3):60-71
16.郭晓燕,胡志全.农业的多功能性评价指标初探.中国农业科技导报,2007,9(1):69-73
17.韩晓文.当前农村发展非农产业中的问题与对策研究.长沙铁道学院学报(社会科学版),2009,10(1):136-138
18.何君,冯剑.中国农业发展阶段特征及政策选择——国际农业发展“四阶段论”视角下的比较分析.中国农学通报,2010,26(19):439-444
19.湖北省农业区划委员会.湖北省农业资源与综合农业区划.武汉:湖北科学技术出版社,1993,13-25
20.黄飞鸣.基于农业多功能性看我国农业的可持续发展.乡镇经济,2005, (8):32-34
21.黄韬,胡军.论自然保护区建设与社区发展的关系.农村经济,2007, (5):40-42
22.贾聪敏,张妮妮,周淑娥.从拓展农业功能视角对现代农业发展的思考.青岛农业大学学报(社会科学版),2007,19(3):27-30
23.贾良清,欧阳志云,赵同谦,王效科,肖焱,肖荣波,郑华.安徽省生态功能区划研究.生态学报,2005,25(2):254-260
24.姜俊红,金玲,朱朝荣,路玉杰.农业活动对农田生态系统物种多样性的影响.中国农学通报.2005,21(7):385-387
25.金国峰.城市农业的功能冲突及解决路径.理论学刊,2006, (3):50-52
26.雷鸣.日本观光农业旅游经济的发展及启示.商业时代,2009, (2):93-94
27.李洪庆,刘黎明.现代城郊农业的功能定位及其评价研究.生态环境学报,2010,19(6):1428-1433
28.李俊岭.东北农业功能分区与发展战略研究.中国农业科学院博士论文,2009:35-46
29.李树德,李瑾,黄学群,孙国兴.天津沿海都市型现代农业功能区划及发展重点研究.中国农业资源与区划,2008,29(3):36-41
30.李铜山.论农业多功能性及我国的发展方略.重庆社会科学,2007,(5):13-16
31.李兴稼.北京山区生态农业的功能定位、模式与评价指标体系.北京社会科学,2005,(1):41-45
32.李燕燕,王璐,文燕茹,樊冀琳.福州环城游憩带旅游地类型与空间结构特征.环境科学与管理,2008,33(9):6-8
33.练炳维,王松林.海南农业功能区划研究.中国农业资源与区划,2011,32(3):75-80
34.刘军萍,荣文艿.北京都市型现代农业的定位与优势条件的耦合分析.中国农业资源与区划,2005,26(6):50-53
35.刘卫东,石承苍,任国业.四川省农业功能区划研究.中国农业资源与区划,2008,29(3):27-32
36.刘湘峰,姚庆筱,邓心安.生物经济时代与农业功能的演变.科学对社会的影响,2005,(1):10-13
37.刘勇.农业生态调节功能主导区划分中的问题分析.生态经济,2009,(10):109-112
38.卢兵友,王如松,张壬午.农田生态系统种群结构多样性与系统微环境的关系.生态学杂志,2001,20(2):5-7
39.吕连宏,刘淑春,王薇,陈袁袁,张征。空间信息统计学在环境科学领域的应用进展.地质灾害与环境保护,2005,16(2):194-198
40.吕耀,谷树忠,王兆阳.农业多功能性与国际农产品贸易政策改革.经济地理,2004,24(6):838-841
41.罗其友,高明杰,陶陶.农业功能统筹战略问题.中国农业资源与区划,2003,24(6)25-29
42.罗其友,唐华俊,陶陶,周振亚,唐曲,张晴.我国农业功能的地域分异与区域统筹定位研究.农业现代化研究,2009,30(5):519-523
43.罗其友,陶陶,姜文来,唐曲,李建平,高明杰.我国东北地区农业功能区划研究.农业现代化研究,2005,26(6):407-412
44.罗其友,陶陶,高明杰,米健.农业功能区划理论问题思考.中国农业资源与区划,2010,31(2): 75-80
45.马晓河.1996-2010年我国经济发展中的农业问题.中国农垦经济,1997,(9):3-7
46.孟宪民,崔保山,邓伟,吕宪国.松嫩流域特大洪灾的醒示:湿地功能的再认识.自然资源学报,1999,14(1):14-21
47.倪洪兴.农业多功能性与非贸易关注.世界农业,2000,(11):3-5
48.农业部软科学委员会课题组.中国农业发展新阶段,北京:中国农业出版社,2000:20-25
49.欧阳志云,王如松,赵景柱.生态系统服务功能及其生态经济价值评价.应用生态学报,1999,10(5):635-640
50.欧阳志云,王效科,苗鸿.中国陆地生态系统服务功能及其生态经济价值的初步研究.生态学报,1999,19(5):607-613
51.彭羽,于静丽.我国财政支农存在的问题及对策研究.北方经济,2009,(9):3-4
52.皮立波.现代都市农业的理论和实践研究.西南财经大学博士论文,武汉:湖北大学图书馆,2001:85-92
53.邵彦敏.欧盟在农业多功能性问题上的立场及我国的对策.经济纵横,2007,(3):62-64
54.石言波.21世纪我国农业功能定位初探.江西农业经济,1999,(1):5-15
55.时培建,戈峰,杨清培.栖息地永久性破坏的比例对物种多度稳定值影响的迭代算法.生态学报,2011,31(15):4327-4333
56.史舟,金辉明,李艳,李洪义.地统计软件包的开发及在土壤空间变异中的应用.水土保持学报,2005,19(5):170-173
57.世界贸易组织秘书处.乌拉圭回合协议导读.索必成,胡盈之译,北京:法律出版社,2001,52-55
58.孙茂辉,睦向阳.日本《新食科·农业·农村基本法》的历史透视与经济分析.世界经济文汇,2000,(1):13-17
59.陶陶,罗其友.农业的多功能性与农业功能分区.中国农业资源与区划,2004,25(1)45-49
60.田维明.农业多功能性对中国和世界农业发展的含义.见:秦富,王秀清,辛贤主编.WTO与中国农业和农村发展,北京:中国农业出版社,2002,82-89
61.王慧.日本农业法体系的变化.农业经济问题,2001,(6):62-63
62.王尚明,胡继超,吴高学等.亚热带稻田生态系统C02通量特征分析.环境科学学报,2011,3](1):217-224
63.王威,杨丹妮,方志权.日本多功能性农业对我国都市农业的启示.社会科学,2005,(3):37-40
64.王勇,骆世明.农业生态服务功能评估的研究进展和实施原则.中国生态农业学报,2008,16(1):212-216
65.鸟东峰,谷中原.论现代多功能农业.求索,2008, (2):1-6
66.吴必虎,伍佳,党宁.旅游城市本地居民环城游憩偏好.人文地理,2007,22(2):27-31
67.吴秀芹,龙花楼,高吉喜,潘英姿.江汉平原湿地功能下降与洪涝灾害关系分析.生态环境,2005,14(6):884-889
68.熊毅,祝寿泉,王道亲.黄淮海平原生态区划.土壤学报,1981,18(1):1-10
69.熊毅.生态区划在农业现代化中的重要意义.土壤,1980,(6):201-203
70.徐玮,赵媛.南京环城游憩带旅游地类型与空间结构分析.安徽农业科学,2007,35(25):7921-7923
71.严火其,沈贵银.农业功能新论.南京农业大学学报(社会科学版),2006,6(4):1-5
72.杨继瑞.都市农业探析.粮食问题研究,1999, (4):20-35
73.杨坚.在全国部分省(区、市)农业功能区划研讨会上的讲话,中国农业资源与区划,2007,28(6):1-5
74.杨丽.生态系统服务及价值评估的研究进展.淮阴师范学院学报(哲学社会科学版),2001,5(23):624-628
75.杨楠,倪洪兴.WTO农业谈判中的非贸易关注问题.中国农村经济.2005,(10):78-80
76.杨万江,徐星明.农业现代化测评.北京:社会科学文献出版社.2001,26-55
77.杨鑫,朱俊林,陈敏,邓梅娥,朱亩文.湖北省生态调节功能评价分析.湖北农业科学,2010,49(4):994-998
78.叶少荫.我国农业功能的转换与构建农业产业新体系.福建农林大学学报(哲学社会科学版),2003,6(4):28-31
79.尹飞,毛任钊,傅伯杰,刘国华.农田生态系统服务功能及其形成机制.应用生态学报2006,17(5):929-934
80.曾菊新.湖北省生态环境系统优化调控初探.华中师范大学学报(自然科学版),2002,36(3):361-364
81.张嗥.贸易自由化进程中的农业多功能性.兰州大学学报(社会科学版),2005,33(3):93-98
82.张慧文,马剑英,张自文,孙涛,吕光辉.地统计学在土壤科学中的应用.兰州大学学报(自然科学版),2009,45(6):14-27
83.章家恩,饶卫民.农业生态系统的服务功能与可持续利用对策探讨.生态学杂志,2004,23(4):99-102
84.张晓涛,倪洪兴.农产品贸易自由化进程中的非贸易关注问题.国际贸易问题,2004,(1):37-39
85.张燕丽.北京郊区都市农业功能的探讨.中国农村经济,1996,(10):48-52
86.赵华甫,张凤荣.北京市农业景观格局变化及功能区划.农业工程学报,2008,24(Supp):78-84
87.赵荣钦,杨浩,黄爱民,秦明周.农田生态系统服务功能及其评价方法研究.农业系统科学与综合研究,2003,19(4):267-270
88.郑晶,黄森慰,苏时鹏.福建农业功能区划研究.中国农学通报,2010,26(8):381-388
89.郑有贵.农业功能拓展:历史变迁与未来趋势.古今农业,2006,(4):1-10
90.中国农业区划委员会,中国农业资源与区划成果编纂委员会.中国农业资源与区划成果.北京:测绘出版社,1987,1-25
91.周灿芳.我国区域农业规划研究进展.广东农业科学,2010,(6):301-305
92.周升起.农产品国际贸易生态经济效益研究.山东农业大学博士论文,武汉:湖北大学图书馆,2005:45-52
93.朱广其.工业化过程中农业现代化变迁缓慢的原因与对策.农业现代化研究,2000,21(1):53-56
94.朱俊林,蔡崇法,杨波,揭珊.基于星座图法的湖北省农业功能分区.长江流域资源与环境,2011,20(6):666-671
95.朱启荣,闫国宏,王胜利.贸易自由化进程中的农业多功能性问题.国际贸易问题,2003,(6):20-24
96. Agus F, Irawan I, Suganda H, Wahyunto W, Setiyanto A, Kundarto M. Environmental multifunctionality of Indonesian agriculture. Paddy Water Environment,2006, (4):181-188
97. Agus F, Watung R L, Suganda H, Tala'ohu S H, Wahyunto, Sutono, Setiayanto A, Mayrowani H, Nurmanaf R, Kundarto M. Assessment of environmental multifunctions of rice paddy farming in Citarum River Basin, West Java, Indonesia. In:Evaluation of Multifunctionality of Paddy Farming and its Effects in ASEAN Countries Based on Country Case Studies. ASEAN Secretariat and Ministry of Agriculture, Forestry and Fisheries of Japan,2005:109-134
98. Akiyma T, Larson D F. Rural development and agricacltural growth in Indonesia, Philippines and Thailand. Asia Pacific Press 2004:1-67
99. Anderson K. Agriculture's multifunctionality and the WTO. Australian Journal of Agricultural Resources Economics,2000,44:475-494
100. Anderson K and Ernesto V. Do global trade distortions still harm developing country farmers?. Review of World Economics,2007,143:108-139
101. Balram S, Dragicevic S, Feick R. Collaborative GIS for spatial decision support and visualization. Journal of Environment Management,2009,90:1963-1965
102. Basic F, Bogunovic M, Bozic M, Husnjak S, Juric I, Kisic I, Mesic M, Mirosevic, Romic D, Zugec. Regionalisation of Croatian agriculture. Agriculturae Conspectus Scientificus,2007,72 (1):27-38
103. Baumga S, Quaas M F. Managing increasing environmental risks through agrobiodiversity and agrienvironmental policies. Agricultural Economics,2010,41:483-496
104. Bekefi E, Varadi L. Multifunctional pond fish farms in Hungary. Aquaculture International,2007, 15:227-233
105. Berman Y, Phillips D. Indicators of social quality and social exclusion at national and community level. Social Indicators Research,2000,50(3):329-350
106. Berke O. Exploratory spatial relative risk mapping. Preventive Veterinary Medicine,2005, 71(3-4):173-182
107. Bihu W, Liping A C. Spatial modeling:Suburban leisure in Shanghai. Annals of Tourism Research,2006,33(1):179-198
108. Bills N, Gross D. Sustaining multifunctional agricultural landscapes:Comparing stakeholder perspectives in New York (US) and England (UK). Land Use Policy,2005,22(4):313-321
109. Boody G, Vondracek B, Andow D A, Krinke M, Westra J, Zimmerman J, Welle P. Multifunctional agriculture in the United States. BioScience,2005,55:27-38
110. Brunstad R J, Gaasland I, Vardal E. Multifunctionality of agriculture:an inquiry into the complementarity between landscape preservation and food security. Euroup Review Agricultural Economics,2005,32:469-488
111. Castano S, Sanz D, Gomez-Alday J J. Methodology for quantifying groundwater abstractions for agriculture via remote sensing and GIS. Water Resources Management,2010,24(4):795-814
112. Chang H, Boisvert R N. Accounting for geographic heterogeneity of multifunctional rice policy in Taiwan. Paddy and Water Environment,2006,4(4):229-234
113.Chiayu Y, Haab T C, Sohngen B L. Modeling multiple-objective recreation trips with choices over trip duration and alternative sites. Environmental and Resource Economics,2006,34(2): 189-209
114. Clark W C, Dickson N M. Sustainability science:the emerging research program. Proceedings of the National Academy of Science,2003,100(14):8059-8061
115. Clark W C. Sustainability science:A room of its own. Proceedings of the National Academy of Science,2007,104:1737-1738
116.Cocklin C, Dibden J, Mautner N. From market to multifunctionality? Land stewardship in Australia. Geographical Journal,2006,172:197-205
117. Cooper J. Global agricultural policy reform and trade. Washington:Edwand Elgar Publishing Limited,2004:1-9
118. Costanza R, d'Arge R, de Groot R, Grasso M, Hannon B, Limburg K, Naeem S, O'Neil R V, Parvelo J, Raskin R G, Sutton P, van den Belt M. The value of the world's ecosystem service and nature capital. Nature,1997,387:253-260
119. Covello V T, Frey R S. Technology-based environmental health and safety risks in developing nations. Technological Forecasting and Social Change,1990,37:159-179
120. Cretegny L. Modelling the multifunctionality of agriculture in a CGE framework. International Conference on Policy Modeling, Brussels, Belgium, July,2002:2-4
121. Daily G C. Nature services:societal dependence on natural ecosystems. Washington:D C Island press.1997:135-143
122. Daily G C, Ehrlich P R. Population, sustainability and earth's carrying capacity. BioScience, 1992,42:71-76
123. de Groot R S, Alkemade R, Braat L, Hein L, Willemen L. Challenges in integrating the concept of ecosystem services and values in landscape planning, management and decision-making. Ecological Complexity,2010,7:260-272
124. Deelstra T, Girardet H. Urban agriculture and sustainable cities. Growing cities, growing food: urban agriculture on the policy agenda, A reader on urban agriculture,2000:43-65
125. Deuffic P, Candau J. Farming and landscape management:How French farmers are coping with the ecologization of their activities. Journal of Agricultural & Environment Ethics,2006,19: 563-585
126. DeVries B. Multifunctional agriculture in the international context:a review. The Land Stewardship Project, October,2000. http://www.landstewardshipproject.org/mba/MFA Review.pdf:2-6
127. DIMA. Australia's Population Trends and Prospects 1996. Canberra:Australian Govt. Pub. Service,1997:46-55
128. Faggi A, Dadon J. Temporal and spatial changes in plant dune diversity in urban resorts. Journal of Coastal Conservation,2011,15(4):585-594
129. Fan S, Chan-Kang C. Returns to investment in less-favored areas in developing countries:a synthesis of evidence and implications for Africa. Food Policy,2004,29(4):431-444
130. FAO Natural Resources Management and Environment Department. Taking stock of the multifunctional character of agriculture and land. FAO/Netherlands Conference on the Multifunctional Character of Agriculture and Land, Maastricht,1999:33-36
131. FAO Regional office for Asia and Pacific. Rapid growth of selected Asian economies:Lessons and implications for agriculture and food security, China and India. Bangkok:RAP Publicatiaon, 2006:51-55
132. FAO Regional office for Asia and Pacific. Rapid growth of selected Asian economies:Lessons and implications for agriculture and food security, Republic of Korea, Thailand and Viet Nam. Bangkok:RAP Publicatiaon,2006:65-75
133. Fu B, Liang D, Lu N. Landscape Ecology:coupling of pattern, process, and scale. Chinese Geographical Science,2011,21(4):385-391
134. Fu C, Yu G. Estimation and spatiotemporal analysis of methane emissions from agriculture in China. Environmental Management,2010,46(4):618-632
135.Gafsi M, Nguyen G, Legagneux B, Nguyen G, Legagneux B, Robin P. Sustainability and multifunctionality in French farms:analysis of the implementation of territorial farming contracts. Agriculture and Human Values,2006,23(4):463-475
136. Getis A, Ord J K. Local spatial statistics:an overview in longpeds, spatial analysis. Cambridge: Geoformation international,1996,261-277
137. Gordon Irene M. Nature function. New York:Spinger-verlag.1992:86-112
138. Hafner S. Trends in maize, rice and wheat yields for 188 nations over the past 40 years:a prevalence of linear growth. Agriculture, Ecosystems and Environment.2003, (97):275-283
139. Hammitt W E, Knauf L R, Noe F P. A comparison of user vs. researcher:determined level of past experience on recreation preference. Journal of Leisure Research,1989,21(2):202-213
140. Binswanger-Mkhize H P, McCalla A F. The changing context and prospects for agricultural and rural development in Africa. Rome, Italy:International Fund for Agricultural Development,2009: 55-62
141.Hansford P, Cary J, Coath E. Sustainable agribusiness:Developing local solutions to global challenges in the regional agribusiness sector in Australia. Cancun, Mexico:World Food and Agribusiness Symposium 2003,2003:6-8
142. Horton D, Akello B, Aliguma L, Bernet T, Devaux A, Lemaga B, Magala D, Mayanja S, Sekitto I, Thiele G, Velasco C. Developing capacity for agricultural market chain innovation experience with the PMCA in Uganda. Journal of Internationa Development,2010,22:367-389
143. Jankowski P. Integrating geographical information systems and multiple criteria decision-making methods. International Journal of Geographical Information Systems,1995,9:251-273
144. Jordan N R, Slotterback C S, Cadieux K V, Mulla D J, Pitt D G, Olabisi L S, Kim J. TMDL implementation in agricultural landscapes:A communicative and systemic approach. Environmental Management,2011,48(1):1-12
145. Jordan N, Warner K. Enhancing the multifunctionality of US agriculture. BioScience,2010,60: 60-66
146. Khosla R, Inman D, Westfall D G, Reich R M, Frasier M, Mzuku M, Koch B, Hornung A. A synthesis of multi-disciplinary research in precision agriculture:site-specific management zones in the semi-arid western Great Plains of the USA. Precision Agriculture,2008,9(1-2):85-100
147. Kim S, Dale B E. Life cycle assessment of various cropping systems utilized for producing biofuels:bioethanol and biodiesel. Biomass & Bioenergy,2005,29:426-439
148. Klijn J A, Vullings L A E,v. d. Berg M, van Meijl H, van Lammeren R, van Rheenen T, Tabeau A A, Veldkamp A, Verburg P H, Westhoek H, Eickhout B. The EURURALIS stuy:Technical document. Wageningen, The Netherlands:Alterra-rapport 1196,2005:36-45
149. Klimek S, Kemmermann A, Steinmann H, Freese J, Isselstein J. Rewarding farmers for delivering vascular plant diversity in managed grasslands:a transdisciplinary case-study approach. Biological Conservation,2008,141:2888-2897
150. Kucharik C J. Evaluation of a process-based agro-ecosystem model (Agro-IBIS) across the US Corn Belt:simulations of the interannual variability in maize yield. Earth Interactions,2003, 7:1-33
151. Lamb H H. A critical problem. Nature,1972,237(5):53-54
152. Lamb R. The Extent and Form of Exurban Sprawl. Growth and Change.1983,14(1):40-47
153. Landefeld J S, McCulla S H. Accounting for non-market household production within a national accounts framework. Review of Income & Wealth,2000,46(3):289-307
154. Lane B. Sustainable rural tourism strategies:A tool for development and conservation. Rural Tourism Unit, Department for Continuing Education, University of Bristol, UK. Co-Editor: Journal of Sustainable Tourism.1999,1-213
155. Larson D M, Shaikh S L. Empirical specification requirements for two-constraint models of recreation choice. American Journal of Agricultural Economics,2001,83(2):428-440
156. Lew D K, Larson D M. Accounting for stochastic shadow values of time in discrete-choice recreation demand models. Journal of Environment and Economics Management,2005, 50(2):341-361
157. Lichtenberg E. Some hard truths about agriculture and the environment. Agricultural Resources Economics Review,2004,33(1):24-33
158. Lieber S R, Fesenmiaier D R. Recreation planning and management. Lodon:E&FN Spon Ltd, 1983:103-179
159. Losada H. Urban agriculture in the metropolitan zone of Mexico:changes over time in urban, suburban and peri-urban areas. Environment and Urbanization,1998,10(2):37-54
160. Macgregor C J, Cary J W. Social/human capital rapid appraisal model (SCRAM):a method of remotely assessing social and human capacity in Australian rural communities. Rural Society, 2002,12(2):105-122
161. Mallawaarachchi T, Morrison M D, Balmey R K. Choice modeling to determine the significance of environmental amenity and production alternatives in the community value of peri-urban land: Sunshine Coast, Australia. Land Use Policy,2006,23(3):323-332
162. Mander U, Helming K, Wiggering H. Multifunctional land use:meeting future demands for landscape goods and services. Multifunctional Land Use, New York:Springer-Verlag Berlin Heidelberg,2007,93-104
163. Mander U, Maddison M, Soosaar K, Karabelnik K. The impact of pulsing Hydrology and fluctuating water table on greenhouse gas emissions from constructed wetlands. Wetlands, DO1: 10.1007/s13157-011-0218-z
164. Marsh G P, Lowenthal D. Man and nature. New York:University of Washington Press,1864: 48-55
165. McConnell K E, Strand I. Measuring the cost of time in recreation demand analysis:an application to sportfishing. American Journal of Agricultural Economics,1981,63:153-156
166. Mellor J W. The economics of agricultural development. NewYork:Cornell University Press, 1967:212
167. Muthuwatta L P, Ahmad Mobin-ud-Din, Bos M G, Rientjes T H M. Assessment of water availability and consumption in the Karkheh River Basin, Iran-Using Remote Sensing and Geo-statistics. Water Resources Management,2010,24(3):459-484
168. Nursyamsi D, Sulaeman, Suryadi M E, Berelaka F G. Wells nitrate content in Citarik and Kaligarang watersheds. In:Proceedings of the national seminar on the multifunction of paddy fields. Pusat Penelitian dan Pengembangan Tanah dan Agroklimat, Bogor,2001:103-109
169. OECD. Multifunction:Towards an analytical framework, Paris:CEDEX,2001,11:6-7
170. Otte A, Simmering D, Wolters V. Biodiversity at the landscape level:Recent concepts and perspectives for multifunctional land use. Landscape Ecology,2007,22(5):639-642
171. Palmquist R B, Phaneuf D J, Smith V K. Short run constraints and the increasing marginal value of time in recreation. Environmental and Resource Economics,2010,46(1):19-41
172. Pazos G E, Bertiller M B. Spatial patterns of the germinable soil seed bank of coexisting perennial-grass species in grazed shrublands of the Patagonian Monte. Plant Ecology,2008, 198(1):111-120
173. Peng J, Wang Y, Wu J, Shen H, Pan Y. Research progress on evaluation frameworks of regional ecological sustainability. Chinese Geographical Science,2011,21(4):496-510
174. Peterson J R, Boisvert R N, de Gorter H. Environmental policies for a multifunctional agricultural sector in open economies. Europe Review of Agricultural Economics,2002, 29:127-142
175. Pickett S, Cadenasso M, Grove J. Biocomplexity in coupled natural-human systems:A multidimensional framework. Ecosystems,2005,8:225-232
176. Porter J R. Context, Location, and Space:The continued development of our geo-sociological Imaginations. The American Sociologist,2011, (3):1-15
177. Portes A. Social capital:Its origins and applications in modern sociology. Annual Review of Sociology,1998,24,1-24
178. Prandl-Zika V. From subsistence farming towards a multifunctional agriculture sustainability in the Chinese rural reality. Journal of Environmental Management,2008,87(2):236-248
179. Qin Y, Liu S, Guo Y, Liu Q, Zou J. Methane and nitrous oxide emissions from organic and conventional rice cropping systems in southeast China. Biology and Fertility of Soils,2010, 46(8):825-834
180. Rezaei-Moghaddam K, Karami E. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability,2008,10(4): 407-426
181. Robertson G P, Dale V H, Doering O C, Hamburg S P, Melillo J M, Wander M M, Parton W J, Adler P R, Barney J N, Cruse R M, Duke C S, Fearnside P M, Follett R F, Gibbs H K, Goldemberg J, Mladenoff D J, Ojima D, Palmer M W, Sharpley A, Wallace L, Weathers K C, Wiens J A, Wilhelm W W. Agriculture-sustainable biofuels redux. Science,2008,322:49-50
182. Robertson G P, Swinton S M. Reconciling agricultural productivity and environmental integrity: a grand challenge for agriculture. Frontiers in Ecology and the Environment,2005, (3):38-46
183. Rowe R L, Street N R, Taylor G. Identifying potential environmental impacts of large-scale deployment of dedicated bioenergy crops in the UK. Renewable and Sustainable Energy Reviews, 2009,13:271-290
184. RuB G, Brenning A. Data mining in precision agriculture:Management of spatial information. Lecture Notes in Computer Science,2010,6178:350-359
185. Scheffran J, BenDor T. Bioenergy and land use:A sptial-agent dynamic model of energy crop production in Illinois. International Journal of Environment and Pollution,2009,39:4-27
186. Seeberg-Elverfeldt C. Carbon finance possibilities for agriculture, forestry and other land use projects in a smallholder context. Rome:Micca,2010:45-48
187. Sharma T, Carmichael J, Klinkenberg B. A spatially explicit modeling approach to explore scenarios of sustainable agriculture futures. Journal of the Indian Society of Remote Sensing, 2005,33(2):353-363
188. Shaw D W, Michael T O. Modeling overnight recreation trip choice:application of a repeated nested multinomial logit model. Environmental and Resource Economics,1999,13(4):397-414
189. Smith V K, Desvousges W, McGivney M. The opportunity cost of travel time in recreation demand models. Land Economics,1983,59:259-278
190. Spiertz J H J, Ewert F. Crop production and resource use to meet the growing demand for food, feed and fuel:opportunities and constraints. NJAS-Wageningen Journal of Life Sciences,2009, 56:281-300
191. Stafford J V, Ambler B, Lark R M, Catt J. Mapping and interpreting the yield variation in cereal crops. Computers and Electronics in Agriculture,1996,14(2-3):101-119
192. Stemerding M, Oppewal H, Timmermans H. A constraints-induced model of park choice. Leisure Science,1999,21(2):145-158
193. Strebelle S. Conditional simulation of complex geological structures using multiple-point statistics. Mathematical Geology,2002,34(1):1-21
194. Swinton S M, Lupi F, Robertson G P, Hamilton S K. Ecosystem services and agriculture: cultivating agricultural ecosystems for diverse benefits. Ecological Economics,2007,64: 245-252
195. Tallis H, Polasky S. Mapping and valuing ecosystem services as an approach for conservation and natural-resource management. Annals of the New York Academy of Sciences,2009, (1162): 265-283
196. Trawinski P R, Mackay D S. Spatial autocorrelation of West Nile virus vector mosquito abundance in a seasonally wet suburban environment. Journal of Geographical Systems,2009, 11(1):67-87
197. Tsai S, Wann J. Selecting functional forms for empirical economic model-the case of Taiwan rice production function. Taiwanese Agricultural Economics Review,1995,1(2):187-216
198. UNCTAD. Assessing the global food crisis:Key trade, investment and commodity policies in ensuring sustainable food security and alleviating poverty. Geneva:UNCTAD/OSG/2008/1, 2008:5-6
199. Viglizzo E F, Pordomingo A J, Castro M G, Lertora F A. Environmental assessment of agriculture at a regional scale in the pampas of argentina. Environmental Monitoring and Assessment,2003,87(2):169-195
200. Wackernagel H. Geostatistical techniques for interpreting multivariate spatial information, in Chung C F, Fabbri A G, Sinding-Larsen R, eds. Quantitative analysis of mineral and energy resources, Hingham, MA:D. Reidel Publishing Co,1988:393-409
201. Wartenberg D. Spatial autocorrelation as a criterion for retaining factors in ordinations of geographic data. Mathematical Geology,1985,17(7):665-682
202. Wiersum K F, Elands B H M, Hoogstra M A. Small-scale forest ownership across Europe: Characteristics and future potential. Small-Scale Forest Economics, Management and Policy, 2005,4(1):1-19
203. Christensen W F, Amemiya Y. Generalized shifted-factor analysis method for multivariate geo-referenced data. Mathematical Geology,2001,33(7):801-824
204. Xu X, Lin H, Hou L, Yao X. An assessment for sustainable developing capability of integrated agricultural regionalization in China. Chinese Geographical Science,2002,12(1):1-8
205. Zamboni A, Shah N, Bezzo F. Spatially explicit static model for the strategic design of future bioethanol production systems. Energy and Fuels,2009,23:5121-5133
206. Zhang M, Wang K, Liu H, Zhang C. Responses of spatial-temporal variation of karst ecosystem service values to landscape pattern in northwest of Guangxi, China. Chinese Geographical Science,2011,21(4):446-453
207. Zhang R, Kent G. Human rights and the governance of food quality and safety in China. Asia Pacific Journal of Clinical Nutrition,2004 13 (2),178-183
208. Zhou Y, Shi T, Hu Y, Gao C, Liu M, Fu S, Wang S. Urban green space planning based on computational fluid dynamics model and landscape ecology principle:A case study of liaoyang city, northeast China. Chinese Geographical Science,2011,21(4):465-475