土地利用集约度的测度方法

针对土地利用集约度测度混乱的状况,文章从投入指标还是产出指标、实物指标还是价值指标、综合测度 还是分项测度、单纯测度还是复合测度以及初级集约度还是次级集约度测度等五个方面,辨析了土地利用集约度 的概念,评价了各种测度方法的特点和应用范围。认为土地集约利用或粗放利用,本身不是土地利用的目标,是实 现土地合理利用的两种基本途径。其本质是资源的替代。把土地集约利用定义为用资本和劳动来替代土地资源的 现象,使集约度变化与用途转换这两种土地利用变化类型联系起来。提出从土地利用变化研究的角度出发,土地利 用集约度的基本测度指标应为单位时间单位土地面积上的资本和劳动的投入数量, 产出指标只可以作为代用指 标。从土地利用变化研究需求的角度,对土地集约度指标的选择提出了建议。     

Underlying motivation for land use change: A case study on the variation of agricultural factor productivity in Xinjiang, China

Understanding the driving forces and mechanism of land use change is a key issue in land change science, and has received much attention over the past 30 years. While many driving forces have been identified, the mechanism of land use change is still unclear, mainly because of limited knowledge of the underlying motivation for land use change. Traditionally, the underlying motivation for land use change was ascribed to people＇s pursuit of satisfying their own demands or that of profit maximization. However, those theoretical hypotheses combine all productive factors without highlighting certain predominant factor, in this paper, a case study was conducted on the variation of land productivity, capital productivity and labor productivity in agricultural land use in Xinjiang Uygur Autonomous Region of China. The case study revealed that only labor productivity presented a long-term increasing trend in regional cotton and grain production. This result implies that people＇s pursuit of increasing labor pro- ductivity is probably the underlying motivation for land use change. Additional details identi- fied in agricultural and non-agricultural land use in China support the above implication. As labor productivity is a determinant of people＇s living standards, increasing labor productivity means improving people＇s living standards. Therefore, it is concluded that land use change results from people＇s pursuit of increasing labor productivity in a changing environment.     

产权变化视角下的珠江三角洲土地利用 时空变化及其机制——以佛山市南海区为例

以佛山南海区为例,采用遥感、土地利用调查及土地利用现状图等多种数据,运用遥感影像人机交互解译、景观格局指数以及田野调查、案例分析等定量与定性相结合的方法,分析了1987年以来南海区土地利用时空变化及其对土地产权变革的响应。结果发现,南海区土地产权变化分为3个阶段：即土地有偿投包制阶段（1987-1992年）、土地股份合作制阶段（1993-2002年）和土地紧缩及“三旧”改造政策下的政府主导模式阶段（2003-2013年）,这3个阶段土地产权的演化具有以土地的“所有”为中心向以“利用”为其中心转变的趋势,这是市场需求和资源利用高效化发展的结果,也是土地由资源转变为资产及资本的过程。南海区土地产权变化与土地利用时空变化具有较为显著的关联性及规律性。土地利用在不同时段变化的速度、强度和结构等对土地产权变化的响应明显,其空间格局也同样呈现“农用地集聚-乡村工业化破碎格局-集聚与破碎化共存”3个阶段性变化特征。南海区土地利用变化是众多内外部因素综合作用的结果,主要表现为诱致机制、引导机制、引擎机制及调节机制。宏观上,土地股份制改革和分散的管理体系导致了土地利用的粗放扩张和破碎化格局;微观上,不同土地利用主体间的利益博弈、土地收益分配方式及产权割裂是导致土地利用变化的根本原因。未来经济转型与土地再开发过程中,如何针对土地产权变化新趋势,兼顾各利益相关方的诉求,构建利益共享机制是实现土地高效利用和空间优化的关键。     

Status of land use intensity in China and its impacts on land carrying capacity

Land use intensity quantifies the impacts of human activities on natural ecosystems, which have become the major driver of global environmental change, and thus it serves as an essential measurement for assessing land use sustainability. To date, land-change studies have mainly focused on changes in land cover and their effects on ecological processes, whereas land use intensity has not yet received the attention it deserves and for which spatially-explicit representation studies have only just begun. In this paper, according to the degree and reversibility of surface disturbance by human activities, there are four main classes of land use intensity: artificial land, semi-artificial land, semi-natural land, and natural land. These were further divided into 22 subclasses based on key indicators, such as human population density and the cropping intensity. Land use intensity map of China at a 1-km spatial resolution was obtained based on satellite images and statistical data. The area proportions of artificial land, semi-artificial land, semi-natural land, and natural land were 0.71%, 19.36%, 58.93%, and 21%, respectively. Human and economic carrying capacity increased with the increase of land use intensity. Artificial land supports 24.58% and 35.62% of the total population and GDP, using only 0.71% of the total land, while semi-artificial land supported 58.24% and 49.61% of human population and GDP with 19.36% of China’s total land area.     

土地利用变化及其生态响应综述

1 IntroductionLand use change,as one ofthe m ain driving forces ofglobalenvironm entalchange,is centraltothe sustainable developm ent debate (Figure 1).The types of land use are distinguished as landcover conversion,i.e.,the com plete replacem ent of one …     

Land use change and its corresponding ecological responses: a review

This paper reviews the research on land use change and its corresponding ecological responses. Patterns of land use changes in spatio-temporal level are produced by the interaction of biophysical and socio-economic processes. Nowadays, the studies derived from different socioeconomic conditions and scales show that at short-term scale, human activities, rather than natural forces, have become a major force in shaping the environment, while biophysical factors control the trends and processes of land use change under the macro environmental background. Providing a scientific understanding of the process of land use change, the impacts of different land use decisions, and the ways that decisions are affected by a changing environment and increasing ecological variability are the priority areas for research: (1) explanation of scale dependency of drivers of land use change; (2) quantification of driving factors of land use change; (3) incorporation of biophysical feedbacks in land use change models; and (4) underlying processes and mechanisms of ecological impacts of land use change.     

Continuity and change: Spatiotemporal land use dynamics on Bellona Island, Solomon Islands

Traditional agricultural land use systems in the humid tropics of the Southwest Pacific are, as elsewhere, affected by globalization processes. This paper analyzes the directions of change in the land use system of Bellona, a small outer island in the Solomon Islands. We focus on the human–environmental interaction that shapes land use patterns and practices in the context of theoretical lines of thought concerning intensification of agricultural systems in the tropics. Aerial photography from 1966 and satellite imagery from 2006 in conjunction with studies from the 1960s and a contemporary household survey reveal only minor changes in the agricultural system. Land use and land cover dynamics are related to agricultural strategies, demographic factors, institutional actors as well as biophysical drivers or constraints. Local agricultural production still contributes significantly to local subsistence but imported food has also become a major food source. Hence, land use has become partially disconnected from the local population pressure and therefore remains relatively stable while the larger livelihood portfolio has undergone significant diversification. At present, the agricultural system is a supplement to a range of strategies supporting the increasing number of people on the island. This explains why land use patterns continue relatively unchanged while livelihood and food supply strategies have changed.     

土地利用变化的内在动力——新疆地区农业生产要素产出效率的变动趋势分析

土地利用变化的动力因子和动力机制是土地科学研究的核心问题。这一问题近30年来得到前所未有的关注,相关研究成果不断涌现,但是这些成果主要关注自然因子和社会经济因子等外在因素,却没有充分重视土地利用变化中蕴含的内在目标和由此派生的内在动力,客观上导致土地利用变化动力机制研究一直难以深入。本文以新疆地区为案例区,以土地、资本和劳动等生产要素生产效率变化为切入点,利用趋势拟合方法,分析了区域土地利用变化过程中要素产出效率的变动规律。结果显示,无论是近10年还是近30年区域棉花生产中,以及近30年区域粮食生产中,只有劳动生产率呈长期增长趋势。这一结果意味着人们对劳动生产率的追求可能是土地利用变化的内在动力。据此,进一步讨论了人们追求劳动生产率增长的原因及其与追求利润最大化等目标的关系,提出了"土地利用变化是人们在变化环境下不断追求劳动生产率增长的结果"这样一个观点。     

中国土地利用时空特征分析

在遥感技术与GIS技术的支持下，对中国近5年来土地利用的时间动态特征和空间动态特征进行了定量分析。具体表现为通过数学建模，利用土地利用动态度模型、土地利用程度模型、垦殖指数模型等对土地利用时空特征进行了分析。研究结果表明：5年间中国土地利用类型发生变化比较大的区域主要分布在东部和北部地区，特别是东北部地区土地利用类型变化比较剧烈，而西部变化相对缓慢；土地利用各类型中面积增加的有耕地、水域、建设用地和未利用地，而林地、草地面积减少；耕地增加的区域位于东北部地区，特别是黑龙江省耕地面积增加最多；林草地以及未利用地的面积变化主要发生在新疆、内蒙和黑龙江等地区，其它地区变化幅度相对较小。     

农用地集约利用变化与经济增长的动态计量分析——以新疆拜城县为例

农用地集约利用程度直接关系到区域土地的可持续利用,与区域社会经济发展密切相关,科学量化评价农用地集约利用变化过程及其与经济增长之间的动态关系,对于农业可持续发展有着重要的意义。利用新疆拜城县1978-2010年时间序列数据,通过构建农用地集约利用评价指标体系,在对原始数据进行标准化的基础上,采用熵值法确定各指标权重,利用多因素综合评分法对历年农用地集约利用水平进行测度与分析,然后利用协整检验、Granger因果检验、脉冲响应函数及方差分解模型考察农用地集约利用指数与农民人均纯收入水平之间的内在联系。研究发现：改革开放以来,拜城县的农用地集约利用水平逐步提高,农用地投入强度、利用程度、产出效率和持续状况对农用地集约利用水平的贡献率呈现出各自的变化特征。农用地集约利用指数是农民人均纯收入水平的格兰杰原因,而农民人均纯收入水平不是农用地集约利用指数的格兰杰原因,脉冲响应和方差分解的结果表明,随着农用地集约利用指数的提高,农民人均纯收入水平将不断加强。