黑龙江垦区土地资源可持续利用研究

以黑龙江垦区土地资源利用为例，运用统计分析方法，结合土地利用变化幅度和土地利用动态度等分析指标，对黑龙江垦区土地利用现状与动态变化进行分析。在此基础上，提出了黑龙江垦区土地利用中存在的主要问题：耕地面积总量增加，但人均耕地面积下降；土地资源利用效益有待提高；土地质量逐年下降，生态环境趋于恶化；部分农场场址道路建设用地过大，土地浪费现象严重；土地后备资源日益匮乏，开发整理复垦难度大等5个方面，并提出了相关的对策建议。     

区域土地利用的社会效益及其时空特征研究

土地利用的社会效益是社会经济可持续发展的基础。从用地公平、居民生活质量、社会公平和社会保障等四个方面构建土地利用社会效益评价指标体系，采用AHP法、变异系数法和综合评价模型对湛江市土地利用的社会效益进行了评价，并分析了其时空特征。结果表明，1996-2006年湛江市土地利用的用地公平性较高且变化较小，而居民生活质量、社会公平性和社会保障功能都有不同程度的提高，土地利用的社会效益明显增加；2006年土地利用社会效益以遂溪县最高、徐闻县最低。分析了土地利用社会效益的主要影响因素，并提出了相应的对策措施。     

2003—2008年兰州市土地利用变化及其驱动因素研究

土地利用变化的驱动力研究是全球变化研究中的一个重点。以甘肃省兰州市为例,在土地变更详查数据及兰州市统计年鉴资料基础上,研究土地利用变化的特点,分析城镇化、工业化过程中的土地利用变化趋势及土地利用变化驱动因子。运用主成分分析法得到兰州市土地利用变化的主要驱动因子为人口增长、经济发展、农业发展、政府政策。根据研究结果提出土地管理措施,为研究区土地的可持续利用提供依据。     

县级土地利用动态变化及驱动力分析——以郑州市中牟县为例

以郑州市中牟县为例,利用土地详查和统计数据等资料,建立土地利用动态变化模型,分析了中牟县1996-2008年土地利用数量、速度、程度、区域差异等变化,揭示中牟县土地利用变化特征.同时,采用主成分分析法得出城镇化进程和收入水平提高是影响中牟县土地利用变化的主要驱动因素.     

彭州市建设用地集约利用评价

采用主成分分析法,从彭州市土地利用现状出发,对彭州市2004—2007年的建设用地进行了集约利用评价,包括定量分析与集约度水平变化分析,得出了彭州市建设用地集约度较高,集约利用程度从2004年的较适度利用变为2007年的集约利用的结论,并提出相关建议。     

小尺度热点地区土地利用/覆被变化研究--以淮南市为例

利用指数模型方法,从区域土地利用/覆被变化(LUCC)的速度、土地流向、空间结构和土地利用程度等方面对淮南市1996～2003年间土地利用变更数据进行了定量描述和分析,揭示了淮南市土地利用及变化的特征,并针对在工矿和居民点整理复垦、土地利用程度等方面存在的问题提出了相应建议,为实现土地资源的合理利用提供科学依据.     

中国土地利用和土地覆被变化研究进展

受国际社会影响，中国加强了土地利用／覆盖变化研究的进程，在众多领域取得了瞩目的成就，主要包括动态监测、遥感分类和制图、LUCC驱动力和区域LUCC模型、环境效应等方面，但中国LUCC研究也存在很多突出的问题，包括跨学科、时空尺度、理论体系完善、研究方法、与全球和区域环境变化及可持续发展之间的关系等。为促进中国土地利用／覆盖变化研究的持续、健康发展，提出对中国LUCC研究的建议和展望包括建立LUCC理论体系，深入掌握LUCC动态研究的手段和方法，形成与中国国情密切结合的土地利用和覆被变化综合模型，转变研究重点，更加清晰地认识和把握LUCC有关的可持续发展问题，加强土地利用变化与生态安全机制的研究等。     

许昌市土地资源利用结构优化配置研究

土地资源优化配置是城市化进程中面临的主要问题,土地利用结构优化配置是土地利用总体规划的主要内容和基本方法,也是区域经济和社会发展规划的重要依据.在对许昌市土地利用变化分析的基础上,结合当地社会经济发展的需求和有关规划控制指标,借助线性规划模型求解未来许昌市土地利用结构的优化方案,力求提高土地利用的综合效益,实现土地资源永续利用和国民经济持续发展.     

新疆玛纳斯河流域的土地利用与退化问题

玛纳斯河流域山地、平原、沙漠、湖泊俱全，土地利用类型有8个一级类型及40个二级类。20世纪50年代以来，在山前水、土、光热组合优良地区开展大规模水土开发建设，使区内的土地资源得以充分利用，土地开发利用率达40％以上。然而，不合理的土地利用已经导致土地退化，其主要类型有土地荒漠化、耕地土壤贫瘠化、土壤次生盐渍化、土地沙漠化、水土流失、土地污染等6种。据区域土地利用特点与退化类型及原因，提出了合理利用土地与防止土地退化的5条措施，以确保玛河流域土地永续利用与持续发展。     

试论如何实现土地的伦理利用

土地利用伦理机制是可持续土地利用的经济、法律和行政管理措施的重要辅助之一。介绍了土地伦理利用的基本概念，探讨了基本原则，并从土地利用伦理与经济、法律、行政政策、教育手段等角度提出了土地伦理利用的实现途径。     

The dimensions of land use change in rural landscapes: lessons learnt from the GB Countryside Surveys

Rural landscapes are highly dynamic and their change impacts on a number of ecological processes such as the dynamics of biodiversity. Although a substantial amount of research has focused on quantifying these changes and their impact on biodiversity, most studies have focused on single dimensions of land use change. This lack of integration in land use change studies can be explained by the fact that data on the spatial, temporal, and ecological dimensions of land use are seldom available for the same geographical location. In this paper, the benefits of taking into account these three dimensions are illustrated with results derived from the Great Britain Countryside Surveys (CS), a large-scale monitoring programme designed to assess change in the extent and ecological condition of British habitats. The overview of CS results presented in this paper shows that (1) changes in land use composition will translate into a variety of spatial patterns; (2) the temporal stability of land use is often lower than can be expected; and (3) there can be large-scale shifts in the ecological condition of the land use types that form our rural landscapes. The benefits of integrated rural landscape studies are discussed in the context of other national monitoring programmes.     

The Impact of Map and Data Resolution on the Determination of the Agricultural Utilisation of Organic Soils in Germany

Due to its nature, agricultural land use depends on local site characteristics such as production potential, costs and external effects. To assess the relevance of the modifying areal unit problem (MAUP), we investigated as to how a change in the data resolution regarding both soil and land use data influences the results obtained for different land use indicators. For the assessment we use the example of the greenhouse gas (GHG) emissions from agriculturally used organic soils (mainly fens and bogs). Although less than 5 % of the German agricultural area in use is located on organic soils, the drainage of these areas to enable their agricultural utilization causes roughly 37 % of the GHG emissions of the German agricultural sector. The abandonment of the cultivation and rewetting of organic soils would be an effective policy to reduce national GHG emissions. To assess the abatement costs, it is essential to know which commodities, and at what quantities, are actually produced on this land. Furthermore, in order to limit windfall profits, information on the differences of the profitability among farms are needed. However, high-resolution data regarding land use and soil characteristics are often not available, and their generation is costly or the access is strictly limited because of legal constraints. Therefore, in this paper, we analyse how indicators for land use on organic soils respond to changes in the spatial aggregation of the data. In Germany, organic soils are predominantly used for forage cropping. Marked differences between the various regions of Germany are apparent with respect to the dynamics and the intensity of land use. Data resolution mainly impairs the derived extent of agriculturally used peatland and the observed intensity gradient, while its impact on the average value for the investigated set of land-use indicators is generally minor.     

Dueling Land Ethics: Uncovering Agricultural Stakeholder Mental Models to Better Understand Recent Land Use Conversion

The aim of this paper is to investigate how alternative land ethics of agricultural stakeholders may help explain recent land use changes. The paper first explores the historical development of the land ethic concept in the United States and how those ethics have impacted land use policy and use of private lands. Secondly, primary data gathered from semi-structured interviews of farmers, ranchers, and influential stakeholders are then analyzed using stakeholder analysis methods to identify major factors considered in land use decisions, priorities of factors of each group, and to define relevant mental models describing each group’s view of the land ethic concept. Results show that these stakeholder groups prioritize land use factors qualitatively differently and possess strikingly different land ethics. It is concluded that shifts in stakeholder land ethics have contributed to recent land use changes. Lastly, we discuss how current agricultural policy sends mixed signals about preferred land use and the potential ramifications based on the different land ethics we’ve described.     

Inputs of nutrients and fecal bacteria to freshwaters from irrigated agriculture: case studies in Australia and New Zealand

Increasing demand for global food production is leading to greater use of irrigation to supplement rainfall and enable more intensive use of land. Minimizing adverse impacts of this intensification on surface water and groundwater resources is of critical importance for the achievement of sustainable land use. In this paper we examine the linkages between irrigation runoff and resulting changes in quality of receiving surface waters and groundwaters in Australia and New Zealand. Case studies are used to illustrate impacts under different irrigation techniques (notably flood and sprinkler systems) and land uses, particularly where irrigation has led to intensification of land use. For flood irrigation, changes in surface water contaminant concentrations are directly influenced by the amount of runoff, and the intensity and kind of land use. Mitigation for flood irrigation is best achieved by optimizing irrigation efficiency. For sprinkler irrigation, leaching to groundwater is the main transport path for contaminants, notably nitrate. Mitigation measures for sprinkler irrigation should take into account irrigation efficiency and the proximity of intensive land uses to sensitive waters. Relating contaminant concentrations in receiving groundwaters to their dominant causes is often complicated by uncertainty about the subsurface flow paths and the possible pollutant sources, viz. drainage from irrigated land. This highlights the need for identification of the patterns and dynamics of surface and subsurface waters to identify such sources of contaminants and minimize their impacts on the receiving environments.     

Downscaling climate change scenarios in an urban land use change model

The objective of this paper is to describe the process through which climate change scenarios were downscaled in an urban land use model and the results of this experimentation. The land use models (Urban Growth Model [UGM] and the Land Cover Deltatron Model [LCDM]) utilized in the project are part of the SLEUTH program which uses a probabilistic cellular automata protocol. The land use change scenario experiments were developed for the 31-county New York Metropolitan Region (NYMR) of the US Mid-Atlantic Region. The Intergovernmental Panel on Climate Change (IPCC), regional greenhouse gas (GHG) emissions scenarios (Special Report on Emissions Scenarios (SRES) A2 and B2 scenarios) were used to define the narrative scenario conditions of future land use change. The specific research objectives of the land use modeling work involving the SLEUTH program were threefold: (1) Define the projected conversion probabilities and the amount of rural-to-urban land use change for the NYMR as derived by the UGM and LCDM for the years 2020 and 2050, as defined by the pattern of growth for the years 1960-1990; (2) Down-scale the IPCC SRES A2 and B2 scenarios as a narrative that could be translated into alternative growth projections; and, (3) Create two alternative future growth scenarios: A2 scenario which will be associated with more rapid land conversion than found in initial projections, and a B2 scenario which will be associated with a slower level of land conversion. The results of the modeling experiments successfully illustrate the spectrum of possible land use/land cover change scenarios for the years 2020 and 2050. The application of these results into the broader scale climate and health impact study is discussed, as is the general role of land use/land cover change models in climate change studies and associated environmental management strategies.     

Trade-off analysis in the Northern Andes to study the dynamics in agricultural land use

In this paper we hypothesize that land use change can be induced by non-linearities and thresholds in production systems that impact farmers' decision making. Tradeoffs between environmental and economic indicators is a useful way to represent dynamic properties of agricultural systems. The Tradeoff Analysis (TOA) System is software designed to implement the integrated analysis of tradeoffs in agricultural systems. The TOA methodology is based on spatially explicit econometric simulation models linked to spatially referenced bio-physical simulation models to simulate land use and input decisions. The methodology has been applied for the potato-pasture production system in the Ecuadorian Andes. The land use change literature often describes non-linearity in land use change as a result of sudden changes in the political (e.g. new agricultural policies) or environmental setting (e.g. earthquakes). However, less attention has been paid to the non-linearities in production systems and their consequences for land use change. In this paper, we use the TOA system to study agricultural land use dynamics and to find the underlying processes for non-linearities. Results show that the sources of non-linearities are in the properties of bio-physical processes and in the decision making-process of farmers.     

FORECASTING FUTURE LAND USE FOR WATERSHED ASSESSMENT1

ABSTRACT: Protecting surface water quality in watersheds undergoing demographic change requires both the management of existing threats and planning to address potential future stresses arising from changing land use. Many reservoirs and threatened waterbodies are located in areas undergoing rapid population growth, and increases in density of residential and commercial land use, accompanied by increased amount of impervious surface area, can result in increased pollutant loading and degradation of water quality. Effective planning to address potential threats, including zoning and growth management, requires analytical tools to predict and compare the impacts of different management options. The focus of this paper is not on developing demographic projections, but rather the translation of such projections into changes in land use which form the basis for assessment of future watershed loads. Land use change can be forecast at a variety of spatial and temporal scales. A semi-lumped, GIS-based, transition matrix approach is recommended as consistent with the level of complexity achievable in most watershed models. Practical aspects of forecasting future land use for watershed assessment are discussed. Several recent reservoir water supply projection studies are used to demonstrate a general framework for simulating changes in land use and resulting impacts on water quality. In addition to providing a technical basis for selecting optimal management alternatives, such a tool is invaluable for demonstrating to different stakeholder groups the trade-offs among management alternatives, both in terms of water quality and future land use patterns within the watershed.     

Estimating the effects of urban residential development on water quality using microdata

In this study, we examine the impact on water quality of urbanization using disaggregate data from Wake County, North Carolina. We use a unique panel data set tracing the conversion of individual residentially zoned land parcels to relate the density of residential development and the change in residential land use to three measures of water quality. Using a spatial econometrics model, we relate spatially and temporally referenced monitoring station readings to our measures of residential land use while controlling for other factors affecting water quality. We find that both the density of residential land use and the rate of land conversion have a negative impact on water quality. The impacts of these non-point sources are found to be larger in magnitude than those from urban point sources.     

构建土地利用规划环境影响评价的指标体系

20世纪90年代中期,土地科学界和生态学界曾提出:"无论将土地作为生产性利用还是非生产性利用,都会形成一种干扰,使生态环境的不确定性增大,从而降低土地利用规划的科学性和合理性".在这一背景条件下,尝试性地按照土地利用类型对其所带来的环境变化影响与效应进行了分析,并在此基础上构建土地利用规划环境影响评价指标体系及可采用的评价方法.     

LAND USE FUNCTION IN WATER QUALITY MANAGEMENT1

ABSTRACT. The Nation has entered a new era of water quality management in which land use policy and regulation must assume an increasingly important role. The benefits of tertiary and advanced waste treatment may be offset by contradictory land use and pollution from land runoff. Unless land use planning and controls are included in water quality management, land-imposed constraints on water quality can be anticipated. Pollution from major types of land runoff are reviewed with respect to sources, effects, and control procedures. Emphasis is given to land use practices and controls. The crucial issue with regard to the latter is lack of land use policies at federal, state, and local levels. State legislation establishing guidelines and minimum standards for land use regulation by local government is required. The dependency of water quality on land use points to the fallacy of attempting to provide for comprehensive water pollution control outside the context of comprehensive land-water resource planning and management.