Mapping land cover changes in Mexico, 1976–2000 and applications for guiding environmental management policy

Land use conversion typically implicates deforestation and fragmentation of primary land cover types, which invariably translates into impoverishment of both natural and cultural capital. Understanding where conversion is taking place crucially underpins sound environmental policy instruments to prevent these enormous social and economic costs. This paper examines 30 years of semi‐detailed (1:250 000) land cover mapping in Mexico. Pre‐existing analogue databases describing land cover patterns in the 1970s and 1990s were reviewed, corrected, reorganized and transformed into a digital format. Current land cover patterns were depicted by conducting updated reinterpretation on Landsat ETM+ imagery. Digital cartographic overlaying was performed and the results were used to construct a spatially explicit land use/land cover change (LULCC) database with an additional accuracy assessment procedure. The value of the results of this analysis is also seen in the light of their direct applications for identifying critical watershed trends, for guiding the allocation of financial funds for sound land use planning and for assessing the effectiveness of established protected areas. This effort highlights the importance of new and more effective geographical approaches to depict, understand and contribute to informed measures to mitigate ongoing negative trends in land cover and climatic changes.     

山区土地利用/覆被变化对土壤侵蚀的影响

本文以福建省山区为例,在对福建省水土保持实验站、建瓯市牛坑龙水土保持试验站长期观测、实验资料深入分析对比的基础之上,探讨了土地利用/土地覆被变化对土壤侵蚀的影响规律。分析结果表明,土地利用/土地覆被变化对径流的产生和土壤侵蚀有重要影响,植被的覆盖度的变化直接影响着径流系数和土壤侵蚀模数;植被的覆盖度和径流系数呈负线性关系,随着覆盖度的增加径流系数逐渐减小;植被覆盖度和土壤侵蚀模数为负指数关系,随着植被覆盖度的增大,土壤侵蚀模数急剧下降。     

土地利用/覆盖变化空间变异特征与遥感影像空间分辨率的选取——以北京地区为例

遥感数据为土地利用/覆盖变化提供了海量数据来源,如何选择合适空间分辨率的遥感影像进行特定地区的土地利用/覆盖变化研究,成为土地利用/覆盖变化研究的一个重要内容。地统计学方法已经广泛应用与遥感图像处理以及土地覆盖分类研究中,但应用于土地利用/覆盖变化的研究还比较缺乏。北京地区为研究区,运用遥感和地统计分析方法对该区土地利用/覆盖变化的空间结构的变异特征和合理的遥感影像数据源的选取问题做了初步探讨。研究表明地统计学方法能够揭示土地利用/覆盖变化的空间变异特征,有助于选择有效的遥感影像数据进行不同地区的土地利用/覆盖变化分析。     

土地利用变化对水城盆地岩溶水水质的影响

The influence of land use and land cover on ecological environment is a focus of global change research. The paper chooses an industrial city-Shuicheng in Guizhou Province-as a study area because the karst water quality around the city is deteriorating with land use and land cover change.The natural susceptibility of karst water system is an important factor leading to karst water pollution.But land use and land cover change is also a main factor according to the chemical analysis of karst water quality and land use change. So it is a good way to protect karst water through rational planning and managing of land use and land cover.     

The influence of land use change on karst water quality of Shuicheng Basin in Guizhou Province

The influence of land use and land cover on ecological environment is a focus of global change research. The paper chooses an industrial city-Shuicheng in Guizhou Province-as a study area because the karst water quality around the city is deteriorating with land use and land cover change. The natural susceptibility of karst water system is an important factor leading to karst water pollution. But land use and land cover change is also a main factor according to the chemical analysis of karst water quality and land use change. So it is a good way to protect karst water through rational planning and managing of land use and land cover.     

1987-2006年北方13省土地利用/覆盖变化驱动力分析

以北方13省为研究区,利用主成分分析与逐步多元回归分析方法,分析了研究区土地利用/覆盖变化的驱动机制.结果表明:(1)由于地域差异的原因,各个子区域中土地利用/覆盖类型变化的驱动因子有所不同;(2)社会经济要素是研究区土地利用/覆盖变化的主导驱动因子,尤其是人口因素发挥着重要作用;(3)气温、降水等自然因子对区域土地利用/覆盖变化也具有一定的制约作用,主要表现在东北和西北等受自然要素限制较为突出的地区.政策驱动因子在研究中没有得到反映,但不难判定国家生态环境政策无疑也对区域土地利用/覆盖的变化起到了非常重要的作用.     

Rural sustainability under threat in Zimbabwe – Simulation of future land use/cover changes in the Bindura district based on the Markov-cellular automata model

Spatially explicit land use/cover models are indispensable for sustainable rural land use planning, particularly in southern African countries that are experiencing rapid land use/cover changes. Using Zimbabwe as an example, we simulated future land use/cover changes up to 2030 based on a Markov-cellular automata model that integrates Markovian transition probabilities computed from satellite-derived land use/cover maps and a cellular automata spatial filter. A multicriteria evaluation (MCE) procedure was used to generate transition potential maps from biophysical and socioeconomic data. Dynamic adjustments of transition probabilities and transition potential map thresholds were implemented in the Markov-cellular automata model through a multi-objective land allocation (MOLA) procedure. Using the normalised transition probabilities, the Markov-cellular automata model simulated future land use/cover changes (up to 2030) under the 2000 calibration scenario, predicting a continuing downward trend in woodland areas and an upward trend in bareland areas. Future land use/cover simulations indicated that if the current land use/cover trends continue in the study area without holistic sustainable development measures, severe land degradation will ensue.     

Present land use and cover patterns and their development potential in North Ningxia

With the objectives to acquire the fundamental data of the territorial resource, understand the impacts of human activities on the land use and cover patterns and evaluate the potential of the future exploitation, an intensive land cover classification with an accuracy of 93% has been completed for North Ningxia by remote sensing technique based on the adoption of a combination method composed of texture training, maximum likelihood classification and post-processing such as re-allocation and aggregation. This classification result was incorporated with the contemporaneous socio-economic and meteorological data for cross-sectional regression modelling to reveal the spatial determinants of the land cover patterns and understand the human-environmental relationships. A tentative evaluation on the potential of soil exploitation in the near future was carried out in combination with our land use and cover change detection results aiming at supplying some useful references for the central and local governments in their sustainable land use planning.     

基于多期数据集的中亚五国土地利用/覆盖变化分析

针对目前中亚地区土地利用变化和分布格局方面的信息相对匮乏,现有资料较为陈旧且零散,无法满足中亚生态与环境变化研究需求的现状,利用全球的UMD, DISCover,GLC2000,GlobCover2005和GlobCover2009的5期土地覆被遥感数据集,提取中亚地区长时间序列土地覆被信息。并针对上述4个土地覆被分类系统无法进行直接对比和变化分析的问题,分别将其综合为4类土地覆被类型：耕地、自然植被、水体和其他,以分析近30 a中亚土地利用/土地覆被变化趋势。中亚土地利用类型多样,草地、裸地、农田、灌丛占绝对优势。自前苏联解体以后,20世纪90年代初至2000年期间,耕地面积大幅度减少,至2010年尽管有所恢复,但仍无法达到20世纪90年代初水平。而自然植被表现出了相反的趋势,这说明在此时间段内,由于社会政治制度的变化和市场经济的建立,耕地发生了较大规模的弃耕,弃耕地通常转换为草地、灌丛等自然植被。近10 a由于社会经济条件的变化,前苏联解体后所弃耕的土地又被收复和重新开发为耕地。90年代初至2000年期间,水体呈现先减少后增加的趋势。利用全球基于多期不同信息源获得的中亚土地覆被数据,尽管分类体系不统一,但均可较好地表征当时地表覆被状况。这在一定程度上弥补了中亚地区土地覆被数据不足的现状。通过对耕地、自然植被、水体及其他土地覆被类型进行大类合并,可基本体现中亚土地覆被的宏观特征和变化趋势。     

基于Multi-Agent System的多尺度土地利用变化模型的构建与模拟

通过土地利用情景变化模型反映多尺度的土地利用现象,是学者们研究的焦点问题。本文基于MAS理论,构建从地块到村庄的多尺度土地利用变化模型,揭示微观层面不同尺度上土地利用变化的机制。应用该模型,以陕西省米脂县孟岔村为例进行研究,定量分析该村农户个体、农户群体和农户整体等不同尺度上的土地利用决策,并通过与2008年实际土地利用变化数据对比和分析,对构建的多尺度土地利用变化模型进行检验。通过分析,认为:(1)基于MAS的多尺度农户土地利用变化模型可较好地反映微观土地利用决策和空间的多尺度变化;(2)构建用 连续数值表示的农户土地利用决策与实际状况比较符合;(3) 本文为不同农户群体间的转化方法、农户间相互作用,以及市场与政策因素的作用等方面的研究打下坚实的基础。     

远程耦合视角下的土地利用/覆被变化解释

传统的土地利用覆被/变化驱动力研究在很大程度上并未充分考虑远距离相互作用的影响,对全球化世界中由远距离相互作用驱动的土地利用/覆被变化日益缺乏解释力。鉴于此,本文旨在将远程耦合（Telecoupling）理论框架引入到土地利用/覆被变化的动力机制研究中来。在概述土地利用/覆被变化驱动力研究的基础上,从驱动力背景的变化出发,切入远程耦合框架的介绍,并基于此给出远距离相互作用驱动土地利用/覆被变化的经验证据;认为远程连接、全球化和城市化是远距离相互作用驱动土地利用/覆被变化的3种主要形式;进而提出建立“时—空—事”三位一体的土地利用/覆被变化解析路径、土地利用/覆被变化的近远程驱动力分解和基于网络的跨系统综合研究是土地利用覆被/变化驱动力研究中应用远程耦合框架的重点内容。     

村域尺度土地利用现状分类体系的构建与应用 ——以山东禹城牌子村为例

随着LUCC到GLP研究的不断深入,我国空心村土地整治实践的相继推进,以及高分辨率遥感数据的陆续产生,深入开展村域尺度的土地利用调查与评价研究具有迫切现实需求,而构建村域尺度土地利用现状分类体系则是支撑村庄土地利用用地调查与评价的重要前提与关键。参考《土地利用现状分类》国家标准(GB/T21010-2007),构建了基于0.25m分辨率中科高清遥感影像的村域尺度土地利用现状分类体系,并在山东省禹城市牌子村进行了实际应用。构建的基于高分辨率遥感影像的土地利用现状分类体系,不仅准确反映了牌子村的土地利用结构及其用地特征,而且还测算出该村所具备的土地资源整治潜力,取得了良好的实际应用效果。基于0.25m高分辨率遥感数据所构建的村域土地利用现状分类体系有据可依,简单易行,成果明确。研究成果可直接为我国村庄特别是空心村土地综合整治潜力的调查与评价提供技术方法的有益参考和有力支持。     

Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization

This study evaluates land use/cover changes and urban expansion in Greater Dhaka, Bangladesh, between 1975 and 2003 using satellite images and socio-economic data. Spatial and temporal dynamics of land use/cover changes were quantified using three Landsat images, a supervised classification algorithm and the post-classification change detection technique in GIS. Accuracy of the Landsat-derived land use/cover maps ranged from 85 to 90%. The analysis revealed that substantial growth of built-up areas in Greater Dhaka over the study period resulted significant decrease in the area of water bodies, cultivated land, vegetation and wetlands. Urban land expansion has been largely driven by elevation, population growth and economic development. Rapid urban expansion through infilling of low-lying areas and clearing of vegetation resulted in a wide range of environmental impacts, including habitat quality. As reliable and current data are lacking for Bangladesh, the land use maps produced in this study will contribute to both the development of sustainable urban land use planning decisions and also for forecasting possible future changes in growth patterns.     

Land use Changes vis-à-vis agricultural development in Southeastern Burkina Faso: the field expansion dilemma

The paper deals with land use changes in semi arid Burkina Faso, specifically the issue of field encroachment on extensively used land. Some theoretical perspectives of field expansions in agricultural production systems characterised by crop-livestock interaction are discussed with reference to Boserup's theories on intensification. The empirical part provides documentation for the land use patterns and practices, based on aerial photos from 1978 and 1994 and village surveys. Answers are sought to some of the key questions presented by the ‘land use land cover change community’, i.e.: how has ‘land cover been changed by human land use?’—how do immediate human and biophysical dynamics affect the sustainability of specific types of land uses?—and how do land uses and land covers affect the vulnerability of land users in the face of change? Based on the findings, the paper proposes the notion of the expansion dilemma which questions the theory that agricultural expansion should always be perceived as a forerunner of intensification.     

面向空心村综合整治的农村土地资源配置探析

如何通过空心村综合整治实现农村土地资源的合理配置,是构建城乡发展一体化新格局所要面对和解决的重大问题。本文通过梳理空心村整治和农村土地资源配置的概念内涵,明晰了新型城镇化、乡村重构、空心村整治和农村土地资源配置之间的内在关联;根据不同空心村整治类型例证了农村土地资源配置模式,并提出面向空心村整治的农村土地资源配置的市场化及制度保障措施。结果表明：空心村整治的实质是实现以农村土地要素为载体的要素有序流动及其优化配置,乡村重构和空心村整治互为理论依据和推动途径,空心村整治和新型城镇化互为重要内容和研究背景,新型城镇化和乡村重构则互为政策推力和实现方法;对应于空心村综合整治途径,将农村土地资源配置分为城乡一体型、中心社区型和就地改良型3种模式;当前需要发挥市场对农村土地资源配置的决定性作用,重点改革土地征收制度、土地承包经营权流转制度、宅基地流转制度和农村土地退出制度,完善户籍制度、社会保障制度和税费制度,从而有效提升农村土地利用效率。     

Monitoring land use change in an African tribal village on the rural-urban fringe

Urban land uses commonly compete favourably with rural land uses on the rural-urban fringe under the principal of land rents in a free market. Where a free market does not exist, complications in land use competition may develop and make it difficult to acquire land for the ever increasing demands of urban use. This study uses GIS to quantify and analyse patterns of land use change reflecting competition among various types of land use in the village of Tlokweng on the rural-urban fringe of the city of Gaborone, Botswana, over a 26-year period between 1963 and 1989. The villages in the tribal territories on the rural-urban fringe where Tlokweng is located practise communal land tenure under which individuals are allocated land parcels free of monetary cost. The city of Gaborone, on the other hand, has a free land market. Differences in the price of land have encouraged migrants to the city to attempt to acquire residential plots from the tribal territories on the city's rural-urban fringe. However, since there are no incentives for exchanging land, would-be purchasers have faced resistance in acquiring plots on the outskirts of the village. During the period of study there was no organized expansion of the village and patterns of land use change could only be analysed by monitoring the increase in the number of plots allocated to various uses and the aggregate area occupied by these plots. Results indicate that more and more allocations of residential plots are made from vacant land within the older part of the village, resulting in increased congestion. It is recommended that commercialization of the communal lands, already contemplated by the government, may partially reduce resistance to changes in land ownership and arrest further congestion in the villages on Gaborone's rural-urban fringe.     

Shifting farming-pastoral ecotone in China under climate and land use changes

Meteorological records show a rise in temperature and decrease in precipitation in most parts of the farming-pastoral ecotone of Northern China over the last 50 years. During the last quarter of the 20th Century, the agrarian sector went through a series of reforms and changes in government policies on land use that have led to extensive changes in land cover. The objective of this study was to redefine the location and analyze the boundary variations under the effects of climate and land use changes in the farming-pastoral ecotone of Northern China. The results showed that the location of study area has been redefined as both a climatic ecotone from the perspective of suitability of precipitation and temperature for agricultural crops and vegetation growth, and also a land use ecotone based on the impacts of farmland restructuring by government policies on land use. In recent decades, the climatic boundary has moved southeast while the land use boundary has moved northwest, showing opposing directions of change. The extent of boundary changes in the northeast and northern sections are far greater than in the northwestern section of the farming-pastoral ecotone of Northern China.     

The Norwegian area frame survey of land cover and outfield land resources

There is a growing demand for reliable information about land cover and land resources. The Norwegian area frame survey of land cover and outfield land resources (AR18X18) is a response to this demand. AR18X18 provides unbiased land cover and land resource statistics and constitutes a baseline for studying changes in outfield land resources in Norway and a framework for a national land resource accounting system for the outfields. The area frame survey uses a systematic sampling technique with 0.9 km² sample plots at 18 km intervals. A complete wall-to-wall land cover map of an entire plot surveyed is obtained in situ by a team of fieldworkers equipped with aerial photographs. The use of sample plots with extended coverage (0.9 km²) ensures that the survey also deals with local variation, thus strengthening the estimates well beyond simple point sampling. The article documents the methodology used in the survey, followed by a discussion of issues raised by the choice of methodology. These issues include the problem of calculating uncertainty and a confidence interval for the estimates, the focus on common rather than rare land cover categories, and the prospect of downscaling the results in order to obtain statistics for subnational regions.     

长江沿线样带土地利用变化时空模拟及其对策

短时期(几年或几十年)的土地利用变化,主要受社会经济因素的驱动和自然因素的约束。各类土地利用变化基本上都能从与人类生产活动密切相关的耕地和城乡建设用地的变化上得到反映。利用修订后的GTR模型,对长江沿线样带未来30年的土地利用变化进行了模拟。研究发现,东部地区的耕地面积将进一步减少,而全区的耕地和建设用地面积将增加。根据研究区未来土地利用变化的时空特点,提出了相关应对策略,以利于区域土地持续利用的实现     

Scenarios of land system change in the Lao PDR: Transitions in response to alternative demands on goods and services provided by the land

Sudden and gradual land use changes can result in different socio-ecological systems, sometimes referred to as regime shifts. The Lao PDR (Laos) has been reported to show early signs of such regime shifts in land systems with potentially major socio-ecological implications. However, given the complex mosaic of different land systems, including shifting cultivation, such changes are not easily assessed using traditional land cover data. Moreover, regime shifts in land systems are difficult to simulate with traditional land cover modelling approaches. A novel simulation approach was employed that focused on simulating changes in land systems rather than focusing on land cover. With the CLUmondo model we simulated three scenarios of potential developments between the years 2010 and 2030 assuming different degrees of international market integration and sustainable growth objectives. Although all scenarios show a decline of shifting cultivation systems, the respective orientation of markets and land governance resulted in strongly different land change trajectories. The land system changes are strongly location dependent and different trajectories are found in different parts of the country. Some scenarios show clear elements of land sparing with intensification of land management in the valleys and re-growth of forest on sloping land. Other scenarios show elements of enhanced multi-functionality. The approach addressed methodological challenges in simulating land system regime shifts and complex mosaic landscapes while accounting for societal demands for different types of goods and services from land systems. The land systems approach allows a nuanced representation of different types of forests and agricultural systems such as shifting cultivation and commercial agricultural plantations. Simulation results contribute to a debate about desired future land use on the national scale including its environmental and socio-economic implications.