基于GIS的东北农牧交错带土地利用变化的生态环境效应案例分析

利用遥感数据，相关专题地图和社会经济统计数据。在GIS的支持下，以位于中国东北农牧交错带的吉林省镇赉县作为典型研究区，探讨了东北农牧交错带土地利用变化影响生态环境演化的机制。运用马尔柯夫模型对镇赉县土地利用变化进行空间统计分析。并从景观生态格局，土地荒漠化和水环境等三方面对土地利用变化的生态环境效应进行了实证分析。     

Characterization of landscape pattern based on land economic niche change: A case study in Ganzhou,Gansu Province,China

Land use change has a profound impact on biodiversity and ecological processes, and is closely related to changes in landscape patterns. This paper introduces the theory and method of land economic niche into landscape ecology, which provides a new method for spatial characterization of urban and rural spatial landscape patterns. Based on this theory, this paper analyzes the landscape pattern of Ganzhou District by using Landsat images as data source in 1995, 2000, 2005,2010 and 2015. We calculated the land economic niche by applying the niche potential theory. Combined with the theory of landscape ecology, we explored the effects of the land economic niche change on the landscape pattern at a county scale.The results show that economic niche of construction land, watershed and farmland increased during 1995–2015, and grassland declined significantly. The economic niche of farmland, construction land, watershed and grassland show a negative correlation with the number of patches(NP), fragmentation index(FN) and the fractal dimension index(FD), and had a positive correlation with the aggregation index(AI). There was no significant correlation between the forest land economic niche and landscape metrics. The change of land economic niche has a driving effect on the landscape pattern of the county, which can represent the economic development direction of Ganzhou District. The land economic niche is closely related to the landscape type which can directly obtain an economic benefit.     

Spatially-explicit sensitivity analysis of an agent-based model of land use change

The complexity of land use and land cover (LULC) change models is often attributed to spatial heterogeneity of the phenomena they try to emulate. The associated outcome uncertainty stems from a combination of model unknowns. Contrarily to the widely shared consensus on the importance of evaluating outcome uncertainty, little attention has been given to the role a well-structured spatially explicit sensitivity analysis (SSA) of LULC models can play in corroborating model results. In this article, I propose a methodology for SSA that employs sensitivity indices (SIs), which decompose outcome uncertainty and allocate it to various combinations of inputs. Using an agent-based model of residential development, I explore the utility of the methodology in explaining the uncertainty of simulated land use change. Model sensitivity is analyzed using two approaches. The first is spatially inexplicit in that it applies SI to scalar outputs, where outcome land use maps are lumped into spatial statistics. The second approach, which is spatially explicit, employs the maps directly in SI calculations. It generates sensitivity maps that allow for identifying regions of factor influence, that is, areas where a particular input contributes most to the clusters of residential development uncertainty. I demonstrate that these two approaches are complementary, but at the same time can lead to different decisions regarding input factor prioritization.     

LUCC驱动力模型研究综述

驱动力研究是土地利用变化研究中的核心问题。土地利用变化驱动力模型是分析土地利用变化原因和结果的有力工具，模型通过情景分析可为土地利用规划与决策提供依据。基于不同理论的驱动力研究方法很多，论文选取了几种国内外应用较多的LUCC驱动力模型进行综述，分析了每个模型的优缺点及适用范围，最后得出结论：1) 基于过程的动态模型更适于研究复杂的土地利用系统。2) 基于经验的统计模型能弥补基于过程的动态模型的不足。3) 基于不同学科背景的模型进一步集成将是LUCC驱动力模型未来的发展趋势。     

江浙沪地区土地利用变化模拟和景观格局分析

土地利用／覆被变化对于生态系统多样性和区域生态经济系统可持续性具有深远的影响。本文基于地理信息技术,以江浙沪地区土地利用遥感解译数据为基础,采用景观格局分析法分析了江浙沪地区的景观格局特征;运用CA—Markov模型对江浙沪地区土地利用时空变化进行了模拟。1980-2005年期间,江浙沪地区景观格局变化特征是建设用地增加迅速,耕地集聚减少,建设用地增加主要来自耕地转移,其贡献率达到93．11％。各类斑块类型的破碎度提高;林地和建设用地斑块平均分维数增加,斑块形状趋于复杂,斑块空间分布趋于集中。总体景观破碎度不断提高,景观多样性和景观异质性增加,景观均匀度有所提升：2005年CA—Markov模型模拟结果和遥感解译数据具有高度一致性,Kappa指数达到91％,2010年和2015年模拟结果显示,耕地减少和建设用地增加趋势显著,耕地和林地的减少呈加速状态,建设用地增加的速度降低。未来发展需提高土地利用效率和注重生态格局安全,在提高城市化水平的同时又能兼顾生态保护,以提高区域可持续发展能力。     

土地利用空间格局及其变化的图形信息特征分析

运用地理图形信息理论和景观生态学理论，探讨了土地利用空间格局及其变化的图形化描述方法，并以吉林省前郭县为例，在GIS空间分析和统计分析模型的支持下，分析了研究区土地利用空间格局及其变化的图形特征。结果表明：每一土地利用类型图斑特征都可以用几个图形参数来刻画，图形参数随面积变化而变化的曲线可以有效地揭示和区分不同的土地利用类型特征，而土地利用空间格局及其变化则可用VCM曲线来描述。     

滇西北生态脆弱区土地利用变化及其生态效应 ——以云南省永胜县为例

土地利用/土地覆被变化及其生态环境效应研究是当前地理学全球变化研究的核心内容,而生态系统服务功能则是生态学、生态经济学研究的热点问题。作者利用滇西北生态脆弱区--永胜县1988年、1994年和1999年的TM遥感影像,采用景观生态学的空间格局指数分析研究区近10年来的土地利用动态变化特征,并以生态系统服务功能衡量相应土地利用类型的相对生态价值,评价区域土地利用/土地覆被变化的生态效应,尝试将二者有机结合起来。研究表明,全县景观总体构成表现为景观破碎度较高,斑块数目较多;林地和未利用地一直占很大比重,林地的不断增加与未利用地的迅速减少是研究时段内土地利用变化的突出特征;研究时段内全县土地利用变化带来了较好的生态效应,土地利用生态效益持续提高,并表现出了较大的空间差异。     

Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA

Detecting land-use change has become of concern to environmentalists, conservationists and land use planners due to its impact on natural ecosystems. We studied land use/land cover (LULC) changes in part of the northwestern desert of Egypt and used the Markov-CA integrated approach to predict future changes. We mapped the LULC distribution of the desert landscape for 1988, 1999, and 2011. Landsat Thematic Mapper 5 data and ancillary data were classified using the random forests approach. The technique produced LULC maps with an overall accuracy of more than 90%. Analysis of LULC classes from the three dates revealed that the study area was subjected to three different stages of modification, each dominated by different land uses. The use of a spatially explicit land use change modeling approach, such as Markov-CA approach, provides ways for projecting different future scenarios. Markov-CA was used to predict land use change in 2011 and project changes in 2023 by extrapolating current trends. The technique was successful in predicting LULC distribution in 2011 and the results were comparable to the actual LULC for 2011. The projected LULC for 2023 revealed more urbanization of the landscape with potential expansion in the croplands westward and northward, an increase in quarries, and growth in residential centers. The outcomes can help management activities directed toward protection of wildlife in the area. The study can also be used as a guide to other studies aiming at projecting changes in arid areas experiencing similar land use changes.     

土地利用景观格局空间尺度效应研究

城市土地利用景观格局研究对城市规划设计和土地资源管理具有重要的理论价值和现实意义,而研究尺度的选择是其必不可少的部分。本文基于景观生态学方法,以武汉市为研究区域,选取聚集分散指数、斑块类型指数、形状指数三种类型指数对土地利用景观格局进行分析,同时引入层次分析法,研究武汉市土地利用景观格局的空间尺度效应及其响应特征,结果表明武汉市土地利用景观格局具有明显的空间尺度效应,随着空间尺度的增大,景观破碎程度增大,景观分布越来越分散,景观异质性减小,斑块之间连接度越来越弱。在此基础上,建立最佳尺度选择模型,并基于分型理论对最佳尺度的合理性进行验证,最终得出武汉市土地利用景观格局研究的最佳空间尺度为60 m。     

哈尼梯田土地利用空间格局及其变化的信息图谱研究

以云南省元阳县为例,建立土地利用空间格局及变化信息图谱,对其图谱特征进行分析。结果表明:土地利用时空演变征兆图谱更直观形象的揭示区域土地利用变化的基本模式,提供时空复合的表达方式;土地利用斑块形态与空间扩展图谱的建立应用空间格局研究中的相关概念和方法,将微观、宏观层次图形信息与变化过程结合;土地利用变化景观特征图谱建立以度量空间格局变化为目标的景观指数体系。     

Different times,same story: Native forest loss and landscape homogenization in three physiographical areas of south-central of Chile

Temperate forest represents the smallest area among the main world's forest biomes, but is one of those most threatened by forest loss. Chile contains most of the temperate forest in South America and more than half of the temperate forest in the southern hemisphere. Chilean temperate forest is considered to be one of the world's biodiversity hotspots. In this study we assessed the rate of land use and land cover (LULC) change over time, identified the main LULCs replacing native forest, and described how changes have evolved in contrasting physiographical conditions and through different historical phases of the landscape over the last 40 years. To achieve this, we analysed LULC change with particular focus on forest cover in three areas representing different physiographical conditions and histories of human occupation in the Araucanía Region of Chile, namely the Central Valley, the Coastal range, and the Andean range. We found substantial differences in temporal and intra-regional patterns of forest loss and LULC change. In the Central Valley, forest loss started long ago, and the area occupied by native forest nowadays is less than 5% of the landscape. In the Coastal range, rapid land cover change has taken place since 1973, with an increasing rate of forest loss over time. We detected a similar but less intense pattern in the forests of the Andean range. Overall, the general pattern points to a process of landscape homogenization in all three physiographical areas. Exotic tree plantations have spread over large geographical areas, becoming the dominant land cover. Land cover change in the Araucanía Region reflects a model of change in which areas with better environmental conditions and accessibility are occupied first for productive activities. As the availability of suitable areas for the expansion of productive activities diminishes, these activities start to move into physiographical areas which were previously “protected” by adverse environmental conditions or poor accessibility. This model of production growth could lead to the complete deforestation of areas outside national protected areas, and other areas which still remain inaccessible due to technological restrictions on exploitation.     

基于遥感和GIS的松嫩沙地土地利用/土地覆被时空格局研究

利用1986年和2000年2期TM影像资料,建立相应的空间图形库系统,定量分析了松嫩沙地典型区近15a来土地利用数量变化,从土地利用斑块特征、斑块空间邻接关系变化和主导变化类型角度对土地利用/覆被格局进行了清晰的空间描述。结果表明,研究时段内该区土地利用量变和质变活跃。耕地面状成片、条带状延伸和斑块状空间扩展,从整体上呈现集中化特征。较大面积的草地和林地被分割、破碎化,小块盐碱化草地空间聚集与扩张。耕地与草地、草地与盐碱地空间相邻度变大,草地开垦强度增大、土地盐碱化日益严重。空间变化上表现为耕地、林地、草地和未利用地之间相互转化,以草地、林地-旱地,草地-未利用地,未利用地-旱地、水田及旱地-水田最为显著。     

京津冀地区1985–2000期间林地变化的时空格局及其影响因素（英文）

林地是维护生态安全,实现区域可持续发展的根本基础资源。林地变化可能导致一些生态环境问题,包括土壤侵蚀,水资源短缺,干旱加剧以及生物多样性的丧失。本文以景观生态学和逻辑回归模型为基础,探讨了京津冀地区1985-2000期间林地变化的时空格局及其影响因素。格局分析结果表明,林地景观破碎化正在下降和林地形状变得越来越规则。通过建立Logistic回归模型,这项研究旨在探讨这一区域1985-2000期间林地变化的重要变量。对于京津冀地区1985-2000期间林地变化而言,土壤有机质含量,坡度(5°),到最近村庄的距离以及人均国内生产总值是最重要的解释变量。研究表明,空间异质性会影响到林地变化的逻辑回归模型的可预测性。     

基于GIS的土地整理景观效应分析

以北京市怀柔区的土地整理项目为例,基于GIS,应用景观生态学方法,分析了土地整理前后的土地利用结构和景观格局变化。结果表明:(1)土地整理实施后,项目区超过70％的面积为耕地,其他土地利用类型多转变为耕地。(2)土地利用的斑块数量和斑块密度降幅超过50％;平均斑块面积、最大斑块面积和最小斑块面积分别增加1.2倍、0.4倍和79倍,而斑块面积变异系数降低了24.18%。(3)土地利用斑块形状变得简单规则、空间分布集中,景观边缘密度、形状指数和分离度指数明显降低,降幅超过29％,分维数略有降低,而聚集度升高。(4)土地整理在减轻景观破碎化的同时也降低了景观多样性,斑块类型丰富度指数降低14%,而Shannon与Simpson的多样性指数和均匀度指数的降幅超过30%。     

干旱区水土资源时空变化的定量研究

水资源是制约干旱区土地资源开发利用的主要自然因素，水、土资源利用在时间和空间上平衡与否的矛盾影响着干旱区生态环境与社会发展。用定量化的数学模型表示二者的互相影响，能描述、解释和预测二者关系并能为制定对策提供依据。本文首先分析了干旱区土地利用与水资源的相互影响，然后对水土资源相互影响下时空变化的模拟方法和理论进行了综述。一方面从蒸散的计算、模拟地下水补给、模拟区域尺度上土地利用影响、模拟土地管理措施影响、模拟抽取地下水影响、以系统方法模拟土地利用影响等几方面对土地利用影响下水资源的时空变化模拟进行了综述。同时对水资源影响下土地利用变化的模拟从主要考虑水文作用的水文－植被模型的建立应用及引入人为因素为驱动力的土地利用变化模拟两方面做了综述。文章最后进一步概括了干旱区水土资源时空变化模拟的趋势并就此方面的研究提出了三点展望意见。     

Spatio-temporal dynamics of land cover and land surface temperature in Ganges-Brahmaputra delta: A comparative analysis between India and Bangladesh

Land use and land cover (LULC) change in the Ganges-Brahmaputra delta (GBD) poses significant challenges towards future environmental sustainability of the region and requires regional scale monitoring of key bio-physical variables and changes in their inter-relationship over space and time. Focusing on the southern part of the lower GBD region along the international border of India and Bangladesh, this study examined the spatio-temporal variability of LULC change and its relationship with Land Surface Temperature (LST). Furthermore, LULC-LST relationships were compared between Indian and Bangladesh part and its trend in and around big cities (with more than 1 million population) and towns (with more than 100,000 population) was investigated. Results showed that LST changes were predominantly driven by LULC changes on both sides of the border. Urban growth is the dominant form of LULC change, and the rate of land change was faster in 2005–2010 time period than 1989–2005. Over the period of 21 years, mean January LST decreased by approximately 1.83 °C in Indian part and 1.85 °C in the Bangladesh part. Areas that changed from to rural from agricultural experienced decrease in mean LST, whereas those areas that changed to urban from either agriculture or rural, experienced increase in mean LST. The relationship between LULC and LST are same on both sides of the Indo-Bangladesh border. In bigger cities like Kolkata (in India) and Khulna (in Bangladesh), there is a high spatial variability in relationship between LULC and LST compared to large towns. The LULC-LST relationship in large towns in India was influenced by proximity to Kolkata and coastal areas, whereas in Bangladesh no such influence was evident. The results and the data produced in this study are crucial for monitoring LULC changes, for developing spatial decision support system, and thus will be helpful to address the current challenges of land management in the GBD region. Changes in the LULC and LST are important indicators of GBD's environmental health and access its vulnerability and thus the present findings serve as baseline information for future studies seeking to examine the impact of differential policies on the LULC change in the region.     

土地利用空间格局的图形信息表达初步研究

土地利用表现为在自然要素和人类活动的综合作用下的一系列异质性的图形。不同的土地利用空间格局的地学形成机制、生态功能、演化方向和对环境的影响各不相同,其空间图形也千差万别。运用景观生态学原理、地理图形信息理论,以位于中国北方农牧交错带的吉林省前郭县作为研究区,在GIS的支持下,归纳、抽象了各主要土地利用类型斑块形状及其描述参数,探讨了土地利用空间格局和空间分布的表达方法(VCM曲线),实现了土地利用空间格局图形的数量化描述和分析。其结果为从图形信息机理的角度研究土地利用格局的地学形成机制及生态功能、时空演化等方面奠定了基础     

重庆市浅丘带坝区土地利用与景观空间格局分析

选取重庆市沙坪坝区陈家镇为研究区,采用其建立的土地利用现状数据库,运用GIS的图形处理与空间分析功能,生成6种景观格局图并输入Fragstats for ArcView3.X软件,提取景观格局指数,借助于景观格局指数在生态过程与土地利用间所建立的一种关联,分析并探讨土地利用诱发下景观空间格局特征的响应.其结果:水田景观在景观类型中占据着绝对优势,其连接度表现较高,是景观类型明显的基质,受人类活动干扰强;冬水田景观要素接近于水田景观本底,且冬水田景观要素斑块个数、类型面积随着河流缓冲区距离的增大而增加;旱地景观中各景观要素斑块总体上分布比较零散,规律性不强;农村居民点景观要素是建设用地景观的主要类型,其斑块几何形状简单、规整,各斑块间的相似性强,外围边界接近于正方形或者矩形.