The development and application of a land use diversity index for Oklahoma City,OK

Characteristics of land use and land use diversity play an integral part in determining how a city develops, and also can influence the allocation of funds for urban redevelopment, crime prevention, and civic and transportation projects. With the rise of the sustainability movement and concern about environmental degradation, more cities are interested in optimizing transportation routes and utilizing their budgets to accommodate high-priority projects that benefit the most people. This paper develops a method for measuring land use diversity for Oklahoma City, Oklahoma, and explores the relationship between land use diversity and a suite of demographic variables. To accomplish this, a land use diversity index (LUDI) was developed to examine spatial patterns in diversity of land use. The analysis shows that areas with a higher LUDI are near interstates and main corridors while areas with a lower LUDI are located closer to where newer residential areas have been developed. A multivariate statistical approach was then used to identify those variables that might explain the specific spatial patterns of the LUDI in Oklahoma City. The results identify the relationship between the demographic variables and land use across the city, and illustrate the most interesting and significant spatial patterns. By coupling the land use diversity index and demographic data, Oklahoma City planners can apply the information to help make important decisions for the city, and it will provide quantifiable data to support their decisions.     

Land use/cover changes in the war-ravaged Jaffna Peninsula, Sri Lanka, 1984–early 2004

Temporal and spatial information on land use/cover is a prerequisite for effective planning decisions in the context of social and economic development. Satellite remote sensing data have become increasingly important in the study of land use/cover changes. This paper uses multitemporal satellite data to measure and spatially characterize land use/cover changes in the Jaffna Peninsula, northern Sri Lanka over the two decades from 1984 to early 2004 in terms of potential drivers. Over this period, the Jaffna Peninsula has been impacted severely by armed conflict between the government of Sri Lanka and the Liberation Tigers of Tamil Eelam. A postclassification method is used to compare land use/cover classes from satellite images using Geographical Information Systems (GIS) to analyze the spatial pattern of land use/cover changes over the study period. Results indicate that the land use/cover pattern has been very dynamic since early the 1980s, showing a remarkable decrease in agricultural land use and concomitant increase in non-agricultural land uses. The ethnic conflict and its consequences, particularly large-scale population migrations, have been the main driving forces for such land use/cover changes in the Jaffna Peninsula. The results of this study are not only important in aiding efforts to reconstruct this area after decades of physical and socioeconomic devastation, but should also prompt similarly urgent studies in other inaccessible war-torn areas of the world.     

The spatial dynamics of deforestation and agent use in the Amazon

The objective of this study was to better understand the linkages between spatial patterns of forest use, land use, and rates of deforestation. We focused on a region of the Brazilian Amazon characterized by a variety of spatial patterns of deforestation and that experienced rapid deforestation in the last decade: the colonization project “Pedro Peixoto” in the extreme East of Acre State. By combining time series of remote sensing data and household survey data, we tested the hypothesis that each spatial pattern of deforestation is associated with specific socio-economic characteristics of land managers. The statistical results support our hypothesis. However, spatial patterns of deforestation are not a consequence of the main economic activities. Rather, spatial patterns of forest use are linked to the pre-conceived design of the settlement project. The main economic activities are influenced by factors such as the property size, their location and disposition, and the availability of infrastructure.     

LegalGEO: Conservation tool to guide the siting of legal reserves under the Brazilian Forest Code

The Brazilian Forest Code, enacted in 1965, was the first national law to mandate that private landowners maintain a portion of their land in natural vegetation. Effective implementation of the law is not only a national priority, but also a global one as Brazil hosts some of the greatest biodiversity and the largest carbon stores in the world. Under the Forest Code, landowners have options to either protect, restore, or offset to meet the legal requirements. Collectively planning and guiding where to locate these options within and outside a rural property can have positive impacts for the environment at both local and landscape levels. To that end, we developed the LegalGEO toolkit to assist government and non-government organizations in offering landowners solutions for complying with the Forest Code requirements while promoting positive outcomes for the environment. Here, we introduce the tools and spatial data associated with LegalGEO and discuss how these data are used within a spatial multi-criteria analysis to produce landscape prioritization maps to guide landowner decisions at the property level. As a case study, we apply LegalGEO to a collection of rural properties within the state of Minas Gerais, Brazil and compare the differences in the resulting landscape patterns against a scenario where landowners lack this guidance. Results from this comparison suggest that the use of the LegalGEO tool improves conservation outcomes at both landscape and property levels scales.     

多水平/尺度的驱动力变化与沙漠化之间的关系——以内蒙古乌审旗为例

沙漠化是土地退化形式之一,它是自然因素和人类活动相互作用的结果。本文以内蒙古乌审旗为研究区,在多种空间数据基础上,基于等级理论,使用多水平统计模型构建了从局地到区域的模型,揭示不同尺度的影响因素与该地区沙漠化的关系。对遥感影像的分析表明该地区1977—2007年沙漠化扩展的趋势减缓并逆转;多水平统计模型分析表明,多尺度的驱动因素可以解释该地区近30年的沙漠化变化,特别是政策因素对该地区沙漠化逆转影响较大。本研究可为乌审旗及类似地区沙漠化变化机理研究提供参考。     

AutoLogistic 方法在土地利用格局模拟中的应用 —— 以张家界市永定区为例

土地利用/ 土地覆被变化(LUCC) 是当前研究全球变化的重要内容, 而区域土地利用 格局模拟是LUCC 研究的核心内容之一。以张家界市永定区为研究单元, 根据由2005 年土地 利用现状图和数字高程模型数据源得到的土地利用、地形、河流以及道路等空间数据, 对区 域土地利用类型空间格局的空间自相关性特征进行了建模研究, 并通过在传统Logistic 模型 中引入描述空间自相关性的成份, 实现了能够考虑自相关性因素的回归分析模型 (AutoLogistic 模型), 同时应用该模型对区域土地利用格局进行了模拟和分析。结果显示, 通 过与没有考虑空间自相关性的回归模型(传统Logistic 模型) 相比较, 该模型显示了更好的拟 合优度和更高的拟合准确率(耕地、林地、建设用地及未利用地的ROC 值分别从0.851、 0.913、0.877 和0.852 提高到0.893、0.940、0.907 和0.863)。研究结果说明了基于 AutoLogistic 方法的土地利用格局的相关性建模在一定意义上是合理的。同时研究结果也可以 为永定区及其相似地区的土地利用规划决策提供更为科学的依据。     

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.     

Factors affecting diatom distribution in floodplain lakes of the southeast Murray Basin,Australia and implications for palaeolimnological studies

Diatom assemblages of surface sediments in 46 billabongs from four river floodplains in the southeast Murray-Darling Basin, Australia were sampled to investigate drivers of species distribution. The principal purpose of the study was to derive information to aid interpretation of diatom-based palaeoecological studies of these systems and of floodplain lakes more generally. Patterns in billabong diatom assemblages in relation to river reach, hydrology and farming intensity on surrounding land were examined, as were correlations with water quality variables. Seasonal variation in billabong water quality was high relative to spatial variation, and spatial patterns in billabong water quality were weak. In contrast, strong patterns were evident in diatom assemblages. Three main patterns were observed: (1) a distinction between billabongs dominated by planktonic diatoms from those dominated by benthic and attached forms; (2) differences in diatom assemblages in billabongs on different river reaches; and (3) differences in assemblages in billabongs with different hydrology. Of all water quality variables tested, total phosphorus (TP), total nitrogen (TN) and pH exerted the strongest independent influence on diatom distribution; however, only TP remained an important variable when species variation due to river reach, hydrology, and aquatic plant cover was taken into account. The weak influence of water quality on diatom distribution is interpreted as reflecting the dichotomy between plankton and non-plankton-dominated billabongs, the influence of hydrology and biogeography, the lack of strong spatial water quality gradients and the high degree of temporal variability in water quality. The findings show that diatom records from billabong sediments can provide evidence of long-term changes in the abundance of aquatic macrophytes and hydrology. They also suggest that merging calibration data sets across regions for the purpose of improving diatom transfer functions for water quality reconstruction is of limited value for floodplain lakes, and that performance is more likely to be gained by boosting site numbers within regions.     

小气候、雪盖及土壤湿度对高山生态系统功能的影响

1 Introduction High mountain landscapes above the tree-line are often regarded as close to nature, although human impact has obviously changed the environment, partly exceeding its carrying capac- ity (L?ffler, 2000). Due to their fragility regarding expected environmental changes and an increasing land use pressure in many regions, high mountain landscapes recently became a major focus within the discussion on a sustainable development in a worldwide (Messerli and Ives, 1997), and regional p…     

The influence of micro-climate, snow cover, and soil moisture on ecosystem functioning in high mountains

The dynamics of water and energy fluxes in the high mountains of central Norway was studied along micro-spatial topographic gradients in different altitudes and regions of the Scandes. Landscape ecological processes like snow accumulation during winter, snow melting, evaporation, percolation, soil moisture variability and temperature variations were quantified. Combining spatio-temporal data on physical environment functioning and vegeta-tion patterns resulted in a process-oriented characterisation of high mountain ecosystems. Extensive data from long-term measurements were synthesised illustrating the influence of micro-climate, snow cover, and soil moisture on high mountain ecosystem functioning. The results reveal that the micro-climatic impact on the vegetation is predominantly determined by snow cover overlaying soil moisture gradients. Water only becomes superior where near-surface water saturation and flooding occur. A lack of soil moisture availability was not found during any time of the year even under driest site conditions. Contrasting literature, the Norwegian mountain vegetation was found to be interpreted by environmental variable con-stellations excluding drought stress.     

小气候、雪盖及土壤湿度对高山生态系统功能的影响(英文)

1 Introduction High mountain landscapes above the tree-line are often regarded as close to nature, although human impact has obviously changed the environment, partly exceeding its carrying capac- ity (L?ffler, 2000). Due to their fragility regarding expe…     

The Coproduction of Peri‐Urban Space

Expanding beyond narrow approaches of understanding postapartheid space, this research analyzes the social relations contributing to land use patterns and livelihood decisions as manifestations of the coproduction of space. Drawing on a detailed livelihood and land‐change analysis case study of Polokwane, South Africa, it is argued that combinations of social processes across scales contribute to the production of peri‐urban South Africa and offer an uncommon mixed‐methods approach by combining qualitative ethnographic interviews, quantitative survey data, and land‐cover change detection. The peri‐urban interface is coproduced as individuals participate in multiple livelihood activities (wage labor, businesses, social programs) and changing land use patterns (residential, urban, mixed use) through negotiations at multiple scales—from macrolevel economic policy to local labor regimes.     

Spatial Distribution of Surface Soil Organic Carbon Density and Related Factors along an Urbanization Gradient in Beijing

Urban surface soil has a unique set of structures and processes that affect surface soil organic carbon density (SOC_density) and its spatial variations. Using Beijing as a case study, and assisted by field investigations and experiments, we analyzed the spatial distribution of SOC_density in different land use types and functional regions, and assessed associated factors such as urbanization level, the physiochemical properties of soil and plant configurations. The present study aims to provide useful information about the mechanisms driving soil organic carbon and climate change in developing and developed areas in urbanized regions like Beijing. Results indicate that P is the main factor positively influencing SOC_density in most regions. Because of the specific interference directly related to human beings in urban areas, with decreases in the urbanization level, more physiochemical factors of soil can influence SOC_density. SOC_density under grasses is not significantly different from that under other plant compositions. Urbanization processes decrease the heterogeneity of the spatial pattern of SOC_density in most land use types, but increased its contents when the area reached a developed level in Beijing. More factors related to human interference and spatial variation of surface soil carbon storage, especially under impervious land in urban areas, should be considered in future studies.     

SELLERS AND NONSELLERS OF LAND FOR NEW RURAL HOUSING*

Landowners can choose either to sell or to hold their land in areas with active rural land markets. Sellers and nonsellers are both important because their decisions shape patterns of land use. Analysis of mail survey data from 286 landowners in the Rochester, MN SMSA isolates four characteristics that distinguish sellers from nonsellers: occupation, size of landholding, recent acquisition of land, and interest in selling land. Nonsellers are often farmers with a large landholding and no interest in selling. More information is needed about their non-economic motives for holding land.     

2000–2015年京津走廊耕地和建设用地变化监测研究（英文）

Rapid peri-urbanization has become a new challenge for sustainable urban-rural development worldwide. To clarify how unprecedented urban sprawl at the metropolitan fringe impacts urban-rural landscape, this study took the Beijing-Tianjin corridor of Beijing-Tianjin-Hebei metropolitan area, one of the largest urban clusters in China, as a typical example. By using Landsat-based landscape metrics and a practical methodology, we investigated the landscape changes and discussed the potential reasons in the context of rapid peri-urbanization of China. Specifically, multi-temporal land use maps derived from Landsat images were used to calculate landscape metrics and analyze their characteristics along the urban-rural gradients. The practical methodology was used to monitor spatio-temporal characteristics of landscape change in large metropolitan areas. The results showed that landscape patterns in the area had changed greatly from 2000 to 2015 with characteristics of construction land sprawl and arable land shrinkage. The intensity and scale of landscape changes varied along the urban-rural gradients. Sampled plots in urbanized areas and rural areas demonstrated distinguishable landscape patterns and significant differences. Urban areas had more heterogeneous and fragmented landscapes than rural areas. Peri-urban areas in general experienced higher levels of land diversification than rural areas. Rural residential land appeared to be more aggregated near Beijing and Tianjin cities. Besides, our findings also indicated that urban expansion was largely responsible for landscape patterns.The findings of this study potentially provide strategical insights into landscape planning around mega cities and sustainable coordinated urban-rural development.     

办公与居住用地开发的空间结构研究——-价格梯度、开发数量与开发区位

文章基于竞租函数的基本思想,从理论上探索了办公与居住用地开发的空间演变机理,并以北京市为例进 行了实证研究。研究结果表明：办公用地的价格梯度明显高于居住用地,并且办公用地的开发区位更靠近市中心; 一定区域内,价格相对较高的土地利用类型,其开发量相对较大;实证结果同时发现了资本和土地之间的替代效应 以及办公用地开发的集聚经济。研究结论认为：随着我国土地市场的发展和成熟,市场力量在土地开发模式中发挥 着日益显著的作用;土地价格成为影响土地开发量、开发区位以及开发强度的重要信号。     

Methodological Advances in the Spatial Analysis of Land Fragmentation

This article evaluates the effect of moving window (MW) size on observed fragmentation spatial patterns and proposes a method to identify an effective MW size using Simpson's diversity index. To test the robustness of the proposed method, we demonstrate its use in six cities in the Phoenix metropolitan area that have substantial variation in land composition and configuration. Next we explore the effects of gradient observation scale and the role of scale in removing noise. We compare and discuss two popular approaches to measuring urban-to-rural fragmentation gradients—concentric ring- and transect-based approaches—highlighting the usefulness of each approach in an extensive and rapidly urbanizing region. This study provides a new method for selecting window size, offers insights on scale effects, and provides guidance on gradient scale selection to achieve the best representation of land fragmentation patterns for urban analysis.     

The Use of Comaps to Explore the Spatial and Temporal Dynamics of Fire Incidents: A Case Study in South Wales,United Kingdom*

This article reports on the results from a spatiotemporal analysis of disaggregate fire incident data. The innovative analysis presented here focuses on the exploration of spatial and temporal patterns for four principal fire incident categories: property, vehicle, secondary fires, and malicious false alarms. This research extends previous work on spatial exploration of spatiotemporal patterns by demonstrating the benefits of comaps and kernel density estimation in examining temporal and spatiotemporal dynamics in calls for services. Results indicate that fire incidents are not static in either time or space and that spatiotemporal variation is related to incident type. The application of these techniques has the potential to inform policy decisions both from a reactive, resource‐allocation perspective and from a more proactive perspective, such as through spatial targeting of preventive measures.     

SELLERS AND NONSELLERS OF LAND FOR NEW RURAL HOUSING∗

Landowners can choose either to sell or to hold their land in areas with active rural land markets. Sellers and nonsellers are both important because their decisions shape patterns of land use. Analysis of mail survey data from 286 landowners in the Rochester, MN SMSA isolates four characteristics that distinguish sellers from nonsellers: occupation, size of landholding, recent acquisition of land, and interest in selling land. Nonsellers are often farmers with a large landholding and no interest in selling. More information is needed about their non-economic motives for holding land.     

土壤理化性质空间分布及其相关关系分析

使用地理加权相关（GW correlation）与多因素方差分析对张家口地区土壤理化参数空间分异及其相关关系进行分析。结果显示：土壤理化参数具有不同的空间自相关性，各参数之间地理加权相关系数存在正负或大小差异。林地土壤养分含量与饱和导水率显著大于其他土地利用类型（P<0.05）；土壤理化参数之间相关性主要表现为坝上高原>坝下区域、栗钙土>其他土壤类型（P<0.05）。这表明，土地利用是影响张家口地区土壤理化参数空间分异的主要因素，地貌和土壤类型是影响土壤理化参数相关关系空间分异的主要因素，结果可以为认识区域土壤地域分异规律及制定生态脆弱区水土涵养措施提供数据参考。