1977-2010年青海湖环湖区土地利用/覆盖变化与土地资源管理

青海湖流域是青海省主要牧场,也是青藏高原东北部重要的生态安全屏障.本文以1977、1987、2000、2004年和2010年遥感影像、MODIS NDVI为基础数据,通过数学模型、一元线性回归、景观格局指数的方法分析了青海湖环湖区土地利用/覆盖时空变化及景观格局特点,探讨了土地利用/覆盖变化的影响因素,最后提出青海湖环湖区土地资源管理建议.研究结果表明:近33年来青海湖环湖区土地利用/覆盖变化显著,草地、林地、水体等生态用地面积总体减少,耕地、建设用地、未利用地面积逐渐增加,土地利用/覆盖变化整体处于不平衡态,单向转换频繁;植被覆盖度总体微弱增加,变化趋势具有空间差异性;由于人类的定向选择,草地景观类型退化,景观格局趋向破碎化;土地利用/覆盖与景观格局变化是环湖区气温升高、降水增加、载畜量超载、旅游等因素共同作用的结果;基于土地利用/覆盖变化特点和影响因素,提出创建“生态友好”型土地资源管理模式,实现人地关系协调发展.     

石漠化景观格局对土地利用时空演变的响应

土地利用是人类活动最直接的表现形式,喀斯特地区的石漠化演化与土地利用变化有密切关系,石漠化治理是在人为干预下加快恢复脆弱的喀斯特生态系统.运用3S技术和景观格局空间分析技术相结合的手段,对石漠化综合治理下,紫云县水塘小流域的土地利用及石漠化景观格局时空演变关系进行了探讨.结果表明:1.2004-2010年间水塘小流域土地利用类型以林地及草地变化较多,其他地类变动较少,其中林地面积增加10％,草地面积增加5％;2.2004-2010年间水塘小流域石漠化变化主要类型为,中度石漠化转轻度石漠化面积5％,轻度石漠化转潜在石漠化面积10％;3.2004-2010年间水塘小流域土地利用和石漠化景观格局,多样性指数各提高了0.3和0.12,破碎度指数各减少了0.138和0.16,优势度指数各降低了0.181和0.126,均匀度指数各提高了0.092和0.209,分维度指数各提高了0.02和0.18.研究发现运用土地利用与石漠化转移矩阵与景观格局相结合的分析方法,可为评价石漠化治理成效提供借鉴意义.     

三江并流区云南贡山片植被景观类型分布特征

以三江并流区云南贡山片为例,以Landsat ETM+影像为数据源,基于3S技术进行植被景观制图,分析景观类型的分布特征。结果表明:1.研究区是典型的高山峡谷地区,海拔3 000~4 000 m的区域占总面积近一半,坡度25°以上的山地面积占84.82%;景观类型分布受垂直空间分异主导;河流、河漫滩和湖泊等景观主要分布在平缓地段,自然植被景观多分布在25°~45°的陡坡上,人工植被景观分布的坡度范围相对较缓;自然植被景观在各坡向上的分布较为均匀;人工植被景观及积雪/冰川景观、岩石景观等分布则体现出一定的空间分异;2.山地森林植被构成研究区景观的基质类型;由于植被景观的垂直分异,构成基底的各类景观类型的优势度随海拔变化,河谷地段的中山湿性常绿阔叶林、中山-亚高山的铁杉-常绿阔叶混交林、亚高山-高山的云冷杉/落叶松林优势度较高,高山-亚高山以杜鹃灌丛为优势景观类型;3.从斑块粒度上看,小斑块数量最多,占总斑块数的80.87%,中斑块占11.36%,其余均在3%以下;优势自然景观类型具有较大的巨斑块数;巨斑块面积比例最大,达到68.99%,其余斑块大小等级的分布面积比例在3%~9%之间。     

Integration of spatial data in vector and raster formats in a geographic information system environment

This paper examines the common methods for converting spatial data sets between vector and raster formats and presents the results of extensive benchmark testing of these procedures. The tests performed are unique in this field since: (1) they used both synthetic and real test data sets; (2) they measured conversion quality, accuracy and efficiency, not just how fast the procedure operated; and (3) they were conducted in a generic geographic information system (GIS) environment without the aid of specialized computer hardware. The results show that the best overall techniques are the ones which take advantage of spatial relationships inherent in the data sets. These were the Scan Line algorithm for vector to raster conversions and the Boundary Linking algorithm for raster to vector conversions.     

Discovering environmental data: metadatabases,network information resource tools and the GENIE system

Abstract

The existence of global computer networks in conjunction with various computer based tools offers the GIS community the possibility of identifying existing spatial data in a faster and more complete way. Using such tools could help the GIS community reduce the high costs of data collection. This paper focuses on the discovery of environmental data using metadatabases and network information resource tools and includes comments on some of the limitations of these computer based tools. The article will conclude by describing how the system developed by the GENIE project attempts to overcome some of these limitations.     

Population landscape: a geometric approach to studying spatial patterns of the US urban hierarchy

We present a geometric and graphic approach to studying spatial patterns of urban hierarchy in the US. The multiplicatively weighted Voronoi diagram is found to be effective for visualizing theoretical regions delineated by socio‐economic variables. The population landscape of the continental US demonstrates overall and stepwise patterns reflecting population, neighborhood and distance, with overwhelming influence from huge metropolitan areas. Stepwise exploration and cluster analysis of the spatial pattern reveal an urban hierarchy. Attributes and arrangement are the two important factors of urban hierarchy, with attribute having a stronger local influence and arrangement having a stronger global influence. The study also presents a variation of Zipf's law to visualize the rank‐size distribution from tabular and statistical space to map space.     

Historical aspects of soil erosion in the Mejerda catchment,Tunisia

Abstract

Agricultural use and related water erosion may lead to significant changes in the sedimentological and hydrological characteristics of watersheds, and therefore negative consequences for rural development. This research aimed to put present-day soil erosion of the important Mejerda catchment into a historical context. The catchment of Wadi Mejerda in northern Tunisia has experienced soil erosion due to weather and human impacts for thousands of years. We used historical texts and results from archaeological research that go back to 1000 BC, as well as data collected during the last century. Soil erosion from different types of agricultural landscape management was analysed together with information on the soils' production potential, the hydrographic network and flood frequency. The results showed that water erosion has increased the hydrographic network by 65 km and increased the deltaic plain by as much as 15 km²/century. However, soil productivity has decreased significantly. Moreover, due to in channel sedimentation and river choking, the number of flooding occurrences has multiplied over the last century. Finally, it is shown that water erosion follows a specific cycle of degradation throughout the watershed. These findings should be considered for better water and soil management in the context of semi-arid areas.

Editor Z.W. Kundzewicz

Citation Jebari, S., Berndtsson, R., Lebdi, F., and Bahri, A., 2012. Historical aspects of soil erosion in the Mejerda catchment. Hydrological Sciences Journal, 57 (5), 901–912.     

Contemporary glacigenic inputs to the dust cycle

The importance of glacigenic dust in the Earth's system during glacial periods is widely acknowledged. Under contemporary conditions, the world's largest dust sources are in low‐lying, hot, arid regions and this is where most aeolian research is focused. However the processes of dust production and emissions are still operating in cold climate regions, particularly in proglacial areas. This paper assesses current understanding of the relationship between glacierised landscapes and dust emissions and inputs to the global dust cycle. It focuses on how elements in the glacial and aeolian geomorphic sub‐systems interact to determine the magnitude, frequency and timing of aeolian dust emissions, and on feedback mechanisms between the systems. Where they have been measured, dust emission intensity and deposition rates in glacierised catchments are very high, in some cases far exceeding those in lower latitudes, however, few studies span long time scales. The impact of future glacier retreat on the balance between sediment supply, availability and aeolian transport capacity and implications for glacigenic dust emissions is also considered. This balance depends on relative spatial and temporal changes in meltwater suspended sediment concentration and wind strengths, which promote dust emissions, and patterns and rates of soil development and vegetation succession on recently‐deglaciated terrain which protect sediments from deflation. Retreat of the Antarctic ice sheet could mean that in future glacigenic contributions to the dust cycle exceed those of non‐glacigenic sources in the southern hemisphere. Copyright © 2012 John Wiley & Sons, Ltd.     

Using a simulation analysis to evaluate the impact of crop mapping error on crop area estimation from stratified sampling

ABSTRACT

To analyze the efficiency of area estimations (i.e. estimation accuracy and variation of estimation) impacted by crop mapping error, we simulated error at eight levels for thematic maps using a stratified sampling estimation methodology. The results show that the estimation efficiency is influenced by the combination of the sample size and the error level. Evaluating the trade-offs between sample size and error level showed that reducing the crop mapping error level provides the most benefit (i.e. higher estimation efficiency). Further, sampling performance differed based on the heterogeneity of the crop area. The results demonstrated that the influence of increasing the error level on estimation efficiency is more detrimental in heterogeneous areas than in homogeneous ones. Therefore, to obtain higher estimation efficiency, a larger sample size and lower error level or both are needed, especially in heterogeneous areas. We suggest that existing land-cover maps should first be used to determine the heterogeneity of the area. The appropriate sample size for these areas then can be determined according to all three factors: heterogeneity, expected estimation efficiency, and sampling budget. Overall, extending our understanding of the impacts of crop mapping error is necessary for decision making to improve our ability to effectively estimate crop area.     

Data model and visualization of 3D city landscape based on integrated databases

Data acquisition and modeling are the two important, difficult and costful aspects in a Cybercity project. 2D-GIS is mature and can manage a lot of spatial data. Thus 3D-GIS should make the best of data and technology of 2D-GIS. Construction of a useful synthetic environment requires integration of multiple types of information like DEM, texture images and 3D representation of objects such as buildings. In this paper, the method for 3D city landscape data model and visualization based on integrated databases is presented. Since, the data volume of raster are very huge, special strategies (for example, pyramid gridded method) must be adopted in order to manage raster data efficiently. Three different methods of data acquisition, the proper data structure and a simple modeling method are presented as well. At last, a pilot project of Shanghai Cybercity is illustrated.