青海省那棱格勒河下游绿洲区生态环境现状评价

采用归一化植被指数、景观多样性指数、景观均匀度指数等技术指标,评价那棱格勒河下游绿洲的生态环境现状。结果表明:那棱格勒河下游绿洲区主要为中植被覆盖(覆盖度30%~60%)区域,占绿洲区总面积的42.83%;低植被覆盖类型(覆盖度10%~30%)和高植被覆盖类型(覆盖度60%)次之。极低植被覆盖(覆盖度10%)区域最少,占绿洲区总面积的3.96%。稀疏草地和荒漠为该区域的优势景观,自然生产力等级低,生态系统受外界干扰后难以恢复,极易发生退化与沙化,系统的恢复稳定性与阻抗稳定性都较弱。     

干旱区内陆湖泊流域景观格局变化及其对生态环境的影响

以我国干旱区典型内陆湖泊流域——新疆艾比湖流域为研究区，对其平原区1990--2005年的景观格局动态变化特征进行了研究。结果表明，1990--2005年，研究区农田、湿地及人居地景观的面积增加，其中以农田景观的面积增加量最大；而林地、草地、沙地、戈壁和盐碱地景观的面积呈减少趋势，其中草地、盐碱地和林地景观面积减少较多；各景观类型中以盐碱地、林地、草地和戈壁的转出率较高，而以农田、人居地的转入率较高；研究区景观组份构成没有大的变化，戈壁依然是研究区景观的基质。景观格局变化对区域生态环境的影响主要表现为：农田斑块数量和面积的增加，加大了区域水资源利用压力；林地、草地斑块面积减少，使得平原区绿洲遭受风沙的危害性增大；沙地、戈壁和盐碱地面积减少，使绿洲不同区域生态环境呈现不同变化特征；湿地斑块面积略有增加，对减少艾比湖流域沙尘危害较为有利。     

内蒙古草原生态监测站着手编写《内蒙古草原生态环境十年监测报告》

近日,内蒙古自治区草原生态环境监测站为掌握全区草原生态环境的发展变化状况和近几年国家生态环境保护与建设政策的实施情况,根据呼伦贝尔市草甸草原、锡林郭勒盟典型草原、包头市达茂旗荒漠草原、阿拉善盟荒漠生态系统监测子站提供的监测数据,着手编写《内蒙古草原生态环境十年监测报告》。 摘自中国环境监测总站《环境监测信息简报》2:003年第l、2期内蒙古草原生态监测站着手编写《内蒙古草原生态环境十年监测报告》~~     

20年间艾比湖流域植被覆盖度景观格局变化

选取艾比湖流域1990年、2001年、2011年同期（9月）3期I．and．satTM遥感影像，基于归一化植被指数NDVI，提取植被覆盖等级图，利用ArcGIS9．3和Fragstas3．3对该流域植被景观的变化进行了分析研究。结果表明：1990—2011年，该流域植被覆盖度变化明显，低植被覆盖区和较低植被覆盖区都有所减少，分别由1990年的34．05％和32．94％减少到2011年的32．8％和24．06％；较高植被覆盖区和高植被覆盖区有所增加，分别由8．49％和5．20％增长到15．13％和9．83％，但水域面积退化明显，由1990年的525．9765km2缩小至494．9876km2，减少了30．9889km2，退缩幅度达O．4％；最大斑块指数（LPI）由17．04上升到21．10，香农多样性指数（SHDI）和香农均势度指数（SHEI）分别由1．5387和0．8588增长到1．6395和0．9150。表明艾比湖流域景观格局混杂程度愈来愈高，空间异质性在逐年加强，总体空间格局向破碎化趋势发展。     

甘家湖湿地边缘带土地荒漠化演变中土壤颗粒分形特征

采用分形理论,研究了甘家湖湿地边缘带不同景观变化类型土壤颗粒体积分形维数的特征。结果表明,（1）从芦苇湿地边缘、胡杨林土、梭梭灌木林土、芦苇湿地、耕地周边、耕地到盐化草甸土的土壤粒径变化可以看出：湿地边缘带土壤荒漠化演变中砂粒含量在逐渐上升,粉粒、粘粒含量逐渐下降。这表明湿地边缘带人为的放牧、开垦、牛羊践踏对土壤产生了...     

锡林浩特市露采煤炭区土地利用的扰动分析

利用锡林浩特市周边3个时期(2005,2009和2015年)的Landsat系列遥感影像,采用监督分类及人机交互解译的方法,将研究区土地利用类型分为露天采场、剥离区、排土场、矿山工业场地、农用地、城市建设用地和草地7类,对土地利用和土地覆被变化(Land-Use and Land-Cover Change,LUCC)进行分析。结果表明,草原区露天煤矿开发对草原生态系统扰动剧烈,采矿作业区(露天采场、剥离区、排土场、矿山工业场地)的面积及占比呈上升趋势,草地的面积及占比不断减少;土地利用变化转移矩阵表明,采矿扰动因素中,排土场对LUCC影响较大,对排土场进行有效复垦,可减缓生态环境破坏速度,对保护脆弱的草原生态系统具有重要意义;提出草原露采煤炭区LUCC的遥感监测可以准确反映矿区土地利用变化的动态过程和发展趋势,为矿区生态重建提供科学支持。     

干旱区内陆艾比湖流域平原区景观生态安全评价研究

在构建基于景观尺度的生态安全评价模型基础上,分析了1990-2005年干旱区内陆艾比湖流域平原区的景观生态安全变化特征。结果表明:研究区景观生态安全状况可以分为3个层次,并以河流、湖泊及沼泽为主的湿地景观所在区域的生态安全程度相对较高。1990-2005年,研究区生态安全状况呈现"V"字型变化趋势,其中生态安全评价指数相对较低区域的面积所占比例呈现先增加后减少、总体上趋于增加的状态;而生态安全指数相对较高区域的面积所占比例呈现先减少后增加、总体上趋于减少的状态。     

2001～2007年天山南坡中段不同植被类型NDVI变化分析——以新疆和静县为例

利用MODIS数据建立近7年和静县NDVI时间序列,通过采用均值法、最大合成法和一元线性回归法,分析了该区不同植被类型年内变化、年际变化趋势.结果表明,和静县植被季相变化明显,不同植被类型变化幅度差异显著;近7年大部分地区植被存在退化趋势,局部区域植被有所改善;不同植被类型退化程度从大到小为荒漠草原＞荒漠植被＞草原＞高山垫状植被＞高寒草原＞草甸 沼泽＞落叶阔叶林＞耕地;平原区植被NDVI的变化主要受人为活动的影响.山区植被NDVI除受季节性放牧影响外,更多的受气候变化的影响.     

金昌市区声环境质量状况分析

对“九五”期间金昌市区各类噪声进行了监测，五年中生活噪声占到45．3％，交通噪声占到28．0％，并据此提出了防治污染措施。     

近40年洞庭湖区地表景观演变及气候潜在响应特征

通过耦合多源遥感数据,研究1980—2015年洞庭湖区地表景观格局演变及其潜在气候响应特征。结果表明,洞庭湖区土地利用类型以耕地为主,占总面积63.67%;水体次之,占23.75%;草地最少,占0.15%。1980年以来耕地面积剧烈减少,减少342.71 km2;建设用地和水体面积呈上升趋势,分别增加278.16 km2和132.55 km2;土地利用转化方式以耕地向建设用地转化为主,转化面积232.70 km2;区域地表景观进一步破碎与复杂化。相关性分析表明,土地利用变化与降水相关性较弱,而与气温呈较显著的相关关系。此外,区域景观格局演变与气温上升呈较强的正相关关系。     

A Classification Procedure for Mapping Topo-climatic Conditions for Strategic Vegetation Planning

Environmental classification addresses issues involving the representation and analysis of continuous and variable ecological data. This study creates a methodology to define topo-climatic landscapes (TCL) in the north-west of Catalonia, which is situated in the north-east of the Iberian Peninsula. TCL provide data regarding the ecological behavior of a landscape in terms of its topography, physiognomy, and climate, which are the main drivers of an ecosystem. The variables selected are derived from a variety of different sources, such as remote sensing and climatic atlases. The methodology employed combines unsupervised iterative cluster classification with supervised fuzzy classification. Twenty eight TCL, which can be differentiated in terms of their vegetation physiognomy and vegetation altitudinal range type, were selected for the study area. Furthermore, a hierarchy among the TCL is established which permits the merging of clusters and allows for changes in thematic resolution. By using the topo-climatic landscape map, managers can identify patches with similar environmental conditions and at the same time assess the uncertainty involved in classification.     

Landscape Change and Ecosystem Classification in a Municipal District of a Small City (Isernia,Central Italy)

Landscape changes taking place from 1954 to 1992 in the muncipal district of Isernia city (Central Italy) were described in relation to a system of ecosystem classification. Isernia municipal district was selected for study because recent historic changes in this area represent a typical example of landscape transformation similar to many small cities of Italy and other Mediterranean countries. To assess overall changes, three land cover maps (scale 1:25,000) were derived from panchromatic aerial photographs and field surveys. These were then digitalised in a Geographic Information System. A Land Facet (LF) map was derived by combining a phytoclimatic, a lithostatigrafic and a topographic map, and then digitalised as data layers in the same GIS. Results demonstrated two main landscape transformation trends: forest and semi-natural areas increased (8%), whereas agricultural areas decreased (12%). The urban area was relatively small during the entire analysed period, growing from 1% in 1954, to just 5% in 1992. Forest coverage was significant on reliefs, on hillside ecosystems such as limestone and on clay and marl hills LF. Arable land was particularly significant in flat ecosystems with deeper soils, such as on recent alluvial plain LF. These temporal changes were interpreted as being related to the replacement of traditional farming methods (grazing pastures) with more intensive methods (crop fields), especially on alluvial plains.     

塔里木河下游土地利用格局的景观生态学评价

利用 1 988— 2 0 0 0年新疆塔里木河下游TM影像解译的土地覆盖 (土地利用图 )和景观多样性指数、斑块重要值、破碎度、分维数等景观生态学指标 ,进行了塔里木河下游土地利用格局的空间分布和时间动态分析。     

Mapping the Spatial Variability of Plant Diversity in a Tropical Forest: Comparison of Spatial Interpolation Methods

Knowledge of the spatial distribution of plant species is essential to conservation and forest managers in order to identify high priority areas such as vulnerable species and habitats, and designate areas for reserves, refuges and other protected areas. A reliable map of the diversity of plant species over the landscape is an invaluable tool for such purposes. In this study, the number of species, the exponent Shannon and the reciprocal Simpson indices, calculated from 141 quadrat sites sampled in a tropical forest were used to compare the performance of several spatial interpolation techniques used to prepare a map of plant diversity, starting from sample (point) data over the landscape. Means of mapped classes, inverse distance functions, kriging and co-kriging, both, applied over the entire studied landscape and also applied within vegetation classes, were the procedures compared. Significant differences in plant diversity indices between classes demonstrated the usefulness of boundaries between vegetation types, mapped through satellite image classification, in stratifying the variability of plant diversity over the landscape. These mapped classes, improved the accuracy of the interpolation methods when they were used as prior information for stratification of the area. Spatial interpolation by co-kriging performed among the poorest interpolators due to the poor correlation between the plant diversity variables and vegetation indices computed by remote sensing and used as covariables. This indicated that the latter are not suitable covariates of plant diversity indices. Finally, a within-class kriging interpolator yielded the most accurate estimates of plant diversity values. This interpolator not only provided the most accurate estimates by accounting for the indices' intra-class variability, but also provided additional useful interpretations of the structure of spatial variability of diversity values through the interpretation of their semi-variograms. This additional role was found very useful in aiding decisions in conservation planning.     

乌鲁木齐市土地利用景观格局变化研究

运用GIS、RS技术及景观生态学理论和方法,基于乌鲁木齐市2006年和2010年遥感影像解译数据,对乌鲁木齐市5年间土地利用景观格局变化特征进行分析,分别从斑块类型和景观水平2个方面对研究区土地利用景观类型进行动态分析。揭示其变化原因和内在规律,为研究区生态治理提供数据支撑,对景观的规划与管理、资源的有效利用和生物多样性保护具有重要意义。     

Evaluating the difference between the normalized difference vegetation index and net primary productivity as the indicators of vegetation vigor assessment at landscape scale

Both the net primary productivity (NPP) and the normalized difference vegetation index (NDVI) are commonly used as indicators to characterize vegetation vigor, and NDVI has been used as a surrogate estimator of NPP in some cases. To evaluate the reliability of such surrogation, here we examined the quantitative difference between NPP and NDVI in their outcomes of vegetation vigor assessment at a landscape scale. Using Landsat ETM+ data and a process model, the Boreal Ecosystem Productivity Simulator, NPP distribution was mapped at a resolution of 90 m, and total NDVI during the growing season was calculated in Heihe River Basin, Northwest China in 2002. The results from a comparison between the NPP and NDVI classification maps show that there existed a substantial difference in terms of both area and spatial distribution between the assessment outcomes of these two indicators, despite that they are strongly correlated. The degree of difference can be influenced by assessment schemes, as well as the type of vegetation and ecozone. Overall, NDVI is not a good surrogate of NPP as the indicators of vegetation vigor assessment in the study area. Nonetheless, NDVI could serve as a fairish surrogate indicator under the condition that the target region has low vegetation cover and the assessment has relatively coarse classification schemes (i.e., the class number is small). It is suggested that the use of NPP and NDVI should be carefully selected in landscape assessment. Their differences need to be further evaluated across geographic areas and biomes.     

Development of a Grassland Integrity Index Based on Breeding Bird Assemblages

We utilized landscape and breeding bird assemblage data from three Breeding Bird Survey (BBS) routes sampled from 1965–1995 to develop and test a grassland integrity index (GII) in a mixed-grass prairie area of Oklahoma. The overall study region is extensively fragmented from long-term agricultural activity, and native habitat remnants have been degraded by recent encroachment of woody vegetation, namely eastern redcedar (Juniperus virginiana L.). The 50 individual bird survey points along the BBS routes, known as stops, were used as sample sites. Our process first focused on developing a grassland disturbance index (GDI) as a measure of cumulative landscape disturbances for these sites. The GDI was based on five key landscape variables identified in an earlier species-level study of long-term avian community dynamics: total tree, shrub, and herbaceous vegetation cover indices, overall mean landscape patch size, and grassland patch core size. The GII was then developed based on breeding bird assemblage data. Assemblages were based on commonly used response guilds reflective of five avian life history parameters: foraging mode/location, nesting location, habitat specificity, migratory pattern, and dietary guild. We tested the response of 78 candidate assemblage metrics to the GDI, and eliminated those with no or poor response or with high correlations (redundant), resulting in 13 metrics for use in the final index. Individual metric scores were scaled to fall between 0 and 10, and the cumulative index to range from 0 to 100. Although broader application and refinement are possible, the avian-based GII has an advantage over labor-intensive, habitat-based monitoring in that the GII is derived from readily available long-term BBS data. Therefore, the GII shows promise as an inexpensive tool that could easily be applied over other areas to monitor changes in regional grassland conditions.     

Assessing Landscape Condition Relative to Water Resources in the Western United States: A Strategic Approach

The Environmental Monitoring and Assessment Program (EMAP) is proposing an ambitious agenda to assess the status of streams and estuaries in a 12-State area of the western United States by the end of 2003. Additionally, EMAP is proposing to access landscape conditions as they relate to stream and estuary conditions across the west. The goal of this landscape project is to develop a landscape model that can be used to identify the relative risks of streams and estuaries to potential declines due to watershed-scale, landscape conditions across the west. To do so, requires an understanding of quantitative relationships between landscape composition and pattern metrics and parameters of stream and estuary conditions. This paper describes a strategic approach for evaluating the degree to which landscape composition and pattern influence stream and estuary condition, and the development and implementation of a spatially-distributed, landscape analysis approach.     

Modeling the Hydroclimatic Disturbance of Soil Landscapes in the Southern Canadian Plains: The Problems of Scale and Place

The sensitivity of soil landscapes to climatic variability andhydroclimatic events can be expressed as a landscape change safety factor, the ratio of potential disturbance to resistance to change. The use of a geographic information system (GIS) enables the spatially-explicit modeling of landscape sensitivity, but also raises the risk of violating the characteristic scales of disturbance and resistance, because the GIS technically simplifies the extrapolation of models, and associated concepts, to landscapes and scales notrepresented by the digital data base. Embedding landscape sensitivity into hierarchy theory, the formal analysis of the hierarchical structure of complex systems, provides a conceptual framework for the transfer of models and variablesamong landscape scales. In the subhumid southern Canadian plains, major hydroclimatic events (strong winds, intense rain,rapid snow melt) cause much of the physical disturbance of soillandscapes and terrestrial ecosystems. Prolonged dry or wet weather influences the resistance of soil and vegetation to these events. The potential disturbance of soil landscapes therefore can be derived from the probabilities of extreme events and seasonal conditions, as recorded in instrumental and proxy climate records. This time series analysis can belinked to the modeling of landscape sensitivity by establishingthe probabilities of hydroclimatic events and climatic conditions which may exceed or lower the resistance of individual soil landscapes.