南四湖自然保护区生态环境遥感监测与评价

基于2000—2019年卫星遥感影像,分析山东省南四湖省级自然保护区2000年以来的土地利用状况,并计算其生态保护状况指数。结果表明:2000—2019年,南四湖省级自然保护区城乡建设用地面积呈增加趋势,水域湿地面积呈减少趋势。其中,湖泊等自然湿地面积减少,而水库坑塘、河渠等人工湿地增加。2000年以来,南四湖省级自然保护区生态保护状况总体为优。与2000年相比,生境质量指数略有下降,开发干扰指数逐年增大,自然保护区生态保护状况指数整体呈下降趋势。     

伊犁河谷景观格局变化分析

景观生态学是宏观生态研究的一个新的领域.景观动态变化研究,是目前景观生态学中的一个研究热点.基于伊犁河谷2000年、2005年夏季有效时相Landsat TM/ETM 遥感影像资料,综合运用遥感与GIS技术,通过采用分维数,多样性指数,破碎度指数和边界密度等指数,分析了伊犁河谷景观动态变化.研究结果表明:①草地、水域和林地面积大幅度减少,耕地和城乡居民工矿交通用地猛增,城市化进程加快;②伊犁河谷斑块数目增多,景观边缘密度增加,景观破碎度增大,伊犁河谷景观异质性和景观形状的复杂性程度略微提升;③景观基质依然为草地,草地破碎度稍增,草地的多样性和异质性下降;④耕地的斑块数减少而斑块面积增大,破碎化程度降低,耕地的稳定性加强.     

基于3S技术的庄河市滨海湿地景观格局演变研究

庄河市位于黄海北部沿海地区,自然海岸线长达285km,拥有丰富的滨海湿地资源,对区域经济的发展具有显著的促进作用.以庄河市2000年和2010年的Landsat TM（或ETM）遥感影像获取研究区的滨海湿地斑块图形数据,选用生态意义较明确的景观特征指数,对庄河市滨海湿地的景观格局变化进行研究.研究结果表明,2000-2010年,庄河市滨海湿地总面积不断缩减,由2000年的131252.60hm2减少到2010年的121489.16hm2,减少幅度为7.44％;湿地斑块数不断增加,由2000年的3425块增加到2010年的3563块;湿地景观多样性指数（H）和景观形状指数（LSI）呈增加趋势,分别由2000年的0.6315和14.0分别增加到2010年的0.8554和18.7;景观优势度指数呈下降趋势,由2000年的0.8359下降到2010年的0.7364,表明庄河市滨海湿地的景观破碎化程度越来越严重.     

淮北市土地利用景观格局变化分析

以1987年和2000年TM影像为数据源,在ENVI 4.4平台下提取淮北市(相山建成区)1987-2000年土地利用/覆盖动态变化信息,利用FRAGSTATS 3.3软件提取研究区的斑块指数、多样性指数、优势度、破碎度、分维度及形状指数等景观格局指标,并进行分析.     

四川丘陵地区土地整理项目景观格局变化分析——以仪陇马鞍镇南海村土地整理项目为例

以仪陇马鞍镇南海村土地整理项目区为例,以土地整理前后1:2000实地调绘结果数据为基本数据源,采用景观格局指数分析其景观格局变化,探讨土地整理对景观变化的影响.结果表明,坡(地)改梯(田)后耕地中田块斑块数量和斑块密度增加,平均斑块面积和最大斑块指数减小,景观破碎度增加;耕地类中的旱地、农村宅基地及林地斑块数量和斑块密度降低,平均斑块面积和最大斑块指数增大,景观破碎度降低,景观形状较整理前变得规则;景观多样性指数和景观丰度指数降低,景观类型有所减少.     

大渡河流域泸定段土地利用景观格局动态研究

对泸定县1994年TM影像和2002年ETM＋影像进行了数字图像处理和解译，得到两个时期的土地利用景观类型图，通过计算相关景观格局指数，定量研究了土地利用景观格局的纵向变化情况。结果表明：1994-2002年间，研究区以林地的变动为主要特征，8年间林地面积增加7590．395hm^2，而草地、耕地和其它土地面积减少，主要是转化为林地，其主要推动力是退耕还林政策的实施，景观破碎化程度增加，多样性和异质性提高，说明整个景观中斑块的分布趋于均匀化。     

大尺度下土地利用与景观格局演变分析--以湛江海洋大学主校区为例

通过分析景观斑块的分离度、多样性、均匀性等指数，总结了大学校园土地利用与景观类型的关系，对优化校园景观格局具有现实指导意义。以湛江海洋大学主校区1996年和2005的遥感影像为信息源．在大尺度下利用GIS技术计算和分析主校区各类景观和总体景观的演变情况。结果表明．湛江海洋大学主校区整体景观的孔隙度、多样性、均匀度增加，而破碎度、优势度减小。     

农牧交错区生态系统服务价值评价

以宁夏盐池县为研究对象,以2000年、2005年、2010年、2015年4期TM影像为数据源,综合运用生态系统服务价值指数、敏感性指数和空间分析法,对研究区近15年生态系统服务价值进行研究。结果表明:2000-2015年,盐池县林地、水域和建设用地持续增加,耕地、沙地和未利用地减少;生态系统服务价值主要以较高值区为主,且增加1.35亿元。     

成都市热力景观空间格局分析

城市热力景观空间格局是城市附属物和城市活动性在热场方面的综合表现。使用2008年11月23日的Landsat5/TM数据,将第6波段反演为亮温,并按温度值的高低把热力景观分为7个类型;借鉴景观生态学的原理和方法,以破碎度指数、多样性指数、均匀度指数和优势度指数为评价指标,对成都市三环路内约200km2热力景观空间格局的研究结果表明：5个行政区的热力景观格局指数存在显著差别,如锦江区的破碎度指数最大,为0.924,成华区的最小,为0.559,指数大小与城市热力景观类型的分布特点密切相关。这些结果对于分析和研究城市整体格局、城市规划和环境保护等具有应用意义。     

川西盆周山地土地利用/覆被变化与生态发展模式--以雅安市天全县为例

采用GIS和数理统计方法,以及景观生态学中的空间格局指数对天全县1992～2002年土地利用/覆被变化特征进行研究.结果表明:林地在各种土地利用类型中占的比例最大,且呈逐年递增趋势,2002年达79．14％,但年变化率则很小,只有0.29%;耕地占的比例很小,仅有5.50%,而且10年间面积减少了4813.3hm2,但年变化率比林地大,高达2.68%.受人类活动的影响,10年间多样性指数和均匀度指数呈上升趋势,而优势度指数不断下降.由此得出产生土地利用/覆被变化的机制是受地形条件和自然灾害等自然因素的影响,同时更受人口增长、城市化进程以及政府政策等社会经济因素的驱动.从而有针对性地提出生态发展模式的建议,以期为土地资源的可持续利用提供借鉴.     

基于TM影像的石羊河流域土地利用变化研究

根据1999年和2010年两期影像数据,在遥感软件EDARS IMAGINE9.1的支持下对图像进行技术处理,通过计算机自动分类方法提取土地利用信息,将石羊河流域土地利用类型分为耕地、草地、林地、建筑用地、水域及未利用地,同时利用数学模型和景观生态学理论,分析了石羊河流域土地利用变化的时空特征和格局变化。研究结果表明,1999-2010年间耕地和未利用地的面积变化最大,变化量占到总流域面积的比例分别为3.94%和2.42%;水域、林地、耕地的土地利用动态度明显,依次为3.06%,1.82%和1.12%;11年间草地、耕地和水域的流转较为剧烈,变化速率较快;11年间石羊河流域的土地利用偏离度为持续缓慢下降的趋势,下降幅度达到0.04,土地利用活动对自然景观的干预趋于缓和;景观优势度增大,景观多样性和景观均匀度有所减少,人类活动对景观格局影响明显;人口、经济因素和政策因素在短时间尺度上对土地利用变化的影响较为显著。     

Regionalization of Landscape Pattern Indices Using Multivariate Cluster Analysis

Regionalization, or the grouping of objects in space, is a useful tool for organizing, visualizing, and synthesizing the information contained in multivariate spatial data. Landscape pattern indices can be used to quantify the spatial pattern (composition and configuration) of land cover features. Observable patterns can be linked to underlying processes affecting the generation of landscape patterns (e.g., forest harvesting). The objective of this research is to develop an approach for investigating the spatial distribution of forest pattern across a study area where forest harvesting, other anthropogenic activities, and topography, are all influencing forest pattern. We generate spatial pattern regions (SPR) that describe forest pattern with a regionalization approach. Analysis is performed using a 2006 land cover dataset covering the Prince George and Quesnel Forest Districts, 5.5 million ha of primarily forested land base situated within the interior plateau of British Columbia, Canada. Multivariate cluster analysis (with the CLARA algorithm) is used to group landscape objects containing forest pattern information into SPR. Of the six generated SPR, the second cluster (SPR2) is the most prevalent covering 22% of the study area. On average, landscapes in SPR2 are comprised of 55.5% forest cover, and contain the highest number of patches, and forest/non-forest joins, indicating highly fragmented landscapes. Regionalization of landscape pattern metrics provides a useful approach for examining the spatial distribution of forest pattern. Where forest patterns are associated with positive or negative environmental conditions, SPR can be used to identify similar regions for conservation or management activities.     

Land Use and Land Cover Change Analysis and Prediction in the Upper Reaches of the Minjiang River,China

Scientists have aimed at exploring land use and land cover change (LUCC) and modeling future landscape pattern in order to improve our understanding of the causes and consequences of these phenomena. This study addresses LUCC in the upper reaches of Minjiang River, China, from 1974 to 2000. Based on remotely sensed images, LUCC and landscape pattern change were assessed using cross-tabulation and landscape metrics. Then, using the CLUE-S model, changes in area of four types of land cover were predicted for two scenarios considering forest polices over the next 20 years. Results showed that forestland decreased from 1974 to 2000 due to continuous deforestation, while grassland and shrubland increased correspondingly. At the same time, the farmland and settlement land increased dramatically. Landscape fragmentation in the study area accompanied these changes. Forestland, grassland, and farmland take opposite trajectories in the two scenarios, as does landscape fragmentation. LUCC has led to ecological consequences, such as biodiversity loss and lowering of ecological carrying capacity.     

A Multi-scale Spatial Analysis of Native and Exotic Plant Species Richness Within a Mixed-Disturbance Oak Savanna Landscape

Impacts of human land use pose an increasing threat to global biodiversity. Resource managers must respond rapidly to this threat by assessing existing natural areas and prioritizing conservation actions across multiple spatial scales. Plant species richness is a useful measure of biodiversity but typically can only be evaluated on small portions of a given landscape. Modeling relationships between spatial heterogeneity and species richness may allow conservation planners to make predictions of species richness patterns within unsampled areas. We utilized a combination of field data, remotely sensed data, and landscape pattern metrics to develop models of native and exotic plant species richness at two spatial extents (60- and 120-m windows) and at four ecological levels for northwestern Ohio’s Oak Openings region. Multiple regression models explained 37–77 % of the variation in plant species richness. These models consistently explained more variation in exotic richness than in native richness. Exotic richness was better explained at the 120-m extent while native richness was better explained at the 60-m extent. Land cover composition of the surrounding landscape was an important component of all models. We found that percentage of human-modified land cover (negatively correlated with native richness and positively correlated with exotic richness) was a particularly useful predictor of plant species richness and that human-caused disturbances exert a strong influence on species richness patterns within a mixed-disturbance oak savanna landscape. Our results emphasize the importance of using a multi-scale approach to examine the complex relationships between spatial heterogeneity and plant species richness.     

Decision Tree Algorithm for Detection of Spatial Processes in Landscape Transformation

The conversion of landscapes by human activities results in widespread changes in landscape spatial structure. Regardless of the type of land conversion, there appears to be a limited number of common spatial configurations that result from such land transformation processes. Some of these configurations are considered optimal or more desirable than others. Based on pattern geometry, we define ten processes responsible for pattern change: aggregation, attrition, creation, deformation, dissection, enlargement, fragmentation, perforation, shift, and shrinkage. A novelty in this contribution is the inclusion of transformation processes causing expansion of the land cover of interest. Consequently, we propose a decision tree algorithm that enables detection of these processes, based on three parameters that have to be determined before and after the transformation of the landscape: area, perimeter length, and number of patches of the focal landscape class. As an example, the decision tree algorithm is applied to determine the transformation processes of three divergent land cover change scenarios: deciduous woodland degradation in Cadiz Township (Wisconsin, USA) 1831–1950, canopy gap formation in a terra firme rain forest at the Tiputini Biodiversity Station (Amazonian Ecuador) 1997–1998, and forest regrowth in Petersham Township (Massachusetts, USA) 1830–1985. The examples signal the importance of the temporal resolution of the data, since long-term pattern conversions can be subdivided in stadia in which particular pattern components are altered by specific transformation processes.     

石油开发对辽河油田湿地景观格局变化的影响分析

通过对1989-2009年20年间景观格局的空间分布、变化特征以及变化趋势分析,揭示了造成双台子河自然保护区环境变化的主要驱动力是人类活动和社会经济发展的影响,定量计算了石油开发对研究区域景观格局变化的影响。结果显示:1989-2009年双台河口自然保护区的土地利用类型发生了很大的变化,景观破碎度明显增加,人类活动导致保护区内的土地利用和景观格局也发生了明显变化,但油田开发在总的土地利用变化中的贡献率仅为4.6%。     

Landscape Trends in Mid-Atlantic and Southeastern United States Ecoregions

Landscape pattern and composition metrics are potential indicators for broad-scale monitoring of change and for relating change to human and ecological processes. We used a probability sample of 20-km × 20-km sampling blocks to characterize landscape composition and pattern in five US ecoregions: the Middle Atlantic Coastal Plain, Southeastern Plains, Northern Piedmont, Piedmont, and Blue Ridge Mountains. Land use/land cover (LULC) data for five dates between 1972 and 2000 were obtained for each sample block. Analyses focused on quantifying trends in selected landscape pattern metrics by ecoregion and comparing trends in land cover proportions and pattern metrics among ecoregions. Repeated measures analysis of the landscape pattern documented a statistically significant trend in all five ecoregions towards a more fine-grained landscape from the early 1970s through 2000. The ecologically important forest cover class also became more fine-grained with time (i.e., more numerous and smaller forest patches). Trends in LULC, forest edge, and forest percent like adjacencies differed among ecoregions. These results suggest that ecoregions provide a geographically coherent way to regionalize the story of national land use and land cover change in the United States. This study provides new information on LULC change in the southeast United States. Previous studies of the region from the 1930s to the 1980s showed a decrease in landscape fragmentation and an increase in percent forest, while this study showed an increase in forest fragmentation and a loss of forest cover.     

Anthropogenic effects on the biodiversity of riparian wetlands of a northern temperate landscape

Land uses such as forestry and agriculture are presumed to degrade the biodiversity of riparian wetlands in the northern temperate regions of the United States. In order to improve land use decision making in this landscape, floral and faunal communities of 15 riparian wetlands associated with low-order streams were related to their surrounding land cover to establish which organismal groups are affected by anthropogenic disturbance and whether these impacts are scale-specific. Study sites were chosen to represent a gradient of disturbance. Vascular plants of wet meadow and shrub carr communities, aquatic macro-invertebrates, amphibians, fish and birds were surveyed, and total abundance, species richness and Shannon diversity were calculated. For each site, anthropogenic disturbances were evaluated at local and landscape scales (500, 1000, 2500 and 5000 m from the site and the site catchment) from field surveys and a geographic information system (GIS). Land use data were grouped into six general land use types: urban, cultivated, rangeland, forest, wetland and water. Shrub carr vegetation, bird and fish diversity and richness generally decrease with increasing cultivation in the landscape. Amphibian abundance decreases and fish abundance increases as the proportions of open water and rangeland increases; bird diversity and richness increase with forest and wetland extent in the landscape. Wet meadow vegetation, aquatic macro-invertebrates, amphibians and fish respond to local disturbances or environmental conditions. Shrub carr vegetation, amphibians and birds are influenced by land use at relatively small landscape scales (500 and 1000 m), and fish respond to land use at larger landscape scales (2500, 5000 m and the catchment). Effective conservation planning for these riparian wetlands requires assessment of multiple organismal groups, different types of disturbance and several spatial scales.1998 Academic Press     

PREDICTABILITY OF SURFACE WATER POLLUTION LOADING IN PENNSYLVANIA USING WATERSHED‐BASED LANDSCAPE MEASUREMENTS1

ABSTRACT: We formally evaluated the relationship between landscape characteristics and surface water quality in the state of Pennsylvania (USA) by regressing two different types of pollutant responses on landscape variables that were measured for whole watersheds. One response was the monthly exported mass of nitrogen estimated from field measurements, while the other response was a GIS‐modeled pollution potential index. Regression models were built by the stepwise selection protocol, choosing an optimal set of landscape predictors. After factoring out the effect of physiography, the dominant predictors were the proportion of “annual herbaceous” land and “total herbaceous” land for the nitrogen loading and pollution potential index, respectively. The strength of these single predictors is encouraging because the marginal land cover proportions are the simplest landscape measurements to obtain once a land cover map is in hand; however, the optimal set of predictors also included several measurements of spatial pattern. Thus, for watersheds at this general hierarchical scale, gross landscape pattern may be an important influence on instream pollution loading. Overall, there is strong evidence that using landscape measurements alone, obtained solely from remotely sensed data, can explain most of the water quality variability (R²= approx. 0.75) within these watersheds.     

Analysis of Changes in Farm Pond Network Connectivity in the Peri-Urban Landscape of the Taoyuan Area,Taiwan

The farm pond system for irrigation is the most prominent feature in the Taoyuan area, Taiwan, giving the region a unique landscape and hydrological character. Although this area had more than 3,290 ponds in the 1970s, fewer than 1,800 now remain. This study analyzes changes in irrigation farm ponds and the canal network landscape in the Taoyuan area. The spatial and temporal changes to ponds and the canal network on the Taoyuan plain were examined graphically for each spatial unit (2,765 m × 2,525 m) using aerial photographs for 1979 and 2005. Landscape metrics were calculated to analyze landscape change associated with increased urbanization. Landscape indices of connectivity and circuitry were utilized to describe changes in the configuration of ponds and canal networks. The total length of canals and total number of ponds in the study area decreased significantly during 1979-2005. The average values of connectivity indices (γ- and α-index) also decreased during 1979-2005, reflecting degradation of canal networks due to urban sprawl. A multivariate technique was applied to portion the study area into three zones according to changes to land cover, ponds, and canal networks. The effects of urban sprawl on the spatial pattern of ponds and canal networks are discussed.