基于景观指数聚类的粤北典型区景观生态区划

通过选取不同层次的景观指数,对粤北典型区域的景观生态子区进行分区研究,探讨了景观指数在景观生态区划方面的应用,为景观生态区划提供了一种新的思路和方法。采用2009年广东省南雄市DOM数字正射影像为数据源,应用ENVI 4.3和ARCGIS 9.3对遥感影像进行解译和分类,把研究区景观类型分为耕地、林地、疏林地、城镇建设用地、水体、未利用地6大类;根据镇级行政界线把研究区分为18个景观生态子区;选取不同层次的景观指数,应用Fragstats 3.3计算研究区的景观指数;以经过筛选后的景观指数为变量因子,18个景观生态子区为聚类对象,在SPSS 17.0中选择Q型聚类欧式距离平方法进行聚类分析,在聚类图谱中选择水平距离7.5为标准线,对景观子区进行分类,把18个景观生态子区分为4个区域。聚类结果显示,各分区内子区的景观结构特征高度一致。把景观指数应用到景观生态区划,通过聚类分析,分区结果能够较好的反映景观生态结构的显著特征与空间分异状况。     

三江平原淡水湿地生态系统景观格局特征研究——以洪河湿地自然保护区为例

对我国所剩为数不多的淡水湿地植物生态系统原生景观结构特征进行定量分析对于湿地保护与恢复具有重要意义。论文以多年期遥感影像提取洪河国家级湿地自然保护区植物分类信息,在GIS支持下,进行了群落、植被型和景观带3个尺度的景观格局分析。结果表明,草甸灌丛景观是研究区的基质性景观,草甸和沼泽湿地共同占据了研究区植被型的核心地位,小叶章-苔草群落则是植物优势群落。植物生态系统空间格局特征表现为:草甸灌丛分布在广阔的河间干湿交替地带,沼泽湿地主要成条带延伸于河道与洼地带,岛状林则出现在地势较高的岗地段,呈断块分布。研究区典型沼泽湿地面积7年间缩小约10%,周边人类活动造成水资源缺失是退化主要驱动因素,应尽早实行以流域为管理单元的自然资源管理体制。     

黄土残塬区不同种植类型下耕地土壤肥力与经济效益耦合关系研究

塬地农田作为黄土高原地区发展种植业的最佳区域,近年来由于人类对农业种植类型的不合理选择,使得该区域土壤保肥持水的水平降低,且已对作物生长及农业经济发展产生严重威胁,故本文旨在研究该区域不同种植类型下耕地土壤肥力和经济效益耦合关系,从而选取合适的种植类型。本研究选取晋西南塬地四种典型样地类型(玉米、棉花、马铃薯、荒地)为研究对象,对2019年、2020年全生育期(3—10月)土壤肥力及产值产量进行测定,基于实验数据采用耦合协调度模型综合分析各作物种植下肥力、经济效益状况及耦合协调度。结果表明：(1)不同种植类型下土壤肥力有显著差异,其中马铃薯种植下土壤肥力最高;(2)不同生育期土壤肥力变化有异,除土壤含水量外各肥力指标在快速发育期含量最高而生长中期显著降低,土壤含水量在快速发育期含量最低;(3)各土壤肥力指标含量在20—40 cm土层较高,土壤含水量在0—20 cm土层含量较低;(4)各种植类型下经济效益排序为棉花>马铃薯>玉米>荒地,其中棉花经济效益分别为马铃薯、玉米和荒地的1.17倍、1.36倍和3.40倍;(5)马铃薯种植下耦合协调度最高,棉花和玉米次之,荒地最低...     

基于景观生态学的生态功能区划研究——以重庆市长寿区为例

针对目前生态功能区划仅从区域生态要素、生态敏感性与生态服务功能空间分异规律等方面考虑,而很少涉及景观格局特征与景观稳定度等景观生态学的内容;文章在景观生态学理论基础上,提出一套基于景观生态学的区域生态功能区划理论;一方面有助于生态功能小区的划分;另一方面可以弥补原有生态保育措施只考虑生态敏感性和生态服务功能重要性的不足,从景观生态学角度提出具有针对性的生态保育措施。文章将所建立的理论与方法用于重庆市长寿区生态功能区划,区划结果为:将重庆市长寿区划分为3个生态亚区,9个生态功能区和21个生态功能小区,与未考虑景观稳定度的生态功能区划相比,考虑景观稳定度的生态功能区划多了四个生态功能小区,而这四个生态功能小区的划出,有助于进一步针对具体问题,从生态学和景观生态学的角度提出生态保育措施,对重庆市长寿区环境保护和生态建设具有重要的指导意义。     

基于CA-Markov模型的艾比湖流域平原区景观格局动态模拟预测

利用“3S”技术及CA-Markov模型,按照是否实施跨流域调水工程2种预案情况,以2005年为起始时刻,对新疆艾比湖流域平原区2020年景观格局进行模拟预测。结果显示：在调水工程未实施的情况下,2020年研究区的生态环境将进一步恶化,其突出表现为艾比湖湖泊水面将持续萎缩、裸露湖底盐漠面积进一步扩大,水资源短缺及生态环境恶化的结果将严重制约研究区社会经济的发展;在调水工程实施的情况下,2020年研究区内艾比湖湖泊水面将稳定增加至800 km^2以上、裸露湖底盐漠面积相应有所减少,生态环境恶化趋势得到改善,区域水资源短缺问题将有所缓解,可有效地促进研究区内社会经济的发展。     

Energy-Based Land Use Predictors of Proximal Factors and Benthic Diatom Composition in Florida Freshwater Marshes

The Landscape Development Intensity index (LDI), which is based on non-renewable energy use and integrates diverse land use activities, was compared to other measures of LU (e.g., %agriculture, %urban) to determine its ability for predicting benthic diatom composition in freshwater marshes of peninsular Florida. In this study, 70 small, isolated herbaceous marshes located along a human disturbance gradient (generally agricultural) throughout peninsular Florida were sampled for benthic diatoms and soil and water physical/chemical parameters (i.e., TP, TKN, pH, specific conductance, etc.). Landscape measures of percent agriculture, percent urban, percent natural, and LDI index values were calculated for a 100 m buffer around each site. The strongest relationships using Mantel's r statistic, which ranges from −1 to 1, were found between benthic diatom composition, the combined soil and water variables, and LDI scores (r=0.51, P<0.0001). Although similar, soil and water variables alone (r=0.45, P<0.0001) or with percent agriculture or percent natural were not as strongly correlated (both Mantel's r=0.46, P<0.0001). Little urban land use was found in the areas surrounding the study wetlands. Diatom data were clustered using flexible beta into 2 groups, and stepwise discriminant analysis identified specific conductance, followed by LDI score, soil pH, water total phosphorus, and ammonia, as cluster-separating variables. The LDI explained slightly more of the variation in species composition than either percent agriculture or percent natural, perhaps because the LDI can combine disparate land uses into a single quantitative value. However, the ecological significance of the difference between land use metrics and diatom composition is controvertible, and additional tests including more varied land uses appear warranted.     

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.     

Monitoring Australian Rangeland Sites Using Landscape Function Indicators and Ground- and Remote-Based Techniques

If the goal for managing rangelands is to achieve a balance between production and conservation, then monitoring is essential to detect change and apply corrective action. In some range-land areas of northern Australia, monitoring has detected a tilt in the production-conservation balance towards excessive production. How big is this imbalance? Can it shift back? Robust monitoring is needed to answer these questions. The aim is to know what to monitor, and where. For example, to detect changes caused by livestock on rangeland forage production and soil erosion, indicators linking grazing disturbances to landscape function are needed, that is, indicators that signal how well landscapes are capturing, concentrating, and utilizing scarce water, nutrient, and organic resources. Studies in Australia and the USA document that simple vegetation and soil patch attributes can be measured as indicators of the 'state of health' of landscape function. For example, field and remote sensing-based grazing studies in Australia document that landscapes with a high cover of perennial plant patches function effectively to capture runoff water and nutrients in sediments, whereas landscapes with a low cover of these patches do not — they are dysfunctional — as indicated by large patches of bare soil. Aerial videography is proving to be a robust technique for measuring indicators of landscape function such as small patches of vegetation and the extent of bare soil. These indicators typically have a sigmoidal response to grazing impacts. We illustrate that if these indicators are measured on monitoring sites established near the sigmoidal 'point of inflection’ then small changes in these indicators can be detected.     

人工园林大面积种植区土地利用/覆被变化对生态系统服务价值影响

近10a来由于经济利益的驱动,橡胶、茶园、咖啡和桉树等人工园林在云南省西南部西盟县大规模种植,使土地利用结构和布局发生了较大变化,影响了种植区的生态系统服务价值。以西盟县为研究对象,基于2000年、2005年和2010年的遥感影像解译的土地利用/覆被数据,参照"中国生态系统单位面积生态服务价值当量",修订了西盟县生态系统单位面积服务价值,结合敏感度分析,探讨了土地利用/覆被变化及其对生态系统服务价值的影响。结果表明:(1)2000~2010年西盟县的耕地、园地、水域和乡镇用地面积增加,林地和草地面积减少,西南部的土地利用/覆盖类型相互转化主要表现在林地和耕地转化为园地,而东北部表现在林地转化为耕地;(2)从时间上看,生态系统服务价值呈减少趋势,10 a间净减少106.29×106元,林地的生态系统服务价值始终最高;(3)研究期内,只有食物生产服务有价值量的增加,其余生态系统服务的价值量均为不同程度的减少;(4)从空间上看,西盟县生态系统服务价值东北部和东南部高,西部、中部和东部低。力所乡生态系统服务价值有小幅度增加,其余乡镇均呈减少趋势。西盟县以经济利益为目的的发展模式给生态系统服务和可持续发展带来巨大压力,在一定程度上使区域整体生态效应下降。因此,西盟县的发展应该在保证生态系统稳定的前提下,适当发展园地,同时优化土地利用结构,在生态效益和经济利益之间,找到双赢的平衡点。     

基于景观尺度的流域土地覆被变化及其水文响应

水资源短缺已成为限制华北地区社会经济发展的主要因子之一,其中山区来水减少问题已成为该区域水资源研究亟待解决的关键问题。采用景观格局分析法及统计学方法对华北土石山区典型流域--红门川流域土地/覆被变化及其水文动态响应进行分析。结果表明：(1)1990～2005年流域景观呈破碎化趋势,其中,优势景观林地在研究时段内面积变化不大;耕地、建设用地面积增加趋势显著,增幅分别为431%和444%;水域减少趋势最为明显,减幅达208%。(2)土地利用/覆被变化对流域径流有显著调节作用：随着土地结构不断优化,森林、耕地面积的增加,1998～2005年流域平均年径流系数较1990～1998年下降77%;丰、平和枯水年径流系数则分别减少64%、31%和85%;当剔除降水因素后,土地利用景观结构优化使得月径流系数减少16%～100%。(3)土地利用/覆被变化对流域径流的调节作用呈现季节性,植物生长季径流调节尤为显著