A study on the carrying capacity of the available habitat for the Rhinopithecus bieti population at Mt. Laojun in Yunnan, China

Background, aim, and scope  The Yunnan snub-nosed monkey is one of the most endangered primates in the world. It is experiencing a range of ongoing threats and the persisting effects of past disturbances. The prospects for this species are not very optimistic because habitat corridors are severely damaged by logging, grazing, and mining. Each group of the monkeys in different areas is facing a unique variety of threats. Based on genetic analysis, Rhinopithecus bieti should be separated into three management units for conservation, of which the Mt. Laojun management unit involves the most endangered primates. Despite the fact that the vegetation on Mt. Laojun is in a relatively pristine state, only two groups of monkeys, of a total of fewer than 300, survive in the area. With this paper, we aimed to address the capacity of the monkeys’ habitat at the study site and the possible reasons for the small populations. Materials and methods  Rapid ecological assessment based on a SPOT 5 image and field survey was used to simulate the vegetation of the whole area based on reference ecological factors of the GIS system. The vegetation map of the site was thus derived from this simulation. Based on the previous studies, the three vegetation types were identified as the suitable habitat of the monkeys. The confusion matrix-based field GPS points were applied to analyze the precision of the habitat map. Based on the map of suitable habitat of the monkeys, the utilization of the habitat and the carrying capacity were analyzed in the GIS. Results  The confusion matrix-based field GPS points were applied to the habitat analysis process, and it was found that the habitat map was 81.3% precise. Then, with the current habitat map, we found that the mixed forest currently used by the monkeys is only a very small fraction (2.65%) of the overall potential habitat of the population, while the dark conifer forest is 4.09%. Discussion  Poaching is the greatest short-term threat to this species, particularly in the southern range where local residents have a strong tradition of hunting. Quite a few individual monkeys are still trapped accidentally due to the high density of traps. These problems are hard to mitigate because it is difficult to enforce laws due to the extremely rugged terrain. Conclusions  The results show that there is a great ecological capacity of the area for the monkey’s survival and a great potential for an expansion of the monkey population at the site. Based on the current population and its geographical range, it can be estimated that the suitable habitat area defined by this study can support more monkeys, about many times the current population. Thus, at least in the Mt. Laojun Area, poaching pressure is the main factor to be responsible for the low density of Yunnan snub-nosed monkeys instead of habitat alteration. Recommendations and perspectives  Based on these results, some suggestions relating to conservation can be made: Focus conservation efforts on the current distribution area of the monkeys and create a 20 km buffer zone; design a long-term plan for the suitable habitat outside the buffer zone to set up a wildlife corridor in the long run; establish an association for the local hunters exploiting, their knowledge on the animals to promote monkey conservation and stop poaching. Also, the map derived from the study helps managers to allocate conservation resources more efficiently and enhances the overall outcomes of conservation measures.     

基于多源遥感影像融合的武汉市土地利用分类方法研究

准确高效的获取土地利用信息,对于合理利用和开发土地资源具有十分重要的意义。在快速城镇化地区,土地利用活动频繁且密集,土地利用格局演变十分剧烈,增加了城市土地利用精准分类的不确定性;且受环境气候和云雨天气影响增加了有效光学影像获取的难度。为提高城市土地分类精度,该文选取武汉市中心城区为研究案例,以Sentinel-1A和Landsat8 OLI影像为数据源,采用Gram-Schmidt变换方法进行影像融合,选取最大似然、支持向量机、CART决策树、BP神经网络等4种分类方法对融合的影像进行分类,提取了研究区土地利用信息,并对其进行分析。进一步,通过与光学影像的分类结果对比,探究了Sentinel-1A和Landsat8 OLI融合影像在土地利用信息提取方面是否具有优势。研究结果表明:(1)对比其他3种方法,CART决策树分类方法对于融合后的影像分类精度最高,总体分类精度和Kappa系数分别达到88.55%和0.841 4;(2)与光学影像相比,Sentinel-1A和Landsat8 OLI融合影像可以更有效地获取高精度城市土地利用信息;(3)基于多源遥感影像融合的CART决策树分类方法是获取研究区高精度土地利用信息的一种行之有效的技术手段。研究成果可为快速城镇化区域的土地利用分类提供参考。     

丹江口库区土地利用/覆被与景观格局变化

丹江口水库作为南水北调中线工程水源地，其库区的土地利用/覆被变化可能带来的生态环境效应备受关注。以2000和2004年的多源遥感影像为主要数据源，解译生成土地分类数据，对研究区内土地利用变化总体特征、速度、景观优势度变化以及景观生态效应进行了分析。结果显示：库区在这4年间土地利用整体结构上没有显著改变，但是耕地、建设用地增加，林地、未利用地减少。景观多样性指数及景观均匀性指数呈下降趋势，说明景观异质程度下降，景观类型有向单一化及非均衡化方向发展的趋势。林地减少加剧库区的水土流失，导致库区的生态环境质量下降，应采取措施促使库区经济与生态环境良性地协调发展。     

Detecting Differences in Crown Transparency Assessments Between Countries using the Image Analysis System Croco

Estimates of crown transparency calculated using the semi-automatic image analysis system CROCO were compared withthe visual estimates of survey teams from 12 European countries.For each of five European species (Norway spruce (Picea abies (L.) Karst.), silver fir (Abies alba Mill.), Scotspine (Pinus sylvestris L.), beech (Fagus sylvatica L.), oak (Quercus robur L.)) 15 trees were assessed. In 64\% of the comparisons, CROCO estimates and the survey teams' scores differed significantly, while differences between countries were significant in 58 % of all comparisons. We calculated Spearman's rank correlation and the standard deviation of the differences between CROCO and each country and between pairs of countries. We then computed the medians for CROCO and each country. CROCO and only a few countries hadfor all species a higher median correlation and lower median standard deviation than the median for the comparison between countries. In addition no country had a consistently higher correlation or lower standard deviation than CROCO. We concludethat CROCO can provide more consistent and less variable estimates of crown transparency than visual assessments and that it can serve as a reference to detect differences in visualtransparency assessments between countries over time.     

城市周边活断层探测中遥感技术的应用

详细探查城市及其周边地区的活断层对城市防震减灾具有重要的意义.现代卫星遥感技术可在大城市活断层探测的初期工作中发挥重要的作用.选择合适的遥感数据源和恰当的遥感数字图像处理方法是非常重要的,要有针对性地制定切实可行的遥感应用工作规范和工作流程,使之能最大限度地发挥遥感资源的作用.     

城市泥石流易损性评价

本文探讨了城市泥石流易损性评价的系统方法,该方法包括:易损体类型划分,易损体数量调查统计,评价模型构建和核算易损体价值等主要内容.目前对地观测技术可以更精确地用于城市泥石流易损性分析,并对城市居民房屋、基础设施和农业用地等进行易损性评价.本研究以美国高分辨率的"快鸟"卫星影象为数据源,完成了研究区的土地覆盖类型遥感解译,应用地理信息系统提供的统计和分析工具,完成了研究区不同土地覆盖类型的城市泥石流易损性计算和评价.     

一种基于混沌和魔方的数字图像置乱算法

在现有数字图像置乱算法的基础上,分别分析了这些算法存在的不足,详细介绍了混沌序列及其优点。在介绍魔方玩法的基础上,指出可以把对魔方的初始置乱理解成加密过程,并分析魔方的加密原理在数字图像置乱中应用的可能性。并设计了一种结合混沌和魔方优点的数字图像置乱算法。该方法将图像的行列和对角线定义成魔方变换的旋转面,将对魔方的旋转定义成旋转面的循环移动。置乱过程先根据密钥产生混沌序列,再由混沌序列控制魔方变换进行图像置乱。通过与其他算法的实验对比,表明该算法有较好的图像置乱效果,达到了对图像进行置乱的目的。分析表明,该算法的时间复杂度较低,安全性较高,满足实际的应用需要。     

伊犁河谷生态旅游形象定位及产品设计

生态旅游资源是生态旅游开发的基础,但拥有旅游资源并不等于就拥有旅游产品,旅游资源要成为旅游产品,还必须根据市场需求进行形象设计、加工和再创造。伊犁河谷具有得天独厚的生态环境和世所罕见的生物多样性特征,是开发生态旅游产品、发展生态旅游的理想之地。以伊犁河谷生态旅游源为基础,塑造伊犁河谷生态旅游形象,设计开发特色生态旅游产品。     

复合絮凝剂聚硅酸铝铁的形貌结构及性能研究

向聚硅酸中引入铝盐、铁盐制得聚硅酸铝铁(PFAS)复合絮凝剂,用电子显微镜观察分析了不同Al/Fe/Si摩尔比的PFAS形貌,用红外光谱研究了其中铝离子、铁离子与聚硅酸的相互作用情况,并对其絮凝性能进行了考察.结果发现:聚硅酸铝铁的形貌均为枝杈状聚集态,并带有分形特征,完全不同于聚硅酸的球形或椭球形,也不同于聚铝、聚合铝铁的晶形;Al/Fe/Si摩尔比对形貌有较大影响.红外光谱证实了PFAS中部分铝离子、铁离子及水解络合铝离子、铁离子可与共存的聚硅酸起螯合(络合)反应生成铁铝硅聚合物,PFAS的絮凝性能高于聚硅酸铝、聚硅酸铁.     

浅论企业安全形象与企业安全文化的关系

为更好地建设企业安全文化,促进企业安全生产,笔者提出了安全形象的概念、内容构成;分析了企业安全形象与企业安全文化异同点及其相互关系。企业安全形象是社会公众和企业职工对组织安全方面所作所为的总体认识、印象和评价。它包括:安全物质形象、安全行为形象、安全精神形象、安全成果形象等。企业安全形象与企业安全文化在理念、制度、外观、作用等有许多交叉和联系的地方,在着眼点、认知顺序、评价层面等方面表现出不同的范畴;企业安全文化的建设决定企业安全形象,企业安全形象对企业安全文化具有反作用。