Loft features reveal the functioning of the young pigeon’s navigational system

It is thought that young homing pigeons are able to use information acquired en route for their initial homeward orientation. However, the cues involved and mechanisms utilised are under discussion. Blocking light-dependent route-specific information during the first leg of an outward journey detour, together with analysis of pigeons that were raised under different loft conditions, allowed us to correctly evaluate the functioning of this mechanism and, more generally, the navigational map of birds. Pigeons from the same stock were raised and kept in two different lofts. The birds in the experimental groups were transported to the release sites via detours, and light-dependent information was denied during the first half of the outward journey (no compass information was available). Control birds were transported by the most direct route and had access to all available information. In general, the results showed that the low-loft birds preferred to use magnetic compass cues, whereas the high-loft birds preferred to use navigational map cues to collect information of the first part of the outward journey. The impairments observed in the homing performances of the experimental groups highlight the reliability of information collected inside the map area. Relevant to an understanding of the route-reversal mechanism was the evidence that this mechanism is able to function in the absence of compass information (birds raised in a wind-exposed loft show a detour effect). In systems where directional information could be provided by multiple sources, processing and extracting accurate course trajectories through a common mechanism may prove more efficient and reliable.     

用于湿法净化黑烟表面活性剂筛选的数学模型研究

湿法净化燃煤窑炉中的黑烟,关键在于表面活性剂对炭黑的润湿、增溶和降低表面张力作用.根据研究筛选的数学模型,计算AEO-9和SDBS混合表面活性剂溶液的亲水亲油平衡值HLB、临界胶束浓度CMC与胶束形成吉布斯自由能ΔG0mf.通过实验测得不同配比AEO-9和SDBS溶液的CMC和处于该CMC时黑烟的去除效率η,分析混合溶液中HLB、CMC、ΔG0mf与η的关系,建立新的数学模型.结果表明,理论CMC与实测CMC吻合度较好;HLB与ln[CMC]线性相关;ΔG0mf与η存在二次函数关系.降低CMC可以有效增大HLB,增加溶解度,减小形成胶束的吉布斯自由能,降低表面张力,使形成胶束的反应更容易自发进行,有效提高黑烟去除效率.     

基于大比例尺地形图的抗震规划工作底图缩编研究

工作底图的编制是开展抗震规划的基础工作之一,好的工作底图不仅能突出抗震规划专题信息,更有利于规划成果的应用。本文以1∶5 000地形图缩编成1∶5万抗震规划工作底图为例,分析了规划底图缩编过程中存在的问题,探索了基于AutoCAD、南方Cass软件以及Arcgis的缩编方法,从而有效提高抗震规划的工作效率。     

Bayesian model-based cluster analysis for predicting macrofaunal communities

To predict macrofaunal community composition from environmental data a two-step approach is often followed: (1) the water samples are clustered into groups on the basis of the macrofauna data and (2) the groups are related to the environmental data, e.g. by discriminant analysis. For the cluster analysis in step 1 many hard, seemingly arbitrary choices have to be made that nevertheless influence the solution (similarity measure, clustering strategy, number of clusters). The stability of the solution is often of concern, e.g. in clustering by the program. In the discriminant analysis of step 2 it can occur that a water sample is misclassified on the basis of the environmental data but on further inspection happens to be a borderline case in the cluster analysis. One would then rather reclassify such a sample and iterate the two steps. Bayesian latent class analysis is a flexible, extendable model-based cluster analysis approach that recently has gained popularity in the statistical literature and that has the potential to address these problems. It allows the macrofauna and environmental data to be modelled and analyzed in a single integrated analysis. An exciting extension is to incorporate in the analysis prior information on the habitat preferences of the macrofauna taxa such as is available in lists of indicator values. The output of the analysis is not a hard assignment of water samples to clusters but a probabilistic (fuzzy) assignment. The number of clusters is determined on the basis of the Bayes factor. A standard feature of the Bayesian method is to make predictions and to assess their uncertainty. We applied this approach to a data set consisting of 70 water samples, 484 macrofauna taxa and four environmental variables for which previously a five cluster solution had been proposed. The standard for Bayesian estimation, the Gibbs sampler, worked fine on a subset with only 12 selected taxa but did not converge on the full set with 484 taxa. This is due to many configurations in which the assignment probabilities are all very close to either 0 or 1. This convergence problem is comparable with the local optima problem in classical cluster optimization algorithms, including the EM algorithm used in Latent Gold, a Windows program for latent class analysis. The convergence problem needs to be solved before the benefits of Bayesian latent class analysis can come to fruition in this application. We discuss possible solutions.     

A phenomenological model without dispersal kernel to model species migration

Phenomenological approaches to model species migration are usually based on kernel-based methods. These methods require a good knowledge of the dispersal agent behaviour for a given species. They also calculate the location of individuals independently to each other (except the mother plant) and then suppress some of them according to additional interactions such as competition, facilitation and recruitment. In this paper, we propose to use a new phenomenological method, the Gibbs method, to model tree species migration at large scale. The Gibbs method handles the location of adult individuals in terms of pairwise interactions described by a potential function. This function summarizes the set of known and unknown factors determining the spatial distribution of the individuals (or cohorts). The principle of the Gibbs method is to minimize the sum of all pairwise interactions, also called the cost function, in order to optimize the spatial point pattern according to the chosen potential function.     

基于CiteSpace中国生态补偿研究的知识图谱分析

生态补偿已成为生态环境管理领域的热点问题。本文基于CiteSpace可视化文献分析工具,以CSSCI数据库中1998—2018年的期刊论文作为数据源,以"生态补偿"为关键词进行文献检索,通过共被引、关键词共现分析以及聚类分析等,探讨生态补偿研究领域的知识基础以及研究热点与前沿。结果表明:①生态补偿研究的发文数量经历了缓慢上升、快速增长、平稳增加三个阶段;②生态补偿研究作者集中度较高,发行期刊涵盖经济学、地理学、生态学、制度经济学等多个学科,反映出生态补偿是一个多学科交叉的研究主题,生态补偿研究的综合性不断增强;③依据关键词知识图谱,"国家重点生态功能区""生态环境""可持续发展"等成为最新研究热点;④新时期生态文明建设下,"草原生态补偿""支付意愿""转移支付""退耕还林"等成为生态补偿研究的最新前沿话题。     

氯苯降解性质粒pL1限制性酶消化和物理图谱

大量提取Ｌ１菌质粒并用低熔点琼脂糖回收。用５种限制性核酸内切酶消化，所得片段数分别是：ＨｉｎｄⅢ４，ＢａｎＨⅠ１６，ＸｂａⅠ４，ＰｓｔⅠ１５，ＳｍａⅠ１２。从各片段的累加测出该质粒的平均大小约为９２．５ｋｂ，分子量为６０．０９×１０＾６ｄａｌｔｏｎ。在单酶消化的基础上，用ＨｉｎｄⅢ／ＸｂａⅠ、ＨｉｎｄⅢ／ＢａｎＨⅠ、ＸＢａⅠ／ＢａｎＨⅠ双酶消化，以及ＢａｍＨⅠ部分消化，由此组建了ＨｉｎｄⅢ／Ｘｂａ     

耕地质量地球化学评价及应用研究——以重庆市荣昌区为例

基于Arcgis平台,以耕地图斑为评价单元,对重庆市荣昌区耕地质量进行了地球化学评价及其应用研究。结果表明,研究区耕地土壤质量较好,地球化学等级以中等为主,占耕地总面积的74.44%,优质和良好等级占24%。土壤养分综合等级以中等为主,有机质、氧化钙和磷元素较缺乏,钾、硫、锌等多种元素较丰富。土壤环境质量总体较好,清洁和轻微污染区面积较大,轻度至重度污染区不足1%,土壤污染主要由Cd元素引起。耕地质量地球化学评价可广泛应用于耕地分等定级、基本农田划定、土地整治和农业生产活动中。     

基于自组织映射与哈斯图方法的地表水水质评价研究

地表水水质评价是水资源管理与保护中的非常重要的问题.本研究主要目的是应用自组织映射(Self-Organizing Map,SOM)与哈斯图方法(Hasse Diagram Technique,HDT)对地表水水质监测数据集进行分类、建模、解释与评估.以西苕溪流域为例,对其50个断面于2010年6月-2011年5月进行月频率的水质监测.应用SOM分析发现,水质参数可分成10个聚类组,反映了西苕溪流域水质丰、平与枯水期特征,pH、高锰酸盐指数(CODMn)在各个水期变化不大;溶解氧(DO)在枯水期与平水期相对较高,水质具有一定的自净能力;丰水期的氨氮(NH4+-N)、总氮(TN)与总磷(TP)值相对较小;西苕溪流域TN:TP(氮磷质量比)平均为46,监测期间变幅较大为2～482,监测期内有66.7％的水质样本处于磷限制状态,仅有3.2％处于氮限制状态,存在氮限制与磷限制交替出现的状态,表明流域总体处于磷限制状态.选取CODMn、NH4+-N、TN 与TP指标进行HDT综合分析,反映流域上游水质较好,中、下游水质相对较差;敏感性分析结果表明,CODMn敏感性数值最大为235,其次是TN为156,、NH4+-N与TP分别是61与34,表明西苕溪流域的CODMn、TN存在较大的环境风险.建议在西苕溪流域即将开展的环境整治与规划时应考虑开发相关的削减技术与制定相关措施政策以减少CODMn、TN污染.