复合linex对称损失下Lomax分布参数的Bayes估计

研究了在复合linex对称损失下,两参数Lomax分布当刻度参数已知时,其形状参数的Bayes估计及其容许性,并给出了其多层Bayes估计的一般形式。     

沙漠-黄土南北样带土壤物理性质区域分异特征

采集了沙漠-黄土南北样带从北到南的沙漠区、过渡区、黄土区的土壤样品,测量和分析了不同区域土壤容重(D)、粒度特征。结果表明：①D沙漠区>D过渡区>D黄土区,土壤容重的平均值依次为1.53 g·cm-3、1.51 g·cm-3、1.41 g·cm-3,过渡性明显;②沙漠区以中砂和细砂为主,过渡区以细砂为主,黄土区以细砂和粉砂为主。从沙漠区到黄土区,土壤颗粒逐渐变细,粘粒含量增加,分选性变差,偏度均属正偏,且在增大,峰态从常峰态向窄峰态类型变化,过渡区和黄土区属于双峰态,沙漠区属于单峰态。     

腾格里沙漠东南缘4种灌木的生物量预测模型

灌木生物量模型是预测灌木生物量最有效的方法。选择腾格里沙漠南缘荒漠生态系统中常见的4种灌木（驼绒藜(Ceratoides latens)、盐爪爪(Kalidium foliatum)、珍珠猪毛菜(Salsola passerina)、红砂(Reaumuria soongarica)）为研究对象,以株高（H）和冠幅（C）的复合因子灌木体积（V）为自变量,通过回归分析,分别构建了4种灌木和混合物种的叶、新生枝、老龄枝、地上部分、地下部分和整株生物量的预测模型。通过决定系数（R2）、估计值的标准误（SEE）和回归检验显著水平（p＜0.05）筛选出了最优的生物量估测模型。结果显示:4种灌木的生物量模型主要以幂函数W=aVb为最优模型,少数以三次函数W=a+bV+cV2+dV3为最优模型。灌木生物量与V之间呈极显著的相关关系（p＜0.001）,决定系数较高,分别为:叶片（0.775＜R2＜0.866）,新生枝（0.694＜R2＜0.840）,老龄枝（0.819＜R2＜0.916）,地上部（0.832＜R2＜0.917）,地下部分（0.74＜R2＜0.808）,全株（0.811＜R2＜0.912）,说明预测模型可以应用于此4种灌木的生物量估算。不同物种之间及不同器官之间的生物量模型存在差异,在实际使用中,要根据物种来选择相应的模型。生物量模型的建立有助于全面估算荒漠生态系统的生物量,并进一步评估生态系统不同碳库的碳存储量与碳循环。为有效提高荒漠草地碳储量、合理实施生态系统管理和人为干预提供科学依据。     

基于核密度估计的广佛都市区路网演变分析

根据1957年与1982年2个时期的地形图并结合1995年与2008年的遥感卫星影像提取路网专题信息,利用ArcGIS建立广佛都市区路网数据库。采用GIS空间分析中的核密度估计方法并结合各个方位道路密度,分析广佛都市区的路网时空演变。分析表明,近50 a来广佛都市区的路网发展总体是以广州市的越秀区和佛山市的禅城区双核为中心不断向外蔓延,次一级核相继出现并不断扩大发展的过程。空间上,路网的演变也呈现出一定的方向特性,正北,西南和正西方向一直是路网密度较高的地区,但路网发展最快的是西南和正东方向。路网密度内部差异逐年递减, 路网系统发育不断成熟。     

单点击实法击实试验研究

在国内现行的各类土工试验规程中,5点击实法是最基本的土工击实试验方法,具有用土量大、费时、费力,而且试验数据处理麻烦等缺陷。为了克服这些缺陷,采用静压脱湿试验法,对人工配制含水率,而且含水率高于该土的塑限含水率的不同土样进行脱湿。试验结果表明：各土样脱湿后的含水率具有稳定在标准击实功下该土最优含水率以下某一稳定水平的特点。由此提出：可将需要击实的土样先脱湿,得出土样脱湿后的含水率,再乘以有关系数求得土的最优含水率,直接对最优含水率下的土体进行标准击实功单点击实,从而快速准确地获得该土的最优含水率和最大干密度。通过对比试验验证,单点击实法不但简单、快速,而且具有足够的可靠性。     

干密度对路基性能的影响研究

通过滤纸法试验,测得3种干密度下的土-水特征曲线,拟合得到3种干密度下的Van Genuchten模型参数,分析干密度对土-水特征曲线及Van Genuchten模型参数的影响。通过室内回弹模量试验,分析压实度和含水率对回弹模量的影响,并建立回弹模量与压实度和含水率之间的关系式。基于水力耦合机制,结合试验结果建立地下水位变化作用下的路基湿度及变形的动态响应模型,计算地下水位从-6 m上升到-3 m后,路基的含水率和回弹模量分布以及路基的变形。计算结果表明,干密度对土-水特征曲线Van Genuchten模型参数产生显著影响,饱和体积含水率随着干密度的增大线性减小,残余体积含水率随着干密度的增大线性增大,参数a与进气值的倒数线性相关,参数n随干密度的增大线性增大;回弹模量随着含水率的增大而减小,随着干密度的增大而增大;地下水位上升导致路基土的含水率显著增加,回弹模量明显下降,引起不可忽视的路基变形;不同填筑压实度下,地下水位变化引起的路基变形差异很明显,控制路基土的压实度是提高路基土性能的有效途径。     

Do free-ranging domestic goats show ‘landscapes of fear’? Patch use in response to habitat features and predator cues

One factor that influences foraging is predation risk. As a result, herbivores may not use landscapes uniformly due to spatial differences in perceived predation risk. Wild herbivores forage across these ‘landscapes of fear’; however, the extent to which domestic herbivores consider them is generally unknown. Using a grid of artificial food patches and measuring giving up densities (GUDs), we mapped landscapes of fear of free-ranging domestic goats on three substrates. In the first experiment, we related GUDs to landscape variables. Goats preferred feeding in open ground with firm substrate compared to a sandy riverbed or a rocky hillside. We suggest that differences relate to escape potential and the occurrence of ambush sites. Landscape variables that influenced feeding effort were patch visibility and plants next to a patch. In a second experiment, we increased predation risk by adding predator dung and urine into the habitats. In response, feeding effort declined across all three habitats. Furthermore, goats only responded to patch visibility and not plants next to the patches. Better sightlines increase predator detection and allow individuals to see group members. Our results indicate that predation risk influences the extent to which free-ranging domestic herbivores utilise landscapes.     

Identification of geologic contrasts from landscape dissection pattern: An application to the Cascade Range, Oregon, USA

This paper demonstrates the plausibility of inferring the spatial variability of geology from topographically derived landscape dissection patterns. This enables surveying large regions for spatial variability in geology, for which direct remote sensing is not feasible, by studying variability in dissection pattern, a feature extracted straight off from digital elevation model data. Dissection pattern is obtained automatically by a novel algorithm, especially designed to delineate the valleys with high accuracy in order to reflect spatial variability in dissection density. The dissection pattern is encapsulated by a continuous map of drainage density, a raster variable best suited for showing spatial variability of dissection. Such a map, constructed for the study area in the Cascade Range, Oregon, USA, shows a sharp discontinuity in the dissection pattern, indicating change in underlying geology. Possible factors controlling the dissection pattern such as climate, local and regional slopes, vegetation, and geology are examined, and geology has been found to be the dominant controlling factor. The dissection contrast coincides with the boundary between the Western and High Cascades, two geologic provinces with different rock ages and types. The older and less permeable Western Cascades are associated with denser dissection pattern, whereas the younger and more permeable High Cascades correspond to less dissected pattern. This new mapping method can be applied to locations where topography is the only readily available data, and the generated map could be used to extract previously unknown geologic or environmental information.     

江苏省人口空间格局演化特征

以江苏省为例,选取人口数及人口密度为研究指标,以县域为研究单元,通过人口密度、空间自相关、不均衡指数、重心移动及偏移—分享分析,描述20 世纪90 年代以来江苏省人口空间格局及其演变趋势。结果表明:近20 年来,江苏省人口密度有“南高北低”的特征,该现象与经济发展水平相对应;江苏省人口分布存在一定的空间关联性,在长江中下游各县市形成空间人口密度高的集聚区域,在苏北平原形成空间人口密度低的集聚区域,随时间推移人口集聚趋势不断减弱;江苏省人口呈不均衡分布状态且不均衡趋势加强,人口重心逐渐向西北方向迁移;江苏省人口增长速度在变慢,集聚人口能力在3 大区域之间有明显差异,苏中相对不足,苏南不断增强而苏北不断减弱。     

Estimation of snow density using full-polarimetric Synthetic Aperture Radar (SAR) data

In this paper, a new snow density estimation methodology is proposed for full-polarimetric Synthetic Aperture Radar (SAR) data. The generalized four component polarimetric decomposition with unitary transformation (G4U) based generalized volume parameter is utilized to invert snowpack dielectric constant using the Fresnel transmission coefficients. The snow density is then estimated using an empirical relationship. Six Radarsat-2 fine resolution full-polarimetric C-band datasets were acquired over Himachal Pradesh, India. The near-real time in-situ measurements were collected with the satellite pass to validate the proposed method. The mean absolute error (MAE) of the proposed method is 0.027 g cm⁻³ and the root mean square error (RMSE) is 0.032 g cm⁻³. The snow density variation within a season were also analyzed using multi-temporal Radarsat-2 data.