Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.     

Deriving Changjiang coastal zone wind from C-band SAR and its application to salinity simulation

Wind plays an important role in hydrodynamic processes such as the expansion of Changjiang （Yangtze） River Diluted Water （CDW）, and shelf circulation in the Changjiang estuary. Thus, it is essential to include wind in the numerical simulation of these phenomena. Synthetic aperture radar （SAR） with high resolution and wide spatial coverage is valuable for measuring spatially inhomogeneous ocean surface wind fields. We have collected 87 ERS-2 SAR images with wind-induced streaks that cover the Cbangjiang coastal area, to verify and improve the validity of wind direction retrieval using the 2D fast Fourier transform method. We then used these wind directions as inputs to derive SAR wind speeds using the C-band model. To demonstrate the applicability of the algorithms, we validated the SAR-retrieved wind fields using QuikSCAT measurements and the atmospheric Weather Research Forecasting model. In general, we found good agreement between the datasets, indicating the reliability and applicability of SAR- retrieved algorithms under different atmospheric conditions. We investigated the main error sources of this process, and conducted sensitivity analyses to estimate the wind speed errors caused by the effect of speckle, uncertainties in wind direction, and inaccuracies in the normalized radar cross section. Finally, we used the SAR-retrieved wind fields to simulate the salinity distribution off the Changjiang estuary. The findings of this study will be valuable for wind resource assessment and the development of future numerical ocean models based on SAR images.     

雷州半岛灯楼角珊瑚礁海区夏季的浮游动物

2004年8月在雷州半岛灯楼角珊瑚礁海区分别使用浅水Ⅰ型和浅水Ⅱ型浮游生物网进行了浮游动物调查,共鉴定浮游动物72种和浮游幼虫19个类群(或类型),其中桡足类的种数最多达45种。结果表明,浮游动物种数分布由近岸往远岸递增,约3/4的种类属于终身浮游生物,1/4属于阶段性浮游生物。中小型的浮游动物种类多,数量大。两种网具采集的浮游动物总种数、总密度、多样性指数、均匀度和中小型优势种的密度差异相当显著,而大型优势种的密度差异不明显。用浅水Ⅱ型网采集的浮游动物总密度平均值为5270ind/m3,是浅水Ⅰ型网的110倍。桡足类占浮游动物总密度的72.45%,其次幼虫占23.41%。浮游动物密度呈斑块状分布,最高达16257ind/m3,底质为珊瑚礁的测站的浮游动物数量一般较多。优势种主要是中小型种类和底栖动物的幼虫,如强额孔雀哲水蚤、蔓足类无节幼虫、细长腹剑水蚤、驼背隆哲水蚤、无节幼虫、双壳类面盘幼虫、桡足幼体、简长腹剑水蚤等。     

满足给定数字特征和谱的随机信号的产生

本文给出了满足给定数字特征和谱的随机序列的产生方法，即用无记忆非线性变换实现非正态随机信号的模拟．该法与Ｇｕｊａｒ法相比较，放宽了变量概率分布的限制，只要求变量矩的存在。同时考虑无记忆非线性变换对谱的影响，用异于Ｌｉｕ的方法在频域上求解输入正态分布随机序列的谱．     

利用ND1、ITS1序列研究三种背角无齿蚌（Anodontawoodiana）分类学问题

利用ND1、ITS1序列差异对采自太湖、在形态上被认为是背角无齿蚌、圆背角无齿蚌、椭圆背角无齿蚌的三种个体进行鉴定,并与从NCBI中下载到的同属不同种褶纹冠蚌的ND1、ITS1序列进行对比,分析了基于Kimura2-parameter模型参数得到的遗传距离,并构建了NJ树。结果表明,本研究中所有背角无齿蚌种间遗传距离变...     

潮汐形变资料中地震前兆信息的识别与提取

将小波变换的多分辨率分析引入潮汐形变资料处理中，对近年来云南地区的3次强震前的潮汐形变观测资料进行了处理与分析，发现在地震前2～5个月，震中附近的形变台站都接收到一个频段相同的异常信号，且它们之间是相关的，相关系数达80％以上，由此可以确定信号是由同一个源发出来的。出现在多个台站的相同频段的异常信号很可能就是我们想要得到的地震前兆信息。     

浙江南部沿岸产卵场春、夏季鱼卵、仔稚鱼种类组成与分布

根据2011年4月、5月与6月对浙江南部沿岸产卵场进行的共3个航次的调查资料,对该海域的鱼卵、仔稚鱼的种类组成和数量分布进行了分析,结果表明,共发现鱼卵、仔稚鱼72个种类,分别隶属11目38科48属。其中鱼卵29种,分别隶属6目18科24属;仔稚鱼55种,分别隶属10目29科40属。4—6月仔稚鱼数量呈逐月递减的趋势,而鱼卵数量6月最多,5月最少。鱼卵优势种4月以斑鰶、棱鱚、小黄鱼与蓝点马鲛为主,5月以斑鰶、鳀、龙头鱼、银鲳、蓝点马鲛与石首鱼科为主,6月以鳀、龙头鱼、多鳞鱚与鲱科鱼类为主;仔稚鱼优势种4月以虾虎鱼类、褐菖鲉与平鲉科为主,5月以鳀、虾虎鱼类、棱鱚、斑鰶与长鳍篮子鱼为主,6月以鳀与虾虎鱼类为主。斑鰶、鲳鱼、小黄鱼、棱鱚、蓝点马鲛与褐菖鲉的产卵盛期为4月,而鳀与龙头鱼的产卵盛期为6月。     

企业社区居民地方认同变化及作用机理——以西北第一印染厂社区为例

地方认同是衡量人地情感、理解人与地方认知关系的重要概念,能够反映人地互动的复杂动态关系。企业社区作为重要的城市居住空间,理解居民地方认同对于科学开展城市社区更新、街区振兴与可持续发展具有重要意义。以西安市西北第一印染厂社区为例,采用扎根理论方法,分析社会环境变迁和社区重构影响下,居民个人身份与地方认同的变化及作用机理。研究发现：1）企业社区居民个人身份认同是从单位人向社会人,以及未来作为留守老年群体的转变。2）延续传承的集体记忆维系居民积极式认同,社会交往生疏化和社区管理社会化加剧地方认同弱化,破败的建筑环境和落后的配套设施带来消极式认同。3）居民在生活、成长的企业社区环境和社会互动中构建了自身及对地方的认同,随着外部社会环境与内部居民个体特征而变化。外部社会环境的国企改革、住房改革使企业转轨、社区社会空间转变,加以居住时间差异、个体特征、心理因素与个人经历变化等内部因素,共同塑造居民的地方认同及其变化过程。     

基于指标规范值的海水水质评价的SVR模型

为了建立具有普适通用的海水水质评价的支持向量机模型,在设置各指标参照值和指标规范变换式,并对指标进行规范变换的基础上,应用免疫进化优化算法,建立基于指标规范值的海水水质评价的回归支持向量机模型。将优化好的模型用于珠江口海水水质的评价,其评价结果与BP神经网络的评价结果基本一致,从而表明基于指标规范值的支持向量机模型用于海水水质评价是可行的,且该模型较传统的支持向量机评价模型具有较好的普适性和通用性。     

Industrial structural changes in Hong Kong, China under one country, two systems framework

Hong Kong has undergone substantial economic transformations and developed into a sophisticated business and financial center in the Asia-Pacific region,since the return of sovereignty to China as a Special Administrative Region under the One Country Two Systems (OCTS) in 1997.This paper discusses and analyzes the industrial structural changes of Hong Kong in recent decades as well as its future challenges and opportunities.The data and finding reveal that even though Hong Kong will face fierce competition from the Mainland’s cities as the rise of China,the important role as a bridge between China and the rest of the world will brace Hong Kong itself under the OCTS for developing into a service hub for business and trade in the Asia-Pacific region.