Mongolian gerbils and Daurian pikas responded differently to changes in precipitation in the Inner Mongolian grasslands

Mongolian gerbils (Meriones unguiculatus) and Daurian pikas (Ochotona dauurica) are two key small mammal species in the Inner Mongolian grasslands, China. Mongolian gerbils displayed density-dependent population growth, but the time lag of density dependence was short and within season. The spring–autumn population growth rate was inversely related to population density in Mongolian gerbils of the Erdos desert grasslands. The autumn–spring population growth rate of Mongolian gerbils was inversely related to winter precipitation. Precipitation had stronger effects on the population growth of gerbils during the non-breeding season. The monthly population growth rate of Daurian pikas was positively related to the monthly precipitation and was inversely related to population density in central Inner Mongolia. Daurian pikas select habitats with tall plants. Increased precipitation enhances plant production and increases the height of plants in arid and semi-arid regions. This enhancement of plant height might increase the population growth of Daurian pikas. Mongolian gerbils live in short grasslands. Increased winter precipitation might result in higher winter mortality of Mongolia gerbils, or taller plants might supress gerbil population growth in wet years. Therefore, responses of small mammal species to changes in precipitation depend on the life history of small mammals and changes in vegetation induced by climatic changes.     

2011 年夏季胶州湾三种大型水母的种群动态研究

2011年8月1日-9月30日,对胶州湾三种大型水母沙海蛰(Nemopilema nomurai)、白色霞水母(Cyanea nozakii)、海月水母(Aurelia aurita)的种群数量变动及空间分布情况开展了目测调查,同步获得了气象、水温、盐度、叶绿素a、浮游动物丰度、种类组成等数据,调查频率为每周2次。调查期间,海月水母表现出逐渐降低的趋势,沙海蛰与白色霞水母种群均于8月11日达到数量高峰,8月底及9月中旬之后依次衰落,至9月底,三种水母基本消失。三种水母的种群平均丰度变化范围分别为:沙海蛰0-230.8ind/km2;霞水母0-150.2ind/km2;海月水母0-123.4ind/km2。从分布区域来看,海月水母主要位于近岸区,沙海蜇主要分布于湾口和中部深水区,而白色霞水母则在高峰期和次高峰期分别集中于深水区和近岸区。结合往年资料,作者认为,海月水母种群能够在胶州湾内进行自我补充并完成其生活史,而胶州湾沙海蛰与霞水母的种群补充则可能主要依赖于湾外种群。另外,目测方法的准确性可能受到气象条件的影响。     

南极磷虾年龄组成的体长频数分布混合分析

本文依据１９８９／１９９０和１９９０／１９９１两个南极夏季在普里兹湾以北海域所获的拖网样品，应用分布混合分析方法，研究大磷虾种群的年龄结构。结果表明，种群内最多可能包括６个年龄：发年幼体，１＾＋，２＾＋，３＾＋，４＾＋和＾５＋龄虾。     

中国区域性极端降水事件及人口经济暴露度研究

基于中国1960-2014年771个气象站的逐日降水资料,选取有效降水序列95百分位数作为极端降水阈值,将既定持续时间尺度和连续面积上超过阈值的降水事件定义为区域性极端降水事件。采用强度-面积-持续时间（Intensity-Area-Duration,IAD）法,根据极端降水事件空间和时间上的连续性特征,对不同持续时间的区域性极端降水事件演变趋势及暴露于极端降水事件下的人口和国内生产总值进行研究。结果表明:（1）相对强度最大的区域性极端降水事件主要集中在1960-1968、1991-1999和2006-2013年3个时段;（2）区域性极端降水事件最强中心主要分布在长江以南和东北地区,发生在北方的多为单日极端降水,南方多为持续多日的极端降水;（3）1960-2014年区域性极端降水事件影响面积有所增大,相对强度变化不明显;（4）暴露于极端降水事件影响区域内的人口和国内生产总值均呈显著增大趋势,暴露人口最多的年份在1983年,达到2408万人/d,暴露国内生产总值最多的年份在1998年,达到20亿元/d。      

中华乌塘鳢的群体生物学研究 Ⅱ.生化遗传变异

用同工酶谱法发现中华乌塘鳢Bostrichthy sinensis四个群体的遗传变异水平很低,在所检测的30个基因座位中,多态座位比例只有0—10％,平均杂合度仅为0.2—0.5％,物种的平均杂合度为0.33±0.10％。四个群体共享常见的等位基因。虽然其中三个群体拥有特有的等位基因,但其基因频率都未超过5％。四个群体的Nei氏遗传距只有1.68—12.13×10~(-5)。据分析,近交可能是遗传变异水平低和形态特征分化差的主要原因。种苗生产上应注意广泛采集不同地理群体的鱼作亲鱼,以丰富养殖群体的基因库。     

基于Matlab的震中分布图绘制软件应用

基于Matlab可视化图形用户界面程序,编制基于Mapinfo地理信息和双差地震精定位结果的地图及地震震中分布绘制软件,为地震预报研究提供高精度的震中分布图.运用该软件绘制重庆荣昌地区地震震中分布,可较好反映区域范围内构造展布情况,对地震研究起到积极作用.     

不同群体团头鲂生长性能分析

用随机区组试验方法,比较四种不同的选育群体团头鲂的后代和一个对照群体团头鲂的生长性能。结果表明：在同一环境条件下,远交群体比近交群体生长优势明显（|xi-xj|＞D0.01）;亲本年龄大（3足龄）的群体后代生长性能优于亲本年龄小（2足龄）的群体后代（|xi-xj|＞D0.05）;对照群体团头鲂与近交群体后代生长性能相当。     

利用影像重定位和遍历检测的遥感影像水印算法

针对遥感影像数据,提出了一种基于影像重定位和遍历检测的盲水印算法。实验结果表明,该方法可以有效抵抗压缩、滤波等常见的图像处理攻击,还能有效抵抗裁剪攻击。     

Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement

The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro levels. However, using the nighttime light data alone to estimate population may cause the overestimation problem due to excessively high light radiance in specific types of areas such as commercial zones and transportation hubs. In dealing with this issue, this study used taxi trajectory data that delineate people’s movements, and explored the utility of integrating the nighttime light and taxi trajectory data in the estimation of population in Shanghai at the spatial resolution of 500 m. First, the initial population distribution grid was generated based on the NPP-VIIRS nighttime light data. Then, a calibration grid was created with taxi trajectory data, whereby the initial population grid was optimized. The accuracy of the resultant population grid was assessed by comparing it with the refined survey data. The result indicates that the final population distribution grid performed better than the initial population grid, which reflects the effectiveness of the proposed calibration process.     

Predicting socioeconomic conditions from satellite sensor data in rural developing countries: A case study using female literacy in Assam,India

Social data from census and household surveys provide key information for monitoring the status of populations, but the data utility can be limited by temporal gaps between surveys. Recent studies have pointed to the potential for remotely sensed satellite sensor data to be used as proxies for social data. Such an approach could provide valuable information for the monitoring of populations between enumeration periods. Field observations in Assam, north-east India suggested that socioeconomic conditions could be related to patterns in the type and abundance of local land cover dynamics prompting the development of a more formal approach. This research tested if environmental data derived from remotely sensed satellite sensor data could be used to predict a socioeconomic outcome using a generalised autoregressive error (GAR_err) model. The proportion of female literacy from the 2001 Indian National Census was used as an indicator of socioeconomic conditions. A significant positive correlation was found with woodland and a significant negative correlation with winter cropland (i.e., additional cropping beyond the normal cropping season). The dependence of female literacy on distance to nearest road was very small. The GAR_err model reduced residual spatial autocorrelation and revealed that the logistic regression model over-estimated the significance of the explanatory covariates. The results are promising, while also revealing the complexities of population–environment interactions in rural, developing world contexts. Further research should explore the prediction of socioeconomic conditions using fine spatial resolution satellite sensor data and methods that can account for such complexities.