当前气候、古气候和生境异质性对中国常绿阔叶木本植物生物地理格局的影响（英文）

Understanding biogeographic patterns and the mechanisms underlying them has been a main issue in macroecology and biogeography, and has implications for biodiversity conservation and ecosystem sustainability. Evergreen broad-leaved woody plants(EBWPs) are important components of numerous biomes and are the main contributors to the flora south of 35°N in China. We calculated the grid cell values of species richness(SR) for a total of 6265 EBWP species in China, including its four growth-forms(i.e., tree, shrub, vine, and bamboo), and estimated their phylogenetic structure using the standardized phylogenetic diversity(SPD) and net relatedness index(NRI). Then we linked the three biogeographical patterns that were observed with each single environmental variable representing the current climate, the last glacial maximum(LGM)–present climate variability, and habitat heterogeneity, using ordinary least squares regression with a modified t-test to account for spatial autocorrelation. The partial regression method based on a general linear model was used to decompose the contributions of current and historical environmental factors to the biogeographical patterns observed. The results showed that most regions with high numbers of EBWP species and phylogenetic diversity were distributed in tropical and subtropical mountains with evergreen shrubs extending to Northeast China. Current mean annual precipitation was the best single predictor. Topographic variation and its effect on temperature variation was the best single predictor for SPD and NRI. Partial regression indicated that the current climate dominated the SR patterns of Chinese EBWPs. The effect of paleo-climate variation on SR patterns mostly overlapped with that of the current climate. In contrast, the phylogenetic structure represented by SPD and NRI was constrained by paleo-climate to much larger extents than diversity, which was reflected by the LGM–present climate variation and topog-raphy-derived habitat heterogeneity in China. Our study highlights the importance of embedding multiple dimensions of biodiversity into a temporally hierarchical framework for understanding the biogeographical patterns, and provides important baseline information for predicting shifts in plant diversity under climate change.     

不同辐射对土壤湿度长程相关性的影响——以黑河流域阿柔超级站为例（英文）

Analyses of the soil moisture evolution trend and the influence of different types of radiation on soil moisture are of great significance to the simulation and prediction of soil moisture.In this paper,soil moisture(2–60 cm) and various radiation data from 2014–2015 at the A’rou superstation were selected.The radiation data include the net radiation(NR),shortwave and longwave radiation(SR and LR).Using adaptive fractal analysis(AFA),the long-range correlation(LRC) of soil moisture and long-range cross correlation(LRCC) between moisture and three types of radiation were analyzed at different timescales and soil depths.The results show that:(1) Persistence of soil moisture and consistency between soil moisture and radiation mutate at 18-d and 6-d timescales,respectively.The timescale variation of soil moisture persistence is mainly related to the influence process of radiation on soil moisture;(2) Both the soil moisture persistence and soil moisture-radiation consistency vary substantially with soil depth.The soil depth variation of soil moisture persistence is related to the influence intensity of radiation;(3) From 2–6 day timescales,LR displays the strongest influence on soil moisture at depths of 2–10 cm through negative feedback of radiation on the soil temperature.The influence intensity decreases with depth from 2–15 cm.Therefore,the soil moisture persistence is weak and increases with depth from 2–15 cm;and(4) At more than 6 day timescales,SR and NR display a stronger influence on the soil moisture persistence at depths of 2–40 cm through positive feedback of radiation on the soil temperature,especially at depths of 2–10 cm.This influence also weakens with depth.The soil moisture persistence at depths of 2–10 cm is the weakest and increases with depth from 2–40 cm.The research results are instructive for determining timescales and soil depths related to soil water in hydrological models.     

多云条件有利于亚热带人工针叶林不同季节净生态系统碳吸收（英文）

太阳辐射的动态变化对生态系统固碳有重要影响,而不同天气条件下太阳辐射的改变对森林净生态系统碳交换(NEE)的影响还不明确。本研究利用亚热带人工针叶林生态系统2012年的通量数据和气象数据,分析了晴天、多云、阴天三种天气对NEE的影响。基于一年数据的研究结果表明:在不同季节中,不同天气下光响应曲线的变化没有季节性差异。和晴天条件相比,多云条件下的表观量子效率(?),150和750 W m^–2光强下的潜在光合速率(P₁₅₀和P₇₅₀)分别平均提高了82.3%、217.7%、22.5%;阴天条件下的α和P₁₅₀分别平均提高了118.5%和301%。中等辐射条件有利于NEE达到最大值,但低辐射条件对NEE有抑制作用。在大多数情况下,与晴天相比,多云下NEE的相对改变量(%NEE)为正,但阴天下为负。多云条件下最大%NEE的平均值在春夏秋冬分别为42.4%、34.1%、1.6%、-87.3%。本研究表明多云天气促进亚热带人工针叶林的潜在光合速率和NEE。     

秋刀鱼舷提网渔具性能模型试验与海上实测结果的比较评估

舷提网是秋刀鱼（Cololabis saira）作业的主要方式之一,由于渔获率较高得到迅速推广。模型试验和海上实测是研究网具性能最为普遍的两种方式,两者试验结果的对比评估对于更好地测定网具作业性能具有十分重要的意义。根据2014年11-12月进行的秋刀鱼舷提网静水槽模型试验以及2015年7-10月和2016年6-10月在"鲁蓬远渔019"号船上进行的秋刀鱼舷提网网具性能测试试验测定的网具数据,采用多元线性回归方法,对网具的沉降深度和提升速度进行了标准化,并利用Bootstrap法分析了舷提网模型试验和海上实测试验结果。结果表明:（1）通过Bootstrap法得出标准化后的实测网最大沉降深度的均值分布范围为20.37~29.54 m,95%置信区间为21.76~28.13 m;模型网网具最大沉降深度均值的范围为26.42~37.58 m,95%置信区间为27.70~36.20 m。实测网网具中部最大沉降深度均值大约是模型网网具中部最大沉降深度均值的0.731~0.783倍。（2）通过Bootstrap法得出标准化后的实测网提升速度的均值分布范围为0.107~0.193 m/s,95%置信区间为0.111~0.191 m/s;模型网网具提升速度均值的范围为0.204~0.316 m/s,95%置信区间为0.207~0.312 m/s。实测网网具中部提升速度均值大约是模型网网具中部提升速度均值的0.591~0.611倍。（3）当假设海流速度为0时,求得实测网网具的平均沉降深度为29.14~41.21 m,约为模型网网衣中部最大沉降深度均值的0.751~0.807倍。（4）30 m和60 m水深的海流速度均对实物网网具中部的沉降深度有所影响,60 m水深的流速影响更加显著（P<0.05）。     

潮汐汊道及其沙滩的安全风险和动力机制

为提高海水浴场的安全性,避免发生溺水事故,文章以潮汐汊道及其沙滩的动力地貌结构和发育演变为基础,研究青岛市灵山湾城市阳台海水浴场沙滩的安全风险和动力机制,并提出风险防范建议。研究结果表明:河口潮汐汊道落潮流三角洲的潮汐水道延伸至沙滩滩面,高潮时淹没,落急时水流集中,形成流向外海的高速水流,极易引发海水浴场安全事故;区域落潮流与汊道落潮流相叠加、落潮流三角洲阻挡沿岸输沙造成下游局部岸段侵蚀以及沿岸输沙变化导致水道迁移摆动等因素进一步加大潮汐汊道附近沙滩的安全风险;安全风险最大的地点位于沿岸输沙下游与区域落潮流流向一致的潮汐水道末端附近沙滩,且该位置不稳定,随波浪场发生年际和季节变化;在潮汐汊道沙滩岸段设置海水浴场前应研究其动力地貌和发育演变,划分危险区和安全区,浴场设置后定期监测并确定危险区的位置,并在沙滩安全维护和质量评价等方面将潮汐汊道作为重要判定指标。     

北斗卫星太阳光压解析模型建立及应用

光压模型是导航卫星高精度定轨、定位的基础。目前关于北斗卫星光压摄动模型的研究并不少见,但基于卫星物理参数的综合解析模型建立与应用公开可见的论述并不多见。不同于其他保守和非保守摄动力,光压辐射与卫星本身参数状态密切相关,具有明显的个体差异性。本文基于光压辐射的物理机理、北斗卫星物理参数、姿态控制模式等,建立光压摄动综合解析模型,以精密星历和激光测距数据为基准,验证了综合解析模型能够获得分米级的精密定轨精度。在此基础上,根据卫星角动量守恒和在轨遥测参数变化,分析了综合解析模型和在轨实际干扰力的差值,提出了在综合解析模型基础上增加常数经验修正项Da、Ya的方法,以北斗C08、C10星为例,分别可获得0.078、0.084 m的SLR检核精度,相比于利用CODE经验改进模型,精度分别提高0.021、0.045 m。     

凡纳滨对虾(Litopenaeus vannamei)形态性状与净肉重和出肉率的关系

为了探究凡纳滨对虾(Litopenaeus vannamei)表型性状与净肉重、出肉率的关系,本研究以5月龄的650尾凡纳滨对虾为材料,测量了全长、体长、头胸甲和各体节的长宽高等24个表型性状,根据体重、净肉重计算出肉率,通过相关分析、逐步回归分析和通径分析,计算了各性状间的相关系数、通径系数和决定系数,分析了24个表型性状与净肉重和出肉率的关系。结果表明,相关系数均达到极显著水平(P0.01);通过逐步回归分析建立了以净肉重为因变量,13个性状为自变量的回归方程;同时建立了以出肉率为因变量,9个性状为自变量的回归方程。通径分析结果显示,体长对净肉重的直接影响最大,其次是第3腹节长和第1腹节宽;对出肉率的正向直接影响最大的是体长,其次是第2腹节高和第3腹节长,头胸甲长、宽、高以及尾节长与出肉率呈明显负相关。决定系数分析结果与通径分析结论基本一致,在所分析的24个形态性状中,体长和第3腹节长与净肉重和出肉率密切相关。在实际生产中,可以通过测量体长和第3腹节长等形态性状间接实现对净肉重、出肉率的选择,选育优良品种。     

Numerical study of three-dimensional wave-induced longshore current's effects on sediment spreading of the Huanghe River mouth

A three-dimensional wave radiation stress is introduced into the hydrodynamic sediment coupled model COHERENS-SED, which has been developed through introducing wave-enhanced bottom shear stress, wave dependent surface drag coefficient, wave-induced surface mixing, SWAN, damping function of sediment on turbulence, sediment model and depth-dependent wave radiation stress to COHERENS. The COHERENS-SED is adopted to study the effects induced by wave-induced three-dimensional longshore current on suspended sediment spreading of the Huanghe River (Yellow River) mouth. Several different cases divided by setting different wave parameters of inputting boundary waves are carried out. The modeling results agree with measurement data. In terms of simulation results, it is easy to know that three-dimensional wave radiation stress plays an obvious role when inputting boundary wave height is stronger than 3 m. Moreover, wave direction also affects the sediment spreading rules of the mouth strongly too.     

基于奇异谱分析的深圳近海净初级生产力时间序列研究

海洋净初级生产力(Net Primary Productivity, NPP)长时间序列分析可获取NPP多年变化趋势、季节变化等动态信息,对海洋环境的监测与预报具有重要意义。本文以2003～2013年月际尺度净初级生产力卫星遥感产品为数据源,通过奇异谱分析提取标准化净初级生产力时间序列的长期趋势和周期振荡特征。研究表明,①浮标监测数据的叶绿素a浓度、海表温度与MODIS的叶绿素a浓度、海表温度产品变化趋势基本一致,NPP时间序列产品可用于分析深圳近岸海域净初级生产力的变化趋势。②空间分布上,深圳西部海域的NPP和叶绿素a浓度远高于大鹏湾和大亚湾,大鹏湾和大亚湾的NPP和叶绿素a浓度均值及变化趋势非常接近。三个海区NPP、叶绿素a浓度、海表温度和光合有效辐射在季风转换期变化剧烈。③长期趋势上,深圳西部海域呈现2 a周期波动趋势,在均值附近以年为周期上下波动。大鹏湾和大亚湾2003～2006年NPP低于平均水平, 2008年后NPP开始以年为周期围绕平均值上下波动, 2012年后NPP整体与均值持平。④周期特征上,深圳西部海域、大鹏湾和大亚湾的NPP呈"W"或"M"型周年变化,存在夏季主高峰(6～7月)和冬季次高峰(12～1月)。     

Study on the Properties of Blazar Jets

The multi-wavelength quasi-simultaneous data of 55 Fermi blazars are fitted by using the conical jet model, and the physical properties of blazar jets are also investigated. Through the X²-minimization fitting procedure, the best-fit parameters of the conical jet model are obtained. Combined with the other parameters we collected, a statistical analysis is performed. The results of statistical analysis are summarized as follows: (1) The jet power obtained by the spectral energy distribution (SED) fitting is larger than the jet power calculated by using the extended radio luminosity; (2) There is no correlation between the Doppler factor 5 and the magnetic field strength B; (3) There is a correlation between the jet power and the accretion disk luminosity, and the Blandford-Znajek (BZ) mechanism can well explain the energy source of BL Lac jets rather than Flat Spectrum Radio Quasars (FSRQs); (4) The jet power is significantly correlated with the black hole mass.