Influence of habitat heterogeneity and bed surface complexity on benthic invertebrate diversity in a gravel‐bed river

Maintaining or restoring physical habitat diversity is a central tenet of sustainable river management, yet a link between habitat and ecological diversity in fluvial systems has long remained equivocal. The lack of consistent evidence partly reflects the problems of characterizing habitat in ways that are ecologically meaningful. This paper assesses the influence of habitat heterogeneity and complexity on macroinvertebrate assemblages in a mountain gravel‐bed river. With the use of 0.1‐m resolution data obtained from an acoustic Doppler current profiler, heterogeneity and complexity in hydraulic conditions and bed topography were characterized using 13 metrics applied to 30 areas, each 1 m², with an invertebrate sample collected from each area. Turnover of invertebrate taxa (i.e., β‐diversity) between sampled areas was rather limited, but observed differences in diversity were related significantly to several metrics of habitat heterogeneity. Invertebrate abundance was related to habitat diversity, patch size coefficient of variation, and patch size, whereas the Shannon diversity was related to the number of patches and patch size. None of the habitat complexity metrics accounted for a significant amount of observed variation in invertebrate communities between sampled areas. The paper demonstrates that high‐resolution data can help reveal relationships between habitat and benthic invertebrate diversity.     

丝绸之路经济带（中国段）节点城市空间差异及发展布局

“丝绸之路经济带”作为多维度的国家战略构想,是新政经周期下中国总体区域发展重大战略之一,而沿线城市点、带、群是推进该项重大战略实施的现实载体。当前,“丝绸之路经济带”战略下的城市定位,往往与区域自身发展及利益诉求并不完全吻合,亟待对区域总体特征及发展现实以理性认知,防范城市“标签化”的盲动倾向。以“丝绸之路经济带”沿线区域关键节点城市客观空间状况与基本产业布局概貌为基础,采用多层次综合测度模型定量评价各城市综合竞争力,提出采取差异化的“点-轴”式带动策略是推进经济带整体发展的建设性思路,并结合城市经济地理特征探讨节点城市未来的发展布局定位问题。     

基于准正交编码的MIMO空间光通信技术研究

由于自由空间光通信严重受到大气湍流引起的光强起伏,光束漂移等问题对通信性能的影响,本文研究了大气信道特性并分析了空时分组编码方案,采用MIMO技术提高自由空间光通信系统的性能。基于MIMO技术下的准正交编码方案不仅可以增强信道的抗衰落能力而且可以提供一定的分集增益和编码增益。在Matlab平台下使用蒙特卡罗模拟方法,对系统的信道容量和误码率进行数值研究。仿真结果表明:采用MIMO技术能够提高信道容量,有效改善误码性能,而且分集数越高,通信质量越好。     

两状态LMS信道中LMS系统的近似中断性能研究

针对通用的两状态陆地移动卫星(LMS)信道模型中,每一状态的Loo分布包含无限范围内的积分且不存在闭合形式,导致性能估计难以实现的问题,基于两状态信道模型给出等增益合并分集LMS系统中断概率的闭式解。利用Taylor级数展开法将包络的概率密度函数(PDF)近似为Rice分布PDF的加权和,利用Beaulieu序列法推导独立信道随机变量和的累积分布函数和二阶矩,得出系统中断概率的闭式解。仿真结果表明,近似中断概率与理论值十分一致,具有精确性、灵活性、复杂度低的优点。     

Multi-criteria user selection scheme for learning-based multiuser MIMO cognitive radio networks

For multiuser multiple-input-multiple-output (MIMO) cognitive radio (CR) networks a four-stage transmiision structure is proposed. In learning stage, the learning-based algorithm with low overhead and high flexibility is exploited to estimate the channel state information (CSI) between primary (PR) terminals and CR terminals. By using channel training in the second stage of CR frame, the channels between CR terminals can be achieved. In the third stage, a multi-criteria user selection scheme is proposed to choose the best user set for service. In data transmission stage, the total capacity maximization problem is solved with the interference constraint of PR terminals. Finally, simulation results show that the multi-criteria user selection scheme, which has the ability of changing the weights of criterions, is more flexible than the other three traditional schemes and achieves a tradeoff between user fairness and system performance.     

东北地区植物花色类别与传粉者之间的相关性

花色一直被认为是吸引传粉者的诱物之一,是开花植物与传粉者长期相互选择的结果。作者统计了东北地区虫媒植物共计1 142种,同时利用出版物和网络资料提供的照片并比对标准色谱,确定这些虫媒植物花的颜色和色谱范围。发现在东北地区,单色系花中白色花所占比例最大,超过35%,黄色系和红色系次之,各占20%多一点,橙色花最少,仅占2%,其余为混合色系花,即一朵花或一个花序上的花有两种以上颜色。针对色谱分类结果以及东北地区常见的传粉昆虫的相关资料,讨论了花的颜色与传粉者之间的相关性。     

基因表达式编程中动态适应的远缘繁殖策略

传统基因表达式编程采用静态适应度函数,影响了后期进化速度和整体质量。提出了远缘繁殖策略和动态适应度函数策略,远亲繁殖并及时变换评估个体的标准,增加多样性并有利于选择优质个体;实验表明,将远缘繁殖和动态适应度函数策略结合,有效地改善了传统GEP的性能,进化代数平均下降达10%,平均最高适应度值提高7%~14%,最高适应度提高达7%以上,进化的成功率提高达30%以上。     

浮游生物生物学评价在乐昌峡水质监测中的应用

浮游生物是水生食物链的基础,在水生生态系统中占有重要地位,许多浮游生物对环境变化反应很敏感,可作为水质的指示生物。该文以乐昌峡水利枢纽水库中浮游生物的香农—威纳多样性指数[1]和群落均匀度指数评价库区水体营养状况,该方法区别于常规水质监测模式,从另一个方面反映了水体水质,可为乐昌峡水环境保护工作提供依据,对提高枢纽水资源管理水平,保障枢纽的安全、高效运行具有重要意义。     

非标准约束恒模盲多用户检测的改进算法研究

针对码分多址蜂窝移动通信中存在的多址干扰问题,以瑞利分布为变步长,构造了基于瑞利分布变步长的非标准约束恒模算法;与差分形式相结合,提出了基于瑞利分布变步长的非标准约束差分恒模算法(RDV-NSCDCMA);分析了此算法的性能并与非标准约束恒模算法(NSCCMA)进行了仿真比较.     

具备反向学习和局部学习能力的粒子群算法

为解决粒子群优化（Particle Swarm Optimization,PSO）算法中存在的种群多样性和收敛性之间的矛盾,该文提出了一种具备反向学习和局部学习能力的粒子群优化算法（Reverse-learning and Local-learning PSO,RLPSO）。该算法保留了初始种群中满足排异距离要求的多个较差粒子以及每个粒子的历史最差位置。当检测到算法陷入局部最优时,利用这些较差粒子的位置信息指导部分粒子以较快飞行速度进行反向学习,将其迅速牵引出局部最优区域。反向学习过程可改善粒子种群的多样性,保证了算法的全局探测能力;同时,利用较优粒子间的差分结果指导最优粒子进行局部学习与搜索,该过程可与粒子群的飞行过程并行执行,且局部学习的缩放因子可随进化过程动态调节。局部学习可提高算法的求解精度,保证算法的迅速收敛。实验结果表明,RLPSO 算法同其他 PSO 算法相比,在高维函数优化中具有收敛速度快、求解精度高的特点。