Transcriptome analysis of the Chinese grass shrimp Palaemonetes sinensis (Sollaud 1911) and its predicted feeding habit

Journal of Oceanology and Limnology - Chinese grass shrimp Palaemonetes sinensis is an economically important freshwater shrimp in China. However, wild resources of grass shrimp have declined...     

Spatio-temporal Variation of Soil Respiration and Its Driving Factors in Semi-arid Regions of North China

Soil respiration (SR) is the second-largest flux in ecosystem carbon cycling. Due to the large spatio-temporal variability of environmental factors, SR varied among different vegetation types, thereby impeding accurate estimation of CO₂ emissions via SR. However, studies on spatio-temporal variation of SR are still scarce for semi-arid regions of North China. In this study, we conducted 12-month SR measurements in six land-use types, including two secondary forests (Populus tomentosa (PT) and Robinia pseudoacacia (RP)), three artificial plantations (Armeniaca sibirica (AS), Punica granatum (PG) and Ziziphus jujuba (ZJ)) and one natural grassland (GR), to quantify spatio-temporal variation of SR and distinguish its controlling factors. Results indicated that SR exhibited distinct seasonal patterns for the six sites. Soil respiration peaked in August 2012 and bottomed in April 2013. The temporal coefficient of variation (CV) of SR for the six sites ranged from 76.98% to 94.08%, while the spatial CV of SR ranged from 20.28% to 72.97% across the 12-month measurement. Soil temperature and soil moisture were the major controlling factors of temporal variation of SR in the six sites, while spatial variation in SR was mainly caused by the differences in soil total nitrogen (STN), soil organic carbon (SOC), net photosynthesis rate, and fine root biomass. Our results show that the annual average SR and Q₁₀ (temperature sensitivity of soil respiration) values tended to decrease from secondary forests and grassland to plantations, indicating that the conversion of natural ecosystems to man-made ecosystems may reduce CO₂ emissions and SR temperature sensitivity. Due to the high spatio-temporal variation of SR in our study area, care should be taken when converting secondary forests and grassland to plantations from the point view of accurately quantifying CO₂ emissions via SR at regional scales.     

Extreme Flood Events over the Past 300 Years Inferred from Lake Sedimentary Grain Sizes in the Altay Mountains,Northwestern China

Understanding the temporal variations of extreme floods that occur in response to climate change is essential to anticipate the trends in flood magnitude and frequency in the context of global warming. However, long-term records of paleofloods in arid regions are scarce, thus preventing a thorough understanding of such events. In this study, a reconstruction of paleofloods over the past 300 years was conducted through an analysis of grain sizes from the sediments of Kanas Lake in the Altay Mountains of northwestern China. Results showed that grain parameters and frequency distributions can be used to infer possible abrupt environmental events within the lake sedimentary sequence, and two extreme flood events corresponding to ca. 1736–1765 AD and ca. 1890 AD were further identified based on canonical discriminant analysis(CDA) and coarse percentile versus median grain size(C-M) pattern analysis, both of which occurred during warmer and wetter climate conditions by referring to tree-ring records. These two flood events are also evidenced by lake sedimentary records in the Altay and Tianshan mountains. Furthermore, through a comparison with other records, the flood event from ca. 1736–1765 AD in the study region seems to have occurred in both the arid central Asia and the Alps in Europe, and thus may have been associated with changes in the North Atlantic Oscillation(NAO) index.     

Control of high-order harmonic generation with two-colour laser field

We numerically investigate the high-order harmonic generation with two-colour optical field, taking into consideration the propagation effects. Some harmonics can be dramatically enhanced at a certain delay between the fundamental pulse and its second harmonics. Choice of the enhanced harmonics can be realised by changing the time delay between the two laser pulses.     

日本无针乌贼全人工养殖条件下生活史研究

自2004—2007年间对日本无针乌贼Sepiella japonica进行了室内全人工养殖。亲体经暂养、促熟、交配后,在投放的附着基上产卵。孵化水温20~26℃,盐度25.0~32.0。受精卵经17~26d破膜而出。刚孵化的幼体为浮游型,胴长约为4mm。开口饵料为动物性活饵,如枝角类、桡足类、强化卤虫。经90~120d培育达到性成熟。获得性成熟个体2万只,成活率可达60%,平均体重100g。最小性成熟个体胴体长50mm。日龄120d可产卵,产卵量300~500粒。     

全过程联合校正方法在饶河流域洪水预报中的应用研究

为提高饶河流域洪水预报精度,将全过程联合校正(EPJC)方法与三水源新安江(XAJ)模型结合,按一定比例划分洪水预报总误差为各过程误差,基于系统响应理论反演得到面雨量计算误差和模型参数误差,重新输入流域水文模型正演得出校正后的洪水过程.选取洪峰流量相对误差、峰现时间绝对误差、径流深相对误差和确定性系数作为模型评价指标,...     

小麦吸浆虫的发生规律及防治

小麦吸浆虫的发生和温、湿度条件关系密切.平舆县3月中、下旬和4月份的地温适宜成虫活动,4月份降水较多时,很适宜吸浆虫发生.防治措施以麦播期和蛹期防治为主,穗期成虫补治为辅,严把麦播期、孕穗期(蛹期)和抽穗期(成虫期)“三关“防治.     

中国贵金属矿床的基本成矿规律与找矿方向

通过对近年来贵金属矿床勘查进展及其主要类型、主要成矿时代、主要矿集区等的分析与归纳,总结了中国金矿床、银矿床和铂族元素矿床的基本成矿规律,并提出它们各自的找矿方向。中国金矿床类型多,主要形成于中生代和新生代,集中在胶东、辽东、华北地台边缘、小秦岭、阿尔泰、金沙江-红河断裂带、台湾和东南沿海、滇黔桂、陕甘川及长江、黑龙江等主要水系的上游,金矿的找矿方向包括:①老矿区的"探边摸底"和"攻深找盲";②新矿集区的典型研究与采选冶技术改进;③综合利用技术的创新将使相当多的表外矿变为当前可开采的矿床;④新区勘查;⑤加强成矿系列、成矿体系和成矿规律的研究,以理论指导找矿并综合评价。中国银矿以伴生银矿为主,主要形成于中生代和新生代,变质岩、岩浆岩和沉积岩均可容矿,造山带和盆地区的构造破碎带尤其值得重视。当前需要加强对锰矿区含银性和Mn异常区的研究,尤其是中国东部中新生代盆地区断裂带与Mn、Ag化探异常吻合地区,应该综合评价。中国铂族元素矿床可以分为岩浆型、沉积型和热液型三大类,可形成于从前寒武纪到新生代的各个时代,至少构成8个重要成矿远景区(带),重点放在康滇地轴和二叠纪末期峨眉地幔柱影响到的地区,但华北地台老基底中的原生矿及其周边的砂矿不可忽视。     

Investigation of highly efficient algorithms for solving linear equations in the discontinuous deformation analysis method

Large‐scale engineering computing using the discontinuous deformation analysis (DDA) method is time‐consuming, which hinders the application of the DDA method. The simulation result of a typical numerical example indicates that the linear equation solver is a key factor that affects the efficiency of the DDA method. In this paper, highly efficient algorithms for solving linear equations are investigated, and two modifications of the DDA programme are presented. The first modification is a linear equation solver with high efficiency. The block Jacobi (BJ) iterative method and the block conjugate gradient with Jacobi pre‐processing (Jacobi‐PCG) iterative method are introduced, and the key operations are detailed, including the matrix‐vector product and the diagonal matrix inversion. Another modification consists of a parallel linear equation solver, which is separately constructed based on the multi‐thread and CPU‐GPU heterogeneous platforms with OpenMP and CUDA, respectively. The simulation results from several numerical examples using the modified DDA programme demonstrate that the Jacobi‐PCG is a better iterative method for large‐scale engineering computing and that adoptive parallel strategies can greatly enhance computational efficiency. Copyright © 2015 John Wiley & Sons, Ltd.