Isolation and characterization of 49 polymorphic microsatellite loci for Decapterus maruadsi using SLAF-seq,and cross-amplification to related species

Decapterus maruadsi is a commercially important species in China, but has been heavily exploited in some areas. There is a growing need to develop microsatellites promoting its genetic research for the adequate management of this fishery resources. The recently developed specific-locus amplified fragment sequencing (SLAF-seq) is an efficient and high-resolution method for genome-wide microsatellite markers discovery. In this study, 28 905 microsatellites (mono- to hexa-nucleotide repeats) were identified using SLAF-seq technology, of which di-nucleotide was the most frequent (13 590, 47.02%), followed by mono-nucleotide (8 138, 28.15%), tri-nucleotide (5 727, 19.81%), tetra-nucleotide (1 104, 3.82%), pentanucleotide (234, 0.81%), and hexa-nucleotide (112, 0.39%). One hundred and thirty-two microsatellite loci (di- and tri-nucleotide) were randomly selected for amplification and polymorphism, of which 49 were highly polymorphic and well-resolved. The average number of alleles per locus was 13.63, ranging from 4 to 25, and allele sizes varied between 110 bp and 309 bp. The observed heterozygosity ( H_o ) and expected heterozygosity ( H_e ) ranged from 0.233 to 1.000 and from 0.374 to 0.959, with mean values of 0.738 and 0.836, respectively. The polymorphism information content (PIC) ranged from 0.341 to 0.941 (mean=0.806). However, 12 loci deviated from Hardy-Weinberg equilibrium. Furthermore, transferability tests were also successful in validating the utility of the developed markers in five phylogenetically related species of family Carangidae. A total of 48 microsatellite markers were successfully cross-amplified in Decapterus macarellus, Decapterus macrosoma, Decapterus kurroides, Trachurus japonicus, and Selaroides leptolepis. The present microsatellites provided the first known set of microsatellite DNA markers for D. maruadsi, D. macarellus, D. kurroides, and D. macrosoma, and would be useful for further population genetic and molecular phylogeny studies as well as help with the fisheries management formulation and implementation of the understudied species.

     

Effects of stocking density on the growth and immunity of Atlantic salmon salmo salar reared in recirculating aquaculture system (RAS)

Atlantic salmon reared in recirculating aquaculture system (RAS) may lead to inappropriately high stocking density, because fish live in a limited space. Finding the suitable stocking density of Atlantic salmon reared in RAS is very important for RAS industry. In this paper, the influence of stocking density on growth and some stress related physiological factors were investigated to evaluate the effects of stocking density. The fish were reared for 220 days at five densities (A: 24 kg/m³; B: 21 kg/m³; C: 15 kg/m³; D: 9 kg/ m³ and E: 6 kg/m³ ). The results show that 30 kg/m³ might be the maximum density which RAS can afford in China. The stocking densities under 30 kg/m³ have no effect on mortality of Atlantic salmon reared in RAS. However, the specific growth rate (SGR), final weight and weight gain in the high density group were significantly lower than the lower density groups and middle density groups. Moreover, feed conversion rate (FCR) had a negative correlation with density. Plasma hormone T₃ and GH showed significant decrease with the increase of the stocking density of the experiment. Furthermore, thyroid hormone (T₃), GH (growth hormone) activities were decreased with stocking density increase. However, plasma cortisol, GOT (glutamic oxalacetic transaminase) and GPT (glutamic pyruvic transaminase) activities were increase with stocking density increase. And the stocking density has no effects on plasma lysozyme of Atlantic salmon reared in RAS. These investigations would also help devise efficient ways to rear adult Atlantic salmon in China and may, in a way, help spread salmon mariculture in China.

     

地方依恋对城市居民社区参与的影响研究 ——以广州为例

基于2015年广州市1 273份居民问卷调查和半结构性访谈数据,结合逐步LPM回归和中介效应模型,探讨地方依恋和社区参与两者关系中存在的中介效应及其传导机制,并系统对比本地居民与外来移民之间的差异。研究发现：① 社区居民的地方依恋能够直接提升其社区参与期望;② 社区参与行为作为一个中介变量,在地方依恋对社区参与期望的影响中发挥中介效应;③ 对比本地居民,外来移民的社区参与行为和期望程度相对较低;④ 外来移民的社区参与行为对其社区参与期望影响的中介效应相对较弱。揭示了中国城市居民社区参与中存在户籍制度壁垒,需要进一步通过社区公共服务均等化措施,提升居民尤其是外来移民的获得感、幸福感和安全感。     

海岸带及其调查技术进展

海岸带是重要海陆过渡带地貌单元与区域,兼受海陆动力双重作用与影响,包括不同类型的沉积相,经历复杂的动力沉积、地貌演变及灾变过程。海岸带调查涉及学科交叉融合,调查要素相对独立与内容多学科交叉并存。我国曾分别于1960年、1981年和2003年组织开展过全国海岸带综合调查工作,调查获取了大量丰硕成果。当前海岸带调查与研究过程中亦暴露出一些亟需突破问题,包括:1)海岸带存在大范围"盲区",浅水易陷、礁石养殖等区域难以到达,成为海岸带数据"空白区"、调查"禁区";2)我国海岸带观测平台数量少、分布零散,未形成综合有效观测网,导致长时间序列、多源准同步调查数据缺乏,难以准确把握海岸带变化规律,破解资源环境有关问题;3)海岸带数据获取智能化程度低,严重阻碍制约有关对策及时有效性;4)海岸带不同学科协同调查、交叉融合研究模式尚未建立,不能及时发现海岸带科学问题。今后海岸带调查将在海岸带高分辨率过程数据、全覆盖无死角实时动态数据获取技术,长时间序列综合数据采集平台建设,陆海空全天候立体化数据采集传输及快速智能决策,以及海岸带多学科交叉攻关研究等方面取得突破。     

基于WRF的黄渤海海雾数值模拟参数化方案研究

对数值模拟的研究现状进行了总结梳理,分析了已有研究的不足,并根据研究目标在已有研究结论基础上有针对性地设计了敏感性实验方案。经过与实地观测的结果对比来看,与海雾模拟密切相关的边界层参数化方案中的YSU方案对我国黄渤海海区的不同强度海雾均具有良好的适用性,而长波辐射方案中的Fu-Liou-Gu方案则具有更好的普适性,在这种核心方案配置下的模拟结果均可满足一般科学研究与预报业务的需求。     

基于无人机多源遥感数据海岛植被叶面积指数协同反演研究

无人机多源遥感数据的获取、融合以及应用是当今研究的热点和难点。文中以城洲岛为例,针对海岛特殊的地理生态环境,获取无人机多源遥感数据。结合无人机多光谱遥感数据定量分析各遥感植被指数与植被叶面积指数(Leaf Area Index, LAI)的响应关系,构建单因子遥感反演模型;基于无人机激光LiDAR点云提取海岛植被冠层高度模型(Canopy Height Model,CHM),并将其作为自变量引入到多源统计回归分析中,从而构建多源遥感数据协同反演模型,对区域尺度下海岛叶面积指数(LAI)进行估算,开展验证和精度评价。结果显示,加入植被冠层高度因子的协同反演模型的判定系数R2为0.92,绝对平均误差系数为12.29%,预测精度要优于单因子反演模型(判定次数R2为0.86,绝对平均误差系数19.95%)。研究表明,加入了植被冠层高度因子的协同反演模型能在一定程度上提高乔木植被LAI的预测精度。实践证明,无人机多源遥感技术在生态学定量研究中具有巨大的潜力和广阔的应用前景。     

我国经营性海洋牧场产业链延伸研究

我国经营性海洋牧场产业目前主要以育苗、养殖、捕捞、生产、加工的产业链形式存在,文章在分析经营性海洋牧场发展制约因素的基础上,对于海产品产业链的延伸进行研究并提出建议:在苗种培育产业的基础上延伸出"参与式观光业",在开展养殖业的同时兼并实施新产业"DIY养殖业",产品收获后进行"精深加工业"的同时开展"观光旅游业",销售行业采取线上线下与企业之间结合的"O2O+B2B"模式,面向客户方面鼓励新机构即"反馈机构"的建立与推广,拓展休闲渔业产业,发展新型休闲渔业。通过产业链延伸,旨在开拓海产品的市场空间,以期获取更多的经济效益,提升海洋牧场综合效益。     

海底玄武岩中次生组分HCl溶解实验研究

次生组分沉淀是海底岩石中普遍存在的现象,次生组分去除是减少次生组分干扰、获取海底岩石高质量数据的关键。选择西太平洋麦哲伦海山区MK海山相对新鲜的玄武岩作为研究对象,经研磨、均一化后将粉末样品分为49份,其中48份分别以0.25,0.50,1.00,1.50,2.00,2.50 mol/L六种浓度的足量HCl溶解0.5,1,2,4,8,16,32和64 h后,选取溶解残渣测定主要氧化物和特征微量元素质量分数,确定HCl溶解法在去除次生组分的同时不会对海底新鲜玄武岩中原生组分造成影响的HCl浓度-时间组合。结果表明,在HCl浓度为1.00～2.50 mol/L,溶解时间为0.5～2 h的12种HCl浓度-时间组合均可保证海底玄武岩中原生组分的安全,并可有效去除次生组分。综合海底蚀变玄武岩次生组分去除实验研究,推荐使用1.00～2.00 mol/L HCl,溶解时间在0.5～1 h的实验方案。     

卫星导航增强系统建设与发展

自卫星导航系统诞生以来,人们发展了多种增强技术和手段,并建立了大批增强系统,以满足用户更高精度和完好性的需求.由于卫星导航增强技术客观上晚于基本系统出现,且都是按需独立建立,因此不可避免地存在着"碎片"和"补丁"式发展问题,相互之间功能重叠,缺乏统一的规划和标准,未成体系化建设.本文回顾和总结了卫星导航增强技术的产生和发展历程,梳理了相关技术内涵与定义,并重点介绍了中国北斗卫星导航系统(BDS)增强体系的建设和发展情况.在此基础上,结合5G通信、低轨卫星等新兴技术,对卫星导航增强体系未来发展动态进行了展望和分析,并对未来北斗定位、导航与授时(PNT)综合服务中的增强体系建设提出了建议.     

Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.