小叶锦鸡儿(Caragana microphylla)群落蒸散发模拟

基于2016、2017年生长季原位气象监测数据,利用Shuttleworth-Wallace(S-W)模型模拟了科尔沁沙地主要固沙植物小叶锦鸡儿(Caragana microphylla)群落的蒸散发,对蒸散组分进行了拆分,并利用涡度相关系统对模拟蒸散发值进行了验证。结果表明:2016、2017年生长季小叶锦鸡儿群落蒸散发量分别为345.4、325.2 mm,土壤蒸发量分别为93.8、83.8 mm,植被蒸腾量分别为251.6、241.4 mm,土壤蒸发占总蒸散发分别为27.2%、25.8%。30 min尺度上模拟值与实测值一致性较高,模拟精度大体表现为晴天>阴天>雨天。持续干旱和降水后,小叶锦鸡儿蒸腾耗水规律明显不同,持续干旱时期小叶锦鸡儿保持较低的蒸腾耗水,且具有明显的"午休"现象,连续降水后小叶锦鸡儿"午休"消失,蒸腾耗水增强。饱和水汽压差是影响小叶锦鸡儿蒸散发的主要因子。     

Methods Comparison for Microsatellite Marker Development： Different Isolation Methods, Different Yield Efficiency

Microsatellite markers have become one kind of the most important molecular tools used in various researches. A large number of microsatellite markers are required for the whole genome survey in the fields of molecular ecology, quantitative genetics and genomics. Therefore, it is extremely necessary to select several versatile, low-cost, efficient and time- and labor-saving methods to develop a large panel of microsatellite markers. In this study, we used Zhikong scallop (Chlamys farreri) as the target species to compare the efficiency of the five methods derived from three strategies for microsatellite marker development. The results showed that the strategy of constructing small insert genomic DNA library resulted in poor efficiency, while the microsatellite-enriched strategy highly improved the isolation efficiency. Although the mining public database strategy is time- and cost-saving, it is difficult to obtain a large number of microsatellite markers, mainly due to the limited sequence data of non-model species deposited in public databases. Based on the results in this study, we recommend two methods, microsatellite-enriched library construction method and FIASCO-colony hybridization method, for large-scale microsatellite marker development. Both methods were derived from the mi-crosatellite-enriched strategy. The experimental results obtained from Zhikong scallop also provide the reference for microsatellite marker development in other species with large genomes.     

Impacts of soil fauna on litter decomposition at different succession stages of wetland in Sanjiang Plain, China

Litter decomposition is the key process in nutrient recycling and energy flow. The present study examined the impacts of soil fauna on decomposition rates and nutrient fluxes at three succession stages of wetland in the Sanjiang Plain, China using different mesh litterbags. The results show that in each succession stage of wetland, soil fauna can obviously increase litter decomposition rates. The average contribution of whole soil fauna to litter mass loss was 35.35%. The more complex the soil fauna group, the more significant the role of soil fauna. The average loss of three types of litter in the 4mm mesh litterbags was 0.3–4.1 times that in 0.058mm ones. The decomposition function of soil fauna to litter mass changed with the wetland succession. The average contribution of soil fauna to litter loss firstly decreased from 34.96% (Carex lasiocapa) to 32.94% (Carex meyeriana), then increased to 38.16% (Calamagrostics angustifolia). The contributions of soil fauna to litter decomposition rates vary according to the litter substrata, soil fauna communities and seasons. Significant effects were respectively found in August and July on C. angustifolia and C. lasiocapa, while in June and August on C. meyeriana. Total carbon (TC), total nitrogen (TN) and total phosphorus (TP) contents and the C/N and C/P ratios of decaying litter can be influenced by soil fauna. At different wetland succession stages, the effects of soil fauna on nutrient elements also differ greatly, which shows the significant difference of influencing element types and degrees. Soil fauna communities strongly influenced the TC and TP concentrations of C. meyeriana litter, and TP content of C. lasiocapa. Our results indicate that soil fauna have important effects on litter decomposition and this influence will vary with the wetland succession and seasonal variation. Foundation item: Under the auspices of State Key Development Program for Basic Research of China (No. 2009CB421103), Key Program of National Natural Science Foundation of China (No. 40830535/D0101), Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-BR-16, KSCX2-YW-N-46-06)     

The 1978 outburst of the recurrent nova WZ Sagittae

We give the results of photographic observations of the recurrent nova WZ Sge during its 1978 outburst, between December 5 and 25, using the double astrograph of Beijing Observatory. We discuss the observed properties and calculate the total energy released during the outburst to be about 1.07 (+40) erg. We estimate that the next outburst will occur around the year 2011.     

20世纪90年代中国东西部土地利用变化时空特征分析

在覆盖全国的1km栅格土地利用本底与动态成分数据时空信息平台支持下,应用土地利用动态度模型,分别计算了全国及东西部地区土地利用一级类型的单一和综合动态度,并分析了土地利用动态度的空间格局。通过分析东西部土地利用类型变化特征和土地利用类型转换特征,对20世纪90年代中国东西部土地利用变化过程的时空特征进行了全面分析,揭示了东西部地区土地利用变化的时空规律。并对主要土地利用类型变化的原因进行了分析。     

雄性半滑舌鳎雄激素受体基因的克隆与表达分析

利用RT-PCR方法从半滑舌鳎(Cynoglossus semilaevis)中克隆了雄激素受体(Androgen receptor,AR)基因cDNA的部分序列(434 bp),经BLAST比对与狼鲈(Dicentrarchus labrax)、花溪(Kryptolebias marmoratus)、三斑海猪鱼(Halichoeres trimaculatus)和三刺鱼(Gasterosteus aculeatus)的雄激素受体同源性分别为84%,82%,82%和81%.组织表达分析表明,AR基因在半滑舌鳎的性腺、肝、胃、脾、肾、头肾、肠、鳃、心、脑和肌肉这11种组织中均有表达,表达量有所差异.肾中表达量最丰富,鳃中最少.根据其他硬骨鱼类表达模式,推测半滑舌鳎可能只含有1种AR.     

北黄海温盐分布季节变化特征分析

利用2006～2007年夏冬春秋4个季节北黄海的大面调查资料,分析了4个季节北黄海温度和盐度大面以及典型断面分布特征,得出以下结论:2007年冷水团势力范围强于2006年,北黄海冷水团的形成受地形影响.黄海暖流冬春季较强,冬季最强,夏季最弱,秋季开始形成.鲁北沿岸流冬季最强,春季减弱,夏秋季消失,但夏季鲁北沿岸存在冬季鲁北沿岸流水的残余体,即鲁北沿岸水.辽南沿岸水4个季节都以低盐为特征,除夏季低盐中心位于庄河口外,其它3个季节低盐中心均位于调查区域的东北角.渤海与北黄海之间的水交换4个季节都存在.春季,断面盐跃层形成滞后于温跃层;秋季,断面盐跃层消失滞后于温跃层.     

Wavenumber and depth properties of temperature finestructure in the region around the Ryukyu Islands

INTRODUCTIONTheoceanicfinestructureintheEastChinaSea (ECS)Kuroshioregionhadbeenstudiedbyvariousresearchers.Fangetal.(1 988)studiedthefeaturesofthefinestructureinthesouthernshelfareaandtheKuroshioareaintheECSbyusingCTDdata .Baoetal.(1 996)analyzedsomefeaturesofthermohalinefinestructureandrevealeditsrelationwiththewatermassesandcurrentssysteminthenorthernECS .ButoceanicfinestructureintheeasternregionoftheKuroshiohassel dombeenstudied .Inthispaper,basedon 4 2CTDprofilesgatheredinsum…     

塔里木克拉通东北缘二叠纪镁铁质岩浆氧化物与硫化物成矿条件对比

塔里木克拉通东北缘坡北、磁海等地二叠纪幔源岩浆活动形成了镍钴硫化物矿床和铁钴氧化物矿床,两者赋矿镁铁-超镁铁岩体的年龄相近(290～260 Ma),主、微量元素和Sr-Nd-Hf同位素组成相似,分配系数接近的微量元素比值分布于相同趋势线,揭示两者岩浆源区相同,可能为俯冲板片流体交代的亏损地幔或软流圈地幔。两类矿床镁铁-超镁铁质岩中Co与Ni含量正相关,Co主要富集在基性程度高的岩石中;块状硫化物与磁铁矿矿石中Co与Ni相关性差,Co和Ni具有不同的富集机制,Co热液富集作用明显。北山镁铁-超镁铁杂岩体是地幔柱相关软流圈上涌,诱发俯冲板片交代的亏损岩石圈地幔发生部分熔融,形成的高镁母岩浆演化过程中经历壳源混染、硫化物饱和富集镍钴形成铜镍钴硫化物矿床,富铁母岩浆氧逸度高、富水,岩浆分离结晶磁铁矿、叠加热液作用富集钴,形成铁钴氧化物矿床。     

南北两极海冰的涛动关系

本文将南极海冰分为４个区：ＳＰＩ１（０°－１２０°Ｅ），东南极海冰；ＳＰＩ２（１２０°Ｅ－１２０°Ｗ），以罗斯海为主体的海冰区；ＳＰＩ３（１２０°Ｗ－０°），以威德尔海为主体的海冰区；ＳＰＩ４，全南极海冰区。北极海冰区分为３个区：ＮＰＩ１（９０°Ｅ－１８０°－９０°Ｗ），太平洋侧冰区；ＮＰＩ２（９０°Ｗ－０°－９０°Ｅ），大西洋侧冰区；ＮＰＩ３，全北极冰区。本文使用了ＷＤＣ－Ａ的ＳＩＧＲＩＤ海冰资料，以分析南极和北极各冰区之间的相互关系。发现两极各冰区之间存在着非常复杂的相互作用。其中最突出的特征是：两极海冰之间相互作用的振源是ＮＰＩ２。ＳＰＩ３是影响南极海冰的正反馈中心。ＳＰＩ２则是南北两极海冰的负反馈中心。ＮＰＩ２，ＳＰＩ３和ＳＰＩ２之间的相互作用最强，形成涛动关系。这种涛动关系不是同时期的，而是有较长的滞后时间差。两极海冰形成周期变化，其周期为５－６年，正与ＮＰＩ２和ＳＰＩ３自身变化周期一致。另外还有更长的循环周期９－１１年