溱湖湿地生态系统服务价值评估研究

利用实地调研结果,结合相关文献资料,采用市场价值法、影子工程法、旅行费用法等评估方法,对溱湖湿地生态系统的物质生产、涵养水源和调蓄洪水、提供动植物栖息地、调节气候、降解污染物和科考旅游等6个效益最为突出的生态系统服务功能经济价值指标进行评估。研究表明：溱湖湿地生态系统的总价值为1.15×109元,其中直接使用价值为7.708×108元,间接使用价值为3.62×108元,非使用价值为0.18×108元。其中科考旅游价值所占比重最大,为40.84％,调节气候价值次之,而生物多样性保护价值仅占1.45%。对溱湖湿地生态系统服务功能及服务价值的探讨,可正确认识该生态系统的生态经济价值,为合理开发利用提供决策参考,确保其资源的可持续利用。     

桂北376铀矿床烃气地球化学研究

烃气测量法在锡、金、铜、铅锌等金属矿床找矿中得到了广泛应用,而该技术在花岗岩型铀矿找矿中的应用鲜有报道。本文对桂北376铀矿床已知矿体开展了烃气测量试验,结果显示：相较于其他金属矿,该铀矿区花岗岩和土壤中总烃含量极低,而且花岗岩总烃含量(平均19.42μL/kg)高于上覆土壤(平均6.32μL/kg)。花岗岩中U与多数烃气组分呈负相关,与重烃呈正相关,重烃在U迁移过程中作用强于轻烃;花岗岩烃气标准化配分模式以C₁、iC₄和C₂^-正异常为特征;铀矿化程度与iC₄/nC₄、(C₁+iC₄+C₂^-)/(C₂+C₃+nC₄)及C₂^-/C₃^-比值呈正相关,与C₂₊/∑C比值呈负相关等可为寻找铀矿提供依据。3...     

华南与花岗岩有关的一种新类型的锡成矿作用：矿物化学、元素和同位素地球化学证据

华南是我国最重要的锡成矿省,产有大量的与花岗岩有关的大型-超大型锡多金属矿床。近年来,在湘南新探明一个超大型锡矿床-芙蓉锡矿床,其中,最重要的锡矿化产在骑田岭花岗岩体西南部的破碎蚀变带内,与绿泥石化密切相关。骑田岭花岗岩富含角闪石,具有较高的氧逸度,显示出准铝的地球化学特征,在花岗岩形成过程中发生过壳-幔岩浆混舍作用。这些特点都表明骑田岭花岗岩并不同于一般的S型含锡花岗岩,而显示出A型花岗岩的地球化学特征。同位素定年分析表明,芙蓉锡矿床主成矿阶段的形成时代要晚于骑田岭花岗岩侵位年龄近20Ma。氢、氧同位素分析表明,发生过水-岩反应的大气降水在成矿流体中占有很重要的地位。硫同位素分析表明花岗岩和地层都提供了成矿所需的硫。因此,用花岗岩浆结晶分异过程中分离出富锡的岩浆流体来形成锡矿的传统模式并不适合于解释芙蓉锡矿的形成。我们认为芙蓉锡矿的形成主要与骑田岭花岗岩的绿泥石化蚀变有关,循环的大气降水与花岗岩发生水-岩反应,富锡的铁镁矿物在蚀变成绿泥石的同时释放出Sn和Ti等金属到流体中,当物理化学条件改变时,沉淀形成锡矿体。这是一种比较独特的锡矿化模式,丰富了华南与花岗岩有关的锡矿化类型。     

华南造山带下寒武统和中奥陶统发现放射虫

在华南造山带江西萍乡下寒武统牛角河组泥质板岩和湖南永州中奥陶统烟溪组硅质岩中首次发现放射虫。放射虫的发现表明萍乡—永州一带寒武纪—中奥陶世存在相当规模的处于低纬度的海盆。     

马氏珠母贝激光育苗的生物学机理

对马氏珠母贝激光育苗的机理进行研究，结果表明：激光能加强精子活力，提高精液品质；影响卵子的通透性；抑制水中的细菌生长，使受精卵发育成健壮的胚胎、幼虫、幼苗。     

江西省峡江铀矿床两期印支期花岗岩的年代学、岩石地球化学和岩石成因——对华南印支期构造背景和产铀花岗岩成因的指示

位于江西省的峡江铀矿床为华南一个典型的花岗岩型铀矿床,铀矿体产在金滩花岗岩体中。野外地质调查和锆石U-Pb同位素定年工作表明金滩花岗岩体主要由两期的印支期花岗岩组成,其中含矿的等粒状二云母花岗岩形成于239±1Ma,而主体的斑状黑云母花岗岩则形成于226±2Ma。二云母花岗岩具有较高的SiO₂含量（74.09%~74.53%）和明显低的TiO₂、CaO和MgO含量,铝饱和指数为1.20~1.46,含有白云母和石榴子石等过铝质矿物,属于典型的强过铝S型花岗岩。斑状黑云母花岗岩的地球化学特征略微不同于二云母花岗岩,相对富集高场强元素和稀土元素,具有明显更低的Rb/Sr比值以及更小的Eu负异常,铝饱和指数变化为1.05~1.13,属于弱过铝到强过铝花岗岩。同位素组成上,两者都具有较低的ε_Nd（t）值（二云母花岗岩：-9.0~-8.8;斑状黑云母二长花岗岩：-9.8~-9.4）和古元古代的模式年龄（二云母花岗岩：1.73~1.75Ga;斑状黑云母二长花岗岩：1.77~1.80Ga）。地球化学和同位素特征表明金滩岩体中的这两期印支期花岗岩应该都为S型花岗岩。较高的Rb/Sr比值和较低的CaO/Na₂O比值表明二云母花岗岩主要由富粘土的泥质沉积岩部分熔融而来,而斑状黑云母二长花岗岩则主要由贫粘土的碎屑沉积岩部分熔融而来。金滩岩体中的两期印支期花岗岩分别对应于华南印支期同碰撞挤压和碰撞后伸展期的岩浆作用。二云母花岗岩含有更高的U含量,矿物学以及地球化学特征与华南其他的典型产铀花岗岩类似。对比研究表明,华南印支期产铀花岗岩的形成应与同碰撞期挤压背景下的泥质沉积岩的部分熔融有关。     

Dynamics and responses of vegetation to climatic variations in Ziya-Daqing basins,China

Examining the direct and indirect effects of climatic factors on vegetation growth is critical to understand the complex linkage between climate change and vegetation dynamics. Based on the Moderate Resolution Imaging Spectroradiometer(MODIS) Normalized Difference Vegetation Index(NDVI) data and meteorological data(temperature and precipitation) from 2001 to 2012, the trend of vegetation dynamics were examined in the Ziya-Daqing basins, China. The path analysis was used to obtain the information on the relationships among climatic factors and their effects on vegetation growth. It was found that the trends of growing season NDVI were insignificant in most plain dry land, while the upward trends were significant in forest, grass and dry land in Taihang Mountains. According to the path analysis, in 23% of the basins the inter-annual NDVI variation was dominated by the direct effect of precipitation, in 5% by the direct effects of precipitation and temperature, and in less than 1% by the direct effect of temperature or indirect effects of these two climatic factors. It indicated that precipitation significantly affected the vegetation growth in the whole basins, and this effect was not regulated by temperature. Precipitation increase(especially in July, August and September) was favorable to greenness enhancement. Summer temperature rising showed negative effect on plant productivity enhancement, but temperature rise in April was beneficial for the vegetation growth. When April temperature increases by 1℃, the onset date of greenness for natural vegetation will be 2 days in advance. There was a lag-time effect of precipitation or temperature on monthly NDVI for all land use types except grass.     

VARIATIONAL ITERATION SOLVING METHOD FOR SEA-AIR OSCILLATOR MODEL OF INTERDECADAL CLIMATE FLUCTUATIONS

1IN T R O D U C T IO NInteractionsbetween the ocean and atmosphere con-tributeto climatefluctuationosver a broad spectrum oftime scales.Studiesof those interactionhsave farfo-cused on El Ni o-SouthernOscillation(ENSO)phe-nomenon thathas a period of3to4yea…     

Ecosystem health assessment of Honghu Lake Wetland of China using artificial neural network approach

Honghu Lake, located in the southeast of Hubei Province, China, has suffered a severe disturbance during the past few decades. To restore the ecosystem, the Honghu Lake Wetland Protection and Restoration Demonstration Project (HLWPRDP) has been implemented since 2004. A back propagation (BP) artificial neural network (ANN) approach was applied to evaluatinig the ecosystem health of the Honghu Lake wetland. And the effectiveness of the HLWPRDP was also assessed by comparing the ecosystem health before and after the project. Particularly, 12 ecosystem health indices were used as evaluation parameters to establish a set of three-layer BP ANNs. The output is one layer of ecosystem health index. After training and testing the BP ANNs, an optimal model of BP ANNs was selected to assess the ecosystem health of the Honghu Lake wetland. The result indicates that four stages can be identified based on the change of the ecosystem health from 1990 to 2008 and the ecosystem health index ranges from morbidity before the implementation of HLWPRDP (in 2002) to middle health after the implementation of the HLWPRDP (in 2005). It demonstrates that the HLWPRDP is effective and the BP ANN could be used as a tool for the assessment of ecosystem health.     

Singularly perturbed solution of coupled model in atmosphere-ocean for global climate

A box model of the interhemispheric thermohaline circulation （THC） in atmosphere-ocean for global climate is considered. By using the multi-scales method, the asymptotic solution of a simplified weakly nonlinear model is discussed. Firstly, by introducing first scale, the zeroth order approximate solution of the model is obtained. Secondly, by using the multi-scales, the first order approximate equation of the model is found. Finally, second order approximate equation is formed to eliminate the secular terms, and a uniformly valid asymptotic expansion of solution is decided. The multi-scales solving method is an analytic method which can be used to analyze operation sequentially. And then we can also study the diversified qualitative and quantitative behaviors for corresponding physical quantities. This paper aims at providing a valid method for solving a box model of the nonlinear equation.