基于荧光原理的叶绿素a传感器校准方法研究

利用传感器对水体叶绿素a 浓度进行原位测量是获取实时、连续、长时间序列数据的重要手段。本文在对RBR 传感器和ECO（Environmental Characterization Optics）传感器进行原理分析和线性度、稳定性、重复性等基本性能测试的基础上，利用单一藻种培养液和2020年南海北部海域现场数据校准传感器，并对新的传感器校准系数进行验证。结果表明：两台传感器使用新系数比原出厂系数的叶绿素a 浓度测量准确度有明显提高。RBR 传感器现场数据校准系数的计算结果与叶绿素a 标准值误差最小，平均绝对误差从1.93 μg/L 减小到0.35 μg/L，平均相对误差从55.1%减小到10.9%；ECO 传感器藻液系数明显优于出厂系数和现场数据校准系数的计算结果，平均绝对误差从1.76 μg/L 减小到0.59 μg/L，平均相对误差从50.3%减小到15.1%。传感器测量准确度的提高，可为海洋环境监测、海洋生态灾害预警等工作获取真实可靠数据提供支撑。     

Comparison of ecophysiological characteristics between introduced and indigenous mangrove species in China

Due to its rapid growth, the introduced mangrove species Sonneratia apetala from Bangladesh has been widely used in mangrove restoration in southeastern China since 1985. As an indigenous mangrove species in Hainan, China, Sonneratia caseolaris was also planted in Guangdong Province for afforestation purposes. Both species have developed well in their new habitats, but their ecophysiological differences with the native mangrove species have not been studied. In this study, leaf gas exchange, water and nitrogen use efficiencies of two Sonneratia species were compared with those of selected native mangrove species (Avicennia marina, Aegiceras corniculatum, Kandelia candel, and Excoecaria agallocha) in Hainan and Shenzhen. The introduced S. apetala maintained lower carbon assimilation rate (A) and photosynthetic nitrogen use efficiency (PNUE) than the indigenous S. caseolaris. In Shenzhen, the two introduced Sonneratia had comparable photosynthetic rates and water use efficiency (WUE) with the native mangrove species, except that PNUE in S. caseolaris was significantly higher than in the native mangrove species. The two Sonneratia species showed significant overlap in PNUE and long-term WUE. Photosynthetic parameters derived from leaf photosynthetic light–response curves and A–C_i curves also suggested lower carbon assimilation capacities for the introduced Sonneratia than for the native mangrove species in both study sites. The lower light compensation point (LCP) of two introduced Sonneratia in both study sites also indicated a better adaptation to a low light regime than the native mangrove species. The results of photosynthetic capacities indicated that the introduced mangrove species have little competitive advantage over local native mangrove species in their respective new habitats.     

基于幂函数法则对放牧梯度上种群空间异质性的定量分析

 在呼伦贝尔草原的克氏针茅群落选择轻牧、中牧、重牧3个不同的放牧梯度,沿着50 m样线设置100个50 cm×50 cm的L型样方,每个L型样方内划分4个25 cm×25 cm的S型样方,以物种出现的频度（p）作为植被空间分布的观测指标,采用幂函数法则对放牧梯度上草原植物群落物种的空间异质性进行了定量研究。结果表明,在不同放牧强度下,种类结构发生明显改变,轻度放牧区羊草和星状刺骨藜、中度放牧区藜和糙隐子草、重度放牧区猪毛菜和多根葱具有高的出现频度,群落物种数随着放牧压力的增大而减小。整体来看,放牧梯度上物种的空间分布呈现明显的聚集分布,物种空间异质性（δi）随着放牧强度的增大而增加,拟合于幂函数规律曲线;群落的空间异质性（δc）随着轻牧-中牧-重牧放牧演替的进展呈现降低趋势,种群个体分布呈现片断化特征。在群落内部各个种群具有不同的异质化分布特点,物种结构主要表现出密集型种群和疏散型种群两大类型。这些趋势与种群的繁殖策略、生活史对策、群落的再生产策略等生理与生态特性密切相关。     

中国野鲮亚科鱼类一新属新种记述

描记采于贵州省茂兰自然保护区境内一洞穴的中国野鲮亚科（Labeoninae）一新属长臀鲮属Longanalus．sp nov和一个新种大鳍长臀鲮Longanalus macrochirous sp nov。新属以臀鳍分枝鳍条为7根等特征．区别于该亚科所有属；新种以偶鳍发达．胸鳍后伸达到腹鳍基，腹鳍后伸超过臀鳍起点等显著特征命名大鳍长臀鲮。     

甘肃敦煌西湖荒漠湿地植物群落物种多样性特征研究

 基于375个样方和150条样线的调查,对甘肃敦煌西湖荒漠-湿地生态系统植物群落物种多样性进行了研究。结果表明:①区内共记录植物26种,分属16科24属,芦苇（Phragmites australis）、多枝柽柳（Tamarix ramosissima）和胡杨（Populus euphratica）为绝对优势种,苏枸杞（Lycium ruthenicum）、疏叶骆驼刺（Alhagi sparsifolia）和胀果甘草（Glycyrrhiza inflata）为主要伴生种,其平均重要值依次为0.4728、0.4563、0.4342、0.2908、0.2594和0.2455。植物群落分多枝柽柳群落、胡杨群落、胀果甘草群落、疏叶骆驼刺群落、多枝柽柳沙包群落、苏枸杞群落、芦苇沼泽群落和芦苇群落8个类型。②植物群落物种多样性指数偏低（0.784～1.379）,多枝柽柳群落、胡杨群落和芦苇群落物种多样性指数最大（1.379、1.266和1.194）,群落之间差异显著（P＜0.05）;疏叶骆驼刺群落和苏枸杞群落次之（1.154、1.077）,胀果甘草群落、芦苇沼泽和多枝柽柳沙包群落最低（0.919、0.881、0.784）,各群落之间不存在显著差异。③灌（乔）木层是敦煌西湖植被主要层次,灌（乔）木层物种多样性指数（0.549～1.077）大于草本层（0.052～1.038）。④物种多样性指标H′、D、J和Ma随海拔梯度增加基本均显下降趋势,而指数C变化趋势则相反,表现为上升,均匀度指数变化幅度不显著。⑤物种多样性指标H′、D、J和Ma随经纬度升高变化趋势基本一致,均表现为先下降,后上升,再下降,而优势度指数C变化趋势则相反。     

紫色土经济林栽培技术

为了合理开发利用紫色土 ,保护生态环境 ,为紫色土经济林栽培提供实践指导 ,对紫色土经济林栽培技术进行了研究 测定了全垦、带垦、水平梯土、水平梯土撩壕、鱼鳞坑等 5种整地方法的土壤以及对照地 (不整地 )的土壤侵蚀量 ,观测了各种整地方法对经济林木生长发育的影响 ,同时 ,对栽植在紫色土和板页岩红壤上的经济林木的生长发育情况进行了对比 结果表明 :不同整地方法土壤侵蚀量按从大到小的顺序排列为全垦 (81 4t·hm-2a-1,以下单位均为t·h-2 a-1) >带垦 (63 6) >水平梯土 (3 8 7) >水平梯土撩壕 (3 1 8) >鱼鳞坑 (2 4 3 ) >对照(2 1 1) ;不同整地方法对经济林木生长发育的影响按由好到差的顺序排列为水平梯土撩壕、水平梯土、全垦、带垦、鱼鳞坑、对照 ;在一般抚育管理条件下 ,在紫色土坡地生长发育较好的树种或品种有板栗、枣树、杨梅、枇杷、萘李、甜柿、水蜜桃 ,生长发育一般的树种有茶树、无核蜜柑、柚子 ,生长发育较差的树种有脐橙、柑、葡萄 因此 ,在坡度不大 (<2 5°)的紫色土坡地营造经济林时 ,整地方法采用水平梯土撩壕为宜 ,栽培树种可选择板栗、枣树、杨梅、枇杷、萘李、甜柿、水蜜桃 ,还可选择无核蜜柑、茶树、柚子等     

天然固定沙地与人工固沙植被区土壤种子库的比较研究

土壤种子库是退化生态系统植被恢复重建的重要基础,研究土壤种子库特征对于阐明退化生态系统受损与恢复机理具有重要的科学意义。通过野外土样采集、野外种子萌发定位跟踪调查和室内周期性种子萌发实验,对腾格里沙漠东南缘人工固沙植被区和天然固定沙地的土壤种子库特征进行了对比研究。结果表明：人工固沙植被区土壤种子库包含21个物种,分属于8科;天然固定沙地土壤种子库有33种植物,属于11科。人工固沙植被区以一年生植物为主,天然固定沙地以多年生植物为主。人工固沙植被区的种子总密度明显低于天然固定沙地,但不同物种种子的密度变化存在显著差异。人工固沙植被区的物种丰富度和多样性指数均较天然固定沙地低。人工固沙植被区和天然固定沙地的土壤种子库与地上植被物种的相似性系数分别为0.73和0.71。尽管人工固沙植被区土壤种子库存在少量多年生植物种子,但仍未发展到以多年生草本植物为主的群落演替阶段,说明人工固沙植被区的植物多样性恢复尚需要漫长的过程。     

Three-dimensional trees for virtual globes

One of the problems in virtual globes technologies is the real-time representation of vegetal species. In forest or garden representations, the low detailed plants produce a lack of realism. Efficient techniques are required to achieve accurate interactive visualisation due to the great number of polygons the vegetal species have. This article presents a multi-resolution model based on a geometric representation of vegetal species that allows the application to perform the progressive transmission of the model, that is, the transmission of a simple representation followed by successive refinements of it. It has a hardware-oriented design in order to obtain interactive frame rates. The geometric data of the objects are stored in the graphics processing unit and, moreover, the change from one approximation to another is obtained by performing mathematical calculations in this graphics hardware. The multi-resolution model presented here enables instancing: as many vegetal species as desired can be rendered with different levels of detail, while all of them are accessing the same geometric data. This model has been used to build a real-time representation of a not imaginary scenario.     

Imaging spectroscopy in soil-water based site suitability assessment for artificial regeneration to Scots pine

In a humid northern boreal climate, the success rate of artificial regeneration to Scots pine (Pinus sylvestris L.) can be improved by including a soil water content (SWC) based assessment of site suitability in the reforestation planning process. This paper introduces an application of airborne visible-near-infrared imaging spectroscopic data to identify suitable subregions of forest compartments for the low SWC-tolerant Scots pine. The spatial patterns of understorey plant species communities, recorded by the AISA (Airborne Imaging Spectrometer for Applications) sensor, were demonstrated to be dependant on the underlying SWC. According to the nonmetric multidimensional scaling and correlation results twelve understorey species were found to be most abundant on sites with high soil SWCs. The abundance of bare soil, rocks and abundance of more than ten species indicated low soil SWCs. The spatial patterns of understorey are attributed to time-stability of the underlying SWC patterns. A supervised artificial neural network (radial basis functional link network, probabilistic neural network) approach was taken to classify AISA imaging spectrometer data with dielectric (as a measure volumetric SWC) ground referencing into regimes suitable and unsuitable for Scots pine. The accuracy assessment with receiver operating characteristics curves demonstrated a maximum of 74.1% area under the curve values which indicated moderate success of the NN modelling. The results signified the importance of the training set’s quality, adequate quantity (>2.43 points/ha) and NN algorithm selection over the NN algorithm training parameter optimization to perfection. This methodology for the analysis of site suitability of Scots pine can be recommended, especially when artificial regeneration of former mixed wood Norway spruce (Picea abies L. Karst) - downy birch (Betula pubenscens Ehrh.) stands is being considered, so that artificially regenerated areas to Scots pine can be optimized for forestry purposes.     

滇西北亚高山针叶林、硬叶栎类林的树种多样性

在滇西北香格里拉地区,以长苞冷杉(Abiesgeorgei)林、丽江云杉(Picealikiangensis)林作为亚高山针叶林的代表,以川滇高山栎(Quercusaquifolioides)林作为硬叶栎类林的代表,分别选择了6块样地,采用Shannon-Wiener多样性指数(H)、Simpson多样性指数的倒数(D')、Pielou均匀度指数(JH、JD)分别测定其树种多样性,并进行了比较研究。结果表明,三个森林类型的Shannon Wiener指数、Simpson指数的倒数、物种丰富度的顺序均为:长苞冷杉林>川滇高山栎林>丽江云杉林;而前两类森林的Pielou均匀度指数差异不大,但都高于丽江云杉林的均匀度指数值。滇西北的川滇高山栎具有很强的萌生能力。人工种植的亚高山针叶林的树种多样性较原始林低,需要较长时间的恢复过程。亚高山针叶林的存在极大地丰富了云南省的树种多样性,使云南植被的垂直地带性得到了充分体现。