Ontogenic variation and effect of collection procedure on leaf biomechanical properties of Mediterranean seagrass Posidonia oceanica (L.) Delile

Leaf mechanical traits are important to understand how aquatic plants fracture and deform when subjected to abiotic (currents or waves) or biotic (herbivory attack) mechanical forces. The likely occurrence of variation during leaf ontogeny in these traits may thus have implications for hydrodynamic performance and vulnerability to herbivory damage, and may be associated with changes in morphologic and chemical traits. Seagrasses, marine flowering plants, consist of shoot bundles holding several leaves with different developmental stages, in which outer older leaves protect inner younger leaves. In this study we examined the long‐lived seagrass Posidonia oceanica to determine ontogenic variation in mechanical traits across leaf position within a shoot, representing different developmental stages. Moreover, we investigated whether or not the collection procedure (classical uprooted shoot versus non‐destructive shoot method: cutting the shoot without a portion of rhizome) and time span after collection influence mechanical measurements. Neither collection procedure nor time elapsed within 48 h of collection affected measurements of leaf biomechanical traits when seagrass shoots were kept moist in dark cool conditions. Ontogenic variation in mechanical traits in P. oceanica leaves over intermediate and adult developmental stages was observed: leaves weakened and lost stiffness with aging, while mid‐aged leaves (the longest and thickest ones) were able to withstand higher breaking forces. In addition, younger leaves had higher nitrogen content and lower fiber content than older leaves. The observed patterns may explain fine‐scale within‐shoot ecological processes of leaves at different developmental stages, such as leaf shedding and herbivory consumption in P. oceanica.     

基于SPOT6遥感影像的滩涂湿地入侵种互花米草植株高度的反演研究

本文以SPOT6 高空间分辨率遥感影像为数据源,通过植被覆盖度和地上生物量两个参数进行滩涂湿地入侵种互花米草植株高度的估算研究。结果表明,三沙湾滩涂湿地互花米草植株高度平均值为2.04 m,以1~2 m和2~3 m植株为主要分布高度,分布面积分别为6.83 km2和10.31 km2,占研究区互花米草总面积的33.83%和51.06%,小于1 m和大于3 m的互花米草仅占9.26%和5.84%。估算值与真实值之间的均方根误差为0.204,绝对误差为0.04~0.37 m。该方法是对高空间分辨率光学影像应用研究的重要尝试,其反演方法具有较好的可行性,可较为准确的获取滩涂湿地植株高度信息。     

台山核电邻近海域春秋季浮游植物群落结构特征

根据2013年4月(春季)和9月(秋季)2个航次调查数据,对台山核电邻近海域浮游植物种类组成、时空分布及多样性指数等群落特征进行了分析。共鉴定浮游植物3门61种,其中硅藻类48种,占78.69%;甲藻类11种,占18.03%;金藻类2种,占3.28%。种类组成以暖水种和广温种为主。浮游植物丰度均值春季(11.78×107个/m3)与秋季(29.37×107个/m3)无明显差异;然而丰度水平变化较大,整体表现为春秋两季核电站温排水口附近站位均低于远离站位。春秋两季浮游植物优势种共出现了7种,春季仅出现了中肋骨条藻Skeletonema costatum1种,优势度高达0.996;秋季出现了7种,包括中肋骨条藻(0.291)、柔弱拟菱形藻Pseudo-nitzschia delicatissima(0.222)、拟弯角毛藻Chaetoceros pseudocurvisetus(0.214)和并基角毛藻Chaetoceros decipiens(0.056)等。海域春季Shannon-Wiener多样性指数H′、Pielou均匀度指数J′和Margalef物种丰富度指数D均值分别为0.55、0.18和0.50;秋季分别为2.80、0.62和0.80。多样性指数显示台山核电附近海域水质状态受到了一定程度的污染。     

Effect of the Dry Ashing Method on Cadmium Isotope Measurements in Soil and Plant Samples

A dry ashing method is commonly used to remove organic material from samples prior to geochemical analysis. In the course of this study, the Cd isotope ratios of a series of soil and plant reference materials and samples were studied to evaluate the effect of the dry ashing method on measurement results of Cd isotope ratios. The samples were pre‐treated using the dry ashing method and high‐pressure bomb for comparison. The results show that the digestion using high‐pressure bombs did not lead to Cd loss, but using the dry ashing method would cause different proportions of Cd loss. The whole range of Cd isotope difference between two methods was from ?0.07‰ to 3.01‰. There was also an obvious difference in measured Cd isotope ratios from the same leaf sample pre‐treated independently by the dry ashing method, indicating that the amount of Cd loss and the effect on Cd isotope measurement during dry ashing is related to the properties of the samples. Therefore, dry ashing may not be appropriate for the removal of organic material in Cd isotope ratio measurement, especially for samples with high organic contents. The δ^114/110Cd values of reference materials NIST SRM 1573a and GSD‐30 are reported for the first time in this study.     

珠江口红树林湿地演变的遥感分析

广东拥有全国面积最大的红树林湿地。但近年来经济的快速发展使得该湿地系统发生了很大的变化。利用多时相的遥感图像和专家系统方法对珠江口红树林湿地的时空变化进行了分析。结合雷达遥感图像,对红树林群落分类及生物量估算进行了研究,改善了单独使用光学遥感的不足。获得了试验区红树林的变化趋势、类型分布及生物量等情况,为红树林湿地的生态保护提供了重要信息和新的监测手段。     

沉水植物黑藻对上覆水中各形态磷浓度的影响

室内模拟研究了沉水植物黑藻对上覆水中不同形态磷浓度的影响及其季节性变化,并从沉水植物生长、间隙水和碱性磷酸酶活性(APA)三方面进行了讨论,进一步揭示磷在浅水湖泊水-沉积物界面的交换机理。结果表明,在本研究条件下,上覆水中各形态磷以溶解性总磷(DTP)为主,其他形态磷浓度变异较大,黑藻降低了上覆水中总磷(TP)、溶解性活性磷(SRP)和DTP浓度,也降低了DTP和SRP占总磷的比例,从而使颗粒态总磷(PP)和溶解性有机磷(DOP)占总磷比例升高。黑藻主要通过吸收上覆水中的磷和抑止沉积物、上覆水中APA使上覆水中各形态磷浓度保持较低水平,其中对SRP和DTP浓度的影响更明显。上覆水中各形态磷浓度呈现明显的季节性变化。在7～8月,TP、SRP和DTP浓度呈下降趋势,并在8月达到最低值;9～10月间有所升高,但仍然维持在较低水平,不同采样时间存在波动。     

考虑土-结构相互作用和岩土参数不确定性的核电厂结构地震响应分析

针对核电厂结构,在考虑土-结构相互作用(SSI)的情况下进行随机地震反应分析,探讨地基岩土参数的不确定性对反应堆厂房楼层反应谱(FRS)的影响。运用ANSYS软件模块建立核电厂(NPP)结构有限元模型,通过设置边界弹簧单元和阻尼装置来考虑SSI效应;并且通过设置具有概率意义的弹簧刚度和阻尼系数,来模拟土特性参数的不确定性。随机响应分析与确定性分析的结果对比,揭示了岩性地基条件下SSI效应对核电厂FRS的影响以及地基岩土参数不确定性对FRS的影响程度。研究表明,在岩性地基条件下,亦不应忽略SSI效应;考虑SSI效应的随机分析模型同确定性模型相比,二者的分析结果较为接近,两方法都可用于NPP的FRS敏感性分析评估之中,并可进行相互比照。     

钱塘江河口风暴潮经验预报

钱塘江河口的风暴潮预报工作可归结为澉浦或乍浦两个单站的预报,这使得经验预报成为可能。利用一种动力线性模型将动力学的线性问题转化为统计学的线性回归模型,通过合理选取预报量及预报因子,并采用正交筛选技术确定每个预报因子所对应的系数,建立经验预报方程。后报结果表明该方法可取得较好的效果。     

荒漠草原植物群落光合速率对水氮添加的响应

氮沉降和降水格局改变对草原生态系统的结构、功能及关键过程具有重要影响。依托内蒙古乌拉特荒漠草原研究站的全球变化实验平台,研究了氮添加和增减雨（+50%、-50%）及其交互作用对荒漠草原植物群落光合速率和植被特征的影响,分析了荒漠草原植物群落光合速率与植被特征的关系。结果表明：（1）短期氮添加对荒漠草原植物群落光合速率和植被特征没有显著影响（P > 0.05）;（2）降水格局改变显著影响荒漠植物群落光合速率（P < 0.05）,减雨50%显著降低了荒漠草原植物群落光合速率和优势种植物高度（P < 0.05）,而降水增加50%没有改变群落光合速率和植被特征,降水改变下的土壤水分能很好地解释群落光合速率;（3）氮添加和增加降水的交互效应显著提高了群落的光合速率和优势种植物高度（P < 0.05）,而减少降水与氮添加没有显著影响;（4）荒漠草原植物群落盖度、优势种盖度、优势种平均高度与群落的光合速率呈现出指数增加关系,解释率为40%~58%。干旱极大地抑制荒漠草原植物群落光合速率,而氮沉降则依赖于降水增加来提高群落的光合速率,荒漠草原植物群落光合速率与水肥处理下的植物生长特征具有密切的关系。     

基于Sentinel-2的潮间红树林提取方法

位于潮间带的红树林可能在高潮时被海水淹没的特点,使得传统的植被提取方法在红树林信息提取方面存在局限性。本文在对比分析了出露的红树林、高潮水位淹没的红树林、海水水体的光谱特征后,提出了一种利用归一化潮间红树林指数（NIMI）提取潮间带红树林的方法。该指数是由植被强吸收的红波段,强反射的两个红边波段和近红外波段组成的归一化表达式。利用该指数对福建省龙海九龙江口湿地的红树林进行了分类提取,提取结果与高分二号影像目视验证和现场调查结果进行了对照。结果显示,该方法提取红树林的用户精度达到93.98%,并显著优于利用归一化水体指数（NDWI）、归一化植被指数（NDVI）及随机森林的结果。