北极新奥尔松Austre Lovénbreen冰川退缩迹地不同演替阶段的植物组成与植被群落特征分析          下载免费PDF全文

姚轶锋  曹叔楠  彭方  李承森 《极地研究》2014,26(3):362-368

为开展新奥尔松地区苔原植物生长和植被演替对冰川退缩响应的研究,在Austre Lovénbreen冰川(简称A冰川)前沿不同年代冰缘线附近布设了植被样方,调查了样方内植物组成与群落结构。结果表明:(1)A冰川1990年冰缘线代表植被演替的初始阶段,样方内仅出现先锋植物挪威虎耳草(Saxifraga oppositifolia);(2)1936年冰缘线代表冰川退缩长达75年后植被发育的情况,样方内植物种类和个体数明显增多,植被群落以木本植物极柳(Salix polaris)和草本植物黄葶苈(Draba bellii)为主,地衣以寒生肉疣衣(Ochrolechia frigida)和鸡皮衣(Pertusaria sp.)等壳状地衣为主;(3)随着冰川迹地形成时间更长,植被趋向成熟阶段发展,样方内极柳占绝对优势,地衣的物种多样性和盖度显著增加,出现雪黄岛衣(Flavocetraria nivalis)和刺岛衣(Cetraria aculeata)等叶状地衣。初步结果表明冰川退缩迹地上的物种更替明显,群落结构发生着显著变化。  相似文献   

绥中一次暴雪伴雷电天气过程的成因分析     

孟振雄  于亚薇  唐帅 《内蒙古气象》2014,(1):7-11

为了探讨绥中一次暴雪伴雷电天气过程的成因,利用常规观测资料、NCEP每6h间隔的1°×1°的再分析资料和营口多普勒雷达的资料,分析此过程的天气形势特点、高低空急流的作用、雷达回波的特征及反映动力、热力和水汽条件的相关物理量场的特征。结果发现:雷电发生在对流层中层的西南风急流和底层偏东风均处在最强的时刻,当对流云团发展到-20℃温度层时,温差起电产生雷电;雷电发生在低层850hPa附近存在的逆温层消失之后,同时配合低层水汽的辐合,产生了暴雪天气;雷电和强降雪发生在大气底层南风和北风转换的过程中,强降雪的时间与冷空气扩散加强的时间比较一致,当冷空气扩散到整个大气底层时强降雪结束;引起雷电和强降雪的对流不稳定层结主要处在对流层中层,并为上升运动的发生提供了动力和热力条件,促使雷电发生和强降雪的维持。  相似文献   

汕尾浮标站的风况特征分析     

孙喜艳  程正泉  李楚燕 《广东气象》2014,36(6):6-10

利用广东省汕尾红海湾大型浮标站的近4年观测资料,统计分析汕尾红海湾近海海面风的日变化特征、季节变化特征和大风特点.分析表明：红海湾近海海面秋、冬风速大,夏季风速小,风向以东北风为主;平均情况下中午前后风速较小,早晚较大,风向以东北风为主;冷空气和热带气旋是造成红海湾近海大风的主要天气系统;大风平均阵风系数较小,最大阵风系数在热带气旋影响下出现.  相似文献   

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������  ������  �ŷ� 《大地测量与地球动力学》2014,34(6):37-40

???1999??2012???????????????????????????????λ????????????????????????λ??????GPS??????????????????????仯?????????о?????????????λ??GPS????????仯??????????????????仯?????????????????????????????????????λ????????GPS?????????С????ζ??????????????????????λ???????GPS?????????????ζ??????3??????????λ?仯????GPS????????????????г????????  相似文献   

南海大眼金枪鱼和黄鳍金枪鱼生物学特性及其分布   总被引：1，自引：0，他引：1  

冯波  李忠炉  侯刚 《海洋与湖沼》2014,45(4):886-894

利用2010年3月—2013年2月南海金枪鱼延绳钓探捕与渔业生产监测取得的生物学数据和生产数据,对南海的大眼金枪鱼(Thunnus obesus)和黄鳍金枪鱼(Thunnus albacres)的生物学特性和渔场分布进行了研究。结果表明:(1)南海大眼金枪鱼叉长范围50—169cm,平均为111.8cm,体重范围2.45—87kg,平均为33.2kg,叉长(FL)体重(W)关系:W=1.74×10–5FL3.01,性腺成熟度Ⅱ期居多,占总尾数的45.27%。绝对怀卵量109.46—456.95万粒,摄食强度以0—2级为主。大眼金枪鱼延绳钓渔场春夏季分布于南沙西北部和南沙中西部海域;秋冬季分布于西、中沙和南沙西北部海域。渔获水深90%集中在150—400m。(2)南海黄鳍金枪鱼叉长范围41—180cm,平均为107.9cm,体重范围1.2—77.5kg,平均为27.9kg,叉长体重关系:W=2.19×10–5FL2.94,性腺成熟度以Ⅱ—Ⅳ期居多,占总尾数的89.01%,绝对怀卵量15—154万粒,摄食强度以1—2级为主。黄鳍金枪鱼延绳钓渔场春夏季分布于南沙西北部和南沙中西部海域;秋冬季分布于西、中沙、南沙西北部、南沙中西部海域。渔获水深93.75%集中在50—350m。西沙西部和南沙西北部海域是灯光围网和灯光罩网捕捞金枪鱼的重要渔场。研究认为:(1)在南海可发展小型冷海水延绳钓船,在每年10月末—次年5月初在西沙东北海域开展浅水延绳钓作业;(2)在南海的岛礁附近设置PAYAO群,开展金枪鱼灯光罩网或围网捕捞。(3)目前取得的资料仍然有限,未来仍需进一步调查,以掌握南海金枪鱼种群动态,为渔业开发和养护提供建议。  相似文献   

长江口及其邻近陆架区夏季网采浮游植物及其影响因素   总被引：3，自引：1，他引：2  

江志兵  曾江宁  李宏亮  周锋  陈全震  朱根海  张东声  严小军 《海洋学报》2014,36(6):112-123

2009年6、8月长江口及其邻近陆架区的网采样品中检出浮游植物9门395种(含223种硅藻与125种甲藻)。浮游植物丰度8月(3 077.15×104 cells/m3)显著高于6月(107.80×104 cells/m3)。随长江冲淡水势力增强,位于长江口的丰度高值区8月较6月更偏外侧。种类丰富度8月高于6月,但多样性和均匀度指数略低于6月。6月尖刺伪菱形藻和三角角藻占绝对优势,8月优势种主要有尖刺伪菱形藻、笔尖形根管藻和铁氏束毛藻。骨条藻虽非优势种,但在长江冲淡水区丰度较高。相似性分析和多维尺度分析表明,浮游植物群落组成时空差异显著。典范对应分析表明,温度和盐度是分别影响6、8月群落分布的首要因子。根据水动力和化学参数,该区浮游植物群落分布与环流变化和水团消长密切相关。  相似文献   

南黄海沿岸滩涂文蛤中痕量硒的周年变化探讨     

凌云  万夕和  王李宝  黎慧  沈辉  陈玉生 《海洋科学》2014,38(1):39-43

采用4︰1混合酸湿法消解,氢化物发生原子荧光光谱法(HG-AFS)测定了南黄海沿岸滩涂文蛤生物体中微量元素硒的周年变化,并用质控样和加标回收保证结果的可靠性。结果显示:硒的周年含量为0.2~0.5 mg/kg,平均值为0.330 mg/kg,文蛤体内硒的含量呈一定规律性变化,春、秋季高,夏、冬季低。说明文蛤中硒含量因不同季节而具有明显差异,其含量变化与海水温度、饵料生物及文蛤生长繁殖等因素有关。  相似文献   

Weather extremes and street life in India—Implications of Fuzzy Cognitive Mapping as a new tool for semi-quantitative impact assessment and ranking of adaptation measures     

《Global Environmental Change》2014

The potential impacts of progressing climate change are alarming. Some adverse consequences are now unavoidable and adaptation measures are increasingly needful. This poses enormous challenges for emerging megacities in the Global South, which barely manage in current weather conditions. This paper introduces Fuzzy Cognitive Mapping as a new tool for structured, semi-quantitative assessments of climate change impacts and adaptation measures.Fuzzy Cognitive Mapping is used to evaluate differences in sensitivities to heatwaves and rainstorms across socio-economic groups and for the ranking of useful adaptation options, based on 188 individual interviews to the impacts of extreme weather events in Hyderabad, India. The results of this multi-stakeholder assessment indicate that rainstorms affect low-income residents more than heatwaves, while the opposite is true for medium-income respondents. The latter are also less seriously affected by extreme weather in general. Profession, though, not income determines the kind of impact that people feel most affected by. Individual characteristics like age and gender do not significantly explain differences in the data, but religion does. This is because, in Hyderabad, Muslims live in the older, less serviced and more affected parts of the city. However, semi-quantitative scenario analyses suggest that, under future climate change, many parts of the city will become increasingly exposed to the effects of extreme weather. Planned investments in urban infrastructure will be seriously challenged by climate change and preventive adaptation measures are urgently needed to at least maintain the current level of quality of life. Investments in the health infrastructure appear to be most effective in reducing the impact of heatwaves and investments in the traffic infrastructure most effective in reducing the impact of rainstorms. However, looking at heat and rain events together—which is realistic as they are both projected to increase and often occur in the same year—reveals that investments in water infrastructure and management have greatest potential to reduce impacts across all localities and on all social groups, particularly the lower-income classes. This is because first-order impacts caused by inadequate water infrastructure often give rise to second- or third-order impacts. Addressing the root cause is the most effective way to break cause-and-effect chains and prevent proliferation of negative consequences. Similar studies are suggested in other cities in order to support adaptation mainstreaming in complex urban environments. Fuzzy Cognitive Mapping proved a useful, semi-quantitative tool for climate change impact and adaptation assessments.  相似文献   

基于伪语义相似度模型的中文地址匹配方法     

郁汀  王铎  陈钦 《测绘通报》2022,(3):101-106

地址匹配中,由于传统相似度模型受字符重叠数影响大,在处理简写、缩写地址要素单元时,错误匹配问题突出;深度学习方法需要大量样本支撑,但庞大的数据量和多样的形式,导致生成样本的成本过高。为解决上述问题,本文首先应用基于条件随机场和双向长短时记忆神经网络的模型,对地址进行分词;然后通过建立一种伪语义相似度,对地址要素进行分级匹配。通过对公安业务中地址数据进行测试,在对缩写、简写等不规范地址描述方面,本文模型能较理想地完成任务,各参考指标均高于0.9。  相似文献