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Pygmy sperm whale (Kogia breviceps, De Blainville 1838) strandings along the Atlantic Coast of the southeastern United States: Analysis of association with environmental factors.

机译:侏儒抹香鲸(Kogia breviceps,De Blainville 1838)在美国东南部大西洋沿岸搁浅:与环境因素的关联分析。

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摘要

Marine mammal strandings have been reported for thousands of years and numerous hypotheses have been formulated in attempts to explain such events. Nonetheless, the causes of marine mammal strandings still are not well understood. The pygmy sperm whale (Kogia breviceps) is the second most commonly stranded cetacean on the southeastern coast of the United States, yet its biology is largely unknown. The present study examines stranding records along the Atlantic coast of the southern United States (from Cape Hatteras, NC to Miami, FL) from 1992 to 2006 in association with environmental factors. Strandings were mapped in a Geographical Information System (GIS) in connection with bathymetry and sea surface temperatures (SST) from satellite images. The images were processed to identify frontal zones as well as the position of the Gulf Stream. Monthly Multivariate El-Nino Southern Oscillation Index (MEI), North Atlantic Oscillation Index (NAO), and records from NOAA's National Data Buoy Center (wind speed and direction, wave height, average wave period, and barometric pressure) were also included in the analyses. The number of strandings per month was related to the environmental data using Generalized Linear Models (GLZ). The best GLZ models identified significant correlations with MEI, SST, wind speed, wave height, average wave period and barometric pressure. Although more work is needed to understand the distribution of pygmy sperm whales at sea and the factors influencing the occurrence of stranding events, this study is a step toward developing a model to predict pygmy sperm whale strandings.
机译:海洋哺乳动物搁浅已有数千年的报道,并提出了许多假说来解释这种事件。但是,海洋哺乳动物搁浅的原因仍然没有被很好地理解。侏儒抹香鲸(Kogia breviceps)是美国东南沿海第二大最常被困的鲸类,但其生物学却鲜为人知。本研究调查了1992年至2006年与环境因素相关的美国南部大西洋海岸(从北卡罗来纳州哈特拉斯角到佛罗里达州迈阿密)的搁浅记录。将线束与卫星图像的测深法和海表温度(SST)一起在地理信息系统(GIS)中进行绘制。对图像进行处理以识别正面区域以及墨西哥湾流的位置。月度多元El-Nino南方涛动指数(MEI),北大西洋涛动指数(NAO)以及NOAA国家数据浮标中心的记录(风速和方向,波浪高度,平均波浪周期和大气压力)也包括在其中。分析。使用广义线性模型(GLZ),每月的搁浅次数与环境数据相关。最佳的GLZ模型确定了与MEI,SST,风速,波浪高度,平均波浪周期和大气压力之间的显着相关性。尽管需要更多的工作来了解侏儒抹香鲸在海上的分布以及影响搁浅事件发生的因素,但这项研究是朝着建立一种预测侏儒抹香鲸搁浅的模型迈出的一步。

著录项

  • 作者

    Berini, Carole.;

  • 作者单位

    College of Charleston.;

  • 授予单位 College of Charleston.;
  • 学科 Biology Ecology.;Environmental Sciences.;Biology Zoology.;Biology Oceanography.
  • 学位 M.S.
  • 年度 2009
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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