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Application of a habitat model to define calving habitat of the North Atlantic right whale in the southeastern United States

机译:应用栖息地模型定义美国东南部北大西洋右鲸的产犊栖息地

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ABSTRACT: Spatially-explicit habitat models can impart a scientific basis for delineating critical habitats that relate species’ distributions to physical and biological conditions, even in marine environments with vague and dynamic boundaries. We developed a habitat model of the relationship between the winter distribution of North Atlantic right whales Eubalaena glacialis, one of the most endangered large whales in the world, and environmental characteristics in its only identified calving ground, the waters off Florida and Georgia. Our objective was to provide a scientific basis for revising critical habitat boundaries in the southeastern USA (SEUS) and to predict potential habitat in the mid-Atlantic region north of the study area through a better understanding of the relationship of observed right whale distribution to environmental conditions. A long-term data set of right whale sightings from aerial surveys within the SEUS (conducted seasonally, December through March, from 1992/1993 to 2000/2001) was used in a generalized additive model to evaluate right whale distribution in relation to sea surface temperature, bathymetry, wind data, and several spatial variables. Model results indicated that sea surface temperature and water depth were significant predictors of calving right whale spatial distribution. The habitat relationships were unimodal, with peak sighting rates occurring at water temperatures of 13 to 15°C and water depths of 10 to 20 m. Model results indicated areas of potentially important calving habitat outside currently defined critical habitat. Our semi-monthly predicted distributions, based on model results, provide managers with a range of scientifically based choices for revising critical habitat boundaries to achieve the desired level of protection. Predictions extrapolated through the mid-Atlantic suggested appropriate habitat features north of the study site, although analysis of data from more recent surveys in this region would be required to validate model results.
机译:摘要:空间明确的栖息地模型可以为描述关键的栖息地提供科学依据,这些栖息地将物种的分布与物理和生物条件相关联,即使在具有模糊和动态边界的海洋环境中也是如此。我们开发了一种栖息地模型,该模型描述了北大西洋右鲸 Eubalaena glacialis 的冬季分布(世界上最濒危的大鲸鱼之一)与唯一识别的产犊场,水域之间的环境特征之间的关系。在佛罗里达州和佐治亚州。我们的目标是通过更好地了解观察到的右鲸分布与环境之间的关系,为修改美国东南部(SEUS)的重要栖息地边界提供科学依据,并预测研究区域以北大西洋中部地区的潜在栖息地。条件。在SEUS内进行的一次航海观测(从1992/1993年至12月至3月的季节性季节,从1992/1993年至2000/2001年进行)的长期鲸鱼目击的长期数据集,被用于广义附加模型中,以评估与海面有关的鲸鱼分布。温度,测深,风数据和几个空间变量。模型结果表明,海表温度和水深是产犊右鲸空间分布的重要预测指标。生境关系是单峰的,在水温13至15°C和水深10至20 m时出现峰值观测率。模型结果显示了当前定义的关键栖息地以外潜在重要的产犊栖息地区域。我们基于模型结果的半月预测分布为管理人员提供了一系列基于科学的选择,以修改重要的栖息地边界,以实现所需的保护水平。通过大西洋中部推断的预测表明,研究地点以北具有适当的生境特征,尽管需要对来自该地区最近调查的数据进行分析以验证模型结果。

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