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Influence of physico-chemical factors on the distribution and biomass of invasive mussels in the St. Lawrence River.

机译:理化因素对圣劳伦斯河入侵贻贝的分布和生物量的影响。

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摘要

Biological invasions threaten the stability and biodiversity of freshwater ecosystems worldwide. The impacts of an invading species often vary across systems, making their prediction difficult. When data from multiple invaded sites are available, statistical models can be developed to correlate an invader's distribution and abundance with local environmental variables; such models could then provide managers with useful tools to help prioritize efforts to control the invader. The introduction of the zebra mussel (Dreissena polymorpha) and quagga mussel (D. bugensis) to North America ranks among the most ecologically and economically disruptive aquatic invasions ever documented. While some attempts have been made to predict zebra mussel occurrence and abundance, none have been made for quagga mussels. Furthermore, few studies have been based on river systems, which possess the bulk of North American freshwater biodiversity. I related zebra and quagga mussel occurrence and biomass to physical habitat variables (calcium concentration, substrate size and depth) in the St. Lawrence River. I then developed predictive models of abundance for each species from combinations of these variables. Each variable explained a significant amount of variation in mussel biomass, but different combinations of variables were obtained for each species. Although these models do not account for all of the variation in abundance, they do provide a useful basis for predicting dreissenid distribution and abundance in other invaded river systems.
机译:生物入侵威胁着全世界淡水生态系统的稳定性和生物多样性。入侵物种的影响通常在整个系统中各不相同,因此很难对其进行预测。当有来自多个入侵地点的数据可用时,可以开发统计模型以将入侵者的分布和丰度与当地环境变量相关联;这样的模型可以为管理人员提供有用的工具,以帮助他们确定控制入侵者工作的优先级。斑马贻贝(Dreissena polymorpha)和斑马贻贝(D. bugensis)向北美的引进是有史以来对生态和经济造成破坏性最大的水生生物入侵之一。尽管已经进行了一些尝试来预测斑马贻贝的发生和丰度,但是却没有针对斑马贻贝进行任何尝试。此外,很少有基于河流系统的研究,河流系统拥有北美大部分淡水生物多样性。我将斑马和斑马贻贝的发生以及生物量与圣劳伦斯河的物理栖息地变量(钙浓度,底物大小和深度)相关。然后,我根据这些变量的组合,为每个物种建立了丰度预测模型。每个变量解释了贻贝生物量的显着变化,但是每种物种都获得了不同的变量组合。尽管这些模型并未考虑到丰度的所有变化,但它们确实为预测其他入侵河流系统中的梭藻分布和丰度提供了有用的基础。

著录项

  • 作者

    Jones, Lisa A.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Biology Ecology.;Agriculture Fisheries and Aquaculture.;Environmental Sciences.
  • 学位 M.Sc.
  • 年度 2005
  • 页码 61 p.
  • 总页数 61
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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