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Understanding the geographic distribution of species: An evaluation of different methods for modeling species distributions and a test of the niche characteristics hypotheses.

机译:了解物种的地理分布:评估建立物种分布的各种方法的评估以及对生态位特征假设的检验。

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摘要

Achieving a better understanding of factors that limit the geographic distribution of species is a key objective in different disciplines. Environmental variables (EV; e.g., temperature) are frequently used to help describe distributions of species because survival and reproduction can occur only within a certain range of EV. Thus, EV are used to predict the potential distribution of species through the use of species distribution modeling (SDM) methods and to test mechanisms that underlay variation in range sizes of different species. This study evaluated the accuracy of seven different SDM methods (Bioclim, CART, DOMAIN, GLM, GARP, MARS and MaxEnt) in predicting the geographic distribution of birds and Bursera trees in Mexico. In addition, this study tested the hypothesis that niche characteristics (niche breadth and niche position) explain inter-specific variation in species' range sizes for Bursera trees. SDM performance was evaluated as a function of the (1) type of EV included in the model; (2) the species taxonomic group and their range size; and, (3) local abundance and environmental variation. Significant differences were found among models with MaxEnt, DOMAIN, MARS performing significantly better than Bioclim, GARP, GLM, and CART, but performance was influenced by range size, taxonomic group, abundance, environmental variation, and environmental variable type. All models performed less well for widely distributed species, but some, like DOMAIN, were particularly challenged relative by species that occur over broad geographic areas. Birds were harder to model accurately when compared to trees, and direct variables were significantly more predictive of species' ranges than indirect variables, especially for plants. Using a combination of direct and indirect variables did not increase model performance, and in fact, lowered average performance for trees, although not significantly so. Models based on narrowly restricted and common species had lower performance than models based on narrowly restricted and uncommon species. Finally, the niche breadth hypothesis, which suggests a positive relationship between niche breadth and range size, was strongly supported. Thus, Bursera tree species that have broad environmental tolerances and that are able to utilize a wide range of resources are also widely distributed.
机译:更好地了解限制物种地理分布的因素是不同学科的主要目标。环境变量(EV;例如温度)经常用于帮助描述物种的分布,因为生存和繁殖只能在EV的特定范围内发生。因此,EV用于通过使用物种分布建模(SDM)方法来预测物种的潜在分布,并测试支持不同物种范围大小变化的机制。这项研究评估了七种不同的SDM方法(Bioclim,CART,DOMAIN,GLM,GARP,MARS和MaxEnt)在预测墨西哥鸟类和Bursera树的地理分布中的准确性。此外,本研究还验证了生态位特征(生态位宽度和生态位位置)解释Bursera树种范围大小的种间变异的假说。根据模型中包括的(1)EV类型评估SDM性能; (2)物种分类群及其范围大小; (3)局部丰度和环境变化。在MaxEnt,DOMAIN,MARS的模型之间表现出明显优于Bioclim,GARP,GLM和CART的模型之间存在显着差异,但是性能受到范围大小,分类组,丰度,环境变化和环境变量类型的影响。对于分布广泛的物种,所有模型的表现均较差,但某些模型(如DOMAIN)相对受到地理范围广泛的物种的挑战尤其严重。与树木相比,鸟类更难准确建模,直接变量比间接变量对物种范围的预测性更好,尤其是对于植物。使用直接变量和间接变量的组合并不会提高模型性能,事实上,降低了树木的平均性能,尽管并不是很明显。基于狭义限制和常见物种的模型的性能低于基于狭义限制和罕见物种的模型。最后,有力地支持了利基宽度假说,该假设表明利基宽度和范围大小之间存在正相关关系。因此,具有广泛的环境耐受性并且能够利用广泛资源的蒲桃属树种也广泛分布。

著录项

  • 作者

    Feria, Teresa Patricia.;

  • 作者单位

    University of Missouri - Saint Louis.;

  • 授予单位 University of Missouri - Saint Louis.;
  • 学科 Biology Ecology.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 123 p.
  • 总页数 123
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生态学(生物生态学);
  • 关键词

  • 入库时间 2022-08-17 11:39:37

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