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Reconsidering the Specialist-Generalist Paradigm in Niche Breadth Dynamics: Resource Gradient Selection by Canada Lynx and Bobcat

机译:重新考虑利基广度动力学中的专家-通用范式:加拿大山猫和山猫的资源梯度选择

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摘要

The long-standing view in ecology is that disparity in overall resource selection is the basis for identifying niche breadth patterns, with species having narrow selection being classified “specialists” and those with broader selection being “generalists”. The standard model of niche breadth characterizes generalists and specialists as having comparable levels of overall total resource exploitation, with specialists exploiting resources at a higher level of performance over a narrower range of conditions. This view has gone largely unchallenged. An alternate model predicts total resource use being lower for the specialized species with both peaking at a comparable level of performance over a particular resource gradient. To reconcile the niche breadth paradigm we contrasted both models by developing range-wide species distribution models for Canada lynx, Lynx canadensis, and bobcat, Lynx rufus. Using a suite of environmental factors to define each species’ niche, we determined that Canada lynx demonstrated higher total performance over a restricted set of variables, specifically those related to snow and altitude, while bobcat had higher total performance across most variables. Unlike predictions generated by the standard model, bobcat level of exploitation was not compromised by the trade-off with peak performance, and Canada lynx were not restricted to exploiting a narrower range of conditions. Instead, the emergent pattern was that specialist species have a higher total resource utilization and peak performance value within a smaller number of resources or environmental axes than generalists. Our results also indicate that relative differences in niche breadth are strongly dependent on the variable under consideration, implying that the appropriate model describing niche breadth dynamics between specialists and generalists may be more complex than either the traditional heuristic or our modified version. Our results demonstrate a need to re-evaluate traditional, but largely untested, assumptions regarding resource utilization in species with broad and narrow niches.
机译:生态学上的长期观点是,总体资源选择上的差异是确定利基宽度模式的基础,选择狭窄的物种被归为“专家”,选择广泛的物种被归为“普通”。利基广度的标准模型将通才和专家的特征归结为具有可比较的整体总资源开发水平,专家在较窄的条件范围内以较高的性能水平开发资源。这种观点在很大程度上没有受到挑战。替代模型预测,特定物种的总资源使用量较低,并且在特定资源梯度上,两者的性能均达到可比水平。为了调和利基广度范式,我们通过为加拿大山猫,山猫Canadensis和山猫,山猫rufus开发了范围广泛的物种分布模型,对比了这两种模型。通过使用一系列环境因素来定义每个物种的生态位,我们确定了加拿大山猫在一组受限变量(特别是与降雪和海拔高度相关的变量)上表现出更高的总体性能,而山猫在大多数变量上的总体性能更高。与标准模型所产生的预测不同,山猫的开采水平并没有因为要达到最佳性能而受到折衷的影响,加拿大山猫也不受限于利用较窄范围的条件。取而代之的是,出现的模式是,与通才相比,专业物种在更少的资源或环境轴上具有更高的总资源利用率和最高绩效值。我们的结果还表明,利基宽度的相对差异在很大程度上取决于所考虑的变量,这意味着描述专家和通才之间的利基宽度动态的适当模型可能比传统的启发式方法或我们的改进版本更为复杂。我们的结果表明,有必要重新评估传统的,但未经测试的假设,这些假设是关于利基广泛和狭窄物种的资源利用情况。

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