首页> 外文期刊>Environmental Biology of Fishes >Physiological ecology meets the ideal-free distribution: predicting the distribution of size-structured fish populations across temperature gradients
【24h】

Physiological ecology meets the ideal-free distribution: predicting the distribution of size-structured fish populations across temperature gradients

机译:生理生态满足无理想的分布:预测温度梯度下大小结构鱼种群的分布

获取原文
获取原文并翻译 | 示例
           

摘要

We describe a habitat selection model that predicts the distribution of size-structured groups of fish in a habitat where food availability and water temperature vary spatially. This model is formed by combining a physiological model of fish growth with the logic of ideal free distribution (IFD) theory. In this model we assume that individuals scramble compete for resources, that relative competitive abilities of fish vary with body size, and that individuals select patches that maximize their growth rate. This model overcomes limitations in currently existing physiological and IFD-based models of habitat selection. This is because existing physiological models do not take into account the fact that the amount of food consumed by a fish in patch will depend on the number of competitors there (something that IFD theory addresses), while traditional IFD models do not take into account the fact that fish are likely to choose patches based on potential growth rate rather than gross food intake (something that physiological models address). Our model takes advantage of the complementary strengths of these two approaches to overcome these weaknesses. Reassuringly, our model reproduces the predictions of its two constituent models under the simple conditions where they apply. When there is no competition for resources it mimics the physiological model of habitat selection, and when there is competition but no temperature variation between patches it mimics either the simple IFD model or the IFD model for unequal competitors. However, when there are both competition and temperature differences between patches our model makes different predictions. It predicts that input-matching between the resource renewal rate and the number of fish (or competitive units) in a patch, the hallmark of IFD models, will be the exception rather than the rule. It also makes the novel prediction that temperature based size-segregation will be common, and that the strength and direction of this segregation will depend on per capita resource renewal rates and the manner in which competitive weight scales with body size. Size-segregation should become more pronounced as per capita resource abundance falls. A larger fish/cooler water pattern is predicted when competitive ability increases more slowly than maximum ration with body size, and a smaller fish/cooler water pattern is predicted when competitive ability increases more rapidly than maximum ration with body size.
机译:我们描述了一种生境选择模型,该模型可预测食物可利用量和水温在空间上变化的生境中鱼的大小结构群的分布。该模型是通过将鱼类生长的生理模型与理想自由分布(IFD)逻辑相结合而形成的。在此模型中,我们假设个人争夺资源,争夺鱼类的相对竞争能力随体型而变化,并且个体选择能够最大化其生长速度的斑块。该模型克服了当前现有的基于生境和基于IFD的生境选择模型的局限性。这是因为现有的生理模型没有考虑到鱼在斑块中所消耗的食物量将取决于那里的竞争者的数量(IFD理论所解决的问题),而传统的IFD模型并未考虑到这一事实。鱼类很可能会根据潜在的增长率而不是总食物摄入量来选择斑块(生理模型可以解决的问题)。我们的模型利用了这两种方法的互补优势来克服这些弱点。令人放心的是,我们的模型在适用的简单条件下重现了两个组成模型的预测。当没有资源竞争时,它模仿生境选择的生理模型;当竞争但补丁之间没有温度变化时,它模仿简单的IFD模型或不平等竞争者的IFD模型。但是,当补丁之间存在竞争和温度差异时,我们的模型会做出不同的预测。它预测,IFD模型的标志是资源更新率和补丁中鱼类(或竞争单位)数量之间的投入匹配将是例外而不是规则。它还做出了新颖的预测,即基于温度的尺寸隔离将是常见的,并且这种隔离的强度和方向将取决于人均资源更新率以及竞争性体重随人体尺寸缩放的方式。随着人均资源丰富度的下降,规模隔离应该变得更加明显。当竞争能力的增加幅度大于最大比例时,可以预测出较大的鱼/冷却器水模式;而竞争能力的增加速率大于最大比例时,则可以预测出较小的鱼/冷却器水模式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号