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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Predicting shifts in dynamics of cannibalistic field populations using individual-based models.
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Predicting shifts in dynamics of cannibalistic field populations using individual-based models.

机译:使用基于个体的模型来预测食人族种群动态的变化。

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The occurrence of qualitative shifts in population dynamical regimes has long been the focus of population biologists. Nonlinear ecological models predict that these shifts in dynamical regimes may occur as a result of parameter shifts, but unambiguous empirical evidence is largely restricted to laboratory populations. We used an individual-based modelling approach to predict dynamical shifts in field fish populations where the capacity to cannibalize differed between species. Model-generated individual growth trajectories that reflect different population dynamics were confronted with empirically observed growth trajectories, showing that our ordering and quantitative estimates of the different cannibalistic species in terms of life-history characteristics led to correct qualitative predictions of their dynamics.
机译:人口动态机制中质变的发生一直是人口生物学家关注的焦点。非线性生态模型预测,动态范围的这些变化可能是参数变化的结果,但是明确的经验证据主要局限于实验室人群。我们使用基于个体的建模方法来预测田间鱼类种群的动态变化,其中不同物种之间的食人化能力有所不同。由模型生成的反映不同种群动态的个体增长轨迹与经验观察到的增长轨迹相面对,这表明我们根据生活史特征对不同食人物种的排序和定量估计导致对它们动态的正确定性预测。

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