首页> 外文期刊>Журнал общей биологии >OPTIMAL STOPOVER DECISIONS OF MIGRATING BIRDS UNDER VARIABLE STOPOVER QUALITY: MODEL PREDICTIONS AND THE FIELD DATA
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OPTIMAL STOPOVER DECISIONS OF MIGRATING BIRDS UNDER VARIABLE STOPOVER QUALITY: MODEL PREDICTIONS AND THE FIELD DATA

机译:可变停留质量下迁徙鸟的最佳停留决策:模型预测和现场数据

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摘要

Dataset on departure fuel loads, stopover length and fuel deposition rate of the European robins Erithacus rube-cula during their migration in the Baltic area is presented. We test these empirical data against the predictions of an optimal migration model assuming that robins minimize time spent on migration, and that fuel deposition rate varies stochastically. The latter assumption sets this model apart from the alternative ones and makes it more realistic. In particular, it is applicable in frequently observed situations when fuel deposition rate is negative. Our model assumes stochastic variation of the fuel deposition rate at sites along the migratory rout and thus is applicable when negative values of fuel deposition rate are recorded. The model predicts the relationship between fuel deposition rate and departure fuel load rather well. The agreement between the observed and the predicted values of optimal stopover duration is much poorer. Predictions of optimal migration theory are known to be dependent on the form of flight equation chosen. Our model fits the data best when the costs of transport are low. This supports the idea that transport costs of fuel stores may be low, especially when fuel stores are modest.
机译:给出了欧洲知更鸟Erithacus rube-cula在波罗的海地区迁移期间的离场燃料负荷,中途停留时间和燃料沉积速率的数据集。假设知更鸟能将花费在迁移上的时间降到最低,并且燃料沉积速率是随机变化的,我们将根据最佳迁移模型的预测测试这些经验数据。后一种假设使该模型与其他模型脱节,并使之更加现实。特别地,它适用于燃料沉积速率为负的经常观察到的情况。我们的模型假设迁移路线沿线的燃料沉积速率是随机变化的,因此适用于记录燃料沉积速率为负值的情况。该模型很好地预测了燃料沉积率和离开燃料负荷之间的关系。最佳中途停留时间的观测值与预测值之间的一致性差得多。已知最佳迁移理论的预测取决于所选飞行方程的形式。当运输成本较低时,我们的模型最适合数据。这支持了燃料存储的运输成本可能较低的想法,尤其是在燃料存储适度的情况下。

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