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首页> 外文期刊>Ardea >Daily stopovers as optimal migration strategy in a long-distance migrating passerine: the Northern Wheatear Oenanthe oenanthe
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Daily stopovers as optimal migration strategy in a long-distance migrating passerine: the Northern Wheatear Oenanthe oenanthe

机译:在长距离迁徙的雀形目中,每日停留是最佳的迁徙策略:北麦翁区的月见草

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摘要

Selection for early arrival is expected to shape optimal stopover decisions in migrating birds to minimise time spent on migration. Optimality models predict that fuel loads at departure from stopover sites and stopover duration should depend strongly on search and settling costs as well as on individual fuel deposition rates. In previous years little attention was paid to natural search and settling costs. In the Northern Wheatear Oenanthe oenanthe, a nocturnal long distance migrant, we found evidence for low search and settling costs suggesting that these birds have the capacity to gain body mass from the first day of stopover. Positive correlation between fuel deposition rates and departure fuel loads in males met model predictions for time minimising strategies with an expected global variation in fuel deposition rates and search and settling costs of less than one day Assuming such low search and settling costs, a time minimising migrant experiencing a stopover site with average fuel deposition rates of 4% of lean body mass is expected to depart with fuel loads less than 17% of its lean body mass. Data on fuel loads from different stopover sites in Europe show that Northern Wheatears generally fulfil these model predictions. Such low fuel loads are expected to force the birds to rest and refuel daily.
机译:预计提前到达的选择将影响候鸟的最佳中途停留决定,以最大程度地减少候鸟时间。最优模型预测,从中途停留地点出发的燃料负荷和中途停留时间应在很大程度上取决于搜索和沉降成本以及各个燃料的沉积率。在过去的几年中,很少有人关注自然搜索和安置费用。在夜间长途迁徙的北部麦翁地区的Oenanthe oenanthe上,我们发现搜寻和定居费用较低的证据表明,这些鸟类从中途停留的第一天起就有能力增加体重。男性的燃油沉积率与出发燃油负荷之间的正相关性满足模型预测的时间最小化策略,预计燃油沉积率和搜索与安置成本的全球变化少于一天。假设如此低的搜索和沉降成本,则可将移民的时间减至最少如果停留在中途停留的地点的平均燃料沉积率为瘦体重的4%,则预计其燃料负荷将少于瘦体重的17%。来自欧洲不同中途停留地点的燃油负荷数据表明,北麦翁大麦通常满足这些模型预测。如此低的燃油负荷预计将迫使鸟类每天休息并加油。

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