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The effect of weather on the decision to migrate from stopover sites by autumn-migrating ducks

机译:天气对秋游鸭从中途停留地点迁移决定的影响

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Background Previous investigations of autumn-migrating ducks have reported weak connections between weather conditions and the decision to migrate from stopover sites. We leveraged relatively new weather surveillance radar technology to remotely detect departures of discrete groups of various species of migratory dabbling ducks ( Anatidae ) in autumn to more directly assess the effect of specific weather conditions on departure from discrete stopover sites. Methods Using radar data collected over fifteen years (1995–2009), we documented a consistent phenomenon where a single, identifiable group departed from our study area on 30% of days during the autumn study period, and no ducks departed on the other days. We gathered weather variables from nearby stations and used them to develop competing models to explain temporal patterns of departure versus non-departure to better understand the potential mechanisms associated with binomial patterns of departures. Results The best approximating model of departure probability was our integrated model, which included variables accounting for wind aloft direction favorable for departure (i.e., tailwind), absence of precipitation, and a partially or completely clear sky. The integrated model accounted for all model weight in the candidate set and explained 55% of the variation in departure probability. Estimated probability of departure was 0.76 after parameterizing the best model with favorable conditions for all covariates. Conclusions Our results contrasted those of previous studies of autumn duck migration as a small set of simplistic, extrinsic conditions substantially influenced departure decision.
机译:背景先前对秋季迁徙鸭子的调查表明,天气状况与从中途停留地点迁徙的决定之间的联系薄弱。我们利用相对较新的天气监视雷达技术,在秋季远程检测各种迁徙性涉水鸭科(Anadidae)离散群的离开,以更直接地评估特定天气条件对离散离散中途站点离开的影响。方法使用从过去15年(1995-2009年)收集的雷达数据,我们记录了一个一致的现象:在秋季研究期间,有一个可识别的小组在30%的日子里离开了我们的研究区域,而其他日子没有鸭子离开。我们从附近站点收集了天气变量,并使用它们开发了竞争模型来解释起飞与非起飞的时间模式,以便更好地了解与起飞二项式相关的潜在机制。结果离场概率的最佳近似模型是我们的综合模型,该模型包括考虑有利于离场的高空风向(即顺风),没有降水以及部分或完全晴朗的天空的变量。集成模型考虑了候选集中所有模型的权重,并解释了55%的离场概率变化。在对所有协变量都设置有利条件的最佳模型后,估计的偏离概率为0.76。结论我们的结果与以前的秋鸭迁移研究进行了对比,因为少量的简单化,外部条件严重影响了出发决策。

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