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Can We Predict Foraging Success in a Marine Predator from Dive Patterns Only? Validation with Prey Capture Attempt Data

机译:我们能否仅根据潜水模式来预测海洋捕食者的觅食成功?使用猎物捕获尝试数据进行验证

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摘要

Predicting how climatic variations will affect marine predator populations relies on our ability to assess foraging success, but evaluating foraging success in a marine predator at sea is particularly difficult. Dive metrics are commonly available for marine mammals, diving birds and some species of fish. Bottom duration or dive duration are usually used as proxies for foraging success. However, few studies have tried to validate these assumptions and identify the set of behavioral variables that best predict foraging success at a given time scale. The objective of this study was to assess if foraging success in Antarctic fur seals could be accurately predicted from dive parameters only, at different temporal scales. For this study, 11 individuals were equipped with either Hall sensors or accelerometers to record dive profiles and detect mouth-opening events, which were considered prey capture attempts. The number of prey capture attempts was best predicted by descent and ascent rates at the dive scale; bottom duration and descent rates at 30-min, 1-h, and 2-h scales; and ascent rates and maximum dive depths at the all-night scale. Model performances increased with temporal scales, but rank and sign of the factors varied according to the time scale considered, suggesting that behavioral adjustment in response to prey distribution could occur at certain scales only. The models predicted the foraging intensity of new individuals with good accuracy despite high inter-individual differences. Dive metrics that predict foraging success depend on the species and the scale considered, as verified by the literature and this study. The methodology used in our study is easy to implement, enables an assessment of model performance, and could be applied to any other marine predator.
机译:预测气候变化对海洋捕食者数量的影响取决于我们评估觅食成功的能力,但是评估海上海洋捕食者在海洋觅食的成功特别困难。潜水指标通常适用于海洋哺乳动物,潜水鸟和某些鱼类。底部持续时间或潜水持续时间通常用作成功觅食的代理。但是,很少有研究试图验证这些假设并确定一组行为变量,这些行为变量可以最佳地预测给定时间范围内觅食的成功。这项研究的目的是评估是否只能根据潜水参数在不同的时间尺度上准确预测南极海狗的觅食成功。在本研究中,有11个人配备了霍尔传感器或加速度计,以记录下潜曲线并检测张口事件,这被认为是捕获猎物的尝试。根据潜水等级的下降率和上升率,可以最好地预测捕获猎物的次数。 30分钟,1小时和2小时刻度的最低持续时间和下降率;以及整夜范围内的上升速率和最大潜水深度。模型的性能随时间尺度而增加,但是因素的等级和符号根据所考虑的时间尺度而变化,这表明响应于猎物分布的行为调整只能在某些尺度上发生。尽管个体间差异很大,该模型仍能以较高的准确性预测新个体的觅食强度。如文献和本研究所证实,预测觅食成功的潜水指标取决于所考虑的物种和规模。我们的研究中使用的方法易于实施,能够评估模型的性能,并可应用于任何其他海洋捕食者。

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