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首页> 外文期刊>Ecological Modelling >A spatially explicit optimal foraging model of Black-legged Kittiwake behavior based on prey density, travel distances, and colony size
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A spatially explicit optimal foraging model of Black-legged Kittiwake behavior based on prey density, travel distances, and colony size

机译:基于猎物密度,行进距离和菌落大小的黑脚Kittiwake行为的空间明确最佳觅食模型

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We developed a spatially explicit population model (FORAGER) that simulates the foraging movements of Black-legged Kittiwakes (Rissa tridactyla) in Prince William Sound (PWS), Alaska, an oceanographically, spatially, and temporally complex marine environment where the foraging behavior of this species has been extensively studied. Kittimake foraging behavior had been previously modeled in the North Sea, an area spatially less complex than PWS, and we make comparisons to those studies. We calibrated and evaluated FORAGER by comparing predicted with observed bird movements, as well as with the predictions of a multiple regression model. Empirical data were derived from radio-telemetered kittiwakes tracked in an area where aerial surveys were determining the distribution and abundance of suitable prey schools over two years. The model simulated a predator searching for a school in a grid-based (2.78 km x 2.78 km) environment. The simulated predator is aware of fish-school density within a specified neighborhood around its current grid cell, and moves to an adjacent cell in order to maximize its prey encounter rate while avoiding cells that are primarily land. When a school is successfully found and exploited, the kittiwake returns to its colony by direct flight. Colony foraging grounds are created by simulating multiple foraging trips, each based on a different distribution of fish schools created by randomly perturbing the observed distributions. The four-parameter FORAGER model outperformed comparable multiple regression models, explaining on average 68% of the variation in observed kittiwake foraging behavior using a polar grid, and 44% using a rectangular grid. A four-parameter multiple regression model based on the same data set accounted for only 35 and 28% of the variation, respectively, depending on grid structure. Comparison of simulated and observed behavior suggests that kittiwakes in PWS plan their movements only within a neighborhood of about four grid cells, rely heavily on information gathered while foraging (including both negative and positive indications from conspecifics), and rely only somewhat on memory of prey distribution, as has been hypothesized to be effective in less complex regions (North Sea). FORAGER predicts that kittiwake movements should differ from the Ideal Free Distribution because of the predators' uncertainty as to the actual prey distribution. Model results also indicate little relationship between the actual location of breeding colonies and local areas of high prey availability. Comparison of actual colony locations with randomly sited colony locations, however, showed that the former minimize the interaction among foraging kittiwakes from different colonies. (C) 2007 Elsevier B.V. All rights reserved.
机译:我们开发了一个空间显性种群模型(FORAGER),该模型模拟了阿拉斯加威廉王子湾(PWS)在海洋,空间和时间上都复杂的海洋环境中黑足ti(Rissa tridactyla)的觅食运动。物种已被广泛研究。 Kittimake的觅食行为以前是在北海建模的,该地区在空间上没有PWS复杂,我们将这些研究进行了比较。我们通过比较预测的和观察到的鸟类运动以及多元回归模型的预测来校准和评估FORAGER。经验数据来自在某个地区进行的空中遥测Kittiwakes跟踪,航测确定了两年来合适的猎物学校的分布和数量。该模型模拟了捕食者在基于网格(2.78 km x 2.78 km)的环境中搜索学校的过程。模拟的捕食者了解其当前网格单元周围指定邻域内的鱼群密度,并移动到相邻的单元以最大化其猎物遭遇率,同时避开主要为陆地的单元。当一所学校被成功发现和利用后,Kittiwake会通过直接飞行返回其殖民地。殖民地觅食场是通过模拟多次觅食旅行而创建的,每次旅行都基于通过随机扰动观察到的分布而形成的鱼类群的不同分布。四参数的FORAGER模型优于可比较的多元回归模型,使用极坐标网格可以解释平均68%的Kittwake觅食行为变化,而使用矩形网格可以解释44%的变化。根据网格结构,基于相同数据集的四参数多元回归模型分别仅占变异的35%和28%。比较模拟行为和观察到的行为表明,PWS中的Kittiwakes仅在大约四个网格单元的附近计划其运动,严重依赖于觅食时收集的信息(包括同种动物的消极和积极迹象),并且仅略微依赖猎物的记忆分布被认为在不太复杂的地区(北海)有效。 FORAGER预测,由于掠食者对实际猎物分布的不确定性,Kittakewake运动应与理想自由分布有所不同。模型结果还表明,繁殖殖民地的实际位置与高可用猎物区域之间的关系很小。但是,将实际的菌落位置与随机定位的菌落位置进行比较后发现,前者使来自不同菌落的觅食Kittiwakes之间的相互作用最小化。 (C)2007 Elsevier B.V.保留所有权利。

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