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The heterogeneous spatial and temporal patterns of behavior of small pelagic fish in an array of Fish Aggregating Devices (FADs)

机译:鱼聚集装置阵列中小型鱼类鱼类的异质空间和时间模式(FADS)

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摘要

Identifying spatial and temporal patterns can reveal the driving factors thatgovern the behavior of fish in their environment. In this study, wecharacterized the spatial and temporal occupation of 37 acoustically taggedbigeye scads (Selar Crumenophthalmus) in an array of shallow Fish AggregatingDevices (FADs) to clarify the mechanism that leads fish to associate with FADs.A comparison of the number of visits and residence times exhibited by the fishat different FADs revealed a strong variability over the array of FADS, withthe emergence of a leading FAD, which recorded the majority of visits andretained the fish for a longer period of time. We found diel variability in theresidence times, with fish associated at daytime and exploring the array ofFADs at nighttime. We demonstrated that this diel temporal pattern wasamplified in the leading FAD. We identified a 24-hour periodicity for a subsetof individuals aggregated to the leading FAD, thus suggesting that those fishwere able to find this FAD after night excursions. The modeling of fishmovements based on a Monte Carlo sampling of inter-FAD transitions revealedthat the observed spatial heterogeneity in the number of visits could not beexplained through simple array-connectivity arguments. Similarly, wedemonstrated that the high residence times recorded at the leading FAD were notdue to the spatial arrangement of individual fish having different associativecharacters. We discussed the relationships between these patterns ofassociation with the FADs, the exploration of the FAD array and the possibleeffects of social interactions and environmental factors.
机译:识别空间和时间模式可以揭示驾驶因子,即在其环境中鱼类的行为。在这项研究中,在浅鱼聚集装置(FADS)阵列中,将37个声学标记的Pigeye液体(Selar Crumophothalmus)的空间和时间占用,以澄清与FADS联系起来的机制。参观和居住人数的比较Fishat不同的FAD展出的时间揭示了对时阵容的强烈变化,带来了领先的FAD,这录制了大部分访问的次数较长的时间。我们在最有效期内发现了Diel可变性,在白天相关的鱼类,并在夜间探索阵列落后。我们证明,这种DIEL时间模式在领先的时代呈现。我们确定了24小时的周期,为汇总到领先的时尚,因此暗示那些钓鱼会在夜间游览后找到这个。基于Monte Carlo的FishMovement的建模在FAD间过渡中显示出观察到的空间异质性,通过简单的阵列连接参数无法解释。同样,WeDemonStrated将在领先的FAD上记录的高停留时间不应与具有不同联合缔合的各个鱼的空间排列。我们讨论了这些模式与时尚的这些模式之间的关系,探索FAD阵列和社会互动和环境因素的可能性。

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