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水生气味羽流三维精细结构中的空间信息

Spatial Information in the Three-Dimensional Fine Structure of an Aquatic Odor Plume.

作者信息

Moore P A, Atema J

出版信息

Biol Bull. 1991 Dec;181(3):408-418. doi: 10.2307/1542361.

Abstract

Turbulent odor plumes play an important role in many chemically mediated behaviors, yet the fine scale spatial structure of plumes has not been measured in detail. With the use of a newly introduced microelectrochemical recording technique, we have measured, in some detail, the fine structure of an aquatic odor plume in the laboratory. We sampled a turbulent odor plume at 10 Hz with a spatial sampling area of 0.02 mm2, approximately that of a chemoreceptor sensillum of the lobster, Homarus americanus. A 3-min record was sampled at 63 different sites in 3 dimensions (x, y, z). As expected from time averaging models, the mean values of pulse parameters such as height and onset slope were greatest near the source. However, what cannot be described by time averaging models is the instantaneous distribution of pulses: periodically high peaks with steep concentration slopes (well above the local average and far above predictions from averaging models) can be found far away from the source. However, the probability of above-average pulse heights decreases with distance from the source in x, y, and z directions. The most intense odor fluctuations occurred along the x axis (the cross-sectional center of the plume). Odor profiles were analyzed with three different models of sensory filters; logarithmic, probability, and temporal filters. This analysis indicates that features contained within the plume structure could be used as directional cues for orienting animals. It remains to be demonstrated that animals use such sensory filters to extract biologically relevant spatial information from odor plumes.

摘要

紊流气味羽流在许多化学介导行为中起着重要作用,但羽流的精细尺度空间结构尚未得到详细测量。通过使用新引入的微电化学记录技术,我们在实验室中对水生气味羽流的精细结构进行了较为详细的测量。我们以10赫兹的频率对紊流气味羽流进行采样,空间采样面积为0.02平方毫米,大约是美洲螯龙虾化学感受器感觉毛的面积。在三维空间(x、y、z)的63个不同位置对3分钟的记录进行采样。正如时间平均模型所预期的那样,脉冲参数(如高度和起始斜率)的平均值在源附近最大。然而,时间平均模型无法描述的是脉冲的瞬时分布:在远离源的地方可以发现具有陡峭浓度斜率的周期性高峰(远高于局部平均值且远高于平均模型的预测值)。然而,高于平均脉冲高度的概率在x、y和z方向上随与源的距离而降低。最强烈的气味波动发生在x轴(羽流的横截面中心)。用三种不同的感觉过滤器模型(对数过滤器、概率过滤器和时间过滤器)对气味剖面进行了分析。该分析表明,羽流结构中包含的特征可以用作引导动物定向的方向线索。动物是否利用这种感觉过滤器从气味羽流中提取生物学相关的空间信息还有待证明。

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