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Studying the movement behavior of benthic macroinvertebrates with automated video tracking

机译:通过自动视频跟踪研究底栖大型无脊椎动物的运动行为

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摘要

Quantifying and understanding movement is critical for a wide range of questions in basic and applied ecology. Movement ecology is also fostered by technological advances that allow automated tracking for a wide range of animal species. However, for aquatic macroinvertebrates, such detailed methods do not yet exist. We developed a video tracking method for two different species of benthic macroinvertebrates, the crawling isopod Asellus aquaticus and the swimming fresh water amphipod Gammarus pulex. We tested the effects of different light sources and marking techniques on their movement behavior to establish the possibilities and limitations of the experimental protocol and to ensure that the basic handling of test specimens would not bias conclusions drawn from movement path analyses. To demonstrate the versatility of our method, we studied the influence of varying population densities on different movement parameters related to resting behavior, directionality, and step lengths. We found that our method allows studying species with different modes of dispersal and under different conditions. For example, we found that gammarids spend more time moving at higher population densities, while asellids rest more under similar conditions. At the same time, in response to higher densities, gammarids mostly decreased average step lengths, whereas asellids did not. Gammarids, however, were also more sensitive to general handling and marking than asellids. Our protocol for marking and video tracking can be easily adopted for other species of aquatic macroinvertebrates or testing conditions, for example, presence or absence of food sources, shelter, or predator cues. Nevertheless, limitations with regard to the marking protocol, material, and a species’ physical build need to be considered and tested before a wider application, particularly for swimming species. Data obtained with this approach can deepen the understanding of population dynamics on larger spatial scales and of the effects of different management strategies on a species’ dispersal potential.
机译:量化和理解运动对于基本和应用生态学中的许多问题至关重要。运动技术的进步也促进了运动生态学的发展,这些技术允许自动跟踪各种动物。但是,对于水生无脊椎动物,还没有这种详细的方法。我们为两种底栖大型无脊椎动物开发了一种视频跟踪方法,它们是爬行的等脚类动物Asellus aquaticus和游泳的淡水两栖动物Gammarus pulex。我们测试了不同光源和标记技术对其移动行为的影响,以建立实验方案的可能性和局限性,并确保测试样品的基本处理不会偏重从移动路径分析得出的结论。为了证明我们方法的多功能性,我们研究了人口密度变化对与静止行为,方向性和步长有关的不同运动参数的影响。我们发现,我们的方法可以研究具有不同分散模式和不同条件的物种。例如,我们发现,γ-突足目花更多的时间在较高的人口密度下移动,而asellid在类似的条件下休息更多。同时,响应于更高的密度,γ射线大多减少了平均步长,而asellid则没有。但是,伽马利德犬对一般的处理和标记也比阿斯利德星灵敏感。我们的标记和视频跟踪协议可轻松用于其他种类的水生无脊椎动物或测试条件,例如,是否存在食物源,庇护所或捕食者线索。尽管如此,在广泛应用之前,尤其是对于游泳物种,在标记协议,材料和物种的物理构造方面需要考虑和测试限制。通过这种方法获得的数据可以加深对更大空间尺度上的种群动态以及不同管理策略对物种传播潜力的影响的理解。

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