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Data from: Are 2D space-use analyses adapted to animals living in 3D environments? A case study on a fish shoal

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DataCite Commons2025-04-01 更新2025-04-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.q0n31
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Methodologies enabling the monitoring of animal movement and behavior in 3-dimensions (3D; x, y, z, the latter accounting for the vertical dimension) are becoming increasingly accessible and can be deployed on entire groups of animals inhabiting 3D habitats. When 2-dimensional (2D; x, y) space-use analyses are used on such groups, their spatial organization is represented as a planar projection of individuals’ space-use. Movement on the vertical dimension is ignored and could biased ecological inference made from the spatial structure of the group. We used a digital imaging technique to track movements and feeding behavior of individual animals within a free-range aggregation of juvenile drift-feeding fish (Galaxias anomalus) in 3D and at fine spatiotemporal scales. We estimated spatiotemporal overlap of space-use and feeding territories between group-members using 2D (x, y) and 3D spatial analysis to: (1) describe the spatial structure of the group, (2) identify patterns of resource partitioning, and (3) investigate the relationship between space-use overlap and feeding behavior. We found that overlapping ratios of space-use and feeding territories were over-estimated in 2D, while 3D analysis of space-use provided evidence of spatial partitioning between group-members. We also found that, regardless of the computation used, the overlapping ratios of space-use were positively correlated with overlapping ratios of feeding territories while no effect was found on feeding activity. In conclusion, whilst 3D analysis provided valuable information on the spatial structure of a group, inferences on the ecological function of space-use can also be obtained from 2D analysis.
提供机构:
Dryad
创建时间:
2016-11-15
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