Am Nat. 2023 Apr;201(4):586-602. doi: 10.1086/723405. Epub 2023 Feb 17.
AbstractUnifying models have shown that the amount of space used by animals (e.g., activity space, home range) scales allometrically with body mass for terrestrial taxa; however, such relationships are far less clear for marine species. We compiled movement data from 1,596 individuals across 79 taxa collected using a continental passive acoustic telemetry network of acoustic receivers to assess allometric scaling of activity space. We found that ectothermic marine taxa do exhibit allometric scaling for activity space, with an overall scaling exponent of 0.64. However, body mass alone explained only 35% of the variation, with the remaining variation best explained by trophic position for teleosts and latitude for sharks, rays, and marine reptiles. Taxon-specific allometric relationships highlighted weaker scaling exponents among teleost fish species (0.07) than sharks (0.96), rays (0.55), and marine reptiles (0.57). The allometric scaling relationship and scaling exponents for the marine taxonomic groups examined were lower than those reported from studies that had collated both marine and terrestrial species data derived using various tracking methods. We propose that these disparities arise because previous work integrated summarized data across many studies that used differing methods for collecting and quantifying activity space, introducing considerable uncertainty into slope estimates. Our findings highlight the benefit of using large-scale, coordinated animal biotelemetry networks to address cross-taxa evolutionary and ecological questions.
摘要 统一模型表明,动物(例如活动空间、家域)的空间使用量与陆地分类群的体重呈异速生长关系;然而,这种关系在海洋物种中远不那么明确。我们汇总了 79 个分类群的 1596 个个体的运动数据,这些数据是使用大陆被动声学遥测网络中的声学接收器收集的,以评估活动空间的异速生长关系。我们发现,变温海洋分类群确实表现出活动空间的异速生长关系,总体缩放指数为 0.64。然而,体重单独仅解释了 35%的变化,其余变化最好由硬骨鱼的营养位和鲨鱼、鳐鱼和海洋爬行动物的纬度来解释。特定分类群的异速生长关系突出了硬骨鱼物种(0.07)比鲨鱼(0.96)、鳐鱼(0.55)和海洋爬行动物(0.57)的缩放指数较弱。所检查的海洋分类群的异速生长关系和缩放指数低于那些从使用各种跟踪方法汇集了海洋和陆地物种数据的研究中报告的结果。我们提出,这些差异是因为以前的工作整合了许多研究的汇总数据,这些研究使用了不同的方法来收集和量化活动空间,从而给斜率估计带来了相当大的不确定性。我们的研究结果强调了使用大型、协调的动物生物遥测网络来解决跨分类群进化和生态问题的好处。