Department of Zoology & Physiology, and the Program in Ecology, University of Wyoming, Laramie, Wyoming, 82071, USA.
Department of Integrative Biology, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
Ecol Appl. 2018 Dec;28(8):2066-2081. doi: 10.1002/eap.1795. Epub 2018 Sep 28.
Disruption of movement patterns due to alterations in habitat connectivity is a pervasive effect of humans on animal populations. In many terrestrial and aquatic systems, there is increasing tension between the need to simultaneously allow passage of some species while blocking the passage of other species. We explore the ecological basis for selective fragmentation of riverine systems where the need to restrict movements of invasive species conflicts with the need to allow passage of species of commercial, recreational, or conservation concern. We develop a trait-based framework for selective fish passage based on understanding the types of movements displayed by fishes and the role of ecological filters in determining the spatial distributions of fishes. We then synthesize information on trait-based mechanisms involved with these filters to create a multidimensional niche space based on attributes such as physical capabilities, body morphology, sensory capabilities, behavior, and movement phenology. Following this, we review how these mechanisms have been applied to achieve selective fish passage across anthropogenic barriers. To date, trap-and-sort or capture-translocation efforts provide the best options for movement filters that are completely species selective, but these methods are hampered by the continual, high cost of manual sorting. Other less effective methods of selective passage risk collateral damage in the form of lower or higher than desired levels of passage. Fruitful areas for future work include using combinations of ecological and behavioral traits to passively segregate species; using taxon-specific chemical or auditory cues to direct unwanted species away from passageways and into physical or ecological traps while attracting desirable species to passageways; and developing automated sorting mechanisms based on fish recognition systems. The trait-based approach proposed for fish could serve as a template for selective fragmentation in other ecological systems.
由于栖息地连通性的改变而导致的运动模式的破坏是人类对动物种群的普遍影响。在许多陆地和水生系统中,同时允许一些物种通过而阻止其他物种通过的需求之间存在越来越大的紧张关系。我们探讨了河流系统选择性破碎的生态基础,其中限制入侵物种运动的需求与允许具有商业、娱乐或保护价值的物种通过的需求相冲突。我们基于了解鱼类表现出的运动类型以及生态过滤器在确定鱼类空间分布中的作用,为基于特征的选择性鱼类洄游开发了一个框架。然后,我们综合了与这些过滤器相关的基于特征的机制的信息,根据物理能力、身体形态、感官能力、行为和洄游物候等属性创建一个多维生态位空间。在此之后,我们回顾了这些机制如何应用于实现人工障碍物的选择性鱼类洄游。迄今为止,陷阱和分类或捕获-迁移努力为完全物种选择性的运动过滤器提供了最佳选择,但这些方法受到手动分类持续高成本的阻碍。其他不太有效的选择性通过方法存在较低或较高于所需通过水平的附带损害风险。未来工作的有前景领域包括使用生态和行为特征的组合来被动地隔离物种;使用分类特异性的化学或听觉线索将不需要的物种引导远离通道进入物理或生态陷阱,同时吸引理想的物种进入通道;并基于鱼类识别系统开发自动化分类机制。为鱼类提出的基于特征的方法可以作为其他生态系统选择性破碎的模板。