Lennox Robert J, Westrelin Samuel, Souza Allan T, Šmejkal Marek, Říha Milan, Prchalová Marie, Nathan Ran, Koeck Barbara, Killen Shaun, Jarić Ivan, Gjelland Karl, Hollins Jack, Hellstrom Gustav, Hansen Henry, Cooke Steven J, Boukal David, Brooks Jill L, Brodin Tomas, Baktoft Henrik, Adam Timo, Arlinghaus Robert
Laboratory for Freshwater Ecology and Inland Fisheries (LFI) at NORCE Norwegian Research Centre, Nygårdsporten 112, 5008, Bergen, Norway.
INRAE, Aix Marseille Univ, Pôle R&D ECLA, RECOVER, 3275 Route de Cézanne - CS 40061, 13182 Cedex 5, Aix-en-Provence, France.
Mov Ecol. 2021 Jul 28;9(1):40. doi: 10.1186/s40462-021-00244-y.
Movement ecology is increasingly relying on experimental approaches and hypothesis testing to reveal how, when, where, why, and which animals move. Movement of megafauna is inherently interesting but many of the fundamental questions of movement ecology can be efficiently tested in study systems with high degrees of control. Lakes can be seen as microcosms for studying ecological processes and the use of high-resolution positioning systems to triangulate exact coordinates of fish, along with sensors that relay information about depth, temperature, acceleration, predation, and more, can be used to answer some of movement ecology's most pressing questions. We describe how key questions in animal movement have been approached and how experiments can be designed to gather information about movement processes to answer questions about the physiological, genetic, and environmental drivers of movement using lakes. We submit that whole lake telemetry studies have a key role to play not only in movement ecology but more broadly in biology as key scientific arenas for knowledge advancement. New hardware for tracking aquatic animals and statistical tools for understanding the processes underlying detection data will continue to advance the potential for revealing the paradigms that govern movement and biological phenomena not just within lakes but in other realms spanning lands and oceans.
运动生态学越来越依赖实验方法和假设检验来揭示动物如何、何时、何地、为何以及哪些动物会移动。大型动物的移动本质上很有趣,但运动生态学的许多基本问题可以在具有高度可控性的研究系统中得到有效检验。湖泊可被视为研究生态过程的微观世界,利用高分辨率定位系统来确定鱼类的确切坐标,再结合能传递深度、温度、加速度、捕食等信息的传感器,可用于解答运动生态学中一些最紧迫的问题。我们描述了动物运动的关键问题是如何被研究的,以及如何设计实验来收集有关运动过程的信息,以解答关于利用湖泊研究运动的生理、遗传和环境驱动因素的问题。我们认为,全湖遥测研究不仅在运动生态学中,而且在更广泛的生物学领域中都起着关键作用,是推动知识进步的重要科学领域。用于追踪水生动物的新硬件和用于理解检测数据背后过程的统计工具,将继续提升揭示不仅在湖泊内部,而且在跨越陆地和海洋的其他领域中支配运动和生物现象的范式的潜力。