Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Florida Fish and Wildlife Conservation Commission, Florida Fish and Wildlife Research Institute, St. Petersburg, Florida, USA.
Ecol Appl. 2022 Jul;32(5):e2584. doi: 10.1002/eap.2584. Epub 2022 Apr 29.
Interspecific interactions can play an essential role in shaping wildlife populations and communities. To date, assessments of interspecific interactions, and more specifically predator-prey dynamics, in aquatic systems over broad spatial and temporal scales (i.e., hundreds of kilometers and multiple years) are rare due to constraints on our abilities to measure effectively at those scales. We applied new methods to identify space-use overlap and potential predation risk to Atlantic tarpon (Megalops atlanticus) and permit (Trachinotus falcatus) from two known predators, great hammerhead (Sphyrna mokarran) and bull (Carcharhinus leucas) sharks, over a 3-year period using acoustic telemetry in the coastal region of the Florida Keys (USA). By examining spatiotemporal overlap, as well as the timing and order of arrival at specific locations compared to random chance, we show that potential predation risk from great hammerhead and bull sharks to Atlantic tarpon and permit are heterogeneous across the Florida Keys. Additionally, we find that predator encounter rates with these game fishes are elevated at specific locations and times, including a prespawning aggregation site in the case of Atlantic tarpon. Further, using machine learning algorithms, we identify environmental variability in overlap between predators and their potential prey, including location, habitat, time of year, lunar cycle, depth, and water temperature. These predator-prey landscapes provide insights into fundamental ecosystem function and biological conservation, especially in the context of emerging fishery-related depredation issues in coastal marine ecosystems.
种间相互作用在塑造野生动物种群和群落方面起着至关重要的作用。迄今为止,由于我们在这些尺度上有效测量的能力受到限制,对水生系统中种间相互作用(特别是捕食者-猎物动态)进行广泛的空间和时间尺度(即数百公里和多年)的评估很少。我们应用了新的方法,使用声学遥测技术,在佛罗里达群岛(美国)的沿海地区,对两种已知的捕食者——大锤头鲨(Sphyrna mokarran)和牛鲨(Carcharhinus leucas),识别了大西洋马鲛鱼(Megalops atlanticus)和许可鱼(Trachinotus falcatus)的空间利用重叠和潜在捕食风险,为期 3 年。通过检查时空重叠,以及与随机机会相比,在特定地点的到达时间和顺序,我们表明,大锤头鲨和牛鲨对大西洋马鲛鱼和许可鱼的潜在捕食风险在佛罗里达群岛上是不同的。此外,我们发现这些猎食鱼类与这些鱼类的捕食者相遇的速度在特定地点和时间升高,包括大西洋马鲛鱼的产卵前聚集区。此外,使用机器学习算法,我们确定了捕食者与其潜在猎物之间重叠的环境变异性,包括位置、栖息地、一年中的时间、月相、深度和水温。这些捕食者-猎物景观为基本生态系统功能和生物保护提供了深入的了解,特别是在沿海海洋生态系统中新兴的渔业相关掠夺问题的背景下。