Habitat mapping of giant kelp (Macrocystis pyrifera) and devil weed (Sargassum horneri) off the coast of Santa Catalina Island, California

M. Espriella, Tyler Schaper, Alison Atchia, Katherine Rose, V. Lecours
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引用次数: 2

Abstract

Background: Macrocystis pyrifera, commonly known as giant kelp, is a fast-growing brown alga that typically inhabits temperate waters. In southern California, M. pyrifera provides many ecologically and economically significant ecosystem services. Sargassum horneri, a non-native brown macroalga commonly known as devil weed, often outcompetes M. pyrifera while providing fewer ecological or economical benefits. Examining potential areas of species overlap is key to understanding the invasion potential of S. horneri and essential to the implementation of removal efforts. This study aims to map the suitable habitat of M. pyrifera and invasive S. horneri in the coastal waters of Santa Catalina Island, California, and to quantify any overlapping habitat between the two macroalgae. Methods: Broadly defined potential habitats were characterized around Santa Catalina Island using an unsupervised approach to habitat mapping based on a series of abiotic surrogates mapped at a 2 m spatial resolution. In situ substrate data were then overlaid onto the unsupervised classification to identify spatial associations between substrate type and potential habitats, and to interpret the classes. To predict the distribution of M. pyrifera and S. horneri around Santa Catalina Island based on their respective association with the environment, maximum entropy (MaxEnt) was used to produce species distribution models. The resulting models for M. pyrifera and S. horneri were overlaid to identify potential areas of conflict based on suitable habitat overlap. Results: The unsupervised approach to habitat mapping resulted in a map of four potential habitats around Santa Catalina Island based on substrate cover. Sand was the most dominant type of substrate. The supervised approach using MaxEnt identified 10.27% of the study area as suitable habitat for M. pyrifera and 7.37% as suitable habitat for S. horneri. A total of 33.56% of the suitable habitat for M. pyrifera was found to also be suitable for S. horneri. Limitations: The characterization of habitats and the species distribution modeling were limited to the study of benthic terrain characteristics due to the unavailability of other high-resolution environmental data (e.g., hydrodynamics and chemical data) around Santa Catalina Island. In addition, data were not available for the very shallow waters near the coast, where giant kelp is often found. Given the complexity of this ecosystem, the addition of other variables and data coverage closer to the coast would potentially make the maps and models more representative of the actual distribution of M. pyrifera and S. horneri and provide a more complete understanding of their environmental preferences. Conclusion: This study provides insight into the kelp forest ecosystems found in California’s Channel Islands; it is a vital first step in order to understand the potential areas for invasion of M. pyrifera by S. horneri, thus supporting decision making and efforts to control S. horneri abundance.
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加州圣卡塔利娜岛海岸外巨型海带(Macrocystis pyrifera)和魔鬼草(Sargassum horneri)的栖息地测绘
背景:巨藻(Macrocystis pyrifera),俗称巨藻,是一种生长迅速的褐藻,通常生活在温带水域。在南加州,M. pyrifera提供了许多具有生态和经济意义的生态系统服务。马尾藻,一种非本地的棕色大藻,通常被称为魔鬼草,经常胜过M. pyrifera,而提供较少的生态或经济效益。研究物种重叠的潜在区域是了解霍氏弧菌入侵潜力的关键,也是实施清除工作的关键。本研究旨在绘制美国加州圣卡塔利娜岛(Santa Catalina Island)沿海地区M. pyrifera和S. horneri两种大型藻类的适宜栖息地,并量化这两种大型藻类之间的重叠栖息地。方法:采用基于一系列非生物替代物的无监督生境制图方法,以2 m空间分辨率绘制了圣卡塔利娜岛周围广泛定义的潜在栖息地。然后将原位基质数据叠加到无监督分类上,以确定基质类型与潜在栖息地之间的空间关联,并解释分类。利用最大熵法(MaxEnt)建立了两种物种在圣卡塔利娜岛附近的分布模型,根据两种物种与环境的相关性预测其分布。基于适宜生境重叠,将所得模型叠加在一起,确定潜在冲突区域。结果:基于底物覆盖,采用无监督方法绘制了圣卡塔利娜岛周围4个潜在栖息地的地图。砂是最主要的基质类型。MaxEnt的监督法鉴定出10.27%的研究区为梨蚜适宜生境,7.37%的研究区为霍氏棘虫适宜生境。结果表明,33.56%的黄螺旋虫适宜生境也适宜于黄螺旋虫。局限性:由于缺乏圣卡塔利娜岛周围其他高分辨率环境数据(如水动力学和化学数据),生境表征和物种分布模型仅限于底栖生物地形特征的研究。此外,没有关于海岸附近非常浅的水域的数据,那里经常发现巨大的海带。考虑到这个生态系统的复杂性,增加其他变量和靠近海岸的数据覆盖范围可能会使地图和模型更能代表M. pyrifera和S. horneri的实际分布,并提供对它们环境偏好的更完整的了解。结论:这项研究提供了对加利福尼亚海峡群岛海带森林生态系统的深入了解;这是了解牛角螺旋菌可能入侵区域的重要第一步,从而为控制牛角螺旋菌数量的决策和努力提供支持。
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