Marine invasive species: Eilat, Gulf of Aqaba, Red Sea

This is the OBIS extraction of the Ocean Tracking Network and Tel Aviv University (TAU) Marine invasive species: Eilat, Gulf of Aqaba, Red Sea, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals.
If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=SIUI).
Abstract:Marine invasive species have become a widespread phenomenon, with devastating ecological and economic consequences. Current research focuses mainly on monitoring the ecological impacts of invasive species, rather than aiming to understand the mechanisms facilitate or drive them. Landscape characteristics such as substrate configuration, patchiness, and resource availability, are known determinants of the behavior and distribution of marine species. Such components change substantially over space and time, and little is known on how the impact of invasive species may vary accordingly. This research focuses on an invasive rabbitfish species Siganus rivulatus, previously native to the Indo-Pacific. Along the Mediterranean coast, S. rivulatus is shown to have devastating impacts on biodiversity, ecosystems� resilience, and community structures. My research aims to understand how the species� behavior and impact are facilitated or restricted by the surrounding landscape, directly comparing the native and invasive ranges of this species. By employing state-of-the-art technology, previously unused in Israel, fish movements will be recorded in real-time through acoustic tags. Data of such high resolution will enable to quantify fundamental parameters such as home range kernels, habitat utilization, and movement trajectories. By conducting a similar study at the native region (Red Sea; Eilat) and the invaded region (Mediterranean; Sdot-Yam) I will gain insight into the behavioral landscape ecology of S. rivulatus, and the behavioral shifts that may have occurred as a result of invading a novel ecosystem. Finally, movement patterns of S. rivulatus can be used to understand the degree of landscape connectivity in the Mediterranean, thereby predicting further expansion.

本数据集为海洋跟踪网络（Ocean Tracking Network, OTN）与特拉维夫大学（Tel Aviv University, TAU）联合产出的海洋入侵物种相关海洋生物地理信息系统（Ocean Biogeographic Information System, OBIS）提取数据集，采集区域为红海亚喀巴湾埃拉特海域，包含标记动物的放流元数据（即标记个体的放流位置与日期），以及标记个体的检测事件汇总数据。

若读者希望获取原始数据集，可联系此处列出的项目负责人，或访问海洋跟踪网络官网（https://members.oceantrack.org/project?ccode=SIUI）进行咨询。

摘要：海洋入侵物种已成为全球性普遍现象，其引发的生态破坏与经济损失极具毁灭性。当前相关研究多聚焦于监测入侵物种的生态影响，而非阐明推动或促成其入侵的内在机制。景观特征（如底质构型、斑块分布与资源可获得性）是决定海洋物种行为与分布的关键因素。此类特征随空间与时间发生显著变化，但目前学界对入侵物种的影响如何随这些特征改变仍知之甚少。

本研究聚焦于一种此前原产于印度-太平洋海域的入侵性兔形鱼类条纹篮子鱼（Siganus rivulatus）。在地中海沿岸，条纹篮子鱼已被证实对生物多样性、生态系统韧性及群落结构造成毁灭性破坏。本研究旨在阐明周边景观如何促进或限制该物种的行为与影响，通过直接对比该物种的原生与入侵分布范围开展研究。

研究团队将采用以色列此前未应用过的前沿技术，通过声学标记标签实时记录鱼类的移动轨迹。此类高分辨率数据将可用于量化家域核（home range kernels）、生境利用模式与移动轨迹等核心参数。通过在原生海域（红海埃拉特）与入侵海域（地中海锡德亚姆，Sdot-Yam）开展同类研究，本研究将揭示条纹篮子鱼的行为景观生态学特征，以及因入侵全新生态系统而发生的行为转变。最后，条纹篮子鱼的移动模式可用于解析地中海海域的景观连通程度，进而预测其进一步的扩散范围。