Data from: Network analyses reveal intra- and interspecific differences in behaviour when passing a complex migration obstacle

1. Network theory offers new perspective on movement data by evaluating the relationships between animal movements (links) and detection locations (nodes) in spatially complex systems, including human-altered landscapes.

2. We applied network analyses to intra- and interspecific movement patterns in the migration behaviour and dam passage success of two anadromous fish species, Pacific lamprey Entosphenus tridentatus Gairdner and Chinook salmon Oncorhynchus tshawytscha Walbaum, when moving through a large multi-fishway hydroelectric project (Bonneville Dam, USA).

3. Network analyses revealed greater variation in movement for Pacific lamprey compared with Chinook salmon. Salmon that passed the dam had networks consisting of more direct passage routes with fewer overall movements compared with lamprey that passed the dam. Lamprey that did not pass the dam exhibited a wide range of behaviours, from approaching only one fishway site to testing all possible passage routes. Accounting for the time spent in the network improved the ability to detect biological differences in network structure for lamprey that did and did not pass the dam.

4. The movement patterns likely resulted from different behavioural responses to complex environmental and internal factors affecting a philopatric species (Chinook salmon) versus a non-philopatric species (Pacific lamprey) when moving through an engineered environment designed primarily for salmon.

5. Synthesis and applications. Our case study highlights the potential for network analyses to link questions of basic movement ecology with monitoring of movement and behaviour in human-altered landscapes. Network analyses can thus serve as a valuable tool for describing movement and behaviour in the face of environmental change and assessing the effectiveness of mitigation efforts at spatially complex obstacles to animal movement.

1. 网络理论（Network Theory）通过解析空间复杂系统（涵盖人为干扰景观（human-altered landscapes））内动物移动行为（连接边，links）与监测点位（节点，nodes）之间的关联关系，为移动数据研究提供了全新视角。
2. 本研究将网络分析方法应用于两种溯河洄游鱼类（anadromous fish）——太平洋七鳃鳗（*Entosphenus tridentatus* Gairdner，Pacific lamprey）与奇努克鲑（*Oncorhynchus tshawytscha* Walbaum，Chinook salmon）——在通过大型多鱼道水电工程（美国邦纳维尔大坝，Bonneville Dam）时的洄游行为与大坝过坝成功率相关的种内、种间移动模式。
3. 网络分析结果显示，相较于奇努克鲑，太平洋七鳃鳗的移动模式具有更高的变异性。成功过坝的奇努克鲑所形成的网络包含更多直接过坝路径，且整体移动次数更少；而未成功过坝的太平洋七鳃鳗则表现出多样的行为类型，从仅趋近单个鱼道点位到尝试所有可能的过坝路径均有分布。将网络驻留时间纳入考量后，能够更精准地识别成功与未成功过坝的太平洋七鳃鳗之间的网络结构生物学差异。
4. 上述移动模式或源于两类物种对复杂环境与内源因素的差异化行为响应：奇努克鲑属于归巢性物种（philopatric species），而太平洋七鳃鳗则为非归巢性物种（non-philopatric species），二者在穿越以鲑鱼为主要服务目标的人工构建环境时呈现出不同的行为策略。
5. 综合与应用。本案例研究表明，网络分析方法具备将基础移动生态学研究问题与人为干扰景观中的移动行为监测相结合的潜力。因此，网络分析可作为一项极具价值的工具，用于描述环境变化背景下的动物移动与行为模式，并评估针对动物移动空间复杂阻隔物的减缓措施实施成效。