发表机构
Racah Institute of Physics, The Hebrew University of Jerusalem; Movement Ecology Lab, Department of Ecology, Evolution and Behavior, Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem; Minerva Center for Movement Ecology, The Hebrew University of Jerusalem（耶路撒冷希伯来大学拉卡物理研究所; 耶路撒冷希伯来大学亚历山大·西尔伯曼生命科学学院生态、进化与行为系运动生态学实验室; 耶路撒冷希伯来大学明尼瓦运动生态学中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究开发带局部重分配和多边形位点构建的贪心近邻聚类方法，分析死海地区两种同域渡鸦的九年GPS数据，发现二者在新位点发现率、访问集中度及熵值上存在显著种间差异，为推断运动记忆提供了可靠框架。
AI 中文摘要
运动生态学的核心挑战之一是从原始追踪数据中描述具有生态意义的栖息位点，原因在于采样频率存在异质性且位点边界不确定。本研究开发了一种带局部重分配和基于多边形位点构建的贪心近邻聚类方法，该方法为每个被追踪个体生成带时间戳的位点访问序列，并将其应用于死海地区两种同域分布渡鸦物种的九年GPS数据——扇尾渡鸦（*Corvus rhipidurus*）和棕颈渡鸦（*C. ruficollis*）。利用得到的访问序列，研究人员使用非马尔可夫个体移动模型（IMM）量化递归模式，该模型捕捉了新位点发现率β与优先返回率α之间的平衡。推断出的动态与IMM预测一致，并揭示了明显的种间差异：棕颈渡鸦以更高的速率持续发现新位点（β更低），而扇尾渡鸦在排名靠前的位点中表现出更集中的访问。熵分析进一步区分了这两个物种，棕颈渡鸦表现出更高的位点熵和位点间转移的条件熵。这些结果共同提供了一个描述运动策略种间差异的可靠框架，该框架可用于从GPS数据推断记忆，并表明两种密切相关的同域物种具有不同的空间利用策略。
英文摘要
A central challenge in movement ecology is to describe ecologically meaningful residence sites from raw tracking data due to heterogeneous sampling frequency and uncertain site boundaries. Here, we develop a greedy nearest-neighbor clustering approach with local reassignment and polygon-based site construction that generates timestamped sequences of site visits for each tracked individual, and apply it to nine years of GPS data from two sympatric raven species in the Dead Sea region---the Fan-tailed Raven (\emph{Corvus rhipidurus}) and the Brown-necked Raven (\emph{C. ruficollis}). Using the resulting visitation sequences, we quantify recursion patterns using the non-Markovian individual mobility model (IMM), which captures the balance between novel-site discovery $β$ and preferential return $α$. The inferred dynamics are consistent with IMM predictions and reveal clear interspecific differences: Brown-necked Ravens continue to discover new sites at a higher rate (lower $β$), whereas Fan-tailed Ravens show a steeper concentration of visits among top-ranked sites. Entropy analyses further separate the species, with Brown-necked Ravens exhibiting higher site entropy and higher conditional entropy of site-to-site transitions. Together, these results provide a robust framework for describing interspecific differences in movement strategies that can be used to infer memory from GPS data and suggest distinct space-use strategies in two closely related sympatric species.
Comments14 pages, 6 figures, 12 supplementary figures. To appear in Physical Review Research (2026)
