coastalNet, global estimates of coastal oceanographic connectivity

The coastalNet R package offers a suite of tools for the analysis of oceanographic connectivity and its implications for marine biodiversity. Developed to address the complex dynamics of how ocean currents influence the distribution, evolution, and conservation of marine species, coastalNet leverages high-resolution ocean current data, biophysical modeling, and graph theory to offer a comprehensive toolkit for marine ecology research.The integration of biophysical modeling with graph theory stands at the core of coastalNet's approach. By simulating the dispersal routes of marine species and applying graph theory, coastalNet identifies critical connectivity hubs and pathways, offering realistic estimates of population connectivity. This methodological innovation allows for a nuanced understanding of marine biodiversity dynamics, challenging simplistic predictive models and unveiling the complex relationships between ocean currents and genetic structuring across marine species distributions.coastalNet R包（coastalNet R package）提供了一套用于海洋连通性分析及其对海洋生物多样性影响的工具集。该工具包专为解析洋流如何影响海洋物种的分布、演化与保护的复杂动态过程而开发，依托高分辨率洋流数据、生物物理模拟（biophysical modeling）与图论（graph theory），为海洋生态学研究提供一套全面的分析工具集。生物物理模拟与图论的融合是coastalNet R包分析方法的核心所在。通过模拟海洋物种的扩散路径并应用图论，coastalNet R包可识别关键的连通性枢纽与通路，进而对种群连通性做出贴合实际的估算。这一方法学创新使得研究者能够精细化理解海洋生物多样性的动态变化，既对简化式预测模型提出了挑战，也揭示了洋流与海洋物种分布范围内遗传结构之间的复杂关联。