Interconnected habitats are essential for migratory species to complete their life cycles. Traditional habitat connectivity assessment methods often neglect temporal interactions, changes over time, as well as the heterogeneous ecological roles of internal habitat components. These limitations hinder the effectiveness of conservation efforts. In this study, we developed a spatiotemporal connectivity - component effects framework to assess habitat distribution, spatiotemporal connectivity, component-level contributions and generated spatially optimized conservation strategies for Swan Goose (Anser cygnoides) along the East Asian-Australasian Flyway. Our results reveal a projected 36%–46% reduction in suitable habitat for Swan Geese under future climate (2050 SSP126/245/585) scenarios compared with that in 2020. Habitat connectivity declined throughout the entire breeding migration continuum, and connectivity levels were generally highest during spring migration, followed by the breeding and wintering stages. Component analysis revealed that habitat connectivity is influenced more by direct linkages between habitat patches (52.4%–72.1%) and stepping stones (13.1%–27.2%) than by internal factors such as patch area (7.7%–24.4%). Under climate change, the contribution of direct connectivity is projected to decrease significantly by 22.0%–39.5%, and the contribution of stepping stones is expected to increase markedly by 26.6%–55.4%. We recommend prioritizing the conservation of high-connectivity habitats (including the middle-lower Yangtze River wetlands, the Yellow-Bohai Sea coastal wetlands, and the Mongolian Plateau wetlands) and key connectivity facilitators/stepping stones (the Hangzhou Bay coastal wetlands, the West Korea Bay coastal wetlands, and the Selenga River Basin wetlands). This adaptable methodology provides a scalable technical paradigm for enhancing global biodiversity conservation efforts for migratory species.
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