Scaling migrations to communities: An empirical case of migration network in the Arctic

• Published in: Frontiers in Ecology and Evolution
• Main Authors: Louis Moisan, Dominique Gravel, Pierre Legagneux, Gilles Gauthier, Don-Jean Léandri-Breton, Marius Somveille, Jean-François Therrien, Jean-François Lamarre, Joël Bêty
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2023
• Subjects: seasonal migration; meta-community; meta-ecosystem; migratory pathways; community migration network; ecological network; Evolution; QH359-425; Ecology; QH540-549.5; Arctic; Bylot Island
• Online Access: https://doi.org/10.3389/fevo.2022.1077260; https://doaj.org/article/5cb43ce02e6e407dbd0ab0ef0eae2683

Seasonal migrants transport energy, nutrients, contaminants, parasites and diseases, while also connecting distant food webs between communities and ecosystems, which contributes to structuring meta-communities and meta-ecosystems. However, we currently lack a framework to characterize the structure of the spatial connections maintained by all migratory species reproducing or wintering in a given community. Here, we use a network approach to represent and characterize migratory pathways at the community level and provide an empirical description of this pattern from a High-Arctic terrestrial community. We define community migration networks as multipartite networks representing different biogeographic regions connected with a focal community through the seasonal movements of its migratory species. We focus on the Bylot Island High-Arctic terrestrial community, a summer breeding ground for several migratory species. We define the non-breeding range of each species using tracking devices, or range maps refined by flyways and habitat types. We show that the migratory species breeding on Bylot Island are found across hundreds of ecoregions on several continents during the non-breeding period and present a low spatial overlap. The migratory species are divided into groups associated with different sets of ecoregions. The non-random structure observed in our empirical community migration network suggests evolutionary and geographic constraints as well as ecological factors act to shape migrations at the community level. Overall, our study provides a simple and generalizable framework as a starting point to better integrate migrations at the community level. Our framework is a far-reaching tool that could be adapted to address the seasonal transport of energy, contaminants, parasites and diseases in ecosystems, as well as trophic interactions in communities with migratory species.