Moisan, Louis, Gravel, Dominique, Legagneux, Pierre, Gauthier, Gilles, Léandri-Breton, Don-Jean, Somveille, Marius ORCID: https://orcid.org/0000-0002-6868-5080, Therrien, Jean-François, Lamarre, Jean-François and Bêty, Joël
(2023)
Scaling migrations to communities: An empirical case of migration network in the Arctic.
Frontiers in Ecology and Evolution, 10.
ISSN 2296-701X
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Abstract
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.
Item Type: | Article |
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Additional Information: | Data availability statement: Publicly available datasets were analyzed in this study. The data can be found here: eBird range maps: Long-tailed Jaegers: https://www.movebank.org Study ID = 1978212368. Common-ringed plovers: https://www.movebank.org, Study ID = 849807214. American Golden-Plovers: https://www.movebank.org, Study ID = 565443493. Snowy owls: https://www.movebank.org, Study ID = 12112706. King eiders: https://www.movebank.org, Study ID = 43747715. Terrestrial Ecoregions of the World: https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world. Freshwater Ecoregions of the World: https://www.feow.org/download. Marine and Coastal Ecoregions of the World: https://www.worldwildlife.org/publications/marine-ecoregions-of-the-world-a-bioregionalization-of-coastal-and-shelf-areas. shelf-areas Major Flyways of the World: https://wpp.wetlands.org/downloads/downloads. Scripts for data manipulation, analysis, and visualization can be found at: https://github.com/Louis-Moisan/Community_Migration_Networks. All other data are available on request from the corresponding author. Funding Information: This project was funded by (alphabetical order): Arctic Goose Joint Venture, Arctic Net, BIOS2 (NSERC CREATE Training Programs), Canadian Wildlife Service, EnviroNord (NSERC CREATE Training Program in Northern Environmental Sciences), Fonds de recherche du Québec - Nature et technologies (FRQNT), Indigenous and Northern Affairs Canada, Natural Resources Canada (PCSP), Natural Science and Engineering Research Council of Canada (NSERC), Nunavut Wildlife Management Board, Polar Knowledge Canada, Université Laval, Université du Québec à Rimouski and Centre d’Études Nordiques. |
Uncontrolled Keywords: | arctic,bipartite network,community migration network,ecological network,meta-community,meta-ecosystem,migratory pathways,seasonal migration,ecology, evolution, behavior and systematics,ecology,sdg 15 - life on land ,/dk/atira/pure/subjectarea/asjc/1100/1105 |
Faculty \ School: | Faculty of Science > School of Environmental Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 22 Jul 2024 14:31 |
Last Modified: | 31 Jul 2024 18:27 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/95993 |
DOI: | 10.3389/fevo.2022.1077260 |
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