Data from: Identification of migratory bird flyways in North America using community detection on biological networks
Migratory behavior of waterfowl populations in North America has traditionally been broadly characterized by four north-south flyways, and these flyways have been central to the management of waterfowl populations for more than 80 years. However, previous flyway characterizations are not easily upda...
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ftdryad:oai:v1.datadryad.org:10255/dryad.97974 2023-05-15T15:46:20+02:00 Data from: Identification of migratory bird flyways in North America using community detection on biological networks Buhnerkempe, Michael G. Webb, Colleen T. Merton, Andrew A. Buhnerkempe, John E. Givens, Geof H. Miller, Ryan S. Hoeting, Jennifer A. North America 2015-10-08T19:41:31Z http://hdl.handle.net/10255/dryad.97974 https://doi.org/10.5061/dryad.qs552 unknown doi:10.5061/dryad.qs552/1 doi:10.1890/15-0934 doi:10.5061/dryad.qs552 Buhnerkempe MG, Webb CT, Merton AA, Buhnerkempe JE, Givens GH, Miller RS, Hoeting JA (2016) Identification of migratory bird flyways in North America using community detection on biological networks. Ecological Applications 26(3): 740-751. http://hdl.handle.net/10255/dryad.97974 network community detection consolidation factor waterfowl migration flyways Article 2015 ftdryad https://doi.org/10.5061/dryad.qs552 https://doi.org/10.5061/dryad.qs552/1 https://doi.org/10.1890/15-0934 2020-01-01T15:25:04Z Migratory behavior of waterfowl populations in North America has traditionally been broadly characterized by four north-south flyways, and these flyways have been central to the management of waterfowl populations for more than 80 years. However, previous flyway characterizations are not easily updated with current bird movement data and fail to provide assessments of the importance of specific geographical regions to the identification of flyways. Here, we developed a network model of migratory movement for four waterfowl species —mallard (Anas platyrhnchos), northern pintail (A. acuta), American green-winged teal (A. carolinensis), and Canada goose (Branta canadensis) — in North America using bird band and recovery data. We then identified migratory flyways using a community detection algorithm and characterize the importance of smaller geographic regions in identifying flyways using a novel metric, the consolidation factor. We identified four main flyways for mallards, northern pintails, and American green-winged teal with the flyway identification in Canada geese exhibiting higher complexity. For mallards, flyways were relatively consistent through time. However, consolidation factors revealed that for mallards and green-winged teal the presumptive Mississippi flyway was potentially a zone of high mixing between other flyways. Our results demonstrate that the network approach provides a robust method for flyway identification that is widely applicable given the relatively minimal data requirements and is easily updated with future movement data to reflect changes in flyway definitions and management goals. Article in Journal/Newspaper Branta canadensis Canada Goose Dryad Digital Repository (Duke University) Canada |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
network community detection consolidation factor waterfowl migration flyways |
spellingShingle |
network community detection consolidation factor waterfowl migration flyways Buhnerkempe, Michael G. Webb, Colleen T. Merton, Andrew A. Buhnerkempe, John E. Givens, Geof H. Miller, Ryan S. Hoeting, Jennifer A. Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
topic_facet |
network community detection consolidation factor waterfowl migration flyways |
description |
Migratory behavior of waterfowl populations in North America has traditionally been broadly characterized by four north-south flyways, and these flyways have been central to the management of waterfowl populations for more than 80 years. However, previous flyway characterizations are not easily updated with current bird movement data and fail to provide assessments of the importance of specific geographical regions to the identification of flyways. Here, we developed a network model of migratory movement for four waterfowl species —mallard (Anas platyrhnchos), northern pintail (A. acuta), American green-winged teal (A. carolinensis), and Canada goose (Branta canadensis) — in North America using bird band and recovery data. We then identified migratory flyways using a community detection algorithm and characterize the importance of smaller geographic regions in identifying flyways using a novel metric, the consolidation factor. We identified four main flyways for mallards, northern pintails, and American green-winged teal with the flyway identification in Canada geese exhibiting higher complexity. For mallards, flyways were relatively consistent through time. However, consolidation factors revealed that for mallards and green-winged teal the presumptive Mississippi flyway was potentially a zone of high mixing between other flyways. Our results demonstrate that the network approach provides a robust method for flyway identification that is widely applicable given the relatively minimal data requirements and is easily updated with future movement data to reflect changes in flyway definitions and management goals. |
format |
Article in Journal/Newspaper |
author |
Buhnerkempe, Michael G. Webb, Colleen T. Merton, Andrew A. Buhnerkempe, John E. Givens, Geof H. Miller, Ryan S. Hoeting, Jennifer A. |
author_facet |
Buhnerkempe, Michael G. Webb, Colleen T. Merton, Andrew A. Buhnerkempe, John E. Givens, Geof H. Miller, Ryan S. Hoeting, Jennifer A. |
author_sort |
Buhnerkempe, Michael G. |
title |
Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
title_short |
Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
title_full |
Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
title_fullStr |
Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
title_full_unstemmed |
Data from: Identification of migratory bird flyways in North America using community detection on biological networks |
title_sort |
data from: identification of migratory bird flyways in north america using community detection on biological networks |
publishDate |
2015 |
url |
http://hdl.handle.net/10255/dryad.97974 https://doi.org/10.5061/dryad.qs552 |
op_coverage |
North America |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Branta canadensis Canada Goose |
genre_facet |
Branta canadensis Canada Goose |
op_relation |
doi:10.5061/dryad.qs552/1 doi:10.1890/15-0934 doi:10.5061/dryad.qs552 Buhnerkempe MG, Webb CT, Merton AA, Buhnerkempe JE, Givens GH, Miller RS, Hoeting JA (2016) Identification of migratory bird flyways in North America using community detection on biological networks. Ecological Applications 26(3): 740-751. http://hdl.handle.net/10255/dryad.97974 |
op_doi |
https://doi.org/10.5061/dryad.qs552 https://doi.org/10.5061/dryad.qs552/1 https://doi.org/10.1890/15-0934 |
_version_ |
1766381030161252352 |