Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere
Abstract Migratory connectivity describes the spatial linkage among migrating individuals through time. Accounting for it is necessary for full annual cycle conservation planning, to avoid uneven protection leading to overall population declines. However, conventional methods used to study migratory...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-04-01
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| Series: | Ecosphere |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ecs2.4011 |
| _version_ | 1818550009947226112 |
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| author | Jaimie G. Vincent Richard Schuster Scott Wilson Daniel Fink Joseph R. Bennett |
| author_facet | Jaimie G. Vincent Richard Schuster Scott Wilson Daniel Fink Joseph R. Bennett |
| author_sort | Jaimie G. Vincent |
| collection | DOAJ |
| description | Abstract Migratory connectivity describes the spatial linkage among migrating individuals through time. Accounting for it is necessary for full annual cycle conservation planning, to avoid uneven protection leading to overall population declines. However, conventional methods used to study migratory connectivity usually demand substantial fiscal and human resources. We present a methodology that infers patterns of migratory connectivity for songbirds using relative abundance models created from eBird, a global community science program. We compare our inferences with previously described patterns of migratory connectivity for two species assumed to exhibit broadscale parallel migration strategies: wood thrush (Hylocichla mustelina) and Wilson's warbler (Cardellina pusilla). Initial findings suggest that our method has the potential to be a rapid and inexpensive way to infer broad patterns of connectivity for species that do not engage in leapfrog migration nor deviate much from parallel migration. Our flexible framework can be used to guide sampling designs for studies of migratory connectivity and to generate hypotheses for species in need of urgent conservation planning for which migratory connectivity has not yet been established. |
| first_indexed | 2024-12-12T08:40:44Z |
| format | Article |
| id | doaj.art-863db9447ed9459395a7fec9d8f8f267 |
| institution | Directory Open Access Journal |
| issn | 2150-8925 |
| language | English |
| last_indexed | 2024-12-12T08:40:44Z |
| publishDate | 2022-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecosphere |
| spelling | doaj.art-863db9447ed9459395a7fec9d8f8f2672022-12-22T00:30:47ZengWileyEcosphere2150-89252022-04-01134n/an/a10.1002/ecs2.4011Clustering community science data to infer songbird migratory connectivity in the Western HemisphereJaimie G. Vincent0Richard Schuster1Scott Wilson2Daniel Fink3Joseph R. Bennett4Department of Biology Carleton University Ottawa Ontario CanadaDepartment of Biology Carleton University Ottawa Ontario CanadaDepartment of Biology Carleton University Ottawa Ontario CanadaCornell Lab of Ornithology Ithaca New York USADepartment of Biology Carleton University Ottawa Ontario CanadaAbstract Migratory connectivity describes the spatial linkage among migrating individuals through time. Accounting for it is necessary for full annual cycle conservation planning, to avoid uneven protection leading to overall population declines. However, conventional methods used to study migratory connectivity usually demand substantial fiscal and human resources. We present a methodology that infers patterns of migratory connectivity for songbirds using relative abundance models created from eBird, a global community science program. We compare our inferences with previously described patterns of migratory connectivity for two species assumed to exhibit broadscale parallel migration strategies: wood thrush (Hylocichla mustelina) and Wilson's warbler (Cardellina pusilla). Initial findings suggest that our method has the potential to be a rapid and inexpensive way to infer broad patterns of connectivity for species that do not engage in leapfrog migration nor deviate much from parallel migration. Our flexible framework can be used to guide sampling designs for studies of migratory connectivity and to generate hypotheses for species in need of urgent conservation planning for which migratory connectivity has not yet been established.https://doi.org/10.1002/ecs2.4011Bayesian analysisbirdscommunity scienceconnectivityconservationmigration |
| spellingShingle | Jaimie G. Vincent Richard Schuster Scott Wilson Daniel Fink Joseph R. Bennett Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere Ecosphere Bayesian analysis birds community science connectivity conservation migration |
| title | Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere |
| title_full | Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere |
| title_fullStr | Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere |
| title_full_unstemmed | Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere |
| title_short | Clustering community science data to infer songbird migratory connectivity in the Western Hemisphere |
| title_sort | clustering community science data to infer songbird migratory connectivity in the western hemisphere |
| topic | Bayesian analysis birds community science connectivity conservation migration |
| url | https://doi.org/10.1002/ecs2.4011 |
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