Using citizen science monitoring data in species distribution models to inform isotopic assignment of migratory connectivity in wetland birds Article Swipe
Auriel M. V. Fournier
,
Kiel L. Drake
,
Douglas C. Tozer
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1101/144527
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1101/144527
Stable isotopes have been used to estimate migratory connectivity in many species. Estimates are often greatly improved when coupled with species distribution models (SDMs), which temper estimates in relation to occurrence. SDMs can be constructed using from point locality data from a variety of sources including extensive monitoring data typically collected by citizen scientists. However, one potential issue with SDM is that these data oven have sampling bias. To avoid this potential bias, an approach using SDMs based on marsh bird monitoring program data collected by citizen scientists and other participants following protocols specifically designed to maximize detections of species of interest at locations representative of the species range. We then used the SDMs to refine isotopic assignments of breeding areas of autumn-migrating and wintering Sora (Porzana Carolina) , Virginia Rails (Rallus limicola) , and Yellow Rails (Coturnicops noveboracensis) based on feathers collected from individuals caught at various locations in the United States from Minnesota south to Louisiana and South Carolina. Sora were assigned to an area that included much of the western U.S. and prairie Canada, covering parts of the Pacific, Central, and Mississippi Flyways. Yellow Rails were assigned to a broad area along Hudson and James Bay in northern Manitoba and Ontario, as well as smaller parts of Quebec, Minnesota, Wisconsin, and Michigan, including parts of the Mississippi and Atlantic Flyways. Virginia Rails were from several discrete areas, including parts of Colorado, New Mexico, the central valley of California, and southern Saskatchewan and Manitoba in the Pacific and Central Flyways. Our study demonstrates extensive data from organized citizen science monitoring programs are especially useful for improving isotopic assignments of migratory connectivity in birds, which can ultimately lead to better informed management decisions and conservation actions.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/144527
- https://www.biorxiv.org/content/biorxiv/early/2017/06/01/144527.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2623334080
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2623334080Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/144527Digital Object Identifier
- Title
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Using citizen science monitoring data in species distribution models to inform isotopic assignment of migratory connectivity in wetland birdsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-06-01Full publication date if available
- Authors
-
Auriel M. V. Fournier, Kiel L. Drake, Douglas C. TozerList of authors in order
- Landing page
-
https://doi.org/10.1101/144527Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2017/06/01/144527.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2017/06/01/144527.full.pdfDirect OA link when available
- Concepts
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Geography, Marsh, Range (aeronautics), Bay, Wetland, Ecology, Distribution (mathematics), Archaeology, Physical geography, Environmental science, Biology, Engineering, Aerospace engineering, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2022: 1, 2020: 1, 2019: 1Per-year citation counts (last 5 years)
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44Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5074256008, https://openalex.org/A5044050824, https://openalex.org/A5059601773 |
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| corresponding_institution_ids | https://openalex.org/I168081710, https://openalex.org/I78715868, https://openalex.org/I99041443 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
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| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.67443103 |
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| citation_normalized_percentile.is_in_top_10_percent | False |