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dc.date.available
2024-08-13T11:59:45Z
dc.identifier.citation
Cossa, Natalia Andrea; Bocelli, Mariana Lucía; (2024): Environmental drivers of regional variations in Upland Goose (Chloephaga picta) color morphs. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/242388
dc.identifier.uri
http://hdl.handle.net/11336/242388
dc.description.abstract
The color morphs in the Upland Goose, an endemic bird of Argentina and Chile, refer to variations in the plumage coloration in males, displaying either barred, white, or intermediate combinations of the two. These color variations can be influenced by environmental factors and, consequently, may be associated with specific geographical regions. The aim of this work was to determine the extent of Upland Goose color morphs during the breeding season and to identify potential environmental factors contributing to their differences. We compiled data from citizen science platforms and personal observations, identifying 880 records spanning from 2000-2023, covering the entire Upland Goose breeding area. Environmental variables, such as temperature, precipitation, and NDVI, and the maximum entropy modeling method were used to predict the distribution of different color morphs based on the occurrence data. Upland Goose color morphs were not uniformly distributed during the breeding season. The white morph occupied the broadest habitat suitability range, followed by the intermediate morph and, finally, by the barred morph, primarily found in the southern part of Tierra del Fuego and exhibiting allopatry with the white morph. Habitat suitability predictions suggest that barred and intermediate morphs occupy colder and more humid regions with higher precipitation compared to the white morph. These results are particularly valuable for this species given its “threatened” status in Argentina and its current global population showing a declining trend, as morphs may represent genetic variants with potential unique local adaptations and preserving this intraespecific variability is crucial for the species' conservation.
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.title
Environmental drivers of regional variations in Upland Goose (Chloephaga picta) color morphs
dc.type
dataset
dc.date.updated
2024-08-13T10:57:12Z
dc.description.fil
Fil: Cossa, Natalia Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Bocelli, Mariana Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
dc.datacite.PublicationYear
2024
dc.datacite.Creator
Cossa, Natalia Andrea
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dc.datacite.Creator
Bocelli, Mariana Lucía
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dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas
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dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente
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dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.subject
Ecología
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dc.datacite.subject
Ciencias Biológicas
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dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS
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dc.datacite.date
01/10/2023-31/12/2023
dc.datacite.DateType
Creado
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dc.datacite.language
eng
dc.datacite.version
1.0
dc.datacite.description
We collected existing information on the geographic distribution of the different Upland Goose morphs. We obtained citizen science data from iNaturalist (www.inaturalist.org, downloaded from GBIF.org) and EcoRegistros (www.ecoregistros.org). We searched for Upland Goose males’ photos of the October-March period (to include only sightings during the breeding season and exclude migration and wintering season). This work focuses on the migratory mainland polymorphic subspecies (C. p. picta), as the non-migratory subspecies from Malvinas/Falkland Islands (C. p. leucoptera) is monomorphic and faces a different scenario, with low climate variability across the island. For these reasons, we excluded Malvinas/Falkland Islands records. For each photo, we extracted the geographical coordinates of the sighting and the presence of males exhibiting white (completely white chest), intermediate (partially white and partially barred chest) and/or barred (completely barred chest) plumage patterns. We also included personal sightings of the year 2023 from field surveys conducted for another study in Neuquén, Río Negro and Chubut provinces (Argentina). In total, we included 880 records in the analysis (636 from iNaturalist, 216 from EcoRegistros and 28 personal sightings). Available records spanned from the year 2000 to 2023. Respective numbers of occurrence records are 516, 113 and 251 for white, intermediate and barred morphs respectively (Figure 1). We categorized the records by morph and integrated them into a Geographic Information System (QGIS 3.26.1, QGIS.org 2023). We then established a 1 x 1 km grid, aligning with the spatial resolution of approximately 1 km2 for the environmental data used in this study. Within each morph type, we retained only grid cells containing at least one record and computed the cell centroids. This process allowed us to remove duplicates and streamline records from areas with extensive sampling. While we acknowledge that this process may not entirely eradicate bias, considering the limited movement of sheldgeese during the breeding season (averaging 0.76 ± 0.69 km per day, Pedrana et al. 2018), we believe it substantially mitigates it. Centroids coordinates were used as inputs for the models. Total final number of occurrence records was 727 (417, 100 and 210 for white, intermediate and barred morphs respectively).
dc.datacite.DescriptionType
Métodos
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dc.subject.keyword
birds
dc.subject.keyword
Patagonia
dc.subject.keyword
conservation
dc.subject.keyword
citizen science
dc.subject.keyword
MaxEnt
dc.datacite.resourceTypeGeneral
dataset
dc.conicet.datoinvestigacionid
19538
dc.datacite.geolocation
Patagonia (Argentina, Chile): -37.237856, -73.996907; -37.237856, -59.115247; -55.926790, -63.638548; -55.799873, -74.946800;
dc.datacite.formatedDate
2023
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