Correo Electrónico
DNINFOA - SIA
Bibliotecas
Convocatorias
Identidad U.N.
Published
Updated geographical distribution of the Sunbittern (Eurypyga helias: Eurypigidae)
Distribución geográfica actualizada del Ave del sol (Eurypiga helias: Eurypigidae)
DOI:
https://doi.org/10.15446/caldasia.v44n3.95211Keywords:
Sunbittern, MaxEnt, Ecological Niche Modeling, Distribution (en)Ave del Sol, MaxEnt, Modelado de Nicho Ecológico, distribución (es)
Downloads
The Sunbittern (Eurypyga helias), despite having a wide distribution, is poorly studied and with few records in its area of distribution. Updating the distributions of species allows us to understand distributional patterns which are useful in ecology and conservation, especially for rare or threatened species. Given this situation for E. helias and the new records outside its historical range, here we present its updated distribution and a new record in the south of the Middle Magdalena Valley in Colombia. Using occurrences with preserved specimens and photographic records we build an Ecological Niche Model using the algorithm implemented in MaxEnt. The new record was found in the municipality of La Belleza, Santander in northern Colombia. Its range extends approximately 200 km south of its historical distribution. In Venezuela, it could reach the northern part near the foothills of the Cordilleras Central and Oriental. In Bolivia to the south over the Chiquitano Forest. In Central America, it extends to the lowlands near the Cordillera Central and the Cordillera Volcánica Central, and in North America to southern Mexico. The model suggests that tropical lowlands are more suitable for the species than cold temperate zones, also, the Middle Magdalena Valley is a suitable area, however, the species prefers forested and preserved areas. Some distribution patterns could be explained by different biogeographical barriers, but phylogeographical analyzes are needed to test this hypothesis.
El Ave del sol (Eurypyga helias) a pesar de tener una amplia distribución, es poco estudiada y tiene pocos registros en su área de distribución. Actualizar las distribuciones de las especies permite entender los patrones distribucionales lo cual es útil en ecología y conservación, especialmente para especies amenazadas o raras. Dada esta situación de E. helias y los nuevos registros por fuera de su distribución histórica, presentamos su distribución actualizada y un nuevo registro para el sur del Valle del Magdalena Medio en Colombia. Usando registros con especímenes preservados y reportes fotográficos construimos un Modelo de Nicho Ecológico usando el algoritmo implementado en MaxEnt. El nuevo registro se encontró en el municipio de La Belleza, Santander en el norte de Colombia. Su ámbito se extiende aproximadamente 200 km al sur de su distribución histórica. En Venezuela podría llegar a la parte norte cerca de las estribaciones de las Cordilleras Central y Oriental. En Bolivia hacia el sur sobre el Bosque Chiquitano. En Centroamérica, se extiende a las tierras bajas cerca de la Cordillera Central y la Cordillera Volcánica Central, y en Norteamérica hasta el sur de México. El modelo sugiere que las tierras bajas tropicales son más adecuadas para la especie que las zonas templadas y frías, asimismo el Valle del Magdalena Medio es un área adecuada, sin embargo, la especie prefiere áreas boscosas y conservadas. Algunos patrones de distribución podrían explicarse por diferentes barreras biogeográficas, pero se necesitan análisis filogeográficos para testear esta hipótesis.
References
Beck J, Böller M, Erhardt A, Schwanghart W. 2014. Spatial bias in the gbif database and its effect on modeling species’ geographic distributions. Ecol. Inform. 19:10–15. doi: https://doi.org/10.1016/j.ecoinf.2013.11.002 DOI: https://doi.org/10.1016/j.ecoinf.2013.11.002
Birdlife International. c2020. Eurypyga helias. The IUCN red list of threatened species 2020: e.T22691893A163625651. [Last accessed: 7 nov 2018]. https://dx.doi.org/10.2305/iucn.uk.2020-3.RLTS.t22691893a163625651.en DOI: https://doi.org/10.2305/IUCN.UK.2020-3.RLTS.T22691893A163625651.en
Blake ER. 1977. Manual of Neotropical birds. Volume 1. Spheniscidae (penguins) to Laridae (gulls and allies). Illinois: University of Chicago Press.
Bonaccorso E, Navarro-Sigüenza AG, Sánchez-González LA, Peterson AT, García-Moreno J. 2008. Genetic differentiation of the Chlorospingus ophthalmicus complex in Mexico and Central America. J. Avian. Biol. 39(3):311–321. doi: https://doi.org/10.1111/j.0908-8857.2008.04233.x DOI: https://doi.org/10.1111/j.0908-8857.2008.04233.x
Cracraft J. 2013. Avian higher-level relationships and classification: nonpasseriforms. In: Dickinson EC, Remsen JR, editors. The howard and moore complete checklist of the birds of the world. Eastbourne: Aves Press. p. 21–47.
Deignan HG. 1936. Notes on a small collection of birds from the republic of Honduras. Auk. 53(2):186–193. doi: https://doi.org/10.2307/4077278 DOI: https://doi.org/10.2307/4077278
Dickinson JL, Shirk J, Bonter D, Bonney R, Crain RL, Martin J, Phillips T, Purcell K. 2012. The current state of citizen science as a tool for ecological research and public engagement. Front. Ecol. Environ. 10(6):291–297. doi: https://doi.org/10.1890/110236 DOI: https://doi.org/10.1890/110236
Hijmans RJ, Phillips S, Leathwick J, Elith J. c2017. dismo: species distribution modeling with r. Version. 1.1-4. [Last accessed: 01 Jun 2020] http://cran.r-project.org/web/packages/dismo/index.html
Elith J, Leathwick JR. 2009. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40:677–697. doi: https://doi.org/10.1146/annurev.ecolsys.110308.120159 DOI: https://doi.org/10.1146/annurev.ecolsys.110308.120159
Etter A, Mcalpine C, Wilson K, Phinn S, Possingham H. 2006. Regional patterns of agricultural land use and deforestation in Colombia. Agric. Ecosyst. Environ. 114(2–4):369–386. doi: https://doi.org/10.1016/j.agee.2005.11.013 DOI: https://doi.org/10.1016/j.agee.2005.11.013
Fick SE, Hijmans RJ. 2017. Worldclim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37(12):4302–4315. doi: https://doi.org/10.1002/joc.5086 DOI: https://doi.org/10.1002/joc.5086
Fois M, Cuena-Lombraña A, Fenu G, Bacchetta G. 2018. Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions. Ecol. Modell. 385:124–132. doi: https://doi.org/10.1016/j.ecolmodel.2018.07.018 DOI: https://doi.org/10.1016/j.ecolmodel.2018.07.018
Garrigues R, Dean R. 2014. The birds of Costa Rica. 2 ed. New York: Cornell University Press.
Haffer J. 1975. Avifauna of northwestern Colombia, South America. Bonn. Zool. Monogr. 7:22–68.
Haverschmidt F. 1962. Notes on the feeding habits and food of some hawks of Surinam. Condor 64(2):154–158. doi: https://doi.org/10.2307/1365484 DOI: https://doi.org/10.2307/1365484
Haverschmidt F. 1968. Birds of Surinam. London: Oliver and Boyd Ltd.
Hilty SL. 2003. Birds of Venezuela. New Jersey: Princeton University Press.
Lyon BE, Fogden MP. 1989. Breeding biology of the sunbittern (Eurypyga helias) in Costa Rica. Auk. 106(3):503–507.
[IDEAM] Instituto de Hidrología, Meteorología y Estudios Ambientales. c2015. Mapa de bosque no bosque Colombia - área continental [Last accessed: 01 Aug 2020]. http://www.siac.gov.co/catalogo-de-mapas
Muscarella R, Galante PJ, Soley-Guardia M, Boria RA, Kass JM, Uriarte M. 2014. ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for maxent ecological niche models. Methods. Ecol. Evol. 5(11):1198–1205. doi: https://doi.org/10.1111/2041-210X.12261 DOI: https://doi.org/10.1111/2041-210X.12261
Peterson RT, Chalif EL. 2008. A field guide to Mexican birds: field marks of all species found in Mexico, Guatemala and Belize. Boston: Houghton & Mifflin.
Peterson AT, Papeş M, Soberón J. 2008. Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol. Modell. 213(1):63–72. doi: https://doi.org/10.1016/j.ecolmodel.2007.11.008 DOI: https://doi.org/10.1016/j.ecolmodel.2007.11.008
Phillips SJ, Dudík M, Schapire RE. 2004. A maximum entropy approach to species distribution modeling. Proceedings of the twenty-first international conference on machine learning. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/1015330.1015412 DOI: https://doi.org/10.1145/1015330.1015412
Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Modell. 190(3–4):231–259. doi: https://doi.org/10.1016/j.ecolmodel.2005.03.026 DOI: https://doi.org/10.1016/j.ecolmodel.2005.03.026
Phillips SJ, Dudík M, Schapire RE. c2017. Maxent software for modeling species niches and distributions. Version 3.4.4. [Last accessed: 01 Jul 2020] http://biodiversityinformatics.amnh.org/open_source/maxent/
Ridgely RS, Gwynne JA. 1992. A guide to the birds of Panama with Costa Rica, Nicaragua, and Honduras. 2 ed. New Jersey: Princeton University Press.
Schulenberg TS, Stotz DF, Lane DF, O’Neill JP, Parker III TA. 2007. Birds of Peru. New Jersey: Princeton University Press.
Slud P. 1964. The birds of Costa Rica: Distribution and ecology. Bull. Am. Mus. Nat. Hist. 120:1–430.
Spaans AL, Ottema OH, Ribot JHJ. 2018. Field guide to the birds of Suriname. 2 ed. Koninklijke: Brill. DOI: https://doi.org/10.1163/9789004352339
Stiles FG, Skutch AF. 1989. Guide to the birds of Costa Rica. 1 ed. New York: Comistock.
Torres-Morales L. 2019. Límites de distribución actual de Sturnira hondurensis. Rev. Mex. Biodivers. 90:e902644. doi: https://doi.org/10.22201/ib.20078706e.2019.90.2644 DOI: https://doi.org/10.22201/ib.20078706e.2019.90.2644
Urbina-Cardona JN, Flores-Villela O. 2010. Ecological-niche modeling and prioritization of conservation-area networks for Mexican herpetofauna. Conserv. Biol. 24(4):1031–1041. doi: https://doi.org/10.1111/j.1523-1739.2009.01432.x DOI: https://doi.org/10.1111/j.1523-1739.2009.01432.x
Van der Wal R, Anderson H, Robinson A, Sharma N, Mellish C, Roberts S, Siddharthan A. 2015. Mapping species distributions: A comparison of skilled naturalist and lay citizen science recording. Ambio. 44(4):584–600. doi: https://doi.org/10.1007/s13280-015-0709-x DOI: https://doi.org/10.1007/s13280-015-0709-x
How to Cite
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
CrossRef Cited-by
Dimensions
PlumX
- Captures
- Mendeley - Readers: 8
- Mendeley - Readers: 1
- Mentions
- News: 1
Article abstract page views
Downloads
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
