Modeling the potential distribution to present and future of the poorly known species Xenohyla eugenioi Caramaschi, 1998 (Anura: Hylidae) with findings about its distribution, natural history, and conservation

Authors

  • Hugo Andrade Universidade Federal de Sergipe (UFS), Departamento de Biociências (DBCI), Laboratório de Biologia e Ecologia de Vertebrados (LABEV). Itabaiana, SE, Brasil; Universidade Estadual de Santa Cruz (UESC), Departamento de Ciências Biológicas (DCB), Laboratório de Herpetologia. Ilhéus, BA, Brasil. https://orcid.org/0000-0003-4951-6094
  • Eduardo José dos Reis Dias Universidade Federal de Sergipe (UFS), Departamento de Biociências (DBCI), Laboratório de Biologia e Ecologia de Vertebrados (LABEV). Itabaiana, SE, Brasil; Universidade Federal de Sergipe (UFS), Programa de Pós-Graduação em Ciências Naturais (PPGCN). Itabaiana, SE, Brasil. https://orcid.org/0000-0001-9240-5774
  • Rony Peterson Santos Almeida Universidade Federal de Sergipe (UFS), Departamento de Biociências (DBCI), Laboratório de Biologia e Ecologia de Vertebrados (LABEV). Itabaiana, SE, Brasil; Museu Paraense “Emílio Goeldi” (MPEG), Campus de Pesquisa, Coordenação de Ciências da Terra e Ecologia (COCTE). Belém, PA, Brasil. https://orcid.org/0000-0003-0681-0357
  • Bruno Bove da Costa Universidade Federal do Rio de Janeiro (UFRJ), Instituto de Biologia (IB), Departamento de Zoologia, Laboratório de Anfíbios e Répteis. Rio de Janeiro, RJ, Brasil. In memorian.. https://orcid.org/0000-0002-3957-7697
  • Matheus Oliveira Neves Universidade Federal de Mato Grosso (UFMT), Instituto de Biociências (IB), Centro de Biodiversidade, Programa de Pós-Graduação em Zoologia (PPGZOO). Cuiabá, MT, Brasil. https://orcid.org/0000-0002-6848-2099

DOI:

https://doi.org/10.11606/1807-0205/2024.64.002

Keywords:

Anura, Climate change, Extinction, Ecological Niche Modeling, Species distribution model

Abstract

The distribution of anurans is conditioned by historical factors and ecological drivers. Thus, Species Distribution Models are important tools to provide information on the potential distribution of the species and determine where they will be requirements in future. Here our aim was modeling the current and future distribution and discussing about conservation of Xenohyla eugenioi. We searched for occurrence records through literature and scientific collections data. This species has approximately 650 km in straight line between the extreme localities, occurring mainly in bromeliads near to water bodies. he Ensemble method indicates the most probable areas of occurrence were over ecotonal range between Caatinga and Atlantic Forest and our projections have showed suitable conditions to highlands (up to 1.000 m). While, in the future, is expected erosion of the X. eugenioi populations, due climatic changes, which reinforce the caution to conservation of this poorly known species and necessity of studies about its ecology, natural history and distribution. Moreover, we hope that this work will contribute to the discovery of new records, characterizing the narrower niche space than this species may actually inhabit.

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References

Allouche, O.; Tsoar, A. & Kadmon, R. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 4(6)3: 1223-1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x.

Almeida, R.P.S.; Andrade, H.; Caramaschi, U. & Dias, E.J.R. 2015. Xenohyla eugenioi Caramaschi, 1998 (Amphibia: Anura: Hylidae): geographic distribution and new record from the state of Sergipe, northeastern Brazil. Check List, 11(15): 1744. https://doi.org/10.15560/11.5.1744.

Araújo, M.B.; Alagador, D.; Cabeza, M.; Nogués-Bravo, D. & Thuiller, W. 2011. Climate change threatens European conservation areas. Ecology Letters, 14(5): 484-492. https://doi.org/10.1111/j.1461-0248.2011.01610.x.

Bastos, R.P.; Martins, M.R.; Bataus, Y.S.L.; Côrtes, L.G.; Uhlig, V.M.; Almeida, A.P.L.; Canedo, C.C.; Caramaschi, U.; Costa, C.O.R.; Ferrante, L.; Ferreira, R.B.; Garcia, P.C.A.; Gasparini, J.L.; Hepp, F.; Moraes, R.L.; Leite, F.S.F.; Martins, I.A.; Nascimento, L.B.; Santana, D.J.; Filho, I.S.N.S.; Soares, T.S.; Toledo, L.F. 2023a. Xenohyla truncata (Izecksohn, 1959). Sistema de Avaliação do Risco de Extinção da Biodiversidade – SALVE. Available: https://doi.org/10.37002/salve.ficha.21902. Access: 08/12/2023.

Bastos, R.P.; Martins, M.R.; Guidorizzi, C.E.; Andrade, S.P.; Bataus, Y.S.L.; Júnior, R.V.G.; Andrade, G.V.; Ávila, R.W.; Colombo, P.; Dias, I.R.; Kokubum, M.N.C.; Lima, D.C.; Lingnau, R.; Lisboa, B.S.; Loebmann, D.; Lucas, E.; Machado, I.F.; Júnior, A.M.; Martins, M.B.; Moura, G.J.B.; Napoli, M.F.; Oliveira, S.N.; Ribeiro, L.F.; Tinôco, M.S.; Zank, C. 2023b. Xenohyla eugenioi Caramaschi, 1998. Sistema de Avaliação do Risco de Extinção da Biodiversidade – SALVE. Available: https://doi.org/10.37002/salve.ficha.17600. Access: 08/12/2023.

Bertoluci, J. & Rodrigues, M.T. 2002. Utilização de habitats reprodutivos e micro-habitats de vocalização em uma taxocenose de anuros (Amphibia) da Mata Atlântica do Sudeste do Brasil. Papéis Avulsos de Zoologia, São Paulo, 42: 287-297.

Bini, L.M.; Diniz-Filho, J.A.; Rangel, T.F.L.V.B.; Bastos, R.P. & Pinto, M.P. 2006. Challenging Wallacean and Linnean shortfalls: Knowledge gradients and conservation planning in a biodiversity hotspot. Diversity and Distribution, 12(6): 475-482. https://doi.org/10.1111/j.1366-9516.2006.00286.x.

Bivand, R.; Keitt, T. & Rowlingson, B. 2023. rgdal: Bindings for the ‘Geospatial’ Data Abstraction Library_. R package version 1.6-6. https://CRAN.R-project.org/package=rgdal.

Breiman, L.; Friedman, J.H.; Olshen, R.A. & Stone, C.J. 1984. Classification and regression trees. New York, Chapman & Hall.

Breiner, F.T.; Guisan, A.; Bergamini, A. & Nobis, M.P. 2015. Overcoming limitations of modelling rare species by using ensembles of small models. Methods in Ecology and Evolution, 6(10): 1210-1218. https://doi.org/10.1111/2041-210X.12403.

Breiner, F.T.; Nobis, M.P.; Bergamini, A. & Guisan, A. 2018. Optimizing ensembles of small models for predicting the distribution of species with few occurrences. Methods in Ecology and Evolution, 9(4): 802-808. https://doi.org/10.1111/2041-210X.12957.

Caramaschi, U. 1998. Description of a second species of the genus Xenohyla (Anura: Hylidae). Amphibia-Reptilia, 19(4): 377-384.

Carvalho-e-Silva, S.P.; Telles, A.M. & Cruz, A.G. 2004. Xenohyla truncate. The IUCN Red List of Threatened Species. Available: e.T56053A11418199. https://doi.org/10.2305/IUCN.UK.2004.RLTS.T56053A11418199.en. Access: 15/05/2022.

Ceron, K.; Provete, D.B.; Pires, M.M.; Araujo, A.C.; Blüthgen, N. & Santana, D.J. 2022. Differences in prey availability across space and time lead to interaction rewiring and reshape a predator-prey Metaweb. Ecology, Washington, 23(8): 1-10, e3716. https://doi.org/10.1002/ecy.3716.

Chen, Y.; Zhang, J.; Jiang, J.; Nielsen, S.E & He, F. 2017. Assessing the effectiveness of China’s protected areas to conserve current and future amphibian diversity. Diversity and Distribution, 23(2): 146-157. https://doi.org/10.1111/ddi.12508.

Dormann, C.F.; Elith, J.; Bacher, S.; Buchmann, C.; Carl, G.; Carré, G.; Marquéz, J.R.G.; Gruber, B.; Lafourcade, B.; Leitão, P.J.; MÜnkemÜller, C.M.; Osborne, P.E.; Reineking, B.; Skidmore, A.K.; Zurell, D. & Lautenbach, S. 2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36: 27-46.

Elith, J. & Leathwick, J.R. 2009. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time. Annual Review of Ecology, Evolution, and Systematics, 40: 677-697.

Engler, R.; Guisan, A. & Rechsteiner, L. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal Applied of Ecology, 41(2): 263-274. https://doi.org/10.1111/j.0021-8901.2004.00881.x.

Feio, R.N.; Nascimento, L.B.; Da-Cruz, C.A.G.; Ferreira, P.L. & Pantoja, D.L. 2006. Anfíbios das áreas prioritárias dos Rios Jequitinhonha e Mucuri. In: Pinto, L.P.S. & Bede, L.C. Biodiversidade e conservação nos vales dos Rios Jequitinhonha e Mucuri. Brasília, Ministério do Meio Ambiente. p. 94-119.

Firpo, M.A.F.; Guimarães, B.D.S.; Dantas, L.G.; Silva, M.G.B.D.; Alves, L.M.; Chadwick, R.; Llopart, M.P. & Oliveira, G.S.D. 2022. Assessment of CMIP6 models’ performance in simulating present-day climate in Brazil. Frontiers in Climate, 4: 1-27, 948499. https://doi.org/10.3389/fclim.2022.948499.

Fordham, D.A.; Akçakaya, H.R.; Araújo, M.B.; Elith, J.; Keith, D.A.; Pearson, R.; Auld, T.D.; Mellin, C.; Morgan, J.W.; Regan, T.J.; Tozer, M.; Watts, M.J.; White, M.; Wintle, B.A.; Yates, C. & Brook, B.W. 2012. Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming? Global Change Biology, 18(4): 1357-1371.

Garda, A.A.; Stein, M.G.; Machado, R.B.; Lion, M.B.; Juncá, F.A. & Napoli, M.F. 2017. Ecology, biogeography, and conservation of amphibians of the Caatinga. In: Silva, J.M.C.; Leal, I.R. & Tabarelli, M. (Eds.). Caatinga. Cham, Springer. p. 133-149, https://doi.org/10.1007/978-3-319-68339-3_5.

Guedes, T.B.; Azevedo, J.A.R.; Bacon, C.D.; Provete, D.B. & Antonelli, A. 2020. Diversity, endemism, and evolutionary history of montane biotas outside the andean region. In: Rull, V. & Carnaval, A.C. Neotropical diversification: patterns and process, fascinating life sciences. New York, Springer. p. 299-328. https://doi.org/10.1007/978-3-030-31167-4_13.

Guisan, A.; Tingley, R.; Baumgartner, J.B.; Naujokaitis-Lewis, I.; Sutcliffe, P.R.; Tulloch, A.I.T.; Regan, T.J.; Brotons, L.; McDonald-Madden, E.; Mantyka-Pringle, C.; Martin, T.G.; Rhodes, J.R.; Maggini, R.; Stterfield, S.A.; Elith, J.; Schwartz, M.W.; Possingham, H.P. & Buckley, Y.M. 2013. Predicting species distributions for conservation decisions. Ecology Letters,16(12): 1424-1435. https://doi.org/10.1111/ele.12189.

Henriques, R.P.B.; Araujo, D.S.D. & Hay, J.D. 1986. Descrição e classificação dos tipos de vegetação da restinga de Carapebus, Rio de Janeiro. Revista Brasileira de Botânica, 9: 173-189.

Hijmans, R. 2023. _raster: Geographic Data Analysis and Modeling_. R package version 3.6-20. https://CRAN.R-project.org/package=raster.

Hoorn, C. & Wesselingh, F. 2011. Amazonia: landscape and species evolution: a look into the past. John Wiley & Sons.

Intergovernmental Panel on Climate Change (IPCC). 2022. Climate change 2022: impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (Eds.)]. Cambridge University Press. Cambridge University Press, Cambridge, UK and New York, NY, USA, 3056 pp. https://doi.org/10.1017/9781009325844.

Izecksohn, E. 1959. Uma nova espécie de “Hylidae” da baixada Fluminense, Estado do Rio de Janeiro, Brasil. (Amphibia, Anura). Revista Brasileira Biologia, 19(3): 259-263.

Izecksohn, E. “1996” 1998. Novo gênero de Hylidae brasileiro (Amphibia, Anura). Revista da Universidade Rural, Série Ciência e Vida, 18: 47-52.

Karger, D.N.; Conrad, O.; Böhner, J.; Kawohl, T.; Kreft, H.; Soria-Auza, R.W.; Zimmermann, N.E.; Linder, P. & Kessler, M. 2017. Climatologies at high resolution for the Earth land surface areas. Scientific Data, 4: 1-20, 170122. https://doi.org/10.1038/sdata.2017.122.

Lomba, A.; Pellissier, L.; Randin, C.; Vicente, J.; Moreira, F.; Honrado, J. & Guisan, A. 2010. c. Overcoming the rare species modeling paradox: a novel hierarchical framework applied to an Iberian endemic plant. Biological Conservation, 143(11): 2647-2657. https://doi.org/10.1016/j.biocon.2010.07.007.

Manel, S.; Dias, J.M.; Buckton, S.T. & Ormerod, S.J. 1999. Alternative methods for predicting species distribution: An illustration with Himalayan river birds. Journal of Applied Ecology, 36(5): 734-747. https://doi.org/10.1046/j.1365-2664.1999.00440.x.

Marciano-Jr., E.; Tanajura, G.; Costa, M.A.; Orrico, V.G.D. & Dias, I.R. 2021. Advertisement call and cytogenetics of Xenohyla eugenioi Caramaschi, 1998 (Amphibia; Anura; Hylidae), an enigmatic frog from northeastern Brazil. South American Journal of Herpetology, 20: 17-23. https://doi.org/10.2994/SAJH-D-18-00035.1.

MCcullagh, P. & Nelder, J.A. 1989. Generalized Linear Models. 2.ed. London, Chapman & Hall.

Metzger, J.P. 2010. O Código Florestal tem base científica? Natureza & Conservação, 8: 92-99. https://doi.org/10.4322/natcon.00801017.

Napoli, M.F. & Brandão, F. 2004. Geographic distribution: Xenohyla eugenioi. Herpetological Review, 35(3): 284.

Neves, M.O.; Cabral, H.; Pedrozo, M.; Ferreira, V.L.; Moura, M.R. & Santana, D.J. 2020. Dataset of occurrences and ecological traits of amphibians from Upper Paraguay River Basin, central South America. Nature Conservation, 41: 71-89. https://doi.org/10.3897/natureconservation.41.54265.

Neves, M.O.; Pereira, E.A.; Sugai, J.L.M.; Rocha, S.B.; Feio, R.N. & Santana, D.J. 2018. Distribution pattern of anurans from three mountain complexes in southeastern Brazil and their conservation implications. Anais da Academia Brasileira de Ciências, 90(2): 1611-1623.

Nori, J.; Lemes, P.; Urbina-Cardona, N.; Baldo, D.; Lescano, J. & Loyola, R. 2015. Amphibian conservation, land-use changes and protected areas: A global overview. Biological Conservation, 191: 367-374. https://doi.org/10.1016/j.biocon.2015.07.028.

Oliveira, U.; Soares-Filho, B.S.; Paglia, A.P.; Brescovit, A.D.; Carvalho, C.J.B.; Silva, D.P.; Rezende, D.T.; Leite, F.S.F.; Batista, J.A.N.; Barbosa, J.P.P.P.; Stehmann, J.R.; Ascher, J.S.; Vasconcelos, M.F.; Marco, P.; Lowenberg-Neto, P.; Ferro, V.G. & Santos, A.J. 2017. Biodiversity conservation gaps in the Brazilian protected areas. Scientific Reports, 7: 1-9, 9141. https://doi.org/10.1038/s41598-017-08707-2.

Orrico, V.G.; Grant, T.; Faivovich, J.; Rivera-Correa, M.; Rada, M.A.; Lyra, M.L.; Cassini, C.S.; Valdujo, P.H.; Schargel, W.E.; Machado, D.J.; Wheeler, W.C.; Barrio-Amorós, C.; Loebmann, D.; Moravec, J.; Zina, J.; Solé, M.; Sturaro, M.J.; Peloso, P.L.V.; Suarez, P. & Haddad, C.F.B. 2020. The phylogeny of Dendropsophini (Anura: Hylidae: Hylinae). Cladistics, 37(1): 73-105. https://doi.org/10.1111/cla.12429.

Pearson, R.G.; Raxworthy, C.J.; Nakamura, M. & Peterson, A.T. 2007. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography, 34(1): 102-117.

Peixoto, O.L. 1995. Associação de anuros a bromeliáceas na Mata Atlântica. Revista Universidade Rural, Série Ciências da Vida, 17: 75-83.

Pierce, D. 2023. ncdf4: Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files_. R package version 1.21. https://CRAN.R-project.org/package=ncdf4.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Version 3.5.2. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org.

Ribeiro, M.C.; Martensen, A.C.; Metzger, J.P.; Tabarelli, M.; Scarano, F. & Fortin, M.J. 2011. The Brazilian Atlantic Forest: A Shrinking Biodiversity Hotspot. In: Zachos, F.E. & Habel, J.C. Biodiversity Hotspots: distribution and protection of conservation priority areas. Heidelberg, Springer. p. 405-434.

Ricklefs, R.E. & Schluter, D. 1993. Species diversity: regional and historical influences. In: Ricklefs, R.E. & Schluter, D. Species diversity in ecological communities: historical and geographical perspectives. Chicago, Chicago University Press. p. 350-363.

Silva, H.R. & Brito-Pereira, M.C. 2006. How much fruit do fruit-eating frogs eat? An investigation on the diet of Xenohyla truncata (Lissamphibia: Anura: Hylidae). Journal of Zoology, 270(4): 692-698. https://doi.org/10.1111/j.1469-7998.2006.00192.x.

Silvano, D. & Pimenta, B. 2004. Xenohyla eugenioi. 2004 The IUCN Red List of Threatened Species. Available: https://www.iucnredlist.org/resources/baillie2004.

Siqueira, M.F.; Durigan, G.; De-Marco, J.R.P. & Peterson, A.T. 2009. Something from nothing: Using landscape similarity and ecological niche modeling to find rare plant species. Journal for Nature Conservation, 17: 25-32.

Soberón, J. 2007. Grinnellian and Eltonian niches and geographic distributions of species. Ecology Letters, 10(12): 1115-1123. https://doi.org/10.1111/j.1461-0248.2007.01107.x.

Tabarelli, M.; Pinto, L.P.; Silva, J.M.C.; Hirota, M.; & Bedê, L. 2005. Challenges and opportunities for biodiversity conservation in the Brazilian Atlantic Forest. Conservation Biology, 19(3): 695-700.

Toledo, L.F.; Carvalho-e-Silva, S.P.; Sánchez, C.; Almeida, M.A. & Haddad, C.F.B. 2010. The review of the Brazilian Forest Act: harmful effects on amphibian conservation. Biota Neotropica, 10: http://www.biotaneotropica.org.br/v10n4/en/abstract?article+bn00410042010.

Vasconcelos, T.S.; Nascimento, B.T.M. & Prado, V.H.M. 2018. Expected impacts of climate change threaten the anuran diversity in the Brazilian hotspots. Ecology and Evolution, 8(16): 7894-7906. https://doi.org/10.1002/ece3.4357.

Wiens, J.A.; Stralberg, D.; Jongsomijt, D.; Howel, C.A. & Snyder, M.A. 2009. Niches, models, and climate change: Assessing the assumptions and uncertainties. Proceedings of the National Academy of Sciences, 106 (Suppl. 2): 19729-19736. www.pnas.org_cgi_doi_10.1073_pnas.0901639106.

Xavier, A.L.; Guedes, T.B. & Napoli, M.F. 2015. Biogeography of Anurans from the Poorly Known and Threatened Coastal Sandplains of Eastern Brazil. PLoS ONE, 10(6): 1-18, e0128268. https://doi.org/10.1371/journal.pone.0128268.

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2024-01-02

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Andrade, H., Dias, E. J. dos R., Almeida, R. P. S., Costa, B. B. da, & Neves, M. O. (2024). Modeling the potential distribution to present and future of the poorly known species Xenohyla eugenioi Caramaschi, 1998 (Anura: Hylidae) with findings about its distribution, natural history, and conservation. Papéis Avulsos De Zoologia, 64, e202464002. https://doi.org/10.11606/1807-0205/2024.64.002