Abstract
The Brazilian dwarf brocket deer (Mazama nana; Mammalia: Cervidae) is an elusive deer species that occupies the forests of southern Brazil, northern Argentina, and eastern Paraguay. A drastic reduction in forested areas has greatly affected the species, the least studied Neotropical deer. As do many threatened and elusive species, the Brazilian dwarf brocket deer needs a refinement of its distribution that would indicate proper sites to guide its conservation in situ. This project aimed to determine species distribution in order to establish priority areas for conservation. Given the rarity and elusiveness of the species, we proposed indirect methods to achieve this objective. We tracked and collected faecal samples in protected areas spread over southern Brazil with the help of a scat detection dog. Following species identification by PCR/RFLP and sample spatialisation, we modelled the species distribution using MaxEnt software. We found that the potential geographical distribution of the Brazilian dwarf brocket deer in Brazil is spread over the states of Paraná, Santa Catarina, northern and central Rio Grande do Sul, the extreme south of São Paulo and Mato Grosso do Sul, eastern Paraguay, and the Misiones province in Argentina. The west and centre of Paraná state and part of western Santa Catarina state were identified as high conservation priority areas.
Similar content being viewed by others
References
Abril VV, Vogliotti A, Varela DM et al (2010) Brazilian dwarf brocket deer Mazama nana (Hensel 1872). In: Duarte JMB, González S (eds) Neotropical cervidology. Funep, Jaboticabal, pp 160–165
Baldwin RA (2009) Use of maximum entropy modeling in wildlife research. Entropy 11:854–866. https://doi.org/10.3390/e11040854
Bello J, Reyna R, Schipper J (2016) Mazama temama. The IUCN Red List of Threatened Species 2016: e.T136290A22164644. https://doi.org/10.2305/IUCN.UK.2016-2.RLTS.T136290A22164644.en. Downloaded on 11 October 2018
Boom R, Sol CJA, Salimans MMM, Jansen CL, Wertheim-Vandillen PME (1990) Rapid and simple methods for purification of nucleic acids. J Clin Microbiol 3:495–503
Bosso L, Mucedda M, Fichera G, Kiefer A, Russo D (2016) A gap analysis for threatened bat populations on Sardinia. Hystrix, Ital J Mammal 27(2)
Cabrera A (1960) Catálogo de los mamíferos de America del Sur. La Revista del Museo Argentino de Ciencias Naturales “Bernardino Rivadavia”. Zoologia 4:309–732
Chébez JC, Varela DM (2001) Corzuela enana. In: Dellafiore CM, Macieira N (eds) Los ciervos autóctonos de la Argentina. Buenos Aires, GAC, pp 51–56
Cuyckens GAE, Pereira JA, Trigo TC, Da Silva M, Gonçalves L, Huaranca JC, Bou Peres N, Cartes JL, Eizirik E (2016) Refined assessment of the geographic distribution of Geoffroy’s cat (Leopardus geoffroyi)(Mammalia: Felidae) in the Neotropics. J Zool 298(4):285–292
Duarte JMB (1996) Guia de identificação de cervídeos brasileiros. Funep, Jaboticabal
Duarte JMB (1998) Análise citogenética e taxonômica do gênero Mazama (Cervidae; Artiodactyla) no Brasil. Dissertation, São Paulo State University
Duarte JMB, Vogliotti A (2016) Mazama americana. The IUCN Red List of Threatened Species 2016: e.T29619A22154827. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T29619A22154827.en. Downloaded on 11 October 2018
Duarte JMB, Vogliotti A, Cartes JL, Oliveira ML (2015) Mazama nana. The IUCN Red List of Threatened Species. https://doi.org/10.2305/IUCN.UK.2015-4.RLTS.T29621A22154379.en
Duarte JMB, Talarico AC, Vogliotti A, Garcia JE, Oliveira ML, Maldonado JE, González S (2017) Scat detection dogs, DNA and species distribution modelling reveal a diminutive geographical range for the vulnerable small red brocket deer Mazama bororo. Oryx 51:656–664. https://doi.org/10.1017/S0030605316000405
Duckworth JW, Timmins R, Semiadi G (2015). Tragulus javanicus. The IUCN Red List of Threatened Species 2015: e.T41780A61978138. https://doi.org/10.2305/IUCN.UK.2015-2.RLTS.T41780A61978138.en. Downloaded on 11 October 2018
Eisenberg JF, Redford KH (1999) Mammals of the Neotropics: the central Neotropics. The University of Chicago Press, Chicago
Elith J, Graham CH, Anderson RP et al (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151. https://doi.org/10.1111/j.2006.0906-7590.04596.x
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49. https://doi.org/10.1017/S0376892997000088
Fleury M, Galetti M (2006) Forest fragment size and microhabitat effects on palm seed predation. Biol Conserv 131(1):1–13
González S, Maldonado JE, Ortega J et al (2009) Identification of the endangered small red brocket deer (Mazamabororo) using noninvasive genetic techniques (Mammalia; Cervidae). Mol Ecol Resour 9:754–758. https://doi.org/10.1111/j.1755-0998.2008.02390.x
Grubb P (1990) List of deer species and subspecies. Deer 8:153–155
Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontol Electron 4:1–9
Hansen M, Defries RS, Townshend JRG et al (2003) Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interact 7:1–15. https://doi.org/10.1175/1087-3562(2003)007<0001:GPTCAA>2.0.CO;2
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978. https://doi.org/10.1002/joc.1276
Instituto Brasileiro de Geografia e Estatística (IBGE) (1992) Mapa de vegetação do Brasil. Rio de Janeiro
International Union for Conservation of Nature (IUCN) (2014) Guidelines for application of IUCN Red List criteria at regional and national levels: version 4.0. Gland
Khadka KK, James DA (2017) Modeling and mapping the current and future climatic-niche of endangered Himalayan musk deer. Ecol Inform 40:1–7. https://doi.org/10.1016/j.ecoinf.2017.04.009
Kohn MH, Wayne RK (1997) Facts from feces revisited. Trends Ecol Evol 12:223–227. https://doi.org/10.1016/S0169-5347(97)01050-1
Kohn MH, York EC, Kamradt DA, Haught G, Sauvajot RM, Wayne RK (1999) Estimating population size by genotyping faeces. Proc R Soc Lond B Biol Sci 266:657–663. https://doi.org/10.1098/rspb.1999.0686
Marini MA, Barbet-Massin M, Lopes LE, Jiguet F (2010) Predicting the occurrence of rare Brazilian birds with species distribution models. J Ornithol 151(4):857–866
Oliveira ML, Duarte JMB (2013) Amplifiability of mitochondrial, microsatellite and amelogenin DNA loci from fecal samples of red brocket deer Mazama americana (Cetartiodactyla, Cervidae). Genet Mol Res 12:44–52. https://doi.org/10.4238/2013.January.16.8
Pearce JL, Boyce MS (2006) Modelling distribution and abundance with presence-only data. J Appl Ecol 43:405–412. https://doi.org/10.1111/j.1365-2664.2005.01112.x
Pearson RG (2007) Species’ distribution modeling for conservation educators and practitioners: synthesis. American Museum of Natural History. http://ncep.amnh.org. Accessed 12 March 2012
Phillips SJ, Dudík M (2008) Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation. Ecography 31:161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
Phillips SJ, Dudík M, Schapire RE (2004) A maximum entropy approach to species distribution modeling. International Conference on Machine Learning, ACM Press, New York, pp 655–662
Phillips SJ, Anderson RP, Schapired RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Rodriguez JP, Brotons L, Bustamante J, Seoane J (2007) The application of predictive modelling of species distribution to biodiversity conservation. Divers Distributions 13:243–251. https://doi.org/10.1111/j.1472-4642.2007.00356.x
Rossi RV (2000) Taxonomia de Mazama Rafinesque, 1817 do Brasil (Artiodactyla, Cervidae). Dissertation, University of São Paulo
Smith DA, Ralls K, Davenport B et al (2001) Canine assistants for conservationists. Science 291:435–4435. https://doi.org/10.1126/science.291.5503.435B
Souza JN, Oliveira ML, Duarte JMB (2013) A PCR/RFLP methodology to identify non-Amazonian Brazilian deer species. Conserv Genet Resour 5:639–641. https://doi.org/10.1007/s12686-013-9870-3
Timmins R, Duckworth JW (2016a) Muntiacus gongshanensis. The IUCN Red List of Threatened Species 2016: e.T13926A22160596. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T13926A22160596.en. Downloaded on 11 October 2018
Timmins R, Duckworth JW (2016b). Muntiacus rooseveltorum. The IUCN Red List of Threatened Species 2016: e.T13928A22160435. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T13928A22160435.en. Downloaded on 11 October 2018
Timmins R, Duckworth JW (2016c) Muntiacus truongsonensis. The IUCN Red List of Threatened Species 2016: e.T44704A22154056. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T44704A22154056.en. Downloaded on 11 October 2018
Timmins R, Duckworth JW, Meijaard E (2015). Tragulus williamsoni. The IUCN Red List of Threatened Species 2015: e.T136533A61978926. https://doi.org/10.2305/IUCN.UK.2015-2.RLTS.T136533A61978926.en. Downloaded on 11 October 2018
Timmins R, Steinmetz R, Chutipong W (2016) Muntiacus feae. The IUCN Red List of Threatened Species 2016: e.T13927A22160266. https://doi.org/10.2305/IUCN.UK.2016-1.RLTS.T13927A22160266.en. Downloaded 11 Oct 2018
Valeriano MM (2008) TOPODATA: guia de utilização de dados geomorfométricos locais. INPE (National Institute of Space Research) http://www.dsr.inpe.br/topodata/. Accessed 17 May 2012
VanDerWal J, Shoo LP, Johnson CN, Williams SE (2009) Abundance and the environmental niche: environmental suitability estimated from niche models predicts the upper limit of local abundance. Am Nat 174(2):282–291
Vieira CC (1955) Lista remissiva dos mamíferos do Brasil. Arq Zool 8:458–464
Vogliotti A (2003) História natural de Mazama bororo (Artiodactyla; Cervidae) através da etnozoologia, monitoramento fotográfico e radiotelemetria. Dissertation, University of São Paulo
Vogliotti A (2008) Partição de hábitats entre os cervídeos no Parque Nacional do Iguaçu. Dissertation, University of São Paulo
Ximenes AC (2008) Mapas auto-organizáveis para a identificação de ecorregiões do interflúvio Madeira-Purus: uma abordagem da biogeografia ecológica. Dissertation. National Institute of Space Research
Yañez-Arenas C, Martínez-Meyer E, Mandujano S, Octavio R-S (2012) Modelling geographic patterns of population density of the white-tailed deer in central Mexico by implementing ecological niche theory. Oikos 121:2081–2089. https://doi.org/10.1111/j.1600-0706.2012.20350.x
Acknowledgements
The authors would like to thank Carlos Brocardo, Cíntia Gruener, Alexandre Vogliotti, Hugo Morzele, Paulo Kuester, Edson Abreu Jr., Pedro Volkmer de Castilho, Simone Michelon, Júlia Ferrúa dos Santos, Jorge Cherem, and Gabriela Mette for providing georeferenced records, as well as João Airton Boer for his work in the molecular genetics laboratory. This research was authorised by the following environmental agencies: the Chico Mendes Institute for Biodiversity Conservation (ICMBio; SISBio: 32972-4), the Santa Catarina Environmental Foundation (FATMA), the Environmental Institute of Paraná (IAP; 394-12), the State Environmental Secretary of Rio Grande do Sul (12/2012-DUC), the Riograndense Sanitation Company (Corsan), and the Joinvile Municipal Environmental Foundation (FUNDEMA; 10/12-GEMAP).
Funding
This research was financed by the São Paulo Research Foundation (FAPESP; 12/50206-1). M. L. Oliveira received grants from FAPESP (15/25742-5, 12/01095-2) and the National Council for Scientific and Technological Development (CNPq).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
ESM 1
(DOCX 168 kb)
Rights and permissions
About this article
Cite this article
de Oliveira, M.L., do Couto, H.T.Z. & Duarte, J.M.B. Distribution of the elusive and threatened Brazilian dwarf brocket deer refined by non-invasive genetic sampling and distribution modelling. Eur J Wildl Res 65, 21 (2019). https://doi.org/10.1007/s10344-019-1258-6
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10344-019-1258-6