Distribution limits, natural history and conservation status of the poorly known Peruvian gracile mouse opossum (Didelphimorphia: Didelphidae)

References

• Aljanabi SM, Martinez I. 1997. Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques. Nucleic Acids Res. 25(22):4692–4693.
   PubMed Web of Science ®Google Scholar
• Anderson RP, Raza A. 2010. The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela. J Biogeogr. 37:1378–1393.
   Web of Science ®Google Scholar
• Andrade OR. 2019. Brazil’s budget cuts threaten more than 80,000 Science Scholarships. Nature. 572:575–576.
   PubMed Web of Science ®Google Scholar
• Andrade RP, Mourthe I, Saccardi V, Hernández-Ruz J. 2018. Eastern extension of the geographic range of Mico emiliae. Acta Amaz. 48(3):257–260.
   Web of Science ®Google Scholar
• Antunes PC, Miranda CL, Hannibal W, Aragona M, Godoi MN, Mozerle HB, Santos-Filho M, Layme VMG, Rossi RV, Brandão MV, et al. Forthcoming. Marsupiais da Bacia do Alto Paraguai: uma revisão do conhecimento do planalto à planície pantaneira. Bol Mus Para Emílio Goeldi.
   Google Scholar
• Astúa D. 2015. Family Didelphidae (Opossums). In: Wilson DE, Mittermeier RA, editors. Handbook of the mammals of the world, vol. 5: monotremes and marsupials. Barcelona: Lynx Edicions. p. 170–173.
   Google Scholar
• Bonvicino CR, Weksler M. 2012. Speciation in Amazonia: patterns and predictions of a network of hypotheses. In: Patterson BD, Costa LP, editors. Bones, clones, and biomes: the history and geography of recent neotropical mammals. Chicago: The University of Chicago Press. p. 259–282.
   Google Scholar
• Boubli JP, Byrne H, Da Silva MNF, Silva-Junior J, Araújo RC, Bertuol F, Gonçalves J, Melo FR, Rylands AB, Mittermeier RA, et al. 2019. On a new species of titi monkey (Primates: Plecturocebus Byrne et al. 2016), from Alta Floresta, southern Amazon, Brazil. Mol Phylogenet Evol. 132:117–137. doi:10.1016/j.ympev.2018.11.012.
   PubMed Web of Science ®Google Scholar
• Bradley BA, Fleishman E. 2008. Can remote sensing of land cover improve species distribution modelling? J Biogeogr. 35:1158–1159.
   Web of Science ®Google Scholar
• Brandão MVO, Rocha PA, Silionamã PD, Pascoal W. 2014. New records of the elusive marsupial Gracilinanus emiliae (Didelphimorphia, Didelphidae) from the Brazilian Amazon Basin and a range extension for the species. Mastoz Neot. 21(2):325–330.
   Google Scholar
• Breiner FT, Guisan A, Bergamini A, Nobis MP. 2015. Overcoming limitations of modelling rare species by using ensembles of small models. Methods Ecol Evol. 6:1210–1218.
   Web of Science ®Google Scholar
• Casagrande AF, Santos-Filho M. 2019. Use of forest remnants and teak (Tectona grandis) plantations by small mammals in Mato Grosso, Brazil. Stud Neotrop Fauna E. 54:181–190.
   Web of Science ®Google Scholar
• Cayuela L, Golicher DJ, Newton AC, Kolb M, de Albuquerque FS, Arets EJMM, Alkemade JRM, Pérez AM. 2009. Species distribution modeling in the Tropics: problems, potentialities, and the role of biological data for effective species conservation. Trop Conserv Sci. 2:319–352.
   Web of Science ®Google Scholar
• Costa L, Leite Y, Patton JL. 2003. Phylogeography and systematic notes on two species of gracile mouse opossums, genus Gracilinanus (Marsupialia: Didelphidae) from Brazil. P Biol Soc Wash. 116:275–292.
   Web of Science ®Google Scholar
• Creighton GK, Gardner AL. 2008. Genus Gracilinanus Gardner and Creighton, 1989. In: Gardner AL, editor. Mammals of South America, vol. 1. Chicago and London: The University of Chicago Press. p. 43–50.
   Google Scholar
• Dalapicolla J, Leite YLR. 2018. Historical connections among river basins and climatic changes explain the biogeographic history of a water rat. PeerJ. 6:e5333.
   PubMed Web of Science ®Google Scholar
• Darriba D, Taboada GL, Doallo R, Posada D. 2012. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 9:772.
   PubMed Web of Science ®Google Scholar
• Díaz-Nieto JF, Jansa SA, Voss RS. 2016. DNA sequencing reveals unexpected Recent diversity and an ancient dichotomy in the American marsupial genus Marmosops (Didelphidae: Thylamyini). Zool J Linn Soc. 176:914–940.
   Web of Science ®Google Scholar
• Díaz-Uriarte R, Andrés SA. 2006. Gene selection and classification of microarray data using random forest. BMC Bioinform. 7:1–13.
   PubMed Web of Science ®Google Scholar
• Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, Marquéz JRG, Gruber B, Lafourcade B, Leitão PJ, et al. 2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography (Cop). 36:27–46. doi:10.1111/j.1600-0587.2012.07348.x.
   Web of Science ®Google Scholar
• Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, et al. 2006. Novel methods improve prediction of species distributions from occurrence data. Ecography (Cop) 29(2):129–151. doi:10.1111/j.2006.0906-7590.04596.x.
   Web of Science ®Google Scholar
• Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. 2011. A statistical explanation of MaxEnt for ecologists. Divers Distrib. 17:43–57.
   Web of Science ®Google Scholar
• Fahrig L. 2003. Effects of habitat fragmentation biodiversity. Annu Rev Ecol Evol Syst. 34:487–515.
   Web of Science ®Google Scholar
• Faria MB, Nascimento FF, Oliveira JA, Bonvicino CR. 2013. Biogeographic determinants of genetic diversification in the mouse opossum Gracilinanus agilis (Didelphimorphia: Didelphidae). J Hered. 104:613–626.
   PubMed Web of Science ®Google Scholar
• Fick SE, Hijmans RJ. 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol. 37:4302–4315.
   Web of Science ®Google Scholar
• Gascon C, Bierregaard Jr RO, Lauranc WF, Rankin-De-Merona J. 2001. Deforestation and forest fragmentation in the Amazon. In: Bierregaard Jr RO, Gascon C, Lovejoy TE, Mesquita R, editors. Lessons from Amazonia: the ecology and conservation of a fragmented forest. New Haven: Yale University Press. p. 22–30.
   Google Scholar
• Geise L, Astúa D. 2009. Distribution extension and sympatric occurrence of Gracilinanus agilis and G. microtarsus (Didelphimorphia, Didelphidae), with cytogenetic notes. Biota Neotrop. 9(4):269–276.
   Google Scholar
• Giarla TC, Voss RS, Jansa SA. 2010. Species limits and phylogenetic relationships in the didelphid marsupial genus Thylamys based on mitochondrial DNA sequences and morphology. B Am Mus Nat Hist. 346:1–67.
   Google Scholar
• Guidotti V, Freitas FLM, Spavorek G, Pinto LFG, Hamamura C, Carvalho T, Cerignoni F. 2017. Números detalhados do Novo Código Florestal e suas implicações para os PRAs Principais resultados e considerações. SeD Piracicaba. 5:1–11.
   Google Scholar
• Gutiérrez EE. 2016. Ecological niche modelling requires real presence data and appropriate study regions: a comment on medone et al. 2015. Phil Trans R Soc B. 371:20160027.20160027.
   PubMed Web of Science ®Google Scholar
• Gutiérrez EE, Jansa SA, Voss RS. 2010. Molecular systematics of mouse opossums (Didelphidae: Marmosa): assessing species limits using mitochondrial DNA sequences, with comments on phylogenetic relationships and biogeography. Am Mus Novit. 3692:1–22.
   Google Scholar
• Hall TA. 1999. BioEdit: a user–friendly biological sequence alignment editor and analysis program for Windows 85/98/NT. Nucleic Acids Symp Ser. 41:95–98.
   Google Scholar
• Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, Thau D, Stehman SV, Goetz SJ, Loveland TR, et al. 2013. High-resolution global maps of 21st-century forest cover change. Science. 342:850–853. doi:10.1126/science.1244693.
   PubMed Web of Science ®Google Scholar
• Harrison XA, Donaldson L, Correa-Cano ME, Evans J, Fisher DN, Goodwin CED, Robinson BS, Hodgson DJ, Inger R. 2018. A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ. 6:e4794.
   PubMed Web of Science ®Google Scholar
• Hijmans R, van Etten J. 2015. Raster: geographic data analysis and modeling. R Packag. version 2. 3-40[Internet]. Available from: https://cran.r-project.org/web/packages/raster/index.html
   Google Scholar
• Hopkins MJG. 2007. Modelling the known and unknown plant biodiversity of the Amazon Basin. J Biogeog. 34:1400–1411.
   Web of Science ®Google Scholar
• Instituto Chico Mendes de Biodiversidade. 2018. Livro Vermelho da Fauna Brasileira Ameaçada de Extinção: Volume II – Mamíferos. 1st ed. Brasília: Ministério do Meio Ambiente.
   Google Scholar
• IUCN. 2021. The IUCN red list of threatened species. Version 2021-1. [accessed 2021 Jun 5]. https://www.iucnredlist.org
   Google Scholar
• IUCN Standards and Petitions Committee. 2019. Guidelines for using the IUCN red list categories and criteria. Version 14. Prepared by the Standards and Petitions Committee. https://nc.iucnredlist.org/redlist/content/attachment_files/RedListGuidelines.pdf
   Google Scholar
• Kumar S, Stecher G, Tamura K. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 33:1870–1874.
   PubMed Web of Science ®Google Scholar
• Lacher TE, Alho CJR. 2001. Terrestrial small mammal richness and habitat associations in an Amazon Forest-Cerrado contact zone. Biotropica. 33(1):171–181.
   Web of Science ®Google Scholar
• Legendre P, Legendre L. 2012. Numerical ecology: developments in environmental modeling. 3rd ed. Amsterdam: Elsevier.
   Google Scholar
• Leite RN, Rogers DS. 2013. Revisiting Amazonian phylogeography: insights into diversification hypotheses and novel perspectives. Org Divers Evol. 13:639–664.
   Web of Science ®Google Scholar
• Liaw A, Wiener M. 2002. Classification and regression by random Forest. R News. 2:18–22.
   Google Scholar
• Lima-Silva LG, Ferreira DC, Rossi RV. 2019. Species diversity of Marmosa subgenus Micoureus (Didelphimorphia, Didelphidae) and taxonomic evaluation of the white-bellied woolly mouse opossum Marmosa constantiae. Zool J Linn Soc. 187(1):240–277.
   Web of Science ®Google Scholar
• Lóss S, Costa LP, Leite YLR. 2011. Geographic variation, phylogeny and systematic status of Gracilinanus microtarsus (Mammalia: Didelphimorphia: Didelphidae). Zootaxa. 2761:1–33.
   Google Scholar
• Marques EQ, Marimon-Junior BH, Marimon BS, Matricardi EAT, Mews HA, Colli GR. 2020. Redefining the Cerrado–Amazonia transition: implications for conservation. Biodivers Conserv. 29:1501–1517.
   Web of Science ®Google Scholar
• Mendonça RFB, Colle AC, Freitas LC, Martins TF, Horta MC, Oliveira GMB, Pacheco R, Mateus LAF, Rossi RV. 2020. Ectoparasites of small mammals in a fragmented area of the southern Amazonia: interaction networks and correlations with seasonality and host sex. Exp Appl Acarol. 81:117–134.
   PubMed Web of Science ®Google Scholar
• Mi C, Huettmann F, Guo Y, Han X, Wen L. 2017. Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence. PeerJ. 5:e2849.
   PubMed Web of Science ®Google Scholar
• Miller MA, Pfeiffer W, Schwartz T. 2010. Creating the CIPRES science gateway for inference of large phylogenetic trees. New Orleans: Gateway Computing Environments Workshop (GCE); p. 1–8. [Internet]. doi:10.1109/GCE.2010.5676129.
   Google Scholar
• Ministerio de Medio Ambiente y Agua. 2009. Libro rojo de la fauna silvestre de vertebrados de Bolivia. La Paz (Bolivia): Ministerio de Medio Ambiente y Agua. p. 571.
   Google Scholar
• Mittermeier RA, Boubli J, Di Fiore A. 2019. Ateles marginatus. The IUCN Red List of Threatened Species. [accessed 2021 Jul]. https://dx.doi.org/10.2305/IUCN.UK.2021-1.RLTS.T2282A191689524.en
   Google Scholar
• 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. 5:1198–1205.
   Web of Science ®Google Scholar
• Naimi B, Hamm NAS, Groen TA, Skidmore AK, Toxopeus AG. 2014. Where is positional uncertainty a problem for species distribution modelling? Ecography (Cop). 37:191–203.
   Web of Science ®Google Scholar
• Oke OA, Thompson KA. 2015. Distribution models for mountain plant species: the value of elevation. Ecol Model. 301:72–77.
   Web of Science ®Google Scholar
• Olmos MN, D’Hiriart S, Teta P. 2019. Nuevos registros para el género Gracilinanus Gardner and Creighton 1989 (Didelphimorphia, Didelphidae) en Argentina, con comentarios sobre su situación taxonómica. Notas Sobre Mamíferos Sudamericanos. 01:001–007.
   Google Scholar
• Palmeirim AF, Santos-Filho M, Peres CA. 2020. Marked decline in forest–dependent small mammals following habitat loss and fragmentation in an Amazonian deforestation frontier. Plos One. 15(3):e0230209.
   PubMed Web of Science ®Google Scholar
• Pardini R, Bueno Ade A, Gardner TA, Prado PI, Metzger JP. 2010. Beyond the fragmentation threshold hypothesis: regime shifts in biodiversity across fragmented landscapes. PLoS One. 5(10):e13666.
   PubMed Web of Science ®Google Scholar
• Pearson RG, Raxworthy CJ, Nakamura M, Townsend Peterson A. 2006. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr. 34:102–117.
   Web of Science ®Google Scholar
• Percequillo AR, Dalapicolla J, Abreu-Júnior EF, Roth PRO, Ferraz KMPMB, Chiquito EA. 2017. How many species of mammals are there in Brazil? New records of rare rodents (Rodentia: Cricetidae: Sigmodontinae) from Amazonia raise the current known diversity. PeerJ. 5:e4071.
   PubMed Web of Science ®Google Scholar
• Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecol Modell. 190:231–259.
   Web of Science ®Google Scholar
• Prado JR, Percequillo AR, Thomaz AT, Knowles LL. 2019. Similar but different: revealing the relative roles of species-traits versus biome properties structuring genetic variation in South American marsh rats. J Biogeogr. 46:770–783.
   Web of Science ®Google Scholar
• R Core Team. 2020. R: a language and environment for statistical computing. Version 3.6.3. [accessed 2020 Feb 3]. https://www.R-project.org/
   Google Scholar
• Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Ferdman A, McGuire JA. 2016. Coral snakes predict the evolution of mimicry across New World snakes. Nat Commun. 7:1–9.
   Web of Science ®Google Scholar
• Rambaut A. 2016. Tree figure drawing Tool. v1.4.3. Institute of Evolutionary Biology, University of Edinburgh. [accessed 2021 May 5]. http://tree.bio.ed.ac.uk/software/figtree
   Google Scholar
• Rambaut A, Suchard M, Drummond AJ. 2014. Tracer v1.6: MCMC trace analysis package. Institute of Evolutionary Biology, University of Edinburgh. [accessed 2021 May 5]. http://tree.bio.ed.ac.uk/software/tracer
   Google Scholar
• Rhoden CM, Peterman WE, Taylor CA. 2017. Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists. PeerJ. 5:e3632.
   PubMed Web of Science ®Google Scholar
• Rocha RG, Ferreira E, Loss AC, Heller R, Fonseca C, Costa LP. 2015. The Araguaia River as an important biogeographical divide for Didelphid Marsupials in Central Brazil. J Hered. 106(5):593–607. doi:10.1093/jhered/esv058.
   PubMed Web of Science ®Google Scholar
• Ronquist F, Teslenko M, Van Der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP. 2012. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 61:539–542.
   PubMed Web of Science ®Google Scholar
• Saatchi S, Buermann W, Ter Steege H, Mori S, Smith TB. 2008. Modeling distribution of Amazonian tree species and diversity using remote sensing measurements. Remote Sens Environ. 112:2000–2017.
   Web of Science ®Google Scholar
• Saldanha J, Ferreira DC, Silva VF, Santos-Filho M, Mendes-Oliveira AC, Rossi RV. 2019. Genetic diversity of Oecomys (Rodentia, Sigmodontinae) from the Tapajós River basin and the role of rivers as barriers for the genus in the region. Mamm Biol. 97:41–49.
   Web of Science ®Google Scholar
• Semedo TBF, Brandão MV, Carmignotto AP, Nunes MS, Farias IP, Da Silva MNF, Rossi RV. 2015. Taxonomic status and phylogenetic relationships of Marmosa agilis peruana Tate, 1931 (Didelphimorphia: Didelphidae), with comments on the morphological variation of Gracilinanus from central–western Brazil. Zool J Linn Soc. 173:190–216.
   Web of Science ®Google Scholar
• Serfor. 2018. Libro rojo de la fauna silvestre amenazada del Perú. Primera edción. Lima (Perú): SERFOR (Servicio Nacional Forestal y de Fauna Silvestre). p. 532.
   Google Scholar
• Silva CA, Lima M. 2018. Soy Moratorium in Mato Grosso: deforestation undermines the agreement. Land Use Policy. 71:540–542.
   Web of Science ®Google Scholar
• Smith MF, Patton JL. 1993. The diversification of South American murid rodents: evidence from mitochondrial DNA sequence data for Akodontine tribe. Biol J Linnean Soc. 50:149–177.
   Web of Science ®Google Scholar
• Tabachnick BG, Fidell LS. 2007. Using multivariate statistics. 5th ed. New York: Allyn & Bacon/Pearson Education.
   Google Scholar
• Thuiller W, Georges D, Gueguen M, Engler R, Breiner F. 2020. biomod2: ensemble platform for species distribution modeling. R package version 3.5.1. https://CRAN.R-project.org/package=biomod2
   Google Scholar
• Voss RS, Díaz-Nieto JF, Jansa SA. 2018. A revision of Philander (Marsupialia: Didelphidae), part 1: P. quica, P. canus, and a new species from Amazonia. Am Mus Novit. 389:1–70.
   Google Scholar
• Voss RS, Fleck DW, Jansa AS. 2019. Mammalian diversity and matses ethnomammalogy in Amazonian Peru, Part 3: marsupials (Didelphimorphia). B Am Mus Nat Hist. 432(14):1–87.
   Google Scholar
• Voss RS, Fleck DWY, Jansa SA. 2009. On the diagnostic characters, ecogeographic distribution, and phylogenetic relationships of Gracilinanus emiliae (Didelphimorphia: Didelphidae: Thylamyini). Mastozool Neotrop. 16(2):433–443.
   Google Scholar
• Voss RS, Giarla TS, Díaz-Nieto JF, Jansa SA. 2020. A revision of the Didelphid marsupial genus Marmosa, part 2. Species of the rapposa group (subgenus Micoureus). Bull Am Mus Nat Hist. 439:1–60.
   Google Scholar
• Wallace RB, Mittermeier RA, Cornejo F, Boubli JP. 2008. Ateles chamek. The IUCN Red List of Threatened Species. [accessed 2021 Jul]. https://dx.doi.org/10.2305/IUCN.UK.2021-1.RLTS.T41547A191685783.en
   Google Scholar
• Wilson JW, Sexton JO, Todd Jobe R, Haddad NM. 2013. The relative contribution of terrain, land cover, and vegetation structure indices to species distribution models. Biol Conserv. 164:170–176.
   Web of Science ®Google Scholar
• Yoshikawa S, Sanga-Ngoie K. 2011. Deforestation dynamics in Mato Grosso in the southern Brazilian Amazon using GIS and NOAA/AHVRR data. Int J Remote Sens. 32:523–544.
   Web of Science ®Google Scholar
• Zwickl DJ. 2006. Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion [dissertation]. Austin (TX): The University of Texas at Austin. [accessed 2021 May 5]. http://hdl.handle.net/2152/2666
   Google Scholar