medigraphic.com
Centro de Investigaciones Regionales Dr. Hideyo Noguchi, Universidad Autónoma de Yucatán

2023, Number 1

<< Back Next >>

Rev Biomed 2023; 34 (1)

Fragmentation of the ecological niche of sandflies (Diptera: Psychodidae: Phlebotominae) in Central and South America

Galvis-Martínez CA, Altamiranda-Saavedra M, Moo-Llanes DA

Language: Spanish
References: 18
Page: 111-116
PDF size: 166.43 Kb.


ABSTRACT

Introduction. Sandflies are vectors of leishmaniasis. Ecological niche models are currently used to infer the distribution of species in a given geographic area. So far, there is no evidence on the inference of ecological niche fragmentation in sandflies.
Objective. Our objective is to implement landscape indices for the interpretation of the fragmentation of the ecological niche in three species of sandflies in Central and South America.
Material and methods. Ecological niche models were built for three species of sandflies in Central and South America in three time periods: past (Pleistocene), present and future (RCP 8.5). Finally, we used FragStat analysis to calculate two indices: COHESION and CPLAND.
Results. Our results show a COHESION index higher than 99.8%; while the values of CPLAND were increasing from 3.4-72.1% depending on the species and the period.
Conclusion. Ecological connectivity between the patches of the projected geographic distribution of the ecological niche model was verified among the three species of sandflies in Central and South America.


REFERENCES

  1. Rebollar-Téllez EA, Moo-Llanes DA. Diversidad alfa,beta y co-ocurrencia de especies de flebotomineos(Diptera: Psychodidae) en Calakmul, Campeche,México. Rev Chil Entomol. 2020; 46(2): 221–235.https://doi.org/10.35249/rche.46.2.20.13

  2. Moo-Llanes DA, Pech-May A, Ibarra-Cerdeña CN,Rebollar-Téllez EA, Ramsey JM. Inferring distributionalshifts of epidemiologically important North and CentralAmerican sandflies from Pleistocene to future scenarios.Med Vet Entomol. 2018; 33: 31–43. https://doi.org/10.1111/mve.12326

  3. Moo-Llanes DA, Pech-May A, Montes de Oca-AguilarAC, Salomón OD, Ramsey JM. Niche divergenceand paleo-distributions of Lutzomyia longipalpismitochondrial haplogroups (Diptera: Psychodidae). ActaTrop. 2020; 211: 105607.

  4. Peterson AT, Shaw JJ. Lutzomyia vectors for cutaneousleishmaniasis in Southern Brazil: Ecological nichemodels, predicted geographic distributions, and climatechange effects. Int J Parasitol. 2003; 33: 919–931. https://doi.org/10.1016/S0020-7519(03)00094-8.

  5. Altamiranda-Saavedra M, Arboleda S, Parra JL, PetersonAT, Correa MM. Potential distribution of mosquitovector species in a primary malaria endemic region ofColombia. PLoS ONE. 2017; 12(6), 1–14. https://doi.org/10.1371/journal.pone.0179093

  6. Peterson AT, Campbell LP, Moo-Llanes DA, TraviB, González C, Ferro MC, Melim-Ferreira GE, et al.Influences of climate change on the potential distributionof Lutzomyia longipalpis sensu lato (Psychodidae:Phlebotominae). Int J Parasitol. 2017; 47(10–11): 667–674. https://doi.org/10.1016/j.ijpara.2017.04.007

  7. Moo-Llanes DA, Ibarra-Cerdeña CN, Rebollar-TéllezEA, Ibáñez-Bernal S, González C, Ramsey JM. Currentand Future Niche of North and Central AmericanSand Flies (Diptera: Psychodidae) in Climate ChangeScenarios. PLoS Negl Trop Dis. 2013; 7. https://doi.org/10.1371/journal.pntd.0002421

  8. Galvis-Martínez C. Evaluación de conservadurismode nicho de Lutzomyia gomezi, Lu. shannoni y Lu.ovallesi del Pleistoceno a escenarios futuros en Centroy Sudamérica. Tesis de pregrado. Universidad dePamplona, Colombia. 2020.

  9. Owens HL, Campbell LP, Dornak LL, Saupe EE,Barve N, Soberón J, Ingenloff K, et al. Constraints oninterpretation of ecological niche models by limitedenvironmental ranges on calibration areas. EcolModel. 2013; 263, 10–18. https://doi.org/10.1016/j.ecolmodel.2013.04.011

  10. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A.Very high-resolution interpolated climate surfaces forglobal land areas. Int J Climatol. 2005; 25: 1965–1978.https://doi.org/10.1002/joc.1276

  11. Varela S, Lima-Ribeiro MS, Terribile LC. A short guideto the climatic variables of the last glacial maximum forbiogeographers. PLoS ONE. 2015; 10: 1–15. https://doi.org/10.1371/journal.pone.0129037

  12. Yin L, Fu R, Shevliakova E, Dickinson RE. How wellcan CMIP5 simulate precipitation and its controllingprocesses over tropical South America? ClimateDynamics. 2013; 41(11–12): 3127–3143. https://doi.org/10.1007/s00382-012-1582-y

  13. Cobos ME, Peterson AT, Barve N, Osorio L. Kuenm: AnR package for detailed development of ecological nichemodels using Maxent. Peer J. 2019; (2): 1–15. https://doi.org/10.7717/peerj.6281

  14. Mcgarigal K, Cushman SA, Ene E. Fragstats ver4. SpatialPattern Analysis Program for categorical and continousmaps. Computer software program by the authors at theUniversity of Massachusetts, Amherst. 2012.

  15. Peterson AT, Ammann CM. Global patterns ofconnectivity and isolation of populations of forest birdspecies in the late Pleistocene. Glob Ecol Biogeogr.2013; 22: 596–606. https://doi.org/10.1111/geb.12010

  16. Martins-Rodgers MS, Bavia ME, Lins-Fonseca EO,Cova BO, Nascimento-Silva MM, Trabuco-CarneiroDD, et al. Ecological niche models for sand fly speciesand predicted distribution of Lutzomyia longipalpis(Diptera: Psychodidae) and visceral leishmaniasis inBahia state, Brazil. Environ Monit Assess. 2019; 191(2):331 https://doi.org/10.1007/s10661-019-7431-2

  17. Falcão de Oliveira E, dos Santos Fernandes CE, Araújoe Silva E, Brazil, RP, de Oliveira AG. Climatic factorsand population density of Lutzomyia longipalpis (Lutz& Neiva, 1912) in an urban endemic area of visceralleishmaniasis in midwest Brazil. J Vector Ecol.2013; 38: 224–228. https://doi.org/10.1111/j.1948-7134.2013.12034.x

  18. Scarpassa VM, Alencar RB. Lutzomyia umbratilis, themain vector of Leishmania guyanesis, represents a novelspecies complex? PLoS ONE. 2012; 7: 1–10. https://doi.org/10.1371/journal.pone.0037341




2020     |     www.medigraphic.com