THE RELATIONSHIP BETWEEN ECOLOGICAL, MORPHOLOGICAL AND GENETIC FACTORS AMONG LORIS SPECIES IN SRI LANKA
DOI:
https://doi.org/10.24278/2178-5031.202234206Keywords:
Species occurrence, Loris distribution, Environment, Morphology, GeneticsAbstract
The study on Loris species diversity in Sri Lanka was considered is based on environmental, morphological, and genetic factors. The distribution of the Loris species, according to genetics and morphology, was the focal point of this work. We have observed seven groups from 25 districts in Sri Lanka in the environmental analysis. When we compare the ecological factors of the Loris species in the study of distribution patterns, the genetic and morphological characteristics are considered for the occurrence of each species, and it also align with the environmental clustering style as seven clusters. Our results suggest that segregation plays a key role in the evolution of genetic structure within the Loris species populations under conditions of free movement. Given the monophyletic arrival of the Loris species, our study challenges the view that geographical barriers are strictly needed for genetic divergence. The study further raises the interesting prospect that social forces - such as social structure, feeding habits, and the breeding of Loris - might influence the genetic partitioning of the population.
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BROOKS, T.M. et al. Habitat loss and extinction in the hotspots of biodiversity. Conservation Biology, v. 16, n. 4, p. 909-923, 2002.
CABRERA, A. Sobre los loris, y en especial sobre la forma filipina. Boletίn de la real Sociedad Española de {About lorises, and especially about form. lipine. Bulletin of the Royal Spanish History Society.} Historia Natural, v. 8, p. 135-139, 1908
DÍAZ, S.; YADVINDER, M. Biodiversity: Concepts, Patterns, Trends, and Perspectives. Annual Review of Environment and Resources, v. 47, p. 120-129, 2022.
FELSENSTEIN, J. Evolutionary trees from DNA sequences: A maximum likelihood approach. Journal of Molecular Evolution, v. 17, p. 368– 376, 1981.
GAMAGE, S.N. et al. The taxonomy, distribution, and conservation status of the slender loris (Primates, Lorisidae: Loris) in Sri Lanka. Journal of Primate Conservation, v. 30, p. 1-25, 2017.
GROVES, C.P. Primate Taxonomy. Smithsonian Institution Press: Washington, DC, USA, 2001. p. 25-89.
HETTIARACHCHI, C.J. et al. Habitat suitability model for the montane Slender Loris in the Hakgala strict nature reserve, Sri Lanka. Asian Primates Journal, v. 7, n. 1, p. 14-19, 2018.
HOFFMAN, J.D. et al. Predicting potential occurrence and spread of invasive plant species along the North Platte River, Nebraska. Invasive Plant Science and Management, v. 1, p. 359-367, 2008.
JANSEN, R. et al. A Bayesian networks approach for predicting protein-protein interactions from genomic data. Science, v. 302, p. 449-453, 2003.
MACKENZIE, D.I. Assessing site occupancy modelling as a tool for monitoring Mahoenui giant wet populations. DOC Science Internal Series Department of Conservation Press: Wellington, New Zealand, 2003. p. 145-160.
MAHANAYAKAGE, C.A. An anthropogenic threat to Montane Slender Loris. 2013. Doctoral dissertation (Dissertation for Diploma in Environment Management) - Faculty of Graduate Studies Press, University of Colombo, Sri Lanka.
MCELROY, J.L. Tourism development in small islands across the world. Geografiska Annaler: Series B. Human Geography, v. 85, n. 4, p. 231- 242, 2003
MYERS, N. et al. Biodiversity hotspots for conservation priorities. Nature, v. 403, n. 6772, p. 853, 2000. NEKARIS, A. Loris tardigradus ssp. nycticeboides. The IUCN Red List of Threatened Species, 2008.
NEKARIS, K.A.I.; JAYAWARDENE, J. Survey of slender loris (Primates, Lorisidae Grey, 1821: Loris tardigradus Linnaeus, 1758 and Loris lydekkerianus Cabrera, 1908) in Sri Lanka. Journal of Zoology, v. 262, p. 327–338, 2004.
ORTEGA-HUERTA, M.; TOWNSEND, P. Modelling ecological niches and predicting geographic distributions: a test of six presence-only methods. Revista Mexicana de Biodiversidad, v. 70, p. 205-216, 2008.
PETERSON, A.T.; KLUZA, D.A. New distributional modelling approaches for gap analysis. In: Animal Conservation Forum. Cambridge: Cambridge University Press., 2003. p. 47-54.
RAMBAUT, A. Se-Al: Sequence Alignment Editor (Se-Al v2.0a11). 1996. Disponível em: .
RONQUIST, F.; HUELSENBECK, J.P.; BAYES, E. Bayesian phylogenetic inference under mixed models. Bioinformatics, v. 19, p. 1572-1574, 2003.
SOBERON, J.; PETERSON, A.T. Interpretation of models of fundamental ecological niches and species’ distributional areas. Oxford: Havana press, 2005. p. 132-180.
TODUA, V. Endemic Flora and Fauna of Georgia, Biodiversity, Peculiarities and Ecology. Advances in Ecological and Environmental Research, 2018. p.108-120. WHITE, L.; EDWARDS, A. Methods for assessing the status of animal populations. In: L.
WHITE, L.; EDWARDS, A. (Ed.), Conservation Research in the African Rainforests: A Technical Handbook, Wildlife Conservation Society Press, New York, 2000. p. 191-201
