Species distribution modeling techniques as a tool in preliminary assessment of special nature reserve ,,Goč-Gvozdac’’

Tijana R Čubrić

Abstract


Effective conservation actions such as defining new nature reserve require accurate estimates of the spatial distributions of the target species. Species distribution models provide habitat suitability maps for studied species. In this paper we used Maxent software to estimate the distribution and extent of potential suitable habitat of five amphibian and reptilian species (Mesotriton alpestris, Bombina variegata, Testudo hermanni, Lacerta viridis and Vipera ammodytes) in the special nature reserve “Goč-Gvozdac” (Central Serbia) in order to assess how much of the potential habitats is included in this reserve. Comparing produced suitable habitat maps of the species with a map of the special nature reserve “Goč – Gvozdac” we concluded that the reserve boundaries do not coincide with the proposed distribution of suitable habitats for M. alpestris, T. hermanni, L. viridis and V. ammodytes, and therefore this reserve does not contribute much to the protection of local populations of these species.


Keywords


species distribution modeling; Maxent; nature reserve; reptiles; amphibians.

Full Text:

PDF

References


Andelman, S.J., Willing, M.R. 2002: Alternative configurations of conservation reserves for Paraguayan bats: Considerations of spatial scale. Conservation Biology, 16: 1352-1363.

Anonymous, 1992: Council Directive on the conservation of natural habitats and of wild fauna and flora 92/43/EEC.

Araujo, M.B., Williams, P.H., Fuller, R.J. 2002: Dynamics of extinction and the selection of nature reserves. Proceedings of the Royal Society of London Series B-Biological Sciences 269: 1971–1980.

Araújo, M. B., Williams, P. H. 2000: Selecting areas for species persistence using occurrence data. Biological Conservation, 96 (3): 331-345.

Bombi P. 2010: Toward a new instrument for identifying the Italian hotspots of biodiversity: A case study of the amphibians and reptiles of Sicily. Italian Journal of Zoology, 77: 453-459.

Church, R. L., Stoms, D. M., Davis, F. W. 1996: Reserve selection as a maximal covering location problem. Biological Conservation, 76 (2): 105-112.

Cabeza, M., Araújo, M. B., Wilson, R. J., Thomas, C. D., Cowley, M. J., Moilanen, A. 2004: Combining probabilities of occurrence with spatial reserve design. Journal of Applied Ecology, 41 (2): 252-262.

Corsi, F. 2000: Modelling species distribution with GIS. In: Boitani, L. and Fuller, T. K. (eds), Research techniques in animal ecology; controversies and consequences. Columbia Univ. Press, pp. 389-434.

Faraggi D, Reiser B. 2002: Estimation of the area under the ROC curve. Statistics in Medicine, 21: 3093–3106.

Fielding AH, Bell JF. 1997: A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24: 38–49.

Guisan, A., Thuiller, W. 2005: Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8 (9): 993-1009.

Guisan, A., Zimmermann, N. E. 2000: Predictive habitat distribution models in ecology. Ecological Modelling, 135: 147-186.

Hernandez, P. A., Graham, C. H., Master, L. L., Albert, D. L. 2006: The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29 (5): 773-785.

Kiester, A. R., Scott, J. M., Csuti, B., Noss, R. F., Butterfield, B., Sahr, K.,White, D. 1996: Conservation prioritization using GAP data. Conservation Biology, 10 (5): 1332-1342.

Lefsky, M.A., Cohen W.B., Parker G.G., Harding D.J. 2002: Lidar remote sensing for ecosystem studies. BioScience, 52: 19-30.

Loiselle, B. A., Howell, C. A., Graham, C. H., Goerck, J. M., Brooks, T., Smith, K. G., Williams, P. H. 2003: Avoiding pitfalls of using species distribution models in conservation planning. Conservation Biology, 17 (6): 1591-1600.

Phillips, S.J., Anderson, R.P., Schapire, R.E. 2006: Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190: 231–259.

Pressey, R. L., Nicholls, A. O. 1989: Efficiency in conservation evaluation: scoring versus iterative approaches. Biological Conservation, 50 (1): 199-218.

Rodríguez-Rey, M., Jiménez-Valverde, A., Acevedo, P. 2013: Species distribution models predict range expansion better than chance but not better than a simple dispersal model. Ecological Modelling, 256: 1-5.

Ruston, S.P., Ormerod S.J., Kerby G. 2004: New paradigms for modeling species distributions? Journal of Applied Ecology, 41: 193 –200.

Rondinini, C., Stuart, S., Boitani, L. 2005: Habitat suitability models and the shortfall in conservation planning for African vertebrates. Conservation Biology, 19 (5): 1488-1497.

Rondinini, C., Wilson, K. A., Boitani, L., Grantham, H., Possingham, H. P. 2006: Tradeoffs of different types of species occurrence data for use in systematic conservation planning. Ecology Letters, 9 (10): 1136-1145


Refbacks

  • There are currently no refbacks.