Habitat suitability modeling of Gazella (Gazella subgutturosa) in Golestan National Park

Document Type : Biodiversity

Authors

1 Department of Environmental Sciences, Faculty ox:4913of Fisheries and Environment, Gorgan University of Agricultural Sciences and Natural Resources, P.O. B8-15739, Gorgan, Iran

2 Golestan Environmental Protection Agency

Abstract

Planning for the protection of wildlife species without knowledge of the ecological requirements of these species and their interaction with the habitat is not possible. Habitat suitability models today have many applications in ecology studies using GIS and statistical software release with linking environmental variables. Gazella has been classified as a vulnerable species in the IUCN Red List.In this study, the presence points of species used as a dependent variable and eight environment variable used as an independent variables such as maps elevation, slope map, map directions, map location villages, map road asphalt and dirt, map location stations rangers, maps of water and Streams. So these layers were prepared and analyzed. Based on the amount of specialization, the most important factors affecting the ecological niche of study slope,distance from the road and distance from the rangers stations. Gazella habitat suitability maps prepared in this study to show such a favorable habitat for Gazella has been very limited in Golestan National Park.

Keywords


  1. Bayan, T.L. and Metaxas, A., 2007. Predicting suitable habitat for deep – water gorgonian corals on the Atlantic and Pacific Continentale Margins of North America. Mariane Ecology Progress Series. Vol. 330, pp: 113-126.
  2. Hirzel, A., 2004. Biomapper 3 user, s manual.
  3. Hirzel, A.; Hausser, J.; Chessel, D. and Perrin, N.,2002. Ecological Niche Factor Analysis: how to compute habitat suitability maps without absence data. Ecology. Vol. 83,
    pp: 2027-2036.
  4. Hirzel, A.; Le Lay, G.; Helfer, V.; Randin, C. and Guisan, A., 2006. Evaluating the ability of habitat suitability models to predict species presences. Ecological Modeling. Vol. 199, pp: 142-152.
  5. Jepsen, J.U.; madsen, A.B. and karlsson, M.D., 2005. Predicting distribution and density of European badger (Meles meles) setts in Denmark. Biodiversity and Conservation. Vol. 14, pp: 3235-3253.
  6. Levins, R., 1966. The strategy of model building in population ecology. American scientist. Vol. 421,
    pp: 421-431.
  7. Olivier, F. and Wotherspoon, S.J., 2006. Modeling habitat selection using presence-only data: Case study of a colonial hollow nesting bird, the snow petrel. Ecological Modeling. Vol. 195, pp: 187-204.
  8. Pearson, R.G., 2007. Species’ distribution modeling for conservation educators and practitioners, American Museum of Natural History, Available at http:// ncep.amnh.org.
  9. Shams Esfandabad, B.; Karami, M.; Hemami, M.R. and Sadough, M.B., 2010. Habitat associations of wild goat in central Iran: implications for conservation. Eur J Wildl Res. Vol. 56, pp: 883-894.
  10. Tremblay, A.M. and Dibb, A.D., 2002. Modelling and Restoration of Bighorn sheep habitat within and adjacement to Koo twnay national park, British Columbia. Ecological Modelling. Vol. 163, pp: 251-264.
  11. Unger, D.E., 2008. Ecological Niche Factor Analysis to Determine Habitat Suitability of a Recolonizing Carnivore. 6th southern Forestry and Natural resources GIS Conference.
  12. Weinberg, P.; Jdeidi, T.; Masseti, M.; Nader, I.; de Smet, K. and Cuzin, F., 2008. Capra aegagrus. In: 2008 IUCN Red List of Threatened Species.
  13. Wiens, A., 1999. Spatial scaling in ecology. Journal of Functional Ecology. Vol. 3, pp: 385-397.