Determining the Probable corridors for Persian leopard between Golestan national park and KHoshyailagh wildlife refuge by using Circuitscape theory

Document Type : Ecology

Authors

1 Department of Environment, Faculty of Fisheries and Environment, Gorgan University of Agricultural Sciences and Natural Resources, Iran

2 Department of Environment, Faculty of Natural Resources, Kurdistan University, Sanandaj, Iran

Abstract

Maintaining and restoring the relationship between different parts of the terrestrial landscape requires communication models and indicators that are reliable and efficient. One of these models is a communication model based on electrical circuit theory. To predict the pattern of movement in terrestrial landscape, identification of important habitat spots and corridors with the aim of planning for conservation has been used. Electricity is a network of nodes connected to each other by the resistors (electrical conductive parts of the current) and the amount of flow through the nodes is determined by the potential difference and the resistors. The circuit theory assumes that the terrestrial image is a conductive surface that converts each pixel into a node and connects it to adjacent electrical circuits. In this study, the desirability of the Iranian leopard habitat in two habitats of Khobyyalagh wildlife sanctuary and Golestan National Park was investigated by means of factor analysis of ecological niches and Biomper software. The data layers used as variables affecting the presence of species including elevation, slope, and vegetation index (NDVI), distance from roads, distance from villages, springs and rivers. Also, in the present study, the theory of electrical circuits was used to investigate the Iranian lagoon habitat links between the two habitats, and based on flow maps, movement patterns and functional communication for target species as well as important communication areas in the study area were identified.

Keywords

References

  1. driaensen, F.; Chardon, J.P.; De Blust, G.; Swinnen, E.; Villalba, S.; Gulinck, H. and Matthysen, E., 2003 The application of ‘least-cost’ modelling as a functional landscape model. Landscape and Urban Planning. Vol. 64, pp: 233-247.
  2. Beier, P. and Noss, R.F., 1998. Do habitat corridors provide connecti vity? Conservation Biology. Vol. 12, No. 6,
    pp: 1241-1252.
  3. Bunn, A.G.; Urban, D.L. and Keitt, T.H., 2000. Landscape connectivity: A conservation application of graph theory. Journal of Environmental Management, Vol. 59. pp: 265-278.
  4. Corlatti, L.; Hacklander, K. and Frey‐Rous, F., 2009. Ability of wildlife overpasses to provide connectivity and prevent genetic isolation. Conservation Biology.
  5. Crooks, K.R., 2002. Relative sensitivities of mammalian carnivores to habitat fragmentation. Journal of conservation biodiversity. Vol. 16, No. 2, pp: 488-502.
  6. Crooks, K.R. and Sanjayan, M., 2006. Connectivity Conservation. Cambridge University Press, Cambridge,
    UK. 732 p.
  7. Darvish Sefat, A., 2006. Atlas of protected areas of Iran. Department of the Environment, Iran. 157 p.
  8. Estrada, E. and Bodin, O., 2008. Using network centrality measures to manage landscape connectivity. Ecological Applications. Vol. 18, pp: 1810-1825.
  9. Galparsoro, I.; Borja, A.; Bald, J.; Liria, P. and Chust, G., 2009. Predicting sustainable habitat for the European lobster (Homarus gammarus), on the basque continental shelf (Bay of Biscay), using ecological-niche factor analysis. Ecological Modeling. Vol. 220, pp: 550-567.
  10. Gibson, L.A.; Wilson, B.A.; Cahill, D.M. and Hill, J., 2003. Modeling habitat suitability of the Swamp Antechinus. Biological Conservation Vol. 117, No. 2, pp: 143-150.
  11. Hansen, A.J. and Defries, R., 2007. Ecological mechanisms linking protected areas to surrounding lands. Journal of Ecological Applications. Vol. 17, pp: 974-988.
  12. Hirzel, A.H.; Hausser, J. and Perrin, N., 2007. Biomapper 4.0, Laboratory for Conservation Biology, ِDepartment of Ecology and Evolution, University of Lausanne, Switzerland. URL, Viewed 10 November 2010. http://www2.unil.ch/ biomapper.
  13. Hirzel, A.H., 2001. When GIS come to life. Linking landscape- and population ecology for large population man agement modelling: the case of Ibex (Capra ibex) in Switzerland. PhD Thesis. Faculté des Sciences de L’ Université de Lausanne. 114 p.
  14. Huntera, L.; Balme, G.; Walker, C.; Pretorius, K. and Rosenberg, K., 2003. The landscape ecology of leopards (Panthera pardus) in northern KwaZula-natal, South Africa: A preliminary project report. Ecological journal. pp: 88-94.
  15. McRae, B.H.; Dickson, B.; Keitt, T.H. and Shah, V., 2008. Using circuit theory to model connectivity in ecology, evolution and conservation. Journal of Ecology. Vol.89, No. 10, pp: 2712-2724.
  16. McRae, B.H., 2006. Isolation by resistance. Journal of Evolution. Vol. 60, pp: 1551-1561.
  17. McRae, B.H. and Beier, P., 2007. Circuit theory predicts gene flow in plant and animal populations. Journal of Proceedings of the National Academy of Sciences of the United States of America. Vol. 104, pp: 19885-19890.
  18. McRae, B.H. and Shah, V.B., 2011. Circuitscape User Guide. The University of California, Santa Barbra.
  19. McRae, B.H.; Dickson, B.; Keitt, T.H. and Shah, V., 2008. Using circuit theory to model connectivity in ecology, evolution and conservation. Journal of Ecology. Vol. 89, No. 10, pp: 2712-2724.
  20. Mertzanis, G.; Korakis, G.; Kallimanis, A.; Sgardelis, S.T. and Aravidis, I., 2006. Bear habitat suitability in relation to habitat types of European interest in NE pindos mountain range, Greece. pp: 321-326.
  21. Minor, E.S. and Urban, D.L., 2007. Graph theory as a proxy for spatially explicit population models in conservation planning. Journal of Ecological Applications. Vol. 17, pp: 1771-1782.
  22. Roever, C.L.; Van Aarde, R.J. and Leggett, K., 2012. Functional responses in the habitat selection of a generalist mega-herbivore, the African savannah elephant. Ecography. Vol. 35, pp: 1-11.
  23. Roever, C.L.; Van, A.R.J. and Leggett, K., 2013. Functional connectivity within conservation networks: Delineating corridors for African elephants. Journal of Biological Conservation. Vol. 157, pp: 128-135.
  24. Srisang, W.; Jaroensutasinee, K. and Jaroensutasinee, M., 2007. Assessing habitat suitability models with a virtual species aat Khao Nan national park, Thailand. Proceeding of world academy of science. Engineering and technology. Vol. 21, pp: 1307-6884.
  25. Walpole, A.A.; Bowman, J.; Murray, D.L. and Wilson, P.J., 2012. Functional connectivity of lynx at their southern range periphery in Ontario, Canada. Landscape Ecology. Vol. 27, pp: 761-773.
  26. Wang, X.; Weihua, X. and Ouyang, Zh., 2009. Integrating population size analysis into habitat suitability assessment: implications for giant panda conservation in the Minshah Mountain, China. The Ecological Society of Japan.
  27. Wang, Y.; Yang, K. Bridgman, C.L. and Lin, L., 2008. Habitat suitability modeling to correlate gene flow with landscape connectivity. Journal of Landscape Ecology. Vol. 23, pp: 989-100.
Journal of Animal Environment
Volume 11, Issue 1
May 2019
Pages 1-12

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