Quantifying the Fragmentation of Landscape as an Index for the Assessment of the Wildlife Habitat (Case Study: Protected Area of Jajroud)

Document Type : Animal environment

Authors

1 Department of Natural Environment and Biodiversity, Faculty of Environment, Karaj, Iran, POBox: 118-31746

2 Department of Natural Environment and Biodiversity, Faculty of Environment, Karaj, Iran, PO Box: 118-31746

3 Department of Natural Resources-Environment, Faculty of Natural Resources, University of Tehran, Karaj, Iran

Abstract

Integrity and connectivity of habitats in protected areas is important for the plants survival and animals' populations. Investigating on the integrity of areas could help to interconnect islanded patches and preventing the negative impacts of fragmentations. This study aimed to quantify the fragmentations of the landscape to study the habitat of the important wildlife species in Jajroud protected area. To achieve this goal, after preparing area land use map using remote sensing and geographic information system techniques, the fragmentation elements were extracted to create fragmentation geometries. The acquired data were employed to study structure and the wild goat habitat integrity, wild sheep, the leopard and gazelle considering the landscape metrics. The results indicate that, the greatest increase in the fragmentation in landscape and between animal habitats has been happened due to the obstacles of the first geometry, which is included man-made lands and asphalt roads. Also, the greatest increase in fragmentation for wild sheep and gazelle occurred in first geometry, for wild goat in second geometry (garden) and for leopard in the fourth geometry (dam). Many conflicts pass through the sensitive species habitats of the wildlife, and the irreparable effects of conflicts will be more identified in the long term. The results of this research indicate that by analyzing landscape metrics in protected areas, it is possible to identify and prioritize the most important obstacles of maintaining the integrity of the habitat of different wildlife species; and also planning for the conservation of the habitat of the wildlife species will be prepared.

Keywords


  1. Ahern, j. and Andre, L., 2003. Applying landscape ecological concepts and metrics in sustainable landscape planning. landscape and urban planning. Vol. 59, pp: 65-93.
  2. Anderson, J.R.; Hardy, E.E.; Roach, J.T and Witmer, R.E., 1976. Lands cover classification system for use with remote sensor data. United States Government Printing Office. Washington, USA. pp: 80-85.
  3. Bennett, A.F., 2003. Linkages in the landscape. The role of corridors and connectivity in wildlife conservation 2nd ed. IUCN. The World Conservation Union, Gland. 262 p.
  4. Crooks, K.R., 2002. Relative sensitivities of mammalian carnivores to habitat fragmentation. Journal of conservation biodiversity. Vol.16, No. 2, pp: 488-502.
  5. Dramstad, W.E.; Olson, J.D. and Forman, R.T.T., 1996. Landscape Ecology Principles in Landscape Architecture and Land Use Planning, Washington, DC. Harvard University Graduate School of Design. Island Press and the American Society of Landscape Architects. 80 p.
  6. Fahrig, L., 2003. Effects of habitat fragmentation on biodiversity. Annual Review of Ecology Evolution and Systematic. Vol. 34, pp: 487-515.
  7. Girvetz, E.H.;Thorne, J.H.; Berry, A.M. and Jeager, J.A.G., 2008. Integration of landscape fragmentation analysis into regional planning: A statewide multi-scale case study from California, USA. Vol. 86, No. 3-4, pp: 205-218.
  8. Jaeger,J.,2002. Landscape fragmentation: A transdisciplinary study according to the concept of environmental Threat Verlag Eugen Ulmer, Stuttgart, Germany. 447 p.
  9. Jaeger, J.A.G.; Bertiller, R.; Schwick, C.; Muller, K.; Steinmeier, C.; Ewald, K.C. and Ghazoul, J., 2008. implementing landscape fragmentation as an indicator in the swiss monitoring system of sustainable development. Environmental management. Vol. 88, No. 4, pp: 737-751.
  10. Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. Pearson Prentice Hall.
  11. Leitao, A.B. and Ahren, J., 2002. Applying landscape ecological concepts & metrics in sustainable landscape planning. Landscape and urban planning. Vol. 59, pp: 65-93.
  12. Mairota, P.; Cafarelli, B.; Boccaccio, L.; Leronni, V.; Labadessa, R.; Kosmidou, V. and Nagendra, H., 2013. Using landscape structure to develop quantitative baselines for protected area monitoring. Ecological indicators. Vol. 33, pp: 82-95.
  13. McGarigal, K. and Marks, B.J., 1995.Fragstats: Spatial pattern analysis program for quantifying landscape structure. forest science department. Oregon state university, Corvallis.
  14. Pichancourt, J.B.; Burel, F. and Auger, p., 2006. Assessing the effect of habitat fragmentation on population dynamics: an implicit modeling approach. Ecological modeling. Vol. 192, No. 3-4, pp: 543-556.
  15. Saunders,S.C.; Mislivets, M.R.; Chen, J.; Cleland, D.T., 2002. Effects of roads on landscape structure within nested ecological units of the northern great lakes region, USA. Biological conservation. Vol. 103, No. 2, pp: 209-225.
  16. Scariot, E.C.; Almeida, D. and Santos, J.E.D., 2015. Connectivity dynamics of araucaria forest and grassland surrounding passo fundo national forest, Southern Brazil. Natureza & conservação. Vol. 13, No. 1, pp: 54-59.
  17. Townsend,P.A.; Lookingbill, T.R.; Kingdon, C.C. and Gardner, R.H., 2009. Spatial pattern analysis for monitoring protected area. Remote sensing of environment. Vol. 113, No. 7, pp: 1410-1420.