Analysis of land use and land cover using ecological landscape metrics (case study: Arasbaran region)

Document Type : Original Article

Authors

Department of Forestry and Forest Economic, Faculty of Natural Resources, University of Tehran, Karaj, Iran

Abstract

Introduction:
A landscape is a heterogeneous and vast region consisting of a set of patches, habitats, and repetitive environmental elements. In recent studies, various metrics have been used to investigate the structure, function, and landscape pattern changes. The metrics are quantitative indices that describe the structural and spatial properties of the landscape. The objective of this study was to obtain information on the current status of different land use classes and the analysis of complex relationships among classes in Arasbaran region.
Material and methods:
In this regard, a land use/land cover (LULC) map with seven classes (i.e., high-density forest, low-density forest, agriculture, grassland, barren land, water, and urban area) was produced from Landsat 8 OLI imagery (2014) and ancillary data. Eighteen different landscape metrics including area metrics, shape metrics, isolation and proximity metrics and diversity metrics were calculated for each class and landscape level.
Results and discussion:
Results showed that the high-density forest and grassland form the main elements of Arasbaran landscape with 30.76% and 30.03% of the Percentage of landscape, respectively. The metrics of number and density of patches showed that grassland and low-density forest classes had the highest number of patches compared to other land use classes and so are the finest grained land use classes in the area. The largest patch index also showed that 4.76 percent of the landscape was occupied by the largest high-density forest patch. The total edge and edge density indicated that the majority of the area is covered by high-density forest and it provides the longest border with other land uses. Based on the shape metric, urban area and barren land have the most dispersion. In addition, the urban area and high-density forest are the most discontinuous and continuous land uses in the landscape, respectively. Based on the mean of Euclidean distance, the distance between the high-density forest patches is the minimum and the distance between the urban patches is the maximum metric. In total, the study area is composed of 802 LULC patches. Also, based on Shannon and Simpson diversity and uniformity metrics, the area is diverse and heterogeneous.
Conclusion:
Considering the fine-grained grasslands and forests with high (dis) connectivity, the dispersion of urban areas, and the extent of agricultural lands, an increasing rate of changes in the land use can be estimated in the future. The future changes can be as removing small patches of grassland and forests, and expansion of the urban and agricultural classes.

Keywords


  1. Aguilera, F., Valenzuela, L.M. and Botequilha-Leitão, A., 2011. Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area. Journal of Landscape and Urban Planning. 99(3-4), 226-238.
  2. Alijanpour, A., Rad, E.J. and Shafiei, A.B., 2009. Investigation and comparison of two protected and non-protected forest stands regeneration diversity in Arasbaran. Iranian Journal of forest. 1(3), 209-217.
  3. Campagnaro, T., Frate, L., Carranza, M.L. and Sitzia, T., 2017. Multi-scale analysis of alpine landscapes with different intensities of abandonment reveals similar spatial pattern changes: Implications for habitat conservation. Journal of ecological indicators. 74, 147-159.
  4. Darvishi, A., Fakheran, S., Saffyanian, A. and Ghorbani, M., 2012. Quantifying landscape spatial pattern changes in the Caucasian Black Grouse (Tetrao mlokosiewiczi) habitat in Arasbaran biosphere reserve. Iranian journal of applied ecology. 2(5), 27-38.
  5. Darvishsefat, A.A., 2006. Atlas of protected areas of Iran. University of Tehran press, pp175.
  6. Huang, C., Yang, H., Li, Y., Zou, J., Zhan, Y., Chen, X., Mi, Y. and Zhang, M., 2015. Investigating changes in land use cover and associated environmental parameters in Taihu Lake in recent decades using remote sensing and geochemistry. Plos One. 10(4), 1-16.
  7. Jafari, Sh., Akizadeh Shabani, A., Samani, A.K. and Jafari, K., 2012. Study on the relationship between DIVISION and MESH metrics for the analysis of land cover fragmentation in Sorkhhesar National park. The 1st international conference of LALE-Iran.
  8. Ghosh, A., Munshi, M., Areendran, G. and Joshi, P.K., 2012. Pattern space analysis of landscape metrics for detecting changes in forests of Himalayan foothills. Asian journal of geoinformatics. 12(1), 1-12.
  9. Jabarian Amiri, B., Asgarian, A. and Sakieh, Y., 2016. Introducing landscape accuracy metric for spatial performance evaluation of land use/land cover change models. Geocarto international. 32(11), 1171-1187.
  10. Karami, A. and Feghhi, J., 2012. Controlling and comparison of North and South Zagros land use using landscape ecology approach (Case Study: Provinces of Kurdistan and Kohgiloyeh and Boyer Ahmad). Journal of town and country planning. 4(6). 5-34.
  11. Kupfer, J.A., 2012. Landscape ecology and biogeography: rethinking landscape metrics in a post-FRAGSTATS landscape. Progress in physical geography. 36(3), 400-420.
  12. Lausch, A., Blaschke, T., Haase, D., Herzog, F., Syrbe, R.U., Tischendorf, L. and Walz, U., 2015. Understanding and quantifying landscape structure-A review on relevant process characteristic, data models and landscape metrics. Journal of ecological modelling. 295, 31-41.
  13. Makhdoum, M., 2008. Landscape ecology or environmental studies (Land Ecology) (European Versus Anglo-Saxon schools of thought). Journal of International environmental application and science. 3(3), 147-160.
  14. McGarigal, K., 2001. Introduction to landscape ecology. Duke University, Private University in Durham, North Carolina, USA.
  15. Midha, N. and Mathur, P.K., 2010. Assessment of forest fragmentation in the conservation priority Dudhwa Landscape, India using Fragstats computed class level metrics. Journal of the Indian society of Remote Sensing. 38(3), 487-500.
  16. Mirzayi, M., Riahi Bakhtyari, A., Salman Mahini, A. and Gholamalifard, M., 2013. Investigating the land cover changes in Mazandaran Province using landscape ecology’s metrics between 1984-2010. Iranian Journal of applied ecology. 2(4), 37-55.
  17. Nasiri, V., Darvishsefat, A.A., Shirvany, A. and Avatefi Hemmat, M., 2014. Monitoring and predicting land use changes using temporal satellite images and GIS (Case study: Arasbaran region). Thesis. University of Tehran, Iran.
  18. Nohegar, A., Jabarian Amiri, B. and Afrakhte, R., 2015. Land use analysis on Guilan central district using landscape ecology approach. Geography and territorial spatial arrangement. 15(5), 197-213.
  19. Sarhangzadeh, J. and Makhdoum, M., 2002. Land use planning of Arasbaran protected area. Journal of environmental studies. 28(30), 31-42.
  20. Shabani, N., Abarkar, M., Parivar, P. and Kouchackzadeh, M., 2011. Introducing and applying landscape ecological approach in city scale (case study: the city of Tehran). Journal of environmental science and technology. 12(4), 185-197.
  21. Soleymannejad, L., Feghhi, J., Makhdoum, M. and Namiranian, M., 2014. Spatial pattern analyses of Tehran parks by using landscape metrics. Journal of environmental research. 5(9), 25-34.
  22. Taheri Sartashnizi, F., Feghhi, J., Danekar, A. and Khamane, S.B., 2014. Application of landscape metrics in gradient analysis of urban green spaces. Journal of science and environmental engineering. 1(2), 23-33.
  23. Talebi Amiri, Sh., Azari Dehkordi, F., Sadeghi, H.R. and Sofbaf, R., 2009. Study on landscape degradation in Neka watershed using landscape metrics. Journal of environmental research. 6(3), 133-144.
  24. Uuemaa, E., Antrop. M., Roosaare, J. and Marja, R., 2018. Landscape Metrics and Indices: An Overview of Their Use in Landscape Research. Living Reviews in Landscape Research. 3. 10.12942/lrlr-2009-1.
  25. Yuan, J., Cohen, M.J., Kaplan, D.A., Acharya, S., Larsen, L.G. and Nungesser, M.K., 2015. Linking metrics of landscape pattern to hydrological process in a lotic wetland. Journal of landscape Ecology. 30(10), 1893-1912.
  26. Uuemaa, E., Antrop, M., Roosaare, J., Marja, R. and Mander, U., 2009. Landscape metrics and indices: An overview of their use in landscape research. Living reviews in landscape research, 3(1), 1-28.
  27. Zebardast, L., Yavari, A.R., Salehi, E. and Makhdoum, M., 2012. Using landscape ecological metrics to investigate impacts of road on structural changes in Golestan National Park during 1987 to 2010. Journal of environmental research, 2(4), 11-20.