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Interrelation of Diversity Levels of Land Cover and Lithology and the Anthropogenic Impact on Canopy Cover in the Mountainous Area

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F.E. Gulieva

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The spatial pattern of the landscape depends on the environment factors and anthropogenic activity. The human activity has widely modified the original type of land cover and signifi-cantly has changed the level of the external impact on the landscape. The level and the result of anthropogenic factor intrusion into the interrelation of the landscape and the environment are of current interest. The factors, reflecting the influence of the environment, cause a greater degree of variability of the main types of land cover than the geographical factors. Moreover, such factor as a lithology coefficient can characterize the distribution of forest and productivity types of land cover. The paper considers the development question of prac-tical recommendations on the optimal experimental studies to determine the interrelation of the Shannon diversity factor of land cover and of the lithological factor. The analysis of the interrelation indicates that the formulated question can be successfully solved by the formu-lation of the minimization problem of the residual information in the area, formed by the curve of the single-factor analysis of dependence of the diversity coefficients of land cover and lithology. The analysis of existing materials demonstrates the lack of the models taking into account both direct and indirect impacts of the anthropogenic factor on forests. We pre-sent such model where the indirect effect is realized using the landslide factor, which is a cumulative indicator of different anthropogenic factors. The synthesis problem of the ex-treme mode of felling by optimizing the developed model is formulated and solved.


F.E. Gulieva, Postgraduate Student


National Aerospace Agency, S.S. Akhundova ul., 1, Baku, AZ1115, Azerbaijan; e-mail:


lithology, landscape, optimization, diversity, anthropogenic activity, measurement.

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Gulieva F.E. Interrelation of Diversity Levels of Land Cover and Lithology and the Anthropogenic Impact on Canopy Cover in the Mountainous Area. Lesnoy zhurnal (Forestry journal), 2016, no. 6, pp. 76–88. DOI: 10.17238/issn0536-1036.2016.6.76


1. Elsgol'ts L.E. Differentsial'nye uravneniya i variatsionnoe ischislenie [Differential Equations and Calculus of Variations]. Moscow, 1969. 430 p.
2. Arekhi S. Modeling Spatial Pattern of Deforestation Using GIS and Logistic Re-gression: A Case Study of Northern Ilam Forests, Ilam Province, Iran. African J. of Biotech-nology, 2011, vol. 10(72), pp. 16236–16249.
3. Becek K., Odihi J.O. Identification and Assessment of Factors Affecting Forest Depletion in Brunei Darussalam. The international Archives of the Photogrammetry, Re-mote Sensing and Spatial Information Sciences. Beijing, 2008, vol. XXXVII, part B2.
4. Dixon M.D. Landslide Computer Modeling Potential. Available at: http://www. (accessed 10.10.2015).
5. Gorsevski P.V., Gessler P.E., Boll J., Paul E., Elliot W.J., Foltz R.B. Spatially and Temporally Distributed Modeling of Landsline Susceptibility. Geomorphology, 2006, vol. 80, pp. 178–198.
6. Hajiyeva A. Risks and Threats Emerging Due to Anthropogenic Transformations on the South-Eastern Slope of the Greater Caucasus. J. of Agriculture and Life Sciences, 2015, vol. 2, no. 1 pp. 173–180.
7. Impacts of Anthropogenic and Environmental Factors on the Occurrence of Shallow Landslides in an Alpine Catchment. Natural Hazards and Earth System Sciences, 2008, vol. 8, pp. 509–520. Available at: (accessed 10.10.2015).
8. Mas J.-F., Paegelow M., De Jong B., Masera O., Guerrero G., Follador M., Olguin M., Diaz J.R., Castillo M.A., Garcia T. Modeling Tropical Deforestation: A Comparison of Ap-proaches. 32nd Symposium on Remote Sensing of Environment. San Jose, Costa Rica, June 2007. Available at: (accessed 10.10.2015).
9. Mas J.F., Puig H., Palacio J.L., Sosa-Lopez A. Modeling Deforestation Using GIS and Artificial Neural Networks. Environmental Modeling & Software, 2004, vol. 19, pp. 461–471.
10. Nikolaishvili D., Dvalashvili G. Anthropogenic Changes of Caucasus Forest Landscapes. Earth Sciences, 2015, vol. 4, iss. 5-1, pp. 54–59.
11. Nogues-Bravo D. Assessing the Effect of Environmental and Anthropogenic Fac-tors on Land-Cover Diversity in a Mediterranean Mountain Environment. Area, 2006, no. 38(4), pp. 432–444.
12. Olabisi L. Sch. The System Dynamics of Forest Cover in the Developing World: Researcher Versus Community Perspectives. Sustainability, 2010, no. 2, pp. 1523–1535.
13. Ortega M., Bunce R.G.H., Garcia del Barrio J.M., Rossello E.R. The Relative De-pendence of Spanish Landscape Pattern on Environmental and Geographical Variables Over Time. Investigacion Agraria. Sistemas y Recursos Forestales, 2008, vol. 17(2), pp. 114–129.
14. Pahari K., Murai Sh. Modeling for Prediction of Global Deforestation Based on the Growth of Human Population. Journal of Photogrammetry and Remote Sensing, 1999, vol. 54, pp. 317–324.
15. Ren D., Leslie L.M. Landslides Caused Deforestation. Deforestation. Ed. by A. Lazi-nica. Croatia, Rijeka, 2012. Available at: (accessed 10.10.2015).
16. What are the Major Causes of Deforestation? Available at: http://www. (accessed 11.10.2015).
17. World Population From Year 0 to Stabilization. Population Division, Department of Economic and Social Information and Policy Analysis, United Nations, 1994.
Received on February 26, 2016

Interrelation of Diversity Levels of Land Cover and Lithology and the Anthropogenic Impact on Canopy Cover in the Mountainous Area


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