Gulieva F.E., Alizade E.K., Ismailov K.Kh., Abdulov R.N. The Method for Optimum Selection of Land Plots for Urgent Forest Plantations in the Desert Areas

DOI: http://dx.doi.org/10.15688/jvolsu11.2016.2.4

Fidan Elkhan gyzy Gulieva
Postgraduate Student, National Aerospace Agency of Azerbaijan
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Rakhiba Mamedova St., 25, AZ1123 Baku, Republic of Azerbaijan
 
Elbrus Kerim ogly Alizade
Doctor of Geographical Sciences, Professor, Deputy Director of Institute of Geography,
National Academy of Sciences of Azerbaijan
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G. Dzhavida St., 31, AZ1143 Baku, Republic of Azerbaijan
 
Kamal Kheyraddin ogly Ismailov
Doctor of Technical Sciences, Professor,
National Academy of Aviation of Azerbaijan
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Bina Village, 25-y km, AZ1045 Baku, Republic of Azerbaijan
 
Rauf Nusrat ogly Abdulov
Candidate of Technical Sciences, Deputy Chief Engineer,
Research Institute of the Ministry of Defense Industry of Azerbaijan
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Rakhiba Mamedova St., 25, AZ1123 Baku, Republic of Azerbaijan

Abstract. It is well-known that the newly growing vegetation is impacted by many biotic and abiotic factors. The frosty weather, rivalry between vegetations, deficit of water, minerals etc. can be considered as such factors. The proper selection of land plot for vegetation growth is not sufficient for successful development of vegetation, but the proper selection of regime of vegetation nutrition is necessary, in contrary, the development of newly grown vegetation can be encountered with problems. The analysis of known method for optimum selection of land plot for forest plantation does show the lack of possibility for due selection of land plots on calculated optimum values of attributes. The method for determination of optimum values of selected attributes on the basis of limitation conditions, formulated for potential areas on the basis of expert knowledge is suggested. The possibility of calculation of optimum values of attributes used for selection of land plots for urgent reforestation is shown on the example of a simple model research.
Key words: forest plantation, optimality, deforestation, forest zones, linear programming.
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