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  • 1.
    Etemad, Seyedeh Soma
    et al.
    Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran.
    Mohammadi Limaei, Soleiman
    Mittuniversitetet, Fakulteten för humanvetenskap, Institutionen för ekonomi, geografi, juridik och turism. Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran.
    Olsson, Leif
    Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationssystem och –teknologi.
    Yousefpour, Rasoul
    Department of Forestry Economics and Forest Planning, University of Freiburg, Freiburg, Germany.
    Forest management decision-making using goal programming and fuzzy analytic hierarchy process approaches (case study: Hyrcanian forests of Iran): Forest management decision-making2019Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 65, nr 9, s. 368-379Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The aim of this study is to determine the optimum stock level in the forest. In this research, a goal programming method was used to estimate the optimal stock level of different tree species considering environmental, economic and social issues. We consider multiple objectives in the process of decision-making to maximize carbon sequestration, net present value and labour. We used regression analysis to make a forest growth model and allometric functions for the quantification of carbon budget. Expected mean price is estimated using wood price and variable harvesting costs to determine the net present value of forest harvesting. The fuzzy analytic hierarchy process is applied to determine the weights of goals using questionnaires filled in by experts in order to generate the optimal stock level. According to the results of integrated goal programming approach and fuzzy analytic hierarchy processes, optimal volume for each species was calculated. The findings indicate that environmental, economic and social outcomes can be achieved in a multi-objective forestry program for the future forest management plans.

  • 2.
    Hejazian, Mohammad
    et al.
    Sari Agricultural and Natural Resources University, Sari, Iran.
    Lotfalian, Majid
    Sari Agricultural and Natural Resources University, Sari, Iran.
    Mohammadi Limaei, Soleiman
    University of Guilan, Sowmeh Sara, Iran.
    Estimating the economic life of forest machinery using the cumulative cost model and cost minimization model in Iranian Caspian forests2018Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 64, nr 5, s. 216-223Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This study was conducted in order to estimate the economic life of two models of rubber-tired skidders, namelyTimberjack 450C and HSM 904, in Iranian Caspian forests. The total annual costs and average cumulative cost ofskidders were calculated by life-cycle costing analysis. The economic life of the machines was estimated by boththe cumulative cost model and cost minimization model. The results indicated that the economic life of Timberjack450C and HSM 904 is 7,700 h (at the end of the 11th year) and 15,300 h (at the end of the 17th year), respectively,using the cost minimization model. Furthermore, the results indicated that the economic life of Timberjack 450Cand HSM 904 is 9,100 h (at the end of the 13th year) and 11,900 h (at the end of the 21st year), respectively, usingthe cumulative cost model. The cumulative cost model estimated the economic life of skidders longer than the costminimization model.

  • 3.
    Mohammadi Limaei, Soleiman
    et al.
    University of Guilan, Iran.
    Lohmander, Peter
    Optimal Solutions; Linnéuniversitetet.
    Olsson, Leif
    Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för informationssystem och -teknologi.
    Dynamic growth models for continuous cover multi species forestry in Iranian Caspian forests2017Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 63, nr 11, s. 519-529Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This study concerns some of the relevant topics of the Iranian Caspian forestry planning problem, in particular the first central components in this modelling process, such as forest modelling, forest statistics and growth function estimations. The required data such was collected from Iranian Caspian forests.  To do so, 201 sample plots were determined and the parameters such as number of tree, tree diameter at breast height  and trees height were measured at each sample plot. Three sample plots at different 3 elevations were chosen to measure the tree increment. Data has been used to estimate a modified logistic growth model and a model that describes the growth of basal area of individual trees as a function of basal area. General function analysis has been applied in combination with regression analysis. The results are interpreted from ecological perspectives. Furthermore, a dynamic multi species growth model theory is developed and analyzed with respect to dynamic behavior, equilibria, convergence and stability. Logistic growth models have been found useful in continuous cover forest management optimization. Optimization of management decisions in a changing and not perfectly predictable world should always be based on adaptive optimization.

  • 4.
    Mohammadi Limaei, Soleiman
    et al.
    University of Guilan, Sowmeh Sara, Iran.
    Safari, G.
    Iranian National Tax Administration, Karaj, Iran.
    Mohammadi Merceh, G.
    Islamic Azad University, Rasht, Iran.
    Recreational values of forest park using the contingent valuation method: (case study: Saravan Forest Park, north of Iran)2016Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 62, nr 10, s. 407-412Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The aim of this research was to evaluate the economic values of Saravan Forest Park, north of Iran. The contingent valuation method was used for this propose. In order to do this research, 480 questionnaires were used. The questionnaires were distributed randomly among the visitors in different seasons. A linear logit regression model was used to estimate the relation between dependent and independent variables. The software including MS Excel, Eviews and Shazam was used for statistical analysis of variables, mathematical calculation and parameter estimation of the logit model. Results indicated that the variables such as proposed entrance fee, monthly income, non-governmental organization membership, moralizing view on the environment and natural resources as well as length of stay have significant effects on willingness to pay for the recreational use of the study area. Results showed that 91.19% of people were willing to pay for the recreational value of the forest park. Results also showed that the total annual recreational value of the forest park is 22,761.6 million IRR.

  • 5.
    Mohebi Bijarpas, M.
    et al.
    University of Guilan, Sowmeh Sara, Iran.
    Rostami Shahraji, T.
    University of Guilan, Sowmeh Sara, Iran.
    Mohammadi Limaei, Soleiman
    University of Guilan, Sowmeh Sara, Iran.
    Socioeconomic evaluation of agroforestry systems: (Case study: Northern Iran)2015Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 61, nr 11, s. 478-484Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The aim of this research was to investigate the socioeconomic values of different land use in the agroforestry system. Questionnaires were used to collect social and economic data in two villages at Guilan province, northernIran. Internal Rate of Return (IRR) and Profitability Index (PI) were used for cost-benefit analysis. Net Present Value(NPV) of different farming systems was determined. ANOVA test was used to compare the outcomes of different landuse. The results indicated that there is a significant relationship between literacy and variety of land use in two villages. Results of IRR and PI indices show that these indices were higher in poplar plantation than in the other land use(paddy and tea field, horticulture and vegetable). Results of ANOVA test showed that there is a significant differencebetween net incomes from different farming systems in Tamchal village. Furthermore, the ANOVA test showed thatthere is no significant difference between net incomes from different farming systems in Narenj Bon Paeen village. Theresults showed that farmers tend to participate in training and promoting classes associated with the maximum use ofland. Chi-squared test was used in order to determine the effect of participation in training and promoting classes onmultiple uses of land, land use change, sericulture, and apiculture. The results of Chi-squared test showed that thereis a significant and positive relationship between people’s participation rates and the multiple use of land. In overall,results showed that traditional agroforestry systems provide a higher income than monoculture in the study area.

  • 6.
    Sotoudeh Foumani, S.
    et al.
    University of Guilan, Sowmeh Sara, Iran.
    Mohammadi Limaei, Soleiman
    University of Guilan, Sowmeh Sara, Iran.
    Rostami Shahraji, T.
    University of Guilan, Sowmeh Sara, Iran.
    Investigation of wood production and trading in Iran2016Ingår i: Journal of Forest Science, ISSN 1212-4834, E-ISSN 1805-935X, Vol. 62, nr 9, s. 407-412Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The relation between wood export and import of Iran and a number of major macroeconomic variables,such as oil price, gross domestic production, population, exchange rate, unemployment rate, inflation and domesticwood production during 1980–2014 were described. Pearson’s correlation coefficient and multiple regression analysiswere used for data analysis. The results showed that there is a significant relation at a significance level of 5% betweenwood export as a dependent variable and oil price, GDP, population, exchange rate and domestic wood production asindependent variables. Meanwhile, there is also a significant relation between wood import and oil price, exchangerate and domestic wood production. The findings also indicate that oil price as an independent variable has the highest effect on wood import in Iran during the studied period.

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