Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran

Samari, Davood; Azadi, Hossein; Zarafshani, Kiumars; Hosseininia, Gholamhossein; Witlox, Frank

doi:10.1016/j.forpol.2011.10.006

Cited by 28 publications

(8 citation statements)

References 25 publications

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“…In this study, the weights of 12 factors were well assigned and consistency ratios were calculated using AHP approach. AHP is a useful systematic tool for handling MCDM processes (Yang et al, 2008;Samari et al, 2012). Compared with the methods mentioned above, AHP is a very effective and powerful method to determine the weights.…”

Section: Discussionmentioning

confidence: 99%

Dynamic assessment of forest resources quality at the provincial level using AHP and cluster analysis

Wang

Yao

et al. 2016

Computers and Electronics in Agriculture

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a b s t r a c tThe aim of this study was to quantitatively assess and analyze the dynamic changes and current problems of Chinese forest resources based on the National Forest Inventory (NFI). In this study, a hierarchical model was established using the analytic hierarchy process to assess forest resources quality (FRQ) at the provincial level. Four criteria were used, including forest quantity, forest productivity, forest structure, and forest health and each criterion was further composed of multiple factors. Among these assessment factors, stock volume per unit area was the most important, while canopy structure was the least important. The ranges of FRQ Indies across China during the 6th NFI (1999( -2003( ), 7th NFI (2004( -2008, and 8th NFI (2009)(2010)(2011)(2012)(2013) were 0.3031-0.6366, 0.3499-0.7186, and 0.3534-0.7555, respectively. From the 6th to 8th NFI, forest quality improved by different degrees for all provinces, whereas the other three criteria presented an increasing or decreasing trend. In general, the implementation of ecological projects has significantly improved the FRQ at provincial and national levels. During the 8th NFI, the FRQ levels were excellent for 3 provinces, good for 15 provinces, medium for 12 provinces, and only one province exhibited an inferior level of FRQ. Based on cluster analysis, Chinese forest resources during the 8th NFI could be grouped into four clusters according to the provincial administrative region, and each cluster had its own advantages and disadvantages. Stock volume increment and forest calamity were in a very good state, while canopy structure was the key factor limiting the FQR for all the clusters. Some relevant measures were proposed to improve the existing conditions of Chinese forest resources. The results of this study are significant in that they can provide theoretical and technical references for future adjustment and sustainable management of forest resources in China.

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Section: Discussionmentioning

confidence: 99%

Dynamic assessment of forest resources quality at the provincial level using AHP and cluster analysis

Wang

Yao

et al. 2016

Computers and Electronics in Agriculture

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Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Location selection of agricultural-residuals particleboard industry through group decision: The case study of northern Iran

Azizi

Ramezanzadeh

2016

Econ. manag. sustain.

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E Ec co on no om mi ic cs s, , MMa an na ag ge em me en nt t a an nd d S Su us st ta ai in na ab bi il li it ty y journal home page: http://jems.sciview.net Azizi, M., & Ramezanzadeh, M. (2016). Location selection of agricultural-residuals particleboard industry through group decision: The case study of northern Iran.Abstract: This paper presents a framework for locating agricultural-residuals particleboard industry in the northern provinces of Iran. Particleboard industry is the only Iranian wood and paper industry with an export potential and the use of agricultural residuals as the raw material can help with increasing the production in this industry, while reducing the damage to forest resources. The northern provinces of Iran are agricultural centers with ample amounts of agricultural residues. These provinces are, therefore, preferable to other provinces as the construction sites of particleboard plants. In the location selection model presented in this paper, the Analytical Hierarchy Process (AHP) method is used and the results indicate that the criterion of 'material and production' and the sub-criterion of 'reliability of supply' have the highest priorities, and that Golestan province is the best alternative.

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“…Al-S. Al-Harbi, 1999). 1) creating hierarchical tree, 2) pairwise comparing of research criteria and options, 3) operations for computing data, 4) sensitivity analysis, and 5) the level of non-adaptability (incompatibility), (D. Samari, et al, 2012). Steps 1 and 2 are made on the basis of the decision maker's knowledge and understanding of the problem and steps 3 to 5 are executed using an appropriate software, such as the Expert Choice (Peltola, et al, 2002).…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Location selection of agricultural-residuals particleboard industry through group decision: The case study of northern Iran

Azizi

Ramezanzadeh

2016

Economics, Management and Sustainability

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E Ec co on no om mi ic cs s, , MMa an na ag ge em me en nt t a an nd d S Su us st ta ai in na ab bi il li it ty y journal home page: http://jems.sciview.net Azizi, M., & Ramezanzadeh, M. (2016). Abstract: This paper presents a framework for locating agricultural-residuals particleboard industry in the northern provinces of Iran. Particleboard industry is the only Iranian wood and paper industry with an export potential and the use of agricultural residuals as the raw material can help with increasing the production in this industry, while reducing the damage to forest resources. The northern provinces of Iran are agricultural centers with ample amounts of agricultural residues. These provinces are, therefore, preferable to other provinces as the construction sites of particleboard plants. In the location selection model presented in this paper, the Analytical Hierarchy Process (AHP) method is used and the results indicate that the criterion of 'material and production' and the sub-criterion of 'reliability of supply' have the highest priorities, and that Golestan province is the best alternative.

show abstract

Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran

Cited by 28 publications

References 25 publications

Dynamic assessment of forest resources quality at the provincial level using AHP and cluster analysis

Dynamic assessment of forest resources quality at the provincial level using AHP and cluster analysis

Location selection of agricultural-residuals particleboard industry through group decision: The case study of northern Iran

Location selection of agricultural-residuals particleboard industry through group decision: The case study of northern Iran

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