yadollah Bostan; Ahmad Fatahi Ardakani; Masoud Fehresti Sani; Majid Sadeghinia; Mohammad Arab
Volume 27, Issue 1 , April 2020, , Pages 177-191
Abstract
In the 3 last decades, there were efforts to consider the economic value of ecosystems in the framework of virtual markets, in order to have a better recognition and protection toward them. Therefore, the authors of current study tried to use conditional valuation and mutual 2-dimensional technique, ...
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In the 3 last decades, there were efforts to consider the economic value of ecosystems in the framework of virtual markets, in order to have a better recognition and protection toward them. Therefore, the authors of current study tried to use conditional valuation and mutual 2-dimensional technique, since they have a good knowledge about the valuable services of forest ecosystem of Sheikh mousa in Babol city. 157 questionnaires were distributed among the population (eastern banpey region in Babol) in 2017-2018 period. The factors effective on propensity to pay to stakeholders based on Protective valuation scheme had been investigated. In addition, sampling was performed according to Michel & Carson’s method. The current study is quantitative and results were analyzed in maple 18, shazam 11 & excel 2016 software. The consistency and reliability of information resulted from logit pattern showed that proposed price, age, not being the head of family, visiting the area and environmental ethics are the main effective factors on the propensity to payment for protecting the forest ecosystem of sheikh mousa region. In addition, the annual propensity toward individual payment is equal to 7892.92 Rials (1.87 dollars), and the overall protective value of mentioned ecosystem is more than 2276 million Rials (66096 dollars). In addition, the minimum voluntary investment (available capital) to protect the forest ecosystem of sheikh mousa, from the preference perspective of stakeholders of related society is around 1289 million Rials. According to the obtained results, it can be argued that protecting from this forest ecosystem because of its valuable services from stakeholders perspective is very important. Therefore it is suggested that by establishment of NGO and workshops in the city by corresponding authorities, the environmental ethics and tendencies of people toward protection of such ecosystem get changed. In addition, performing more studies about other applications and services of these type of ecosystems is proposed, in order to have a higher and better understanding in public community and responsible managers about these ecosystems.
Mohsen Tavakoli; Shima Nourinejad; Mohammad Rostaminia
Volume 24, Issue 4 , January 2018, , Pages 853-869
Abstract
Desertification is equivalent to land degradation causing reduced living and non-living organisms, especially in arid and semi arid ecosystems due to natural, human, and climate change factors. The present study was aimed to assess ICD and ESAs desertification models in Mehran plain, Ilam. Therefore ...
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Desertification is equivalent to land degradation causing reduced living and non-living organisms, especially in arid and semi arid ecosystems due to natural, human, and climate change factors. The present study was aimed to assess ICD and ESAs desertification models in Mehran plain, Ilam. Therefore , different desertification criteria and indices of both models were collected according to area characteristics and field observation in seven specified land units. In this research, four different indices including vegetation cover, soil characteristics, water and climate as the most important criteria in this region were selected and used for desertification intensity zoning. The results indicated that ICD method classified desertification intensity into two classes including moderate class (64.92%) and high class (35.07%) and ESAs method classified desertification intensities in 4 classes including fragile A (5.55%), fragile B (14.65%), fragile C (42.5%) and critical A (37.2%). According to the results, due to high adaptation to current condition of the area, flexibility in selecting the criteria and indices, application of GIS and using geometric average of indices for desertification intensity classification, ESAs method could be recommended as a suitable method for this region and similar regions.
Ahmad Pahlavanravi; Alireza Moghadamnia; Zohreh Hashemi; Mohammad reza Javadi; Abbas Miri
Volume 19, Issue 4 , March 2013, , Pages 624-639
Abstract
Many studies have been carried out to assess and prepare desertification map in the world. In order to assess the current situation of desertification intensity, a study was carried out in an area of 88350 hectares in Zahak region of sistan. In this study, at first, based on combining information extracted ...
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Many studies have been carried out to assess and prepare desertification map in the world. In order to assess the current situation of desertification intensity, a study was carried out in an area of 88350 hectares in Zahak region of sistan. In this study, at first, based on combining information extracted from topographic and geologic maps, aerial photos and field survey, the study area was divided into 11 geomorphologic faces and each face was considered as the main unit for evaluating the current situation of desertification. With regard to the analysis and combining FAO-UNEP and MICD models, as the most famous models of desertification intensity assessment in Iran and world, it was attempted to identify effective indices based on wind erosion to select the best ones. These indices were evaluated in a regional model of desertification assessment with regard to the numerical value of each index in each work unit and then in whole study area. Finally, the current situation of desertification intensity of the study area with emphasis on wind erosion criterion was estimated in four classes of insignificant and low, medium, intense and very intense. Results indicated that the study area with respect to desertification intensity was placed in the classes of medium (about 734.33 hectare (0.9 %)), intense (about 61473.38 hectare (73.6 %)), and very intense (about 21310.22 hectare (25.51 %)). Also, the weighted average of quantitative value (DS) was estimated to be 25.52 in the whole area indicating an intense desertification in the region.