Volume 25, Issue 2 (2-2023)
Abstract
One way to better appreciate the value of rangelands with the purpose of developing better policies and make sustainable use of these resources is to determine the monetary valuation of the ecosystem services of these rangelands. Thus, the present study aimed to estimate the economic values of provisioning and regulating services of Rig Ishaqabad Rangeland in Kerman Province, Iran. To this end, samples of the soil and vegetation cover of the region were taken. Following conduction of various experiments, the type and texture of the soil and its content of nitrogen, phosphorus, and potassium nutrients, the soil erosion coefficient, and the amount of carbon absorption for each vegetation type were determined. Then, the monetary values of forage production, carbon absorption, oxygen production, soil production, nutrient absorption, and erosion prevention were estimated using the Revealed Preference Approach. According to the findings, in 2019, the total economic value of the rangeland's services was USD 0.54 million; and the values of provisioning and regulating services were USD 260,102.85 and 283,841.77, respectively. In addition, the economic value of vegetation types of Artemisia sieberi-Denderostellera lessertii (Ar si-De Le), Denderostellera lessertii- Peganum harmala (De le-Pe ha), Cousinia congesta (Co co), Calligonum polygonoides- Astragalus sp (Capo- As sp), Artemisia Sieberi-Peganum harmala (Ar si-Pe ha) were USD 115,466.42, 159,045.6, 54,815.14, 85,220.66, and 129,396.78, respectively. Based on the results, the De le-Pe ha vegetation type was of the highest value with a value of 49.07 US dollars per hectare. The calculated monetary values can be a useful tool in determining the long-term rental rate of this rangeland and determine the amount of investment to preserve or restore it.
Volume 26, Issue 2 (3-2024)
Abstract
Identifying and prioritizing the key economic activities has a significant role in economic planning and policy-making, therefore, diverse methods have been developed and presented for this purpose. Besides, nowadays, pollution is also one of the globally critical issues. The aim of this study was to determine the key activities of the agricultural sector by considering carbon emission limitations, using numerical taxonomy methods, demand-driven (Leontief) and supply-driven (Ghosh) models, row and column multiplier, backward and forward dispersion index, carbon emission rate, profitability index and the ratio of water consumption value to value-added. Using numerical taxonomy methods, demand-driven, and supply-driven models, increasing row and column coefficients show that beekeeping and its associated activities are at the highest rank. The results obtained by using these models and backward and forward dispersion indexes show that forestry is also a key activity. These results and analysis of carbon emissions data indicate that the sub-sector forestry and beekeeping activities, which are located in the sub-sector of animal breeding, emit less carbon and create high value-added products.
