The purpose of this research was to “Design an Optimal Pattern of Agricultural Land use in the KahakRegion of the Qom Province”. This research as far as goal is an applied research, with descriptive -survey methods to achieve the facts. Dependent variable in More
The purpose of this research was to “Design an Optimal Pattern of Agricultural Land use in the KahakRegion of the Qom Province”. This research as far as goal is an applied research, with descriptive -survey methods to achieve the facts. Dependent variable in this research was “pattern of agricultural lands use” and independent variables are consisted: social, economic, environmental (natural) variables and individual characteristics variables. The study population of the research included all landowner farmers of the Kahak in Qom Province. According to the statistics, the study populations are 2010 individuals. The sample numbers are determined by Cochran formula which is 322 samples in this research. The required information was collected by questionnaire and analyzed by using AMOS software and SPSS20. The design of the model based on structural equations indicated that, economic and environmental factors have positive effect on the optimal pattern of objected agricultural land use with errors around one percent. But latent variable social factors had no effect on the land use pattern. Land use pattern, the correlation coefficient between economic factors variables and environmental factors variables was 0.79 and 0.44 respectively. Also based on the results, 76% of variance differences of land optimal model were defined by social, economic and environmental factors.
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Developing a precise and rapid method for assessing the impact of farming operations on soil quality is important for sustainable resource management and monitoring management approaches in agricultural ecosystems. The objective of this study was to evaluate the efficie More
Developing a precise and rapid method for assessing the impact of farming operations on soil quality is important for sustainable resource management and monitoring management approaches in agricultural ecosystems. The objective of this study was to evaluate the efficiency of spectroscopy as a rapid and quantitative approach for monitoring physical and biological soil quality under agricultural management in Zanjan province. 77 soil samples were collected from the depth of 0-20 cm under irrigated and rain-fed agriculture. Important physical and biological properties, affecting soil quality in this province, were measured using standard methods. Then, soil spectral data were determined in VIS-NIR region and spectral models were calculated using partial least square regression. The average reflectance of soil spectra from 450 to 2450 nm, were significantly different (p < 0.05) between rain-fed and irrigated land uses. Moreover, land use type had a significant impact on most physical and biological properties, measured in this study. Spectral models with excellent accuracy(RPD>2.5 and R2>0.8) were noted for soil microbial respiration, clay content and soil organic content. The models with good accuracy (2<RPD0.76) for microbial carbon biomass, aggregate stability, sand content and with moderate accuracy (1.5<RPD0.65) for bulk density, hydraulic conductivity and silt content were obtained. However, sorptivity was not estimated with appropriate accuracy using spectral models. The effect of management operations under irrigated and rain-fed land use was detectable using soil reflectance spectral signature, and spectral data showed an overall good ability for evaluating physical and biological indicators of soil quality.
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Background and Objective: Residential land encroachment on agricultural areas presents a global challenge regarding land use management. Such a challenge needs crucial attention in Iran where agricultural activities suffer from resource shortage and land use management More
Background and Objective: Residential land encroachment on agricultural areas presents a global challenge regarding land use management. Such a challenge needs crucial attention in Iran where agricultural activities suffer from resource shortage and land use management practices are ineffectively planned and enforced.
Material and Methodology: An attempt was first made to delineate agricultural land use suitability. Two scenarios namely Current Development (CD) and Environmental Development (ED) were mapped and transplanted to CA-Markov model to simulate urban growth up to 2030, 2040 and 2050. Finally, severity of conflicts was analyzed based on loss of the extent and the corresponding suitability of agricultural lands.
Findings: The results showed that ED scenario is more successful in protecting suitable agricultural lands than CD scenario (nearly one thousand ha). Moreover, CD scenario is projected to occur in areas with relatively higher agricultural suitability values. The difference between the scenarios is not significant for near future (2030), but significant for the ending simulation period (2050).
Discussion and Conclusion: ED scenario is more succeeded in protecting quantitative and qualitative agricultural lands. By implementing this scenario from now, it takes 35 years to significantly mitigate the conflict between the two land uses. However, the effectiveness of such scenarios requires simultaneous attention to socio-economic parameters.
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