Abstract
Land evaluation is the process of predicting land-use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation by parametric and fuzzy approaches was investigated for sugar beet crop in Sabzevar plain, Northeast of Iran. Our results indicated that the most limiting factor for sugar beet cultivation in the study area is soil organic carbon. In both models, the suitability classes for sugar beet cultivation were classified into high (S1) in north parts of the plain to moderate suitable (S2) due to lower values of soil organic carbon in southwest and scattered part in the center of the plain. The values of land indexes by parametric and fuzzy logic approaches ranged from 60.55 and 50.50 in some parts in the center and south west to 84.95 and 83.20 in the northern parts of the plain, respectively. The coefficient of determination between the results obtained from both models was R 2 = 0.995, which shows a high correlation between the calculated land index values from two approaches. The correlation coefficient between the land index values and the observed sugar beet yield (R 2) varied between 0.86 and 0.94 by parametric and fuzzy approaches which verify the validation of both models in estimating land suitability for sugar beet production in the study area.
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Acknowledgments
We thank Islamic Azad University-Mashhad Branch for their support of the project. Thanks are also given to one anonymous reviewer for generous suggestions on data analyses and interpretations.
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Bagherzadeh, A., Gholizadeh, A. Qualitative Land Suitability Evaluation by Parametric and Fuzzy Approaches for Sugar Beet Crop in Sabzevar Plain, Northeast of Iran. Agric Res 5, 277–284 (2016). https://doi.org/10.1007/s40003-016-0210-1
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DOI: https://doi.org/10.1007/s40003-016-0210-1