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Temporal variability of growing period for rainfed agriculture- using fractal analysis in Ghem-Shahr region in Mazandaran province
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Abstract: (3651 Views) |
| The length of growing period (LGP) has been defined as the period of the year in which agriculture production is possible from the viewpoint of moisture availability and absence of temperature limitations. Temporal variability of growing period and its parameters are necessary quantifying and predicting some information in agricultural and natural resources. This information can be effective in making decisions in planting date and excess water requirement to access the potential yield in rainfed agriculture. In rangeland and forest use of these data are also valuable in management and species selection. Fractal analysis can be used to differentiate between short- and long-term variation for parameters collected in time and space. This study conducted on climatic data collected from synoptic station of Ghaem-shahr located in Mazandaran province in order to study temporal variability of growing period using fractal analysis. Climatic data were chosen to calculate growing period and humid period length for 44 years since 1959 up to 2003. Then semivariances were determined using variography analysis and log of semivariances VS. log lag (year) were plotted to calculate D-dimension values for each of periods. The result of study showed that D-dimension values were 1.99 and 1.96 for LGP and length of humid period respectively. The high amount of D-values indicated that these periods follow small-range variation during the time and had high fluctuation year to year. This information is valuable for management purposes. The result of this study also indicated that fractal analysis can be used to studying temporal variability of growing period over time. |
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| Keywords: Growing period, Temporal variability, Fractal analysis, Ghaem Shahr, Semivariance. |
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Full-Text [PDF 468 kb]
(1068 Downloads)
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Type of Study: Scientific & Research |
Subject:
Special
Received: 2015/02/28 | Accepted: 2015/02/28 | Published: 2015/02/28
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