Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods
Determining and mapping the variability of soil properties ensures planning, effective and sustainable management, and monitoring spatial and temporal variability in agricultural areas. The objectives of this study were to model and map available P level of soils using two different geostatistical m...
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| Language: | English |
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Ankara University
2012-03-01
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| Series: | Journal of Agricultural Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/21055 |
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| author | Fevzi Akbaş |
| author_facet | Fevzi Akbaş |
| author_sort | Fevzi Akbaş |
| collection | DOAJ |
| description | Determining and mapping the variability of soil properties ensures planning, effective and sustainable management, and monitoring spatial and temporal variability in agricultural areas. The objectives of this study were to model and map available P level of soils using two different geostatistical methods and to interpret differences of results of two methods. Ordinary kriging (OK) and Sequential Gaussian Simulation (SGS) methods were used in mapping. This study was carried out in the Kazova (20,656 ha), largest plain in Tokat and one of the prominent production area of Turkey. Eight hundred soil samples were collected in two depths (0-30 cm and 30-60 cm). Mean available phosphorus of study area were 14.18 mg kg-1 in surface soil and 8.87 mg kg-1 in subsurface soil. Based on maps prepared with ordinary kriging 11.56% of surface soils of Kazova contained low available P, 82.16% and 6.28% of soil had sufficient and excessive available P levels, respectively. Maps of SGS method (mean of 10 simulations) showed that 9.98% of surface soils of Kazova had low available P level. While 86.27% of the surface soil contained sufficient available P and 3.75% of soils was classified as excessive. For the subsoil of Kazova (30-60cm), dissimilarities between two mapping methods were higher. Different level of available P and location of these levels in the maps prepared with these methods have a potential usage of decision-makers to plan amount of fertilizer and risk modeling. |
| format | Article |
| id | doaj-art-bab1e743b412461397d356cd040f7f92 |
| institution | DOAJ |
| issn | 1300-7580 2148-9297 |
| language | English |
| publishDate | 2012-03-01 |
| publisher | Ankara University |
| record_format | Article |
| series | Journal of Agricultural Sciences |
| spelling | doaj-art-bab1e743b412461397d356cd040f7f922025-08-20T03:04:49ZengAnkara UniversityJournal of Agricultural Sciences1300-75802148-92972012-03-01181637610.1501/Tarimbil_000000119345Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation MethodsFevzi AkbaşDetermining and mapping the variability of soil properties ensures planning, effective and sustainable management, and monitoring spatial and temporal variability in agricultural areas. The objectives of this study were to model and map available P level of soils using two different geostatistical methods and to interpret differences of results of two methods. Ordinary kriging (OK) and Sequential Gaussian Simulation (SGS) methods were used in mapping. This study was carried out in the Kazova (20,656 ha), largest plain in Tokat and one of the prominent production area of Turkey. Eight hundred soil samples were collected in two depths (0-30 cm and 30-60 cm). Mean available phosphorus of study area were 14.18 mg kg-1 in surface soil and 8.87 mg kg-1 in subsurface soil. Based on maps prepared with ordinary kriging 11.56% of surface soils of Kazova contained low available P, 82.16% and 6.28% of soil had sufficient and excessive available P levels, respectively. Maps of SGS method (mean of 10 simulations) showed that 9.98% of surface soils of Kazova had low available P level. While 86.27% of the surface soil contained sufficient available P and 3.75% of soils was classified as excessive. For the subsoil of Kazova (30-60cm), dissimilarities between two mapping methods were higher. Different level of available P and location of these levels in the maps prepared with these methods have a potential usage of decision-makers to plan amount of fertilizer and risk modeling.https://dergipark.org.tr/tr/download/article-file/21055available phosphorusgeostatisticsordinary krigingyarayışlı fosforjeoistatistikordinary krigingardışık gauss simulasyondeğişkenlik |
| spellingShingle | Fevzi Akbaş Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods Journal of Agricultural Sciences available phosphorus geostatistics ordinary kriging yarayışlı fosfor jeoistatistik ordinary kriging ardışık gauss simulasyon değişkenlik |
| title | Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods |
| title_full | Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods |
| title_fullStr | Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods |
| title_full_unstemmed | Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods |
| title_short | Modelling and Mapping Available Phosphorus Level of Tokat Kazova Soils with Geostatistical Estimation and Simulation Methods |
| title_sort | modelling and mapping available phosphorus level of tokat kazova soils with geostatistical estimation and simulation methods |
| topic | available phosphorus geostatistics ordinary kriging yarayışlı fosfor jeoistatistik ordinary kriging ardışık gauss simulasyon değişkenlik |
| url | https://dergipark.org.tr/tr/download/article-file/21055 |
| work_keys_str_mv | AT fevziakbas modellingandmappingavailablephosphorusleveloftokatkazovasoilswithgeostatisticalestimationandsimulationmethods |