Monitoring of Site Specific Fe and Zn Variability on the Apple Area Using the Gis Based Spatial Pattern Maps
Küçük Resim Yok
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
AGRONOMSKI FAKULTET SVEUCILISTA U ZAGREBU
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Geostatistical approaches is the key issues of the modeling implementation in recent years, and it allows to figure out the spatially distribution of soil parameters. These methods will help to agricultural managements in a more healthy and moderate way, especially in precision farmings. In tilts study, spatial variability of soil chemical properties such as iron (Fe) and zinc (Zn) were examined on the agricultural apple area. Site specific variations of Fe and Zn on this area were predicted by performing GIS based spatial pattern maps. For this aim, the soil samples were systematically taken from the study area at two depths (0-25 and 25-50 cm). The grid system was used for locating the sample position. As a result of descriptive statistics, the coefficient of variation was lower for Fe levels when compared with Zn levels in both top and subsoil layers. The coefficient of variations for Fe and Zn levels were 24.7%, 42.5% for topsoil and 20.6%, 2.9.6% for subsoil, respectively. There was also a significant correlation (R-2=0.30, p<0.05) between topsoil Zn and subsoil Zn. Geostatistical analysis techniques were used for predicting the spatial structure of soil Fe and Zn levels. The spatial distribution maps were constructed by using Simple Kriging Method (SKM) with spherical semivariogram model for topsoil Fe, SKM with guassian semivariogram model for topsoil Zn. Based on the selected kriging method and semivariogram models, soil Fe and Zn levels were spatially varied within the study area. The maximum range was reached at 29 m for Fe level at the topsoil layer. The ranges were varied between 27 m and 23 m for top and subsoil Zn levels, respectively. The results have also revealed that soil chemical properties measured could he spatially varied within the small sampling points. For more accurate results, these geostatistical methods should be tested for varied conditions and spatial databases.
Açıklama
38th International Symposium on Agricultural Engineering -- FEB 22-26, 2010 -- Opatija, CROATIA
Anahtar Kelimeler
GIS, Iron, Zinc, spatial variability, semivariogram, kriging
Kaynak
Actual Tasks on Agricultural Engineering, Proceedings
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
38
Sayı
Künye
Susam, T., Karaman, M. R., Er, F., İşeri, İ., (2010). Monitoring of Site Specific Fe and Zn Variability on the Apple Area Using the Gis Based Spatial Pattern Maps. Actual Tasks on Agricultural Engineering, Proceedings, 38, 143.
