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master's thesis
A GIS-based assesing of soil heterogeneity
2024. urn:nbn:hr:151:024105
Kajan, Karolina
Josip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
Department of agroecology and Enviroment Protection

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Kajan, K. (2024). A GIS-based assesing of soil heterogeneity (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:151:024105

Kajan, Karolina. "A GIS-based assesing of soil heterogeneity." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:151:024105

Kajan, Karolina. "A GIS-based assesing of soil heterogeneity." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:151:024105

Kajan, K. (2024). 'A GIS-based assesing of soil heterogeneity', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, accessed 03 April 2025, https://urn.nsk.hr/urn:nbn:hr:151:024105

Kajan K. A GIS-based assesing of soil heterogeneity [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek; 2024 [cited 2025 April 03] Available at: https://urn.nsk.hr/urn:nbn:hr:151:024105

K. Kajan, "A GIS-based assesing of soil heterogeneity", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:151:024105

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Metadata
TitleA GIS-based assesing of soil heterogeneity
Title (croatian)Procjena heterogenosti tla upotrebom GIS-a
AuthorKarolina Kajan
MentorZdenko Lončarić (mentor)
Committee memberVladimir Zebec (predsjednik povjerenstva)
Committee memberVladimir Ivezić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of agroecology and Enviroment Protection)
Osijek
Defense date and country2024-05-31, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Ecology and Environmental Protection
Abstract
To meet the growing demand for food, it's essential to expand agriculture in suitable environments. Responsible use of resources and effective agricultural practices are crucial for maximizing productivity and maintaining soil quality and fertility. This thesis employed a GIS-based approach to assess the significance and distribution of basic soil properties—soil organic matter, pH, texture, available phosphorus, and potassium—in determining the homogeneity or heterogeneity of two arable plots... More in Trnava and Đurđevac. A total of 116 soil samples from Trnava and 144 from Đurđevac were analyzed for both essential and additional soil physical and chemical properties. Descriptive statistics, correlation, and multiple regression analyses were performed to evaluate these properties. The coefficient of variation for plant-available phosphorus was the highest at 44.61%, indicating significant heterogeneity, while fine silt content showed the lowest variation at 3.71% in Trnava. In Đurđevac, total potassium content exhibited the highest variation, and actual acidity the lowest at 8.10%. On the analyzed plots, the most significant indicators of soil heterogeneity and needs for variable fertilization are soil hydrolytic acidity and plant-available P, and to a lesser extent, plant-available K, which means that variable liming and fertilization with P and K are needed. Regression analysis validated the effectiveness of multiple linear regression models in predicting cation exchange capacity based on various soil properties. In Trnava, six models with high R values (0.9795 to 0.9936) and R² values (0.9592 to 0.9873) were developed, with standard errors of the estimate ranging from 3.0036 to 4.0488. The Đurđevac models, constructed with 72 samples, demonstrated even stronger correlations, with R values between 0.9945 and 0.9965, R² values from 0.9889 to 0.9935, and lower SEE values (0.6034 to 0.9324), indicating higher prediction precision. Geo-statistical results revealed diverse spatial distribution patterns of soil properties and plant available nutrients, exhibiting strong, moderate, and weak spatial dependence. These spatial distribution maps are valuable for developing site specific soil management strategies. This comprehensive analysis underscores the importance of detailed soil property assessment in enhancing agricultural productivity and soil management practices. Less
Abstract (english)
Poljoprivrednu proizvodnu neophodno je prilagoditi specifičnostima ekoustava i heterogenosti proizvodnih površina kako bi se zadovoljila rastuća potražnja za hranom. Odgovorno korištenje resursa i učinkovita poljoprivredna praksa presudni su za maksimiziranje produktivnosti i održavanje kvalitete i plodnosti tla. U ovom radu korišten je pristup temeljen na GIS-u za procjenu značaja i distribucije osnovnih svojstava tla - organske tvari u tlu, pH, teksture, dostupnog fosfora i kalija - u... More određivanju homogenosti ili heterogenosti dviju obradivih parcela u Trnavi i Đurđevcu. Analizirano je ukupno 116 uzoraka tla iz Trnave i 144 iz Đurđevca na osnovna i dodatna fizikalna i kemijska svojstva tla. Deskriptivna statistika, korelacije i višestruka regresijska analiza provedene su radi procjene povezanosti i heterogenosti analiziranih svojstava. Koeficijent varijacije biljkama raspoloživog fosfora bio je najveći (44,61%), što ukazuje na značajnu heterogenost, dok je sadržaj finog praha pokazao najmanju varijaciju (3,71%) u Trnavi. U Đurđevcu je najveće variranje pokazala ukupna koncentracija kalija, a najmanje pHH2O 8,10%. Na analiziranim oranicama najznačajniji pokazatelji heterogenosti tla i potrebe za varijabilnom gnojidbom su hidrolitička kiselost i biljkama dostupni P, a u manjoj mjeri biljkama dostupni K, što znači da su potrebni varijabilna kalcizacija i gnojidba s P i K. Regresijskom analizom potvrđena je učinkovitost višestrukih linearnih regresijskih modela u predviđanju kationskog izmjenjivačkog kapaciteta tla na temelju različitih svojstava tla. U Trnavi je razvijeno šest modela s visokim R (0,9795 do 0,9936) i R² vrijednostima (0,9592 do 0,9873), sa standardnim pogreškama procjene u rasponu od 3,0036 do 4,0488. Modeli lokaliteta Đurđevac rezultirali su još značajnijim korelacijama, s R 0,9945 i 0,9965, R² vrijednostima od 0,9889 do 0,9935 i nižim SEE vrijednostima (0,6034 do 0,9324), što ukazuje na veću preciznost predviđanja, tj. veću točnost modela. Geostatistički rezultati otkrili su različite obrasce prostorne distribucije svojstava tla i biljkama raspoloživih hranjivih tvari, pokazujući jaku, umjerenu i slabu prostornu ovisnost. Ove karte prostorne distribucije vrijedne su za razvoj strategija upravljanja tlom specifičnih za točnu geopoziciju i preciznu provedbu mjera očuvanja plodnosti tala. Less
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:151:024105
Study programmeTitle: Digital Agriculture - graduate – university
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka digitalne poljoprivrede (sveučilišni/a magistar/magistra inženjer/inženjerka digitalne poljoprivrede)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public notediplomski rad
Created on2024-12-04 08:30:08
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