prikaz prve stranice dokumenta Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia
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Scientific paper - Original scientific paper
Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia
Journal of Central European Agriculture, 22 (2021), 3; 636-645. https://doi.org/10.5513/JCEA01/22.3.3176
RADOČAJ, Dorijan; JURIŠIĆ, Mladen; PLAŠČAK, Ivan; BARAČ, Željko; ZIMMER, Domagoj

Institutional repository: Repository of the Faculty of Agrobiotechnical Sciences Osijek

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RADOČAJ, D., JURIŠIĆ, M., PLAŠČAK, I., BARAČ, Ž. & ZIMMER, D. (2021). Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia. Journal of Central European Agriculture, 22. (3), 636-645. doi: 10.5513/JCEA01/22.3.3176

RADOČAJ, Dorijan, et al. "Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia." Journal of Central European Agriculture, vol. 22, no. 3, 2021, pp. 636-645. https://doi.org/10.5513/JCEA01/22.3.3176

RADOČAJ, Dorijan, Mladen JURIŠIĆ, Ivan PLAŠČAK, Željko BARAČ and Domagoj ZIMMER. "Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia." Journal of Central European Agriculture 22, no. 3 (2021): 636-645. https://doi.org/10.5513/JCEA01/22.3.3176

RADOČAJ, D., et al. (2021) 'Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia', Journal of Central European Agriculture, 22(3), pp. 636-645. doi: 10.5513/JCEA01/22.3.3176

RADOČAJ D, JURIŠIĆ M, PLAŠČAK I, BARAČ Ž, ZIMMER D. Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia. Journal of Central European Agriculture [Internet]. 2021 September 19 [cited 2024 June 30];22(3):636-645. doi: 10.5513/JCEA01/22.3.3176

D. RADOČAJ, M. JURIŠIĆ, I. PLAŠČAK, Ž. BARAČ and D. ZIMMER, "Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia", Journal of Central European Agriculture, vol. 22, no. 3, pp. 636-645, September 2021. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:151:742143. [Accessed: 30 June 2024]

Metadata
Title (english)Cropland suitability determination for maize (Zea mays L.) using multilevel GIS-based multicriteria analysis in continental Croatia
AuthorDorijan RADOČAJ
AuthorMladen JURIŠIĆ
AuthorIvan PLAŠČAK
AuthorŽeljko BARAČ
AuthorDomagoj ZIMMER
Author's institutionJosip Juraj Strossmayer University of Osijek
Faculty of Agrobiotechnical Sciences Osijek
(Department of Agricultural Engineering and Renewable Energy Resources)
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Agricultural Engineering and Technology
Abstract (english)
Previous research in continental Croatia indicated that cropland suitability levels are highly variable and existing natural resources could be better utilized. To overcome this issue, a method of multilevel Geographic information system (GIS)-based multicriteria analysis based on Analytic hierarchy process (AHP) for maize cropland suitability determination was proposed and evaluated. Free spatial data and free open-source software were implemented in the research in 250 m spatial resolution. The effects of air temperature, precipitation, soil and topography were modelled with the multilevel approach to avoid inconsistency in pairwise comparison due to criteria count. The maize suitability index (MSI) was calculated using the weighted linear combination, with higher values indicating proportionally higher suitability. According to the results of the AHP method, the weight consistency ratio was lower than the borderline value (0.042 < 0.100). Soil type and mean air temperature in June had the most impact on the suitability result, with 14.3% and 13.6% influence, respectively. The highest MSI values were achieved along the Sava River, especially in the proximity of Sisak and Nova Gradiška, resulting up to 3.9 of the possible 5.0. The sensitivity analysis of criteria indicated precipitation data in May, July and August particularly impactful in continental Croatia, while mean air temperature in September had very low variability of the suitability and was the least impactful on calculated MSI values.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - domestic
Publication versionPublished version
Journal titleJournal of Central European Agriculture
Numberingvol. 22, no. 3, pp. 636-645
e-ISSN1332-9049
DOIhttps://doi.org/10.5513/JCEA01/22.3.3176
URN:NBNurn:nbn:hr:151:742143
Publication2021-09-19
Document URLhttps://hrcak.srce.hr/262601
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-05-29 10:30:22