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Geographic information system–assisted site quality assessment for hazelnut cultivation using multi-criteria decision analysis in the Black Sea region, Turkey

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Abstract

Developing land suitability models for strategically critical agricultural products to expand sustainable agricultural policies and sensitive agriculture management has become a significant trend. This study aims to improve a unique land suitability model for hazelnut cultivation by applying the criteria set (7 main criteria, 35 sub-criteria) including qualitative and quantitative reasons, integrated fuzzy analytic hierarchy process, inverse distance weighting, multi-criteria decision analysis, geographic information system, and weighted linear combination approaches. The model developed in the present study was applied and tested in Ünye District of Ordu Province, where hazelnut production in the Eastern Black Sea region of Turkey is an important economic activity. While 71.17% of the study area is classified as very highly suitable, highly suitable, and moderately suitable, 28.83% of the study area has marginally suitable and unsuitable properties for hazelnut cultivation. Generally, it was determined that the coastal parts of the study area were the most suitable areas for hazelnut growing. The hazelnut land suitability model’s two main criteria impacting the final score values are climatic and topographic conditions, respectively. Heavy metal pollution and physical, chemical, and fertility conditions related to soil properties followed these, respectively. The first ten sub-criteria with the highest weight value were determined as elevation, annual average temperature, annual average precipitation, aspect, annual average relative humidity, nickel (pollution), slope, annual average maximum temperature, lead (pollution), and soil depth, respectively. Existing hazelnut cultivation areas were used to test the model. Of the existing cultivation areas, 75.59% coincided with the very highly suitable, highly suitable, and moderately suitable classes presented in this study, while 17.15% were in marginally suitable and 7.26% in unsuitable classes. The study results reveal that the hazelnut land suitability model developed is suitable in mild climate conditions. Using this model as a general transition model will be beneficial to test it in areas containing similar climatic conditions and various soil properties. This study will create a rational background in ensuring the sustainable food production system and security, agricultural land use planning, strategic planning and management of the hazelnut plant, increasing agricultural productivity and income, and the ecosystem.

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The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

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Contributions

ET and OD conceived the ideas and designed methodology, and collected the data; ET, OD, BO, and MAD analyzed the data; ET, OD, and MAD developed figure presentations; ET and OD led the writing of the manuscript; all authors (ET, OD, BO, MAD, and YBO) edited and revised the paper and gave final approval for publication.

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Correspondence to Emre Tercan.

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Appendix

Appendix

Table 13

Table 14

Table 15

Table 16

Table 17

Table 18

Table 19

Table 13 Pairwise comparisons matrix for main-criteria
Table 14 Pairwise comparisons matrix for topographical conditions criteria
Table 15 Pairwise comparisons matrix for heavy metal pollution conditions criteria
Table 16 Pairwise comparisons matrix for physical conditions of soil criteria
Table 17 Pairwise comparisons matrix for chemical conditions of soil criteria
Table 18 Pairwise comparisons matrix for fertility conditions of soil (macro)criteria
Table 19 Pairwise comparisons matrix for fertility conditions of soil (micro) criteria

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Tercan, E., Dengiz, O., Özkan, B. et al. Geographic information system–assisted site quality assessment for hazelnut cultivation using multi-criteria decision analysis in the Black Sea region, Turkey. Environ Sci Pollut Res 29, 35908–35933 (2022). https://doi.org/10.1007/s11356-021-18127-5

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  • DOI: https://doi.org/10.1007/s11356-021-18127-5

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