IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i11d10.1007_s10668-021-01985-x.html
   My bibliography  Save this article

An important tool against combat climate change: Land suitability assessment for canola (a case study: Çanakkale, NW Turkey)

Author

Listed:
  • Timuçin Everest

    (Çanakkale Onsekiz Mart University)

  • Hakan Koparan

    (Çanakkale Agriculture and Forestry Directorate)

  • Ali Sungur

    (Çanakkale Onsekiz Mart University)

  • Hasan Özcan

    (Çanakkale Onsekiz Mart University)

Abstract

Authorities working to combat climate change should consider land suitability studies for crop-based energy crops rather than broad and categorical land assessments, particularly over macro-areas, to facilitate decisions and policy-making. The primary objective of the present study was to identify suitable productive lands in Çanakkale province, NW Turkey for canola, which may constitute an alternative energy crop to fossil fuels and aid in combating climate change. Literature findings, land observations, analytic hierarchy process (AHP) and geographic information systems (GIS) were used to generate a land suitability model for canola farming in arable lands of Çanakkale province. Within the scope of the study, 12 physical, chemical and topographic parameters (soil texture, pH, EC, depth, organic matter, N, P, K, CaCO3 contents, aspect, slope and elevation) were assessed. Analyses revealed that 5798.28 ha were highly suitable (S1), 18,647.11 ha were moderately suitable (S2), 9342.71 ha were marginally suitable (S3) and 3070.92 ha were not suitable (N) for canola farming. The topographic parameters of slope and soil depth were identified as the primary effective factors and chemical parameters of soil pH and EC were identified as the secondary effective factors. Climate change, alternative searches for energy resources and increasing land demands make it necessary to use land resources more effectively. The combination of GIS and AHP techniques provided useful results in the canola example for the utilization of land resources in accordance with increasing demands. Widespread use of this approach for different energy crops will provide a significant tool to the authorities for carbon management.

Suggested Citation

  • Timuçin Everest & Hakan Koparan & Ali Sungur & Hasan Özcan, 2022. "An important tool against combat climate change: Land suitability assessment for canola (a case study: Çanakkale, NW Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13137-13172, November.
  • Handle: RePEc:spr:endesu:v:24:y:2022:i:11:d:10.1007_s10668-021-01985-x
    DOI: 10.1007/s10668-021-01985-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01985-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-021-01985-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vasu, Duraisamy & Srivastava, Rajeev & Patil, Nitin G. & Tiwary, Pramod & Chandran, Padikkal & Kumar Singh, Surendra, 2018. "A comparative assessment of land suitability evaluation methods for agricultural land use planning at village level," Land Use Policy, Elsevier, vol. 79(C), pages 146-163.
    2. Akpoti, Komlavi & Kabo-bah, Amos T. & Zwart, Sander J., 2019. "Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis," Agricultural Systems, Elsevier, vol. 173(C), pages 172-208.
    3. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    4. H. Damon Matthews & Nathan P. Gillett & Peter A. Stott & Kirsten Zickfeld, 2009. "The proportionality of global warming to cumulative carbon emissions," Nature, Nature, vol. 459(7248), pages 829-832, June.
    5. Amal Aldababseh & Marouane Temimi & Praveen Maghelal & Oliver Branch & Volker Wulfmeyer, 2018. "Multi-Criteria Evaluation of Irrigated Agriculture Suitability to Achieve Food Security in an Arid Environment," Sustainability, MDPI, vol. 10(3), pages 1-33, March.
    6. Tiwari, D. N. & Loof, R. & Paudyal, G. N., 1999. "Environmental-economic decision-making in lowland irrigated agriculture using multi-criteria analysis techniques," Agricultural Systems, Elsevier, vol. 60(2), pages 99-112, May.
    7. Timuçin Everest, 2021. "Suitable site selection for pistachio (Pistacia vera) by using GIS and multi-criteria decision analyses (a case study in Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7686-7705, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shouqiang Yin & Jing Li & Jiaxin Liang & Kejing Jia & Zhen Yang & Yuan Wang, 2020. "Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
    2. Siva K. Balasundram & Redmond R. Shamshiri & Shankarappa Sridhara & Nastaran Rizan, 2023. "The Role of Digital Agriculture in Mitigating Climate Change and Ensuring Food Security: An Overview," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    3. Ge Song & Hongmei Zhang, 2021. "Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China," Land, MDPI, vol. 10(2), pages 1-19, January.
    4. Harrison W. Smith & Amanda J. Ashworth & Phillip R. Owens, 2022. "GIS-Based Evaluation of Soil Suitability for Optimized Production on U.S. Tribal Lands," Agriculture, MDPI, vol. 12(9), pages 1-10, August.
    5. Talukdar, Swapan & Naikoo, Mohd Waseem & Mallick, Javed & Praveen, Bushra & Shahfahad, & Sharma, Pritee & Islam, Abu Reza Md. Towfiqul & Pal, Swades & Rahman, Atiqur, 2022. "Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping," Agricultural Systems, Elsevier, vol. 196(C).
    6. Simon Levin & Anastasios Xepapadeas, 2021. "On the Coevolution of Economic and Ecological Systems," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 355-377, October.
    7. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    8. Diebold, Francis X. & Rudebusch, Glenn D., 2023. "Climate models underestimate the sensitivity of Arctic sea ice to carbon emissions," Energy Economics, Elsevier, vol. 126(C).
    9. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2018. "The climate beta," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 258-274.
    10. Wang, Jianda & Yang, Senmiao & Dong, Kangyin & Nepal, Rabindra, 2024. "Assessing embodied carbon emission and its drivers in China's ICT sector: Multi-regional input-output and structural decomposition analysis," Energy Policy, Elsevier, vol. 186(C).
    11. Francisco J. André & Laura Riesgo, 2006. "A Duality Procedure to Elicit Nonlinear Multiattribute Utility Functions," Working Papers 06.02, Universidad Pablo de Olavide, Department of Economics.
    12. Phella, Anthoulla & Gabriel, Vasco J. & Martins, Luis F., 2024. "Predicting tail risks and the evolution of temperatures," Energy Economics, Elsevier, vol. 131(C).
    13. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    14. Gustav Engström & Johan Gars, 2016. "Climatic Tipping Points and Optimal Fossil-Fuel Use," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(3), pages 541-571, November.
    15. Agliardi, Elettra & Xepapadeas, Anastasios, 2022. "Temperature targets, deep uncertainty and extreme events in the design of optimal climate policy," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    16. H. Damon Matthews & Kirsten Zickfeld & Alexander Koch & Amy Luers, 2023. "Accounting for the climate benefit of temporary carbon storage in nature," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    17. W. A. Brock & A. Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," Working Papers 2015.66, Fondazione Eni Enrico Mattei.
    18. Pietro De Marinis & Paolo Stefano Ferrario & Guido Sali & Giulio Senes, 2022. "The Rapid and Participatory Assessment of Land Suitability in Development Cooperation," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    19. Traeger, Christian, 2021. "ACE - Analytic Climate Economy," CEPR Discussion Papers 15968, C.E.P.R. Discussion Papers.
    20. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:11:d:10.1007_s10668-021-01985-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.