IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i9p1307-d897903.html
   My bibliography  Save this article

GIS-Based Evaluation of Soil Suitability for Optimized Production on U.S. Tribal Lands

Author

Listed:
  • Harrison W. Smith

    (Environmental Dynamics Program, University of Arkansas, Fayetteville, AR 72701, USA)

  • Amanda J. Ashworth

    (Poultry Production and Product Safety Research Unit, USDA-ARS, 1260 W. Maple St., Fayetteville, AR 72701, USA)

  • Phillip R. Owens

    (Dale Bumpers Small Farms Research Center, USDA-ARS, 6883 S. Hwy 23, Booneville, AR 72927, USA)

Abstract

Optimizing soil—crop—landscape occurrence is essential for sustainable intensification and food security, but little work has been done to evaluate these parameters on Tribal lands. The objective of this study was to develop first ever high-resolution crop suitability maps and compare two established crop suitability models for their ability to optimize soil resource management of the Quapaw Tribal lands. We built on previously developed continuous soil properties maps for 22,880 ha of Quapaw Tribal lands that used a digital elevation model and a fuzzy-logic based data mining approach to calculate and evaluate the Dideriksen and Storie crop suitability indices. Suitability index results were evaluated against observed yield ( n ≥ 130,000) within the study area. Results showed that the observed yield was positively correlated with the Storie suitability index (Spearman rho = 0.16, p < 0.01), but not the Dideriksen index, suggesting the Storie index is more appropriate than the Dideriksen for modeling crop suitability in this area. Additionally, very little (<13%) of the highly suitable soils in the Quapaw Tribal lands are currently used for crop production, suggesting potential yield gaps from the underutilization of highly suitable soils. Future research could improve estimates through the development of novel suitability indices for closing yield gaps and further improved sustainable intensification.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1307-:d:897903
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/9/1307/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/9/1307/
    Download Restriction: no
    ---><---

    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. Liuyue He & Sufen Wang & Congcong Peng & Qian Tan, 2018. "Optimization of Water Consumption Distribution Based on Crop Suitability in the Middle Reaches of Heihe River," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    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. 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.
    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. 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).
    4. 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.
    5. Fan, Yunfei & He, Liuyue & Liu, Yi & Wang, Sufen, 2022. "Optimal cropping patterns can be conducive to sustainable irrigation: Evidence from the drylands of Northwest China," Agricultural Water Management, Elsevier, vol. 274(C).
    6. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    7. 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.
    8. Akpoti, Komlavi & Groen, Thomas & Dossou-Yovo, Elliott & Kabo-bah, Amos T. & Zwart, Sander J., 2022. "Climate change-induced reduction in agricultural land suitability of West-Africa's inland valley landscapes," Agricultural Systems, Elsevier, vol. 200(C).
    9. Hossein Mikhak & Mehdi Rahimian & Saeed Gholamrezai, 2022. "Implications of changing cropping pattern to low water demand plants due to climate change: evidence from Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9833-9850, August.
    10. Irina Pilvere & Aleksejs Nipers & Agnese Krievina & Ilze Upite & Daniels Kotovs, 2022. "LASAM Model: An Important Tool in the Decision Support System for Policymakers and Farmers," Agriculture, MDPI, vol. 12(5), pages 1-26, May.
    11. Lijing Tang & Yuanyuan Yang & Dongyan Wang & Qing Wei, 2022. "Optimizing County-Level Land-Use Structure Method: Case Study of W County, China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    12. Tingting Pan & Yu Zhang & Fengqin Yan & Fenzhen Su, 2023. "Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 12(4), pages 1-17, March.
    13. Rovelli, Roberto & Senes, Giulio & Fumagalli, Natalia & Sacco, Jessica & De Montis, Andrea, 2020. "From railways to greenways: a complex index for supporting policymaking and planning. A case study in Piedmont (Italy)," Land Use Policy, Elsevier, vol. 99(C).
    14. Shen Yuan & Kazuki Saito & Pepijn A. J. van Oort & Martin K. van Ittersum & Shaobing Peng & Patricio Grassini, 2024. "Intensifying rice production to reduce imports and land conversion in Africa," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    15. Yongzhong Tan & Hang Chen & Kuan Lian & Zhenning Yu, 2020. "Comprehensive Evaluation of Cultivated Land Quality at County Scale: A Case Study of Shengzhou, Zhejiang Province, China," IJERPH, MDPI, vol. 17(4), pages 1-15, February.
    16. Haowen Lin & Hong Yun, 2023. "Spatiotemporal Dynamics of Ecosystem Services Driven by Human Modification over the Past Seven Decades: A Case Study of Sihu Agricultural Watershed, China," Land, MDPI, vol. 12(3), pages 1-22, February.
    17. Yinshuai Li & Chunyan Chang & Yongchang Zhao & Zhuoran Wang & Tao Li & Jianwei Li & Jiacong Dou & Ruibin Fan & Qiyao Wang & Jingwen Yang & Shuwei Zhang & Gengxing Zhao, 2021. "Evaluation System Transformation of Multi-Scale Cultivated Land Quality and Analysis of Its Spatio-Temporal Variability," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    18. Jafar Nabati & Ahmad Nezami & Ehsan Neamatollahi & Morteza Akbari, 2023. "An integrated approach land suitability for agroecological zoning based on fuzzy inference system and GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2316-2338, March.
    19. Ahmad Bathaei & Dalia Štreimikienė, 2023. "A Systematic Review of Agricultural Sustainability Indicators," Agriculture, MDPI, vol. 13(2), pages 1-19, January.
    20. Yanan Liu & Kening Wu & Xiaoliang Li & Xiao Li & Hailong Cao, 2022. "Adaptive Management of Cultivated Land Use Zoning Based on Land Types Classification: A Case Study of Henan Province," Land, MDPI, vol. 11(3), pages 1-22, February.

    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:gam:jagris:v:12:y:2022:i:9:p:1307-:d:897903. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.