IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v139y2015icp93-99.html
   My bibliography  Save this article

Representative soil profiles for the Harmonized World Soil Database at different spatial resolutions for agricultural modelling applications

Author

Listed:
  • Jones, Peter G.
  • Thornton, Philip K.

Abstract

Agricultural modellers often need detailed soil profile data with which to run their models. We combine an extensive soil profile database with the Harmonized World Soil Database, a 30arcsecond raster database of soil information worldwide, and describe a statistical process to identify representative soil profiles for each of its 188 distinct soil types at different spatial resolutions. We then outline a method to cluster the soils in the Harmonized World Soil Database to produce soil maps at coarser resolution, and we describe derived global soil maps at spatial resolutions of 5 and 10arcmin, which may be more practical for some large-scale modelling studies. The derived data files allow a user to select any point or area on land and then to access the set of soil profiles pertaining to the mapping unit selected, which are available in a format suitable for use in modelling applications. In situations where the user has little or no other information about the soils in the region of study, the methods described can be used to produce plausible soil profile information based on the most up-to-date global soil map currently available.

Suggested Citation

  • Jones, Peter G. & Thornton, Philip K., 2015. "Representative soil profiles for the Harmonized World Soil Database at different spatial resolutions for agricultural modelling applications," Agricultural Systems, Elsevier, vol. 139(C), pages 93-99.
    • Handle: RePEc:eee:agisys:v:139:y:2015:i:c:p:93-99
    DOI: 10.1016/j.agsy.2015.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X1530007X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2015.07.003?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. Hertel, Thomas W. & Lobell, David B., 2014. "Agricultural adaptation to climate change in rich and poor countries: Current modeling practice and potential for empirical contributions," Energy Economics, Elsevier, vol. 46(C), pages 562-575.
    2. Jones, Peter G. & Thornton, Philip K., 2013. "Generating downscaled weather data from a suite of climate models for agricultural modelling applications," Agricultural Systems, Elsevier, vol. 114(C), pages 1-5.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fraga, H. & García de Cortázar Atauri, I. & Santos, J.A, 2018. "Viticultural irrigation demands under climate change scenarios in Portugal," Agricultural Water Management, Elsevier, vol. 196(C), pages 66-74.
    2. Parisa Paymard & Mohammad Bannayan & Reza Sadrabadi Haghighi, 2018. "Analysis of the climate change effect on wheat production systems and investigate the potential of management strategies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1237-1255, April.
    3. Fraga, Helder & Santos, João A., 2018. "Vineyard mulching as a climate change adaptation measure: Future simulations for Alentejo, Portugal," Agricultural Systems, Elsevier, vol. 164(C), pages 107-115.
    4. Henderson, Benjamin & Cacho, Oscar & Thornton, Philip & van Wijk, Mark & Herrero, Mario, 2018. "The economic potential of residue management and fertilizer use to address climate change impacts on mixed smallholder farmers in Burkina Faso," Agricultural Systems, Elsevier, vol. 167(C), pages 195-205.
    5. Zinhle Mashaba-Munghemezulu & George Johannes Chirima & Cilence Munghemezulu, 2021. "Modeling the Spatial Distribution of Soil Nitrogen Content at Smallholder Maize Farms Using Machine Learning Regression and Sentinel-2 Data," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    6. Shirsath, Paresh B. & Aggarwal, P.K. & Thornton, P.K. & Dunnett, A., 2017. "Prioritizing climate-smart agricultural land use options at a regional scale," Agricultural Systems, Elsevier, vol. 151(C), pages 174-183.
    7. Amit Kumar Basukala & Livia Rasche, 2022. "Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape," Land, MDPI, vol. 11(8), pages 1-25, August.
    8. Zongyao Sha & Dai Qiu & Husheng Fang & Yichun Xie & Jiangguang Tu & Xicheng Tan & Xiaolei Li & Jiangping Chen, 2022. "Assessing the Potential of Vegetation Carbon Uptake from Optimal Land Management in the Greater Guangzhou Area," Land, MDPI, vol. 11(11), pages 1-18, October.
    9. Global Commission on Adaptation, 2019. "Adapt Now," World Bank Publications - Books, The World Bank Group, number 32362, December.
    10. Yang, Chenyao & Fraga, Helder & Ieperen, Wim Van & Santos, João Andrade, 2017. "Assessment of irrigated maize yield response to climate change scenarios in Portugal," Agricultural Water Management, Elsevier, vol. 184(C), pages 178-190.
    11. Zunfu Lv & Yan Zhu & Xiaojun Liu & Hongbao Ye & Yongchao Tian & Feifei Li, 2018. "Climate change impacts on regional rice production in China," Climatic Change, Springer, vol. 147(3), pages 523-537, April.
    12. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.

    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. Jonathan E. Suk & Kristie L. Ebi & David Vose & Willy Wint & Neil Alexander & Koen Mintiens & Jan C. Semenza, 2014. "Indicators for Tracking European Vulnerabilities to the Risks of Infectious Disease Transmission due to Climate Change," IJERPH, MDPI, vol. 11(2), pages 1-18, February.
    2. Bell, N.O. & Bilbao, J.I. & Kay, M. & Sproul, A.B., 2022. "Future climate scenarios and their impact on heating, ventilation and air-conditioning system design and performance for commercial buildings for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    3. Diariétou Sambakhé & Lauriane Rouan & Jean-Noël Bacro & Eric Gozé, 2019. "Conditional optimization of a noisy function using a kriging metamodel," Journal of Global Optimization, Springer, vol. 73(3), pages 615-636, March.
    4. Jean-Marc MONTAUD, 2019. "Agricultural Drought Impacts on Crops Sector and Adaptation Options in Mali: a Macroeconomic Computable General Equilibrium Analysis," Working Papers 2018-2019_5, CATT - UPPA - Université de Pau et des Pays de l'Adour, revised Feb 2019.
    5. Habtemariam, Lemlem Teklegiorgis & Abate Kassa, Getachew & Gandorfer, Markus, 2017. "Impact of climate change on farms in smallholder farming systems: Yield impacts, economic implications and distributional effects," Agricultural Systems, Elsevier, vol. 152(C), pages 58-66.
    6. Rashid, Muhammad Adil & Jabloun, Mohamed & Andersen, Mathias Neumann & Zhang, Xiying & Olesen, Jørgen Eivind, 2019. "Climate change is expected to increase yield and water use efficiency of wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 222(C), pages 193-203.
    7. Song, Jingyu & Delgado, Michael & Preckel, Paul & Villoria, Nelson, 2016. "Pixel Level Cropland Allocation and Marginal Impacts of Biophysical Factors," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235327, Agricultural and Applied Economics Association.
    8. Carlos Manuel Hernández & Aliou Faye & Mamadou Ousseynou Ly & Zachary P. Stewart & P. V. Vara Prasad & Leonardo Mendes Bastos & Luciana Nieto & Ana J. P. Carcedo & Ignacio Antonio Ciampitti, 2021. "Soil and Climate Characterization to Define Environments for Summer Crops in Senegal," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    9. T. S. Amjath-Babu & Pramod K. Aggarwal & Sonja Vermeulen, 2019. "Climate action for food security in South Asia? Analyzing the role of agriculture in nationally determined contributions to the Paris agreement," Climate Policy, Taylor & Francis Journals, vol. 19(3), pages 283-298, March.
    10. Jerome Dumortier & Miguel Carriquiry & Amani Elobeid, 2021. "Impact of climate change on global agricultural markets under different shared socioeconomic pathways," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 963-984, November.
    11. Xinyu Dong & Peng Yuan & Yonghui Song & Wenxuan Yi, 2021. "Optimizing Green-Gray Infrastructure for Non-Point Source Pollution Control under Future Uncertainties," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    12. Rungruang Janta & Laksanara Khwanchum & Pakorn Ditthakit & Nadhir Al-Ansari & Nguyen Thi Thuy Linh, 2022. "Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    13. Yalew, Amsalu W. & Hirte, Georg & Lotze-Campen, Hermann & Tscharaktschiew, Stefan, 2017. "General equilibrium effects of public adaptation in agriculture in LDCs: Evidence from Ethiopia," CEPIE Working Papers 11/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    14. Richard Lalou & Benjamin Sultan & Bertrand Muller & Alphousseyni Ndonky, 2019. "Does climate opportunity facilitate smallholder farmers’ adaptive capacity in the Sahel?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-11, December.
    15. Euler, Michael & Hoffmann, Munir P. & Fathoni, Zakky & Schwarze, Stefan, 2016. "Exploring yield gaps in smallholder oil palm production systems in eastern Sumatra, Indonesia," Agricultural Systems, Elsevier, vol. 146(C), pages 111-119.
    16. Wei Xie & Qi Cui & Tariq Ali, 2019. "Role of market agents in mitigating the climate change effects on food economy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1215-1231, December.
    17. Kima, Aimé Sévérin & Traore, Seydou & Wang, Yu-Min & Chung, Wen-Guey, 2014. "Multi-genes programing and local scale regression for analyzing rice yield response to climate factors using observed and downscaled data in Sahel," Agricultural Water Management, Elsevier, vol. 146(C), pages 149-162.
    18. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
    19. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
    20. Parisa Paymard & Mohammad Bannayan & Reza Sadrabadi Haghighi, 2018. "Analysis of the climate change effect on wheat production systems and investigate the potential of management strategies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1237-1255, April.

    More about this item

    Keywords

    WISE 3.1; Soil profile; DSSAT; Cluster; MarkSimGCM; CMIP5;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:eee:agisys:v:139:y:2015:i:c:p:93-99. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    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.