IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i5d10.1007_s10668-021-01695-4.html
   My bibliography  Save this article

Soil water seasonal and spatial variability in Northeast Brazil

Author

Listed:
  • Lucas Eduardo Oliveira Aparecido

    (Federal Institute of Mato Grosso Do Sul (IFMS) - Navirai)

  • Pedro Antonio Lorençone

    (Federal Institute of Mato Grosso Do Sul (IFMS) - Navirai)

  • João Antonio Lorençone

    (Federal Institute of Mato Grosso Do Sul (IFMS) - Navirai)

  • Kamila Cunha Meneses

    (State University of Sao Paulo (FCAV/UNESP) - Jaboticabal)

  • José Reinaldo da Silva Cabral Moraes

    (Federal Institute of Mato Grosso Do Sul (IFMS) - Navirai)

  • Maryzélia Furtado Farias

    (Universidade Federal Do Maranhão)

Abstract

The Brazilian Northeast has great agricultural potential; however, the region suffers from high variability in precipitation. Water is the main element for plant development, and its entry and exit in the soil can be counted by water balance (WB). Therefore, the objective of this study was to determine the spatial and seasonal water conditions in Northeastern Brazil and thus show that the region can be a major agricultural producer. A historical series of rainfall and air temperature from 1950 to 1990, collected from 1536 surface weather stations, representing the entire region, was used. Potential evapotranspiration (PET) was estimated using the Thornthwaite (1948) method and WB by the Thornthwaite and Mather (1955) method, using an available water capacity (WC) of 100 mm, as it is the value used to characterize water availability. Descriptive analysis was performed to identify the variations of the data set, and the probability test was performed by the Kolmogorov–Smirnov method. The data were specialized using the kriging method. The distribution of air temperature values showed that the region had a temperature between 20 and 29 °C. The state of Maranhão (MA) was the warmest, with a probability of occurrence of 28 °C reaching 92%. MA is a state with climatic classes like Am, Aw, and As according to Köppen (1936). The rainfall in the northeast was between 955 mm annual−1 and 1600 mm annual−1, with the highest concentration in the state of MA and the lowest in Rio Grande do Norte (RN). Soil water storage (STO) was greater in January to June, mainly on the coast. Most of the water surplus (EXC) was distributed between May and July, a total of 60%, concentrated in MA and the northeastern coast. The averages were 200 mm annual−1 to 700 mm annual−1 for the water deficit (DEF), with the highest values concentrated in the Ceará (CE) state, with a high probability of occurrence. In CE the classes As and BSh according to Köppen (1936) predominate. The general mean of the region Northeast Brazil for STO, EXC, and DEF was 43.6 (± 17.6) mm, 231.4 (± 276) mm, and 430.6 (± 168.6) mm, respectively.

Suggested Citation

  • Lucas Eduardo Oliveira Aparecido & Pedro Antonio Lorençone & João Antonio Lorençone & Kamila Cunha Meneses & José Reinaldo da Silva Cabral Moraes & Maryzélia Furtado Farias, 2022. "Soil water seasonal and spatial variability in Northeast Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6136-6152, May.
  • Handle: RePEc:spr:endesu:v:24:y:2022:i:5:d:10.1007_s10668-021-01695-4
    DOI: 10.1007/s10668-021-01695-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01695-4
    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/s10668-021-01695-4?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. Connor, Jeffery D. & Schwabe, Kurt & King, Darran & Knapp, Keith, 2012. "Irrigated agriculture and climate change: The influence of water supply variability and salinity on adaptation," Ecological Economics, Elsevier, vol. 77(C), pages 149-157.
    2. Pinheiro, Everton Alves Rodrigues & de Jong van Lier, Quirijn & Šimůnek, Jirka, 2019. "The role of soil hydraulic properties in crop water use efficiency: A process-based analysis for some Brazilian scenarios," Agricultural Systems, Elsevier, vol. 173(C), pages 364-377.
    3. Jennifer Burney & Daniele Cesano & Jarrod Russell & Emilio Rovere & Thais Corral & Nereide Coelho & Laise Santos, 2014. "Climate change adaptation strategies for smallholder farmers in the Brazilian Sertão," Climatic Change, Springer, vol. 126(1), pages 45-59, September.
    4. Amare, Mulubrhan & Jensen, Nathaniel D. & Shiferaw, Bekele & Cissé, Jennifer Denno, 2018. "Rainfall shocks and agricultural productivity: Implication for rural household consumption," Agricultural Systems, Elsevier, vol. 166(C), pages 79-89.
    5. Jose Marengo & Mauro Bernasconi, 2015. "Regional differences in aridity/drought conditions over Northeast Brazil: present state and future projections," Climatic Change, Springer, vol. 129(1), pages 103-115, March.
    6. Bernhard Schauberger & Sotirios Archontoulis & Almut Arneth & Juraj Balkovic & Philippe Ciais & Delphine Deryng & Joshua Elliott & Christian Folberth & Nikolay Khabarov & Christoph Müller & Thomas A. , 2017. "Consistent negative response of US crops to high temperatures in observations and crop models," Nature Communications, Nature, vol. 8(1), pages 1-9, April.
    7. Carvalho, André Luiz de & Menezes, Rômulo Simões Cezar & Nóbrega, Ranyére Silva & Pinto, Alexandre de Siqueira & Ometto, Jean Pierre Henry Balbaud & von Randow, Celso & Giarolla, Angélica, 2015. "Impact of climate changes on potential sugarcane yield in Pernambuco, northeastern region of Brazil," Renewable Energy, Elsevier, vol. 78(C), pages 26-34.
    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. Jeetendra Prakash Aryal & Tek B. Sapkota & Ritika Khurana & Arun Khatri-Chhetri & Dil Bahadur Rahut & M. L. Jat, 2020. "Climate change and agriculture in South Asia: adaptation options in smallholder production systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5045-5075, August.
    2. Islam, Asif & Hyland, Marie, 2019. "The drivers and impacts of water infrastructure reliability – a global analysis of manufacturing firms," Ecological Economics, Elsevier, vol. 163(C), pages 143-157.
    3. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    4. Fatimah, Alfariany Milati & Kofol, Chiara, 2023. "Migrating for children’s better future: Intergenerational mobility of internal migrants’ children in Indonesia," Journal of Asian Economics, Elsevier, vol. 86(C).
    5. Francesca Marchetta & David E Sahn & Luca Tiberti, 2019. "The Role of Weather on Schooling and Work of Young Adults in Madagascar," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 1203-1227.
    6. Díaz, Juan-José & Saldarriaga, Victor, 2023. "A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru," Journal of Health Economics, Elsevier, vol. 89(C).
    7. Donato Masciandaro & Riccardo Russo, 2022. "Central Banks and Climate Policy: Unpleasant Trade–Offs? A Principal–Agent Approach," BAFFI CAREFIN Working Papers 22181, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    8. Paulo Eduardo Teodoro & Luciano de Souza Maria & Jéssica Marciella Almeida Rodrigues & Adriana de Avila e Silva & Maiara Cristina Metzdorf da Silva & Samara Santos de Souza & Fernando Saragosa Rossi &, 2022. "Wildfire Incidence throughout the Brazilian Pantanal Is Driven by Local Climate Rather Than Bovine Stocking Density," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    9. Mercure, J.-F. & Paim, M.A. & Bocquillon, P. & Lindner, S. & Salas, P. & Martinelli, P. & Berchin, I.I. & de Andrade Guerra, J.B.S.O & Derani, C. & de Albuquerque Junior, C.L. & Ribeiro, J.M.P. & Knob, 2019. "System complexity and policy integration challenges: The Brazilian Energy- Water-Food Nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 230-243.
    10. Paff, K. & Timlin, D. & Fleisher, D.H., 2023. "A comparison of wheat leaf-appearance rate submodules for DSSAT CROPSIM-CERES (CSCER)," Ecological Modelling, Elsevier, vol. 482(C).
    11. Franklin Paredes-Trejo & Humberto Alves Barbosa & Gabriel Antunes Daldegan & Ingrid Teich & César Luis García & T. V. Lakshmi Kumar & Catarina de Oliveira Buriti, 2023. "Impact of Drought on Land Productivity and Degradation in the Brazilian Semiarid Region," Land, MDPI, vol. 12(5), pages 1-19, April.
    12. Barasa Bernard & Majaliwa J. G. Mwanjalolo & Banduga Moses & Katwere James & Magaya Paul & Sadadi Ojoatre & Wanjiru Lydia & Margaret N. Walusimbi, 2022. "A Simplified Spatial Methodology for Assessing Land Productivity Status in Africa," Land, MDPI, vol. 11(5), pages 1-19, May.
    13. da Silva, Antonio Samuel Alves & Stosic, Tatijana & Arsenić, Ilija & Menezes, Rômulo Simões Cezar & Stosic, Borko, 2023. "Multifractal analysis of standardized precipitation index in Northeast Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    14. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
    15. 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.
    16. Amare, Mulubrhan & Abay, Kibrom A. & Tiberti, Luca & Chamberlin, Jordan, 2021. "COVID-19 and food security: Panel data evidence from Nigeria," Food Policy, Elsevier, vol. 101(C).
    17. Elguellab, Ali & Ezzahid, Elhadj, 2023. "Dissecting the Moroccan business cycle: A trade-based identification of agricultural supply shocks," Economic Modelling, Elsevier, vol. 129(C).
    18. Zhou, Li & Turvey, Calum G., 2014. "Climate change, adaptation and China's grain production," China Economic Review, Elsevier, vol. 28(C), pages 72-89.
    19. Birthal, Pratap S. & Hazrana, Jaweriah & Roy, Devesh & Satyasai, K. J. S, 2024. "Can Finance Mitigate Climate Risks in Agriculture? Farm-level Evidence from India," Policy Papers 344992, ICAR National Institute of Agricultural Economics and Policy Research (NIAP).
    20. Adamson, David & Loch, Adam, 2014. "Possible negative feedbacks from ‘gold-plating’ irrigation infrastructure," Agricultural Water Management, Elsevier, vol. 145(C), pages 134-144.

    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:5:d:10.1007_s10668-021-01695-4. 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.