IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i3p536-d1077389.html
   My bibliography  Save this article

Future Scenarios for Aridity under Conditions of Global Climate Change in Extremadura, Southwestern Spain

Author

Listed:
  • Francisco J. Moral

    (Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas, s/n., 06006 Badajoz, Spain)

  • Cristina Aguirado

    (Departamento de Ingeniería del Medio Agronómico y Forestal, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suárez, s/n., 06007 Badajoz, Spain)

  • Virginia Alberdi

    (Departamento de Expresión Gráfica, Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas, s/n., 06006 Badajoz, Spain)

  • Luis L. Paniagua

    (Departamento de Ingeniería del Medio Agronómico y Forestal, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suárez, s/n., 06007 Badajoz, Spain)

  • Abelardo García-Martín

    (Departamento de Ingeniería del Medio Agronómico y Forestal, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suárez, s/n., 06007 Badajoz, Spain)

  • Francisco J. Rebollo

    (Departamento de Expresión Gráfica, Escuela de Ingenierías Agrarias, Universidad de Extremadura, Avda. Adolfo Suárez, s/n., 06007 Badajoz, Spain)

Abstract

Aridity conditions in semi-arid lands with warm climates are key variables that must be assessed to properly manage water and plan to minimise the threat of desertification. This study analyses the spatial distribution of aridity in Extremadura, southwestern Spain, using the De Martonne aridity index (I DM ), considering a historical reference period (1971–2005) and three-time intervals: 2006–2035 (near future), 2036–2065 (mid-century) and 2066–2095 (end of the century). Projections were computed using a set of ten global climate model (GCM) and regional climate model (RCM) combinations under two representative concentration pathways (RCPs), RCP4.5, an intermediate anthropogenic radiative forcing scenario, and RCP8.5, a fossil-intensive emission scenario. Progressive strengthening of aridity conditions over Extremadura was evident until the end of the century, mainly under the RCP8.5 scenario. From the predominance of the Mediterranean aridity class in the south of the region during the reference period, semi-arid conditions will soon spread across this zone, occupying most of it during mid-century and later. In the north of Extremadura, less arid conditions will be reduced to the highest elevations, increasing the Mediterranean and semi-arid categories, particularly under the RCP8.5 scenario. Consequently, the projected increase in aridity conditions in Extremadura will make this region more vulnerable to climate change. Policies devoted to adapting to the expected conditions and controlling aridity in vulnerable areas will be necessary to mitigate the negative impacts, with significant environmental and socio-economic implications in the region.

Suggested Citation

  • Francisco J. Moral & Cristina Aguirado & Virginia Alberdi & Luis L. Paniagua & Abelardo García-Martín & Francisco J. Rebollo, 2023. "Future Scenarios for Aridity under Conditions of Global Climate Change in Extremadura, Southwestern Spain," Land, MDPI, vol. 12(3), pages 1-13, February.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:536-:d:1077389
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/3/536/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/3/536/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gaetano Pellicone & Tommaso Caloiero & Ilaria Guagliardi, 2019. "The De Martonne aridity index in Calabria (Southern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 15(2), pages 788-796, July.
    2. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    3. Noah Diffenbaugh & Filippo Giorgi, 2012. "Climate change hotspots in the CMIP5 global climate model ensemble," Climatic Change, Springer, vol. 114(3), pages 813-822, October.
    4. Jianping Huang & Haipeng Yu & Xiaodan Guan & Guoyin Wang & Ruixia Guo, 2016. "Accelerated dryland expansion under climate change," Nature Climate Change, Nature, vol. 6(2), pages 166-171, February.
    5. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
    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. Francisco J. Moral & Francisco J. Rebollo & Abelardo García-Martín & Luis L. Paniagua & Fulgencio Honorio, 2024. "Spatial and Temporal Analysis of Water Resources in the Olive-Growing Areas of Extremadura, Southwestern Spain," Land, MDPI, vol. 13(8), pages 1-13, August.

    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. Kokou Amega & Yendoubé Laré & Ramchandra Bhandari & Yacouba Moumouni & Aklesso Y. G. Egbendewe & Windmanagda Sawadogo & Saidou Madougou, 2022. "Solar Energy Powered Decentralized Smart-Grid for Sustainable Energy Supply in Low-Income Countries: Analysis Considering Climate Change Influences in Togo," Energies, MDPI, vol. 15(24), pages 1-24, December.
    2. Qun'ou Jiang & Yuwei Cheng & Qiutong Jin & Xiangzheng Deng & Yuanjing Qi, 2015. "Simulation of Forestland Dynamics in a Typical Deforestation and Afforestation Area under Climate Scenarios," Energies, MDPI, vol. 8(10), pages 1-26, September.
    3. Lu, Yongquan & Liu, Guilin & Xian, Yuyang & Tang, Jiaqi & Zhong, Liming, 2024. "Climate change brings both opportunities and challenges to rural revitalization in China: Evidence from apple geographical indication predictions," Agricultural Systems, Elsevier, vol. 216(C).
    4. Pedro Pérez-Cutillas & Pedro Baños Páez & Isabel Banos-González, 2020. "Variability of Water Balance under Climate Change Scenarios. Implications for Sustainability in the Rhône River Basin," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    5. Bilal, Hazrat & Siwar, Chamhuri & Mokhtar, Mazlin Bin & Lahlou, Fatima-Zahra & Kanniah, Kasturi Devi & Al-Ansari, Tareq, 2024. "Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus," Ecological Modelling, Elsevier, vol. 498(C).
    6. Sabina Thaler & Herbert Formayer & Gerhard Kubu & Miroslav Trnka & Josef Eitzinger, 2021. "Effects of Bias-Corrected Regional Climate Projections and Their Spatial Resolutions on Crop Model Results under Different Climatic and Soil Conditions in Austria," Agriculture, MDPI, vol. 11(11), pages 1-39, October.
    7. Rusu, Liliana, 2019. "Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios," Renewable Energy, Elsevier, vol. 142(C), pages 137-146.
    8. Gregory Casey & Soheil Shayegh & Juan Moreno-Cruz & Martin Bunzl & Oded Galor & Ken Caldeira, 2019. "The Impact of Climate Change on Fertility," Department of Economics Working Papers 2019-04, Department of Economics, Williams College.
    9. Dobes Leo & Jotzo Frank & Stern David I., 2014. "The Economics of Global Climate Change: A Historical Literature Review," Review of Economics, De Gruyter, vol. 65(3), pages 281-320, December.
    10. Grundy, Michael J. & Bryan, Brett A. & Nolan, Martin & Battaglia, Michael & Hatfield-Dodds, Steve & Connor, Jeffery D. & Keating, Brian A., 2016. "Scenarios for Australian agricultural production and land use to 2050," Agricultural Systems, Elsevier, vol. 142(C), pages 70-83.
    11. Vassiliki Varela & Diamando Vlachogiannis & Athanasios Sfetsos & Stelios Karozis & Nadia Politi & Frédérique Giroud, 2019. "Projection of Forest Fire Danger due to Climate Change in the French Mediterranean Region," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
    12. Antolin, Luís A.S. & Heinemann, Alexandre B. & Marin, Fábio R., 2021. "Impact assessment of common bean availability in Brazil under climate change scenarios," Agricultural Systems, Elsevier, vol. 191(C).
    13. Zhang, Feng & Zhang, Wenjuan & Li, Ming & Zhang, Yuan & Li, Fengmin & Li, Changbin, 2017. "Is crop biomass and soil carbon storage sustainable with long-term application of full plastic film mulching under future climate change?," Agricultural Systems, Elsevier, vol. 150(C), pages 67-77.
    14. Gilardelli, Carlo & Confalonieri, Roberto & Cappelli, Giovanni Alessandro & Bellocchi, Gianni, 2018. "Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change," Ecological Modelling, Elsevier, vol. 368(C), pages 1-14.
    15. repec:osf:socarx:nwxae_v1 is not listed on IDEAS
    16. Huanbi Yue & Chunyang He & Qingxu Huang & Da Zhang & Peijun Shi & Enayat A. Moallemi & Fangjin Xu & Yang Yang & Xin Qi & Qun Ma & Brett A. Bryan, 2024. "Substantially reducing global PM2.5-related deaths under SDG3.9 requires better air pollution control and healthcare," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    17. Rym Hadded & Mongi Ben Zaied & Fatma Elkmali & Giulio Castelli & Fethi Abdelli & Zouhaier Khabir & Khaled Ben Zaied & Elena Bresci & Mohamed Ouessar, 2025. "A Decision Support System for Managed Aquifer Recharge Through Non-Conventional Waters in the South of the Mediterranean," Resources, MDPI, vol. 14(4), pages 1-41, April.
    18. O'Neill, Brian, 2016. "The Shared Socioeconomic Pathways (SSPs) and their extension and use in impact, adaptation and vulnerability studies," Conference papers 332808, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Jinling Piao & Wen Chen & Shangfeng Chen & Hainan Gong & Lin Wang, 2021. "Mean states and future projections of precipitation over the monsoon transitional zone in China in CMIP5 and CMIP6 models," Climatic Change, Springer, vol. 169(3), pages 1-24, December.
    20. Daniel Ganea & Elena Mereuta & Liliana Rusu, 2018. "Estimation of the Near Future Wind Power Potential in the Black Sea," Energies, MDPI, vol. 11(11), pages 1-21, November.
    21. Yingying Lu & David I. Stern, 2016. "Substitutability and the Cost of Climate Mitigation Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(1), pages 81-107, May.

    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:jlands:v:12:y:2023:i:3:p:536-:d:1077389. 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.