The global biogeography and environmental drivers of fairy circles

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Título: The global biogeography and environmental drivers of fairy circles
Autor/es: Guirado, Emilio | Delgado-Baquerizo, Manuel | Benito, Blas M. | Molina-Pardo, José Luis | Berdugo, Miguel | Martínez-Valderrama, Jaime | Maestre, Fernando T.
Grupo/s de investigación o GITE: Laboratorio de Ecología de Zonas Áridas y Cambio Global (DRYLAB)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ecología | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"
Palabras clave: Spatial patterns | Grassland | Drylands
Fecha de publicación: 25-sep-2023
Editor: National Academy of Science
Cita bibliográfica: PNAS. 2023, 120(40): e2304032120. https://doi.org/10.1073/pnas.2304032120
Resumen: Fairy circles (FCs) are regular vegetation patterns found in drylands of Namibia and Western Australia. It is virtually unknown whether they are also present in other regions of the world and which environmental factors determine their distribution. We conducted a global systematic survey and found FC-like vegetation patterns in 263 sites from 15 countries and three continents, including the Sahel, Madagascar, and Middle-West Asia. FC-like vegetation patterns are found in environments characterized by a unique combination of soil (including low nutrient levels and high sand content) and climatic (arid regions with high temperatures and high precipitation seasonality) conditions. In addition to these factors, the presence of specific biological elements (termite nests) in certain regions also plays a role in the presence of these patterns. Furthermore, areas with FC-like vegetation patterns also showed more stable temporal productivity patterns than those of surrounding areas. Our study presents a global atlas of FCs and provides unique insights into the ecology and biogeography of these fascinating vegetation patterns.
Patrocinador/es: This research was funded by the European Research Council (BIODESERT project, Grant agreement 647038), Generalitat Valenciana (CIDEGENT/2018/041), and the Spanish Ministry of Science and Innovation (EUR2022-134048). M.D-B. acknowledges support from TED2021-130908B-C41/AEI/10.13039/501100011033/Unión Europea NextGenerationEU/PRTR and from the Spanish Ministry of Science and Innovation for the I + D + i project PID2020-115813RA-I00 funded by MCIN/AEI/10.13039/501100011033. E.G. acknowledges the support by the Generalitat Valenciana and the European Social Fund (APOSTD/2021/188). M.B. is also supported by a Ramón y Cajal grant (RYC2021-031797-I).
URI: http://hdl.handle.net/10045/137539
ISSN: 0027-8424 (Print) | 1091-6490 (Online)
DOI: 10.1073/pnas.2304032120
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2023 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
Revisión científica: si
Versión del editor: https://doi.org/10.1073/pnas.2304032120
Aparece en las colecciones:INV - DRYLAB - Artículos de Revistas
Investigaciones financiadas por la UE

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