The MARAS dataset, vegetation and soil characteristics of dryland rangelands across Patagonia

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10045/109574
Información del item - Informació de l'item - Item information
Título: The MARAS dataset, vegetation and soil characteristics of dryland rangelands across Patagonia
Autor/es: Oliva, Gabriel | dos Santos, Eder | Sofía, Osiris | Umaña, Fernando | Massara, Virginia | García Martínez, Guillermo | Caruso, Cecilia | Cariac, German | Echevarría, Daniela | Fantozzi, Anabella | Butti, Lucas | Bran, Donaldo E. | Gaitán, Juan J. | Ferrante, Daniela | Paredes, Paula | Domínguez, Erwin | Maestre, Fernando T.
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ecología | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"
Palabras clave: MARAS dataset | Vegetation | Soil data | Dryland rangelands | Patagonia
Área/s de conocimiento: Ecología
Fecha de publicación: 5-oct-2020
Editor: Springer Nature
Cita bibliográfica: Scientific Data. 2020, 7:327. https://doi.org/10.1038/s41597-020-00658-0
Resumen: We present the MARAS (Environmental Monitoring of Arid and Semiarid Regions) dataset, which stores vegetation and soil data of 426 rangeland monitoring plots installed throughout Patagonia, a 624.500 km2 area of southern Argentina and Chile. Data for each monitoring plot includes basic climatic and landscape features, photographs, 500 point intercepts for vegetation cover, plant species list and biodiversity indexes, 50-m line-intercept transect for vegetation spatial pattern analysis, land function indexes drawn from 11 measures of soil surface characteristics and laboratory soil analysis (pH, conductivity, organic matter, N and texture). Monitoring plots were installed between 2007 and 2019, and are being reassessed at 5-year intervals (247 have been surveyed twice). The MARAS dataset provides a baseline from which to evaluate the impacts of climate change and changes in land use intensity in Patagonian ecosystems, which collectively constitute one of the world´s largest rangeland areas. This dataset will be of interest to scientists exploring key ecological questions such as biodiversity-ecosystem functioning relationships, plant-soil interactions and climatic controls on ecosystem structure and functioning.
Patrocinador/es: Setup of the network was funded by by the Project GEF Patagonia PNUD ARG 07/G35 (2008–2014) “Sustainable Management of Arid and Semiarid systems for desertification control in Patagonia” Argentina. Further funding was assigned by INTA Project Observatorios de Sustentabilidad Rural PNNAT-1128035, Fundación Argeninta Proyecto Observatorio de (2015–2016) and Ley 25.422 para la Recuperación de la Ganadería Ovina (2017–2019) of Argentina. Erwin Domínguez was funded by Ministerio de Agricultura through the “Sistemas de Praderas Estepáricas de Zonas Frías de Chile” Project 502093-70. Fernando T. Maestre acknowledges support from the European Research Council (ERC Grant agreements 242658 [BIOCOM] and 647038 [BIODESERT]) and by Generalitat Valenciana (BIOMORES project, CIDEGENT/2018/041).
URI: http://hdl.handle.net/10045/109574
ISSN: 2052-4463
DOI: 10.1038/s41597-020-00658-0
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
Revisión científica: si
Versión del editor: https://doi.org/10.1038/s41597-020-00658-0
Aparece en las colecciones:INV - DRYLAB - Artículos de Revistas
Investigaciones financiadas por la UE
Personal Investigador sin Adscripción a Grupo

Archivos en este ítem:
Archivos en este ítem:
Archivo Descripción TamañoFormato 
ThumbnailOliva_etal_2020_SciData.pdf2,5 MBAdobe PDFAbrir Vista previa


Este ítem está licenciado bajo Licencia Creative Commons Creative Commons