Data and R code from "Grazing and ecosystem service delivery in global drylands"
There are two zip files with the data and R scripts used in the article "Maestre, F. T. et al. 2022. Grazing and ecosystem service delivery in global drylands. Science 378, 915–920". The file "Main_Data_code.zip" contains the data and R code used in the main analyses of the paper...
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Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
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Zusammenfassung: | There are two zip files with the data and R scripts used in the article "Maestre, F. T. et al. 2022. Grazing and ecosystem service delivery in global drylands. Science 378, 915–920". The file "Main_Data_code.zip" contains the data and R code used in the main analyses of the paper. These data also include the location and major environmental characteristics of the plots surveyed. The file "Livestock_data_code.zip" contains the data and R code used in the characterization and validation of grazing pressure levels (see Methods). Readme and metadata files including a description of the files, variables and units are provided. All the methodological details can be found in the article. Additional authors from the BIODESERT consortium not included in the author list (we reached the maximum number of authors allowed by figshare) include: Víctor Rolo, Juan G. Rubalcaba, Jan C. Ruppert, Ayman Salah, Max A. Schuchardt, Sedona Spann, Ilan Stavi, Colton R. A.Stephens, Anthony M. Swemmer, Alberto L. Teixido, Andrew D. Thomas, Heather L. Throop, Katja Tielbörger, Samantha Travers, James Val, Orsolya Valkó, Liesbeth van den Brink, Sergio Velasco Ayuso, Frederike Velbert, Wanyoike Wamiti, Deli Wang, Lixin Wang, Glenda M. Wardle, Laura Yahdjian, Eli Zaady, Yuanming Zhang and Xiaobing Zhou |
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DOI: | 10.6084/m9.figshare.14923065 |