Wild and domesticated animal abundance is associated with greater late-Holocene alpine plant diversity [Dataset]

The Source Data for Figs. 1–3 and Supplementary Figs. 1–11 generated in this study are provided in the Supplementary Data 11. For acces to any raw materials or core sediments from this study, please contact Dr. Inger Greve Alsos.-- Code availability: The R code used for the statistical analyses can...

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Detalhes bibliográficos
Autores: Garcés-Pastor, Sandra, Heintzman, Peter D., Zetter, Scarlett, Lammers, Youri, Yoccoz, Nigel Gilles, Theurillat, Jean-Paul, Schwörer, Christoph, Tribsch, Andreas, Walsh, Kevin, Vannière, Boris, Wangensteen, Owen S., Heiri, Oliver, Coissac, Eric, Lavergne, Sébastien, Vugt, Lieveke van, Rey, Fabian, Giguet-Covex, Charline, Ficetola, Gentile Francesco, Karger, Dirk N., Pellissier, Loïc, Schabetsberger, Robert, Haas, Jean Nicolas, Strasser, Michael, Koinig, Karin Anne, Goslar, Tomasz, Szidat, Sönke, PhyloAlps Consortium, Brown, Antony, Tinner, Willy, Greve, Inge
Formato: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/401419
Acesso em linha:http://hdl.handle.net/10261/401419
https://doi.org/10.20350/digitalCSIC/17613
Access Level:acceso abierto
Palavra-chave:http://metadata.un.org/sdg/15
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Descrição
Resumo:The Source Data for Figs. 1–3 and Supplementary Figs. 1–11 generated in this study are provided in the Supplementary Data 11. For acces to any raw materials or core sediments from this study, please contact Dr. Inger Greve Alsos.-- Code availability: The R code used for the statistical analyses can be found in Supplementary Code 1. The identified sequences were filtered in R using a custom script (available at https://github.com/Y-Lammers/MergeAndFilter)

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