Airborne DNA reveals predictable spatial and seasonal dynamics of fungi
8 pages, 4 figures, supplementary information https://doi.org/10.1038/s41586-024-07658-9.-- Data availability: All data used in this paper are available at Zenodo (https://doi.org/10.5281/zenodo.10444737)59. GSSP data were downloaded from Ovaskainen et al.3. Climatic data were downloaded from the Co...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/366562 |
| Acceso en línea: | http://hdl.handle.net/10261/366562 |
| Access Level: | acceso abierto |
| Palabra clave: | http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
| Sumario: | 8 pages, 4 figures, supplementary information https://doi.org/10.1038/s41586-024-07658-9.-- Data availability: All data used in this paper are available at Zenodo (https://doi.org/10.5281/zenodo.10444737)59. GSSP data were downloaded from Ovaskainen et al.3. Climatic data were downloaded from the Copernicus Climate Change Service Climate Data Store42 (‘ERA5 hourly data on single levels dataset’ and ‘sis biodiversity era5 global dataset’). We extracted spore size and trophic guild data from data assembled by Aguilar-Trigueros et al.54. Spore size data originate from species-level taxonomic descriptions in Mycobank.-- Code availability: The R pipeline that can be used to reproduce the results of this paper is available at Zenodo (https://doi.org/10.5281/zenodo.10444737)59. All analyses were conducted in R v.4.3.1 (ref. 82) with the packages ade4 1.7-22, adespatial 0.3-23, ape 5.7-1, ecmwfr 1.5.0, geosphere 1.5-18, Hmsc 3.0-14, jsonify 1.2.2, kgc 1.0.0.2, lme4 1.1-35.1, lubridate 1.9.3, maps 3.4.2, MASS 7.3-60, ncdf4 1.22, nlme 3.1-162, phyloseq 1.46.0, phytools 2.1-1, raster 3.6-26, rgdal 1.6-7, scales 1.3.0, sjstats 0.18.2, tidyverse 2.0.0, vegan 2.6.4, VennDiagram 1.7.3, vioplot 0.4.0 and wordcloud 2.6 |
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