Published August 17, 2022 | Version v1

Extreme weather events threaten biodiversity and functions of river ecosystems: dataset for conducting the meta-analysis

  • 1. Catalan Institute of Water Research (ICRA), Carrer Emili Grahit 101, 17003 Girona, Catalonia, Spain
  • 2. University of Girona, Plaça de Sant Domènec 3, 17004 Girona, Catalonia, Spain
  • 3. Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus of Gualtar, 4710-057 Braga, Portugal
  • 4. Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile.
  • 5. Museo Nacional de Ciencias Naturales (CSIC-MNCN), C. de José Gutiérrez Abascal, 28006, Madrid, Spain.

Description

This repository contains the code and dataset to replicate the meta-analysis conducted by Sabater et al. entitled "Extreme weather events threaten biodiversity and functions of river ecosystems: evidence from a meta-analysis"

Metadata:

- metaanalysis_GlobalEvidenceRivers_Rscript.R - R Script to conduct the meta-analysis

- structural_resp.csv - table with data to perform the species richness, density, and biomass meta-analysis. It includes the mean, SD (or SE), and sample number of the studies included in the meta-analysis, as well as information on the paper authors, year of publication, and type of study (experimental or observational). It also includes co-variates and the author who subtracts the information from the paper.

- functional_resp.csv - table with data to perform the primary productivity, respiration, and decomposition meta-analysis. It includes the mean, SD (or SE), and sample number of the studies included in the meta-analysis, as well as information on the paper authors, year of publication, and type of study (experimental or observational). It also includes co-variates and the author who subtracts the information from the paper.

-refMap.csv - Geographical information of the papers included in the meta-analysis.

Files

functional_resp.txt

Files (90.9 kB)

Name Size Download all
md5:51f340de4163e656d2b702ba8ddc80de
29.2 kB Preview Download
md5:902e4b06974d896c3a431c01daf3ecaf
15.3 kB Download
md5:9ce971e01b811ac681744f21ff3d1dcf
9.6 kB Preview Download
md5:3935ce2609fd9936aa9f695ad0af1bba
36.8 kB Preview Download