Here we provide the analysis of the environmental impact of a “run-of-river” hydropower plant on the riverine ecosystem of the Saldur stream, a glacier-fed stream located in the Italian Central-Eastern Alps.
This analysis is associated with the paper: Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 1: effects on community structure.
The original data are hosted by “PANGAEA - Data Publisher for Earth & Environmental Science”. The data repository is located here.
From this original file we derived all the data files included and stored in our GitHub repository in the data folder, which were used for the analyses mentioned below.
The analysis of similarities, spatial and temporal beta-diversity calculations, and indicator taxa analysis are presented in the script analysis/anosim_beta_multipatt.R.
Below you find HTML reports for the Before-After-Control-Impact (BACI) analysis using the GLMM framework for the following variables:
Information About the Current R Session at the time of running the BACI analysis:
> sessionInfo()
R version 4.0.4 (2021-02-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.2 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=de_DE.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=de_DE.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=de_DE.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] directlabels_2021.1.13 ggplot2_3.3.3 magrittr_2.0.1 data.table_1.13.6 DHARMa_0.3.3.0 lsmeans_2.30-0
[7] emmeans_1.5.4 AICcmodavg_2.3-1 glmmTMB_1.0.2.1
loaded via a namespace (and not attached):
[1] Rcpp_1.0.6 mvtnorm_1.1-1 lattice_0.20-41 zoo_1.8-8 assertthat_0.2.1 digest_0.6.27 unmarked_1.0.1
[8] foreach_1.5.1 R6_2.5.0 plyr_1.8.6 stats4_4.0.4 evaluate_0.14 coda_0.19-4 pillar_1.4.7
[15] rlang_0.4.10 multcomp_1.4-16 minqa_1.2.4 raster_3.4-5 nloptr_1.2.2.2 Matrix_1.3-2 rmarkdown_2.7
[22] splines_4.0.4 lme4_1.1-26 statmod_1.4.35 TMB_1.7.19 munsell_0.5.0 compiler_4.0.4 xfun_0.21
[29] pkgconfig_2.0.3 htmltools_0.5.1.1 tidyselect_1.1.0 tibble_3.0.6 quadprog_1.5-8 codetools_0.2-18 crayon_1.4.1
[36] dplyr_1.0.4 withr_2.4.1 MASS_7.3-53.1 grid_4.0.4 nlme_3.1-152 xtable_1.8-4 gtable_0.3.0
[43] lifecycle_1.0.0 DBI_1.1.1 scales_1.1.1 estimability_1.3 sp_1.4-5 ellipsis_0.3.1 vctrs_0.3.6
[50] generics_0.1.0 boot_1.3-27 sandwich_3.0-0 TH.data_1.0-10 iterators_1.0.13 tools_4.0.4 glue_1.4.2
[57] purrr_0.3.4 survival_3.2-7 yaml_2.2.1 colorspace_2.0-0 VGAM_1.1-5 knitr_1.31