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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
Data sources: ZENODO
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Data and code for the paper: Trait-based responses to forestry and grazing modify long-term changes in biodiversity hot-spots of boreal forests

Authors: Konsta Happonen; Lauralotta Muurinen; Risto Virtanen; Eero Kaakinen; Philippe Parisot; Matias Wolff; Tuija Maliniemi;

Data and code for the paper: Trait-based responses to forestry and grazing modify long-term changes in biodiversity hot-spots of boreal forests

Abstract

Data and code for the paper "Trait-based responses to forestry and grazing modify long-term changes in biodiversity hot-spots of boreal forests" See the preprint. The script src/analyysit.R can be used to reproduce all modelling results of the paper. Among other variables, this repository contains ready-calculated community characteristics (results/clean_data/data_for_analyses/kaik.csv: species richness, Shannon diversity, species evenness, height, LDMC, SLA) and their temporal changes along with temporal Jaccard distance between 1968–1975 and 2013–2019 (results/clean_data/data_for_analyses/erot.csv) for 245 5 m x 5 m plots of field-layer vegetation. Information is also included on tree-layer SLA and canopy cover for 10 m x 10 m plots directly above them. Each plot is classified as being either inside or outside the reindeer herding area, and belonging to one of four levels of management intensity. For more information, see the paper. This repository does not contain information on reindeer densities, which we do not have permission to publish. Furhermore, community data are not included, but are available from the authors upon request. Community data will be submitted to an open repository at a later date. Original trait data are from TRY and LEDA, supplemented with our own measurements. Climate data are from TerraClimate. ## References Abatzoglou, John T., Solomon Z. Dobrowski, Sean A. Parks, and Katherine C. Hegewisch. 2018. “TerraClimate, a High-Resolution Global Dataset of Monthly Climate and Climatic Water Balance from 1958-2015.” Scientific Data 5 (January): 170191. Kattge, Jens, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch, E. Garnier, et al. 2011. “TRY - a Global Database of Plant Traits.” Global Change Biology 17 (9): 2905–35. Kleyer, M., R. M. Bekker, I. C. Knevel, J. P. Bakker, K. Thompson, M. Sonnenschein, P. Poschlod, et al. 2008. “The LEDA Traitbase: A Database of Life-History Traits of the Northwest European Flora.” The Journal of Ecology 96 (6): 1266–74. ## Session Info The results were reproducible under this setup: R version 3.6.2 (2019-12-12) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 19.10 Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.8.0 LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.8.0 locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=fi_FI.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=fi_FI.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=fi_FI.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=fi_FI.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] grid stats graphics grDevices utils datasets methods base other attached packages: [1] gridExtra_2.3 cowplot_1.0.0 scales_1.1.0 kableExtra_1.1.0 ggthemes_4.2.0 tidybayes_2.0.1 [7] rgdal_1.4-8 sp_1.3-2 broom_0.5.3 brms_2.10.0 Rcpp_1.0.3 gratia_0.2-8 [13] mgcv_1.8-31 nlme_3.1-143 vegan_2.5-6 lattice_0.20-38 permute_0.9-5 forcats_0.4.0 [19] stringr_1.4.0 dplyr_0.8.3 purrr_0.3.3 readr_1.3.1 tidyr_1.0.0 tibble_2.1.3 [25] ggplot2_3.2.1 tidyverse_1.3.0 loaded via a namespace (and not attached): [1] colorspace_1.4-1 ellipsis_0.3.0 ggridges_0.5.1 rsconnect_0.8.16 [5] markdown_1.1 base64enc_0.1-3 fs_1.3.1 rstudioapi_0.10 [9] farver_2.0.1 rstan_2.19.2 svUnit_0.7-12 DT_0.11 [13] fansi_0.4.1 mvtnorm_1.0-12 lubridate_1.7.4 xml2_1.2.2 [17] bridgesampling_0.7-2 splines_3.6.2 knitr_1.26 shinythemes_1.1.2 [21] zeallot_0.1.0 bayesplot_1.7.1 jsonlite_1.6 cluster_2.1.0 [25] dbplyr_1.4.2 shiny_1.4.0 compiler_3.6.2 httr_1.4.1 [29] backports_1.1.5 assertthat_0.2.1 Matrix_1.2-18 fastmap_1.0.1 [33] lazyeval_0.2.2 cli_2.0.1 later_1.0.0 htmltools_0.4.0 [37] prettyunits_1.1.0 tools_3.6.2 igraph_1.2.4.2 coda_0.19-3 [41] gtable_0.3.0 glue_1.3.1 reshape2_1.4.3 cellranger_1.1.0 [45] vctrs_0.2.1 crosstalk_1.0.0 xfun_0.11 ps_1.3.0 [49] rvest_0.3.5 mime_0.8 miniUI_0.1.1.1 lifecycle_0.1.0 [53] gtools_3.8.1 MASS_7.3-51.5 zoo_1.8-7 colourpicker_1.0 [57] hms_0.5.3 promises_1.1.0 Brobdingnag_1.2-6 parallel_3.6.2 [61] inline_0.3.15 shinystan_2.5.0 loo_2.2.0 StanHeaders_2.19.0 [65] stringi_1.4.5 dygraphs_1.1.1.6 boot_1.3-24 pkgbuild_1.0.6 [69] rlang_0.4.2 pkgconfig_2.0.3 matrixStats_0.55.0 evaluate_0.14 [73] labeling_0.3 rstantools_2.0.0 htmlwidgets_1.5.1 tidyselect_0.2.5 [77] processx_3.4.1 plyr_1.8.5 magrittr_1.5 R6_2.4.1 [81] generics_0.0.2 DBI_1.1.0 pillar_1.4.3 haven_2.2.0 [85] withr_2.1.2 xts_0.11-2 abind_1.4-5 modelr_0.1.5 [89] crayon_1.3.4 arrayhelpers_1.0-20160527 utf8_1.1.4 rmarkdown_2.0 [93] readxl_1.3.1 callr_3.4.0 threejs_0.3.1 webshot_0.5.2 [97] reprex_0.3.0 digest_0.6.23 xtable_1.8-4 httpuv_1.5.2 [101] stats4_3.6.2 munsell_0.5.0 viridisLite_0.3.0 shinyjs_1.0

Related Organizations
Keywords

Vegetation resurvey, Ungulate grazers, Forest management, Large herbivores, Community composition, Temporal change, Functional traits, Diversity-productivity relationship, Species diversity

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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