Meta-database
Robert Schlegel
24 February 2021
Last updated: 2021-02-24
Checks: 6 1
Knit directory: FACE-IT/
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Introduction
This document is designed to satisfy both D1.1 and D1.2 for the Horizon2020 project “FACE-IT.” The text in this document is a report on the key drivers of changes in Arctic biodiversity (D1.1). The tables contain the meta-database for the data identified as key drivers of change (D1.2). The text and meta-data from this document will be used for the completion of a review article on past and future changes of key drivers in and around the FACE-IT study sites (D1.3). We begin with a review of known drivers of change in the Arctic before focussing in on each individual FACE-IT study site to discuss any differences from the broader Arctic. Within each section a table is given that shows the meta-data for the drivers of change for the topic of that section.
Drivers of change in the European Arctic
Many physical processes are known to drive biodiversity in the Arctic. Unsurprisingly, the presence of sea ice is one of these controlling factors (Pavlova et al. (2019)). There are however many more, such as photosynthetically available radiation (PAR), ultraviolet radiation (UVR), and turbidity (Hop and Wiencke (2019)). In addition to knowing what it is that may cause changes, it is necessary to identify the fonts of biodiversity that may be affected by these drivers. There are many taxa/species etc. that have been identified as important for monitoring throughout the Arctic.
DT::datatable(metadata_EU_arctic, rownames = FALSE, filter="top", options = list(pageLength = 5, scrollX=T) )Svalbard
While not a study site itself, there are a lot of studies and data products that focuss on Svalbard broadly, rather than individual study sites within this region. Therefore this geographical region
References
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_GB.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_CA.UTF-8 LC_COLLATE=en_GB.UTF-8
[5] LC_MONETARY=en_CA.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_CA.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.17 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.4
[5] purrr_0.3.4 readr_1.4.0 tidyr_1.1.2 tibble_3.0.6
[9] ggplot2_3.3.3 tidyverse_1.3.0
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 xfun_0.21 bslib_0.2.4 haven_2.3.1
[5] colorspace_2.0-0 vctrs_0.3.6 generics_0.1.0 htmltools_0.5.1.1
[9] yaml_2.2.1 rlang_0.4.10 jquerylib_0.1.3 later_1.1.0.1
[13] pillar_1.4.7 withr_2.4.1 glue_1.4.2 DBI_1.1.1
[17] dbplyr_2.1.0 modelr_0.1.8 readxl_1.3.1 lifecycle_1.0.0
[21] munsell_0.5.0 gtable_0.3.0 workflowr_1.6.2 cellranger_1.1.0
[25] rvest_0.3.6 htmlwidgets_1.5.3 evaluate_0.14 knitr_1.31
[29] crosstalk_1.1.1 httpuv_1.5.5 broom_0.7.5 Rcpp_1.0.6
[33] promises_1.2.0.1 backports_1.2.1 scales_1.1.1 jsonlite_1.7.2
[37] fs_1.5.0 hms_1.0.0 digest_0.6.27 stringi_1.5.3
[41] rprojroot_2.0.2 grid_4.0.4 cli_2.3.0 tools_4.0.4
[45] magrittr_2.0.1 sass_0.3.1 crayon_1.4.1 whisker_0.4
[49] pkgconfig_2.0.3 ellipsis_0.3.1 xml2_1.3.2 reprex_1.0.0
[53] lubridate_1.7.9.2 rstudioapi_0.13 assertthat_0.2.1 rmarkdown_2.7
[57] httr_1.4.2 R6_2.5.0 git2r_0.28.0 compiler_4.0.4