Last updated: 2021-09-28

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[Guiding structure not to be included in final presentation]
“WP reports: What has the WP as a whole done in the last year? How is the workflow going? How is interaction with other working? What were the issues? Next steps?”

Structure


  • WP Lead: Jean-Pierre Gattuso


  • Data Scientist: Robert Schlegel


Key drivers (D1.1: 6 months)


Table 1: The key drivers of changes on Arctic fjord and adjacent coastal systems as identified by the experts in FACE-IT for the relevant fields. The drivers have been separated into the following categories for convenience: Cryosphere, Physical, Chemistry, Biology, Social. Full list available via ‘Key drivers’ tab above.
Category Drivers
Cryosphere Coastal ice, fast ice, glacier, permafrost, sea ice, snow cover
Physical Bathymetry, current, evaporation, heatflux, Kd, MLD, precipitation, river discharge, salinity, SLP, air/sea temperature, sedimentation rate, suspended matter, wind
Physical Calcium carbonate (CaCO3), DIC, DOC, DON, O2, nutrients, pCO2, pH, total alkalinity
Biology Calcification, nitrogen fixation, photosynthesis, primary production, respiration, species presence/abundance
Social Fish/game landings, local and national resource management, national statistics, tourist arrivals/vessels


Meta-database (D1.2: 12 months)



Other deliverables



Cross-package interactions


  • Ny-Ålesund, Kongsfjorden, Svalbard (July - August, 2021)
    • Participated in fieldwork for WP3
    • Worked adjacent to WP2
  • Data collections efforts

Effective coordination of data collection

  • Who is responsible for what?
  • Who has other people working with data collection?
  • WP1 is of service to everybody, but we can’t provide this service without replies to our inquiries


Data issues


  • What to do with complex data types
    • e.g. Seabird database and geospatial glacier fronts

Inglefieldbukta

  • Is the current Inglefieldbukta bounding box to small?
  • What is the scientific justification of choosing a much larger semi-open fjord?
  • Current area (figure)
  • Potential expanded area (figure)

Social data

  • [List the social science data that have been identified]
  • What other sources may there be for FACE-IT sites?
    • Including Greenland
  • What sort of non-social data do social scientists want?


What’s next?


  • Review article (D1.3: 24 months)
    • Intended as broad overview of drivers of change in FACE-IT study sites
    • Will require expertise from many FACE-IT researchers
    • WP1 will reach out to site coordinators as fist step in collaborative process


Summary


  • Who has use for the collected data?
    • How would they like to access them?
    • What format(s) is most useful?
    • Who has there own data collection efforts?
  • What shall be done about Inglefieldbukta site?
  • How shall we begin to merge the data needs of scoial science?

R version 4.1.1 (2021-08-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.6 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=fr_FR.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=fr_FR.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=fr_FR.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] DT_0.18          kableExtra_1.3.4 forcats_0.5.1    stringr_1.4.0   
 [5] dplyr_1.0.6      purrr_0.3.4      readr_1.4.0      tidyr_1.1.3     
 [9] tibble_3.1.2     ggplot2_3.3.3    tidyverse_1.3.1  workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.6        svglite_2.0.0     lubridate_1.7.10  assertthat_0.2.1 
 [5] rprojroot_2.0.2   digest_0.6.27     utf8_1.2.1        R6_2.5.0         
 [9] cellranger_1.1.0  backports_1.2.1   reprex_2.0.0      evaluate_0.14    
[13] highr_0.9         httr_1.4.2        pillar_1.6.1      rlang_0.4.11     
[17] readxl_1.3.1      rstudioapi_0.13   whisker_0.4       jquerylib_0.1.4  
[21] rmarkdown_2.8     webshot_0.5.2     htmlwidgets_1.5.3 munsell_0.5.0    
[25] broom_0.7.7       compiler_4.1.1    httpuv_1.6.1      modelr_0.1.8     
[29] xfun_0.23         pkgconfig_2.0.3   systemfonts_1.0.2 htmltools_0.5.1.1
[33] tidyselect_1.1.1  viridisLite_0.4.0 fansi_0.5.0       crayon_1.4.1     
[37] dbplyr_2.1.1      withr_2.4.2       later_1.2.0       grid_4.1.1       
[41] jsonlite_1.7.2    gtable_0.3.0      lifecycle_1.0.0   DBI_1.1.1        
[45] git2r_0.28.0      magrittr_2.0.1    scales_1.1.1      cli_2.5.0        
[49] stringi_1.6.2     fs_1.5.0          promises_1.2.0.1  xml2_1.3.2       
[53] bslib_0.2.5.1     ellipsis_0.3.2    generics_0.1.0    vctrs_0.3.8      
[57] tools_4.1.1       glue_1.4.2        crosstalk_1.1.1   hms_1.1.0        
[61] yaml_2.2.1        colorspace_2.0-1  rvest_1.0.0       knitr_1.33       
[65] haven_2.4.1       sass_0.4.0