Last updated: 2021-12-01

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Structure

  • Lead: Jean-Pierre Gattuso

  • Data Scientist: Robert Schlegel
  • Identify and analyse major drivers of change for fjord and adjacent socioecological systems
  • Coolect, manage, and disseminate data and analyses both within and outside the consortium
  • Key drivers identified in WP1 form the operative base for all WPs


Deliverables

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 issues

Complex data

  • What to do with complex data types?
    • e.g. Seabird (animal) database and geospatial data like glacier fronts
  • Who are the contacts in each WP with an opinion on this issue?

Effective data collection and dissemination

  • Who has other people working with data collection/production?
  • WP1 is tasked with archiving the FACE-IT data on PANGAEA
  • WP1 is of service to all of FACE-IT but we need to be informed
  • Ensure that Milestones are being reached

Inglefieldbukta

  • Expand the small study area of Inglefieldbukta to the much larger semi-open fjord of Storfjorden
  • WP1 has no issues with this, are there any objections?


What’s next?

  • Review article: Drivers of change in FACE-IT study sites (D1.3: 24 months)
  • Follow up meeting with site and social science coordinators


Summary

  • Who has use for the data collected and processed by WP1?
    • How would they like to access them?
    • What format(s) is most useful? (e.g. .csv, .Rdata, .nc)
    • Who has their own data collection efforts? 

R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.3 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_0.19          kableExtra_1.3.4 forcats_0.5.1    stringr_1.4.0   
 [5] dplyr_1.0.7      purrr_0.3.4      readr_2.0.1      tidyr_1.1.3     
 [9] tibble_3.1.4     ggplot2_3.3.5    tidyverse_1.3.1  workflowr_1.6.2 

loaded via a namespace (and not attached):
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[13] highr_0.9         httr_1.4.2        pillar_1.6.2      rlang_0.4.11     
[17] readxl_1.3.1      rstudioapi_0.13   whisker_0.4       jquerylib_0.1.4  
[21] rmarkdown_2.11    webshot_0.5.2     htmlwidgets_1.5.4 munsell_0.5.0    
[25] broom_0.7.9       compiler_4.1.2    httpuv_1.6.3      modelr_0.1.8     
[29] xfun_0.26         systemfonts_1.0.2 pkgconfig_2.0.3   htmltools_0.5.2  
[33] tidyselect_1.1.1  viridisLite_0.4.0 fansi_0.5.0       crayon_1.4.1     
[37] tzdb_0.1.2        dbplyr_2.1.1      withr_2.4.2       later_1.3.0      
[41] grid_4.1.2        jsonlite_1.7.2    gtable_0.3.0      lifecycle_1.0.0  
[45] DBI_1.1.1         git2r_0.28.0      magrittr_2.0.1    scales_1.1.1     
[49] cli_3.0.1         stringi_1.7.4     fs_1.5.0          promises_1.2.0.1 
[53] xml2_1.3.2        bslib_0.3.0       ellipsis_0.3.2    generics_0.1.0   
[57] vctrs_0.3.8       tools_4.1.2       glue_1.4.2        crosstalk_1.1.1  
[61] hms_1.1.0         fastmap_1.1.0     yaml_2.2.1        colorspace_2.0-2 
[65] rvest_1.0.1       knitr_1.34        haven_2.4.3       sass_0.4.0