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This R pipeline processes the data for the Beaufort Sea Species and Beaufort Sea Timeline visualizations for the Beaufort Sea project. It also generates the charts for the Beaufort Sea Species visualization. The pipeline can be run in R with `targets::tar_make()`
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Your name: Althea Archer
Your project: Beaufort Sea
Image:
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Caption with key message communicated by this viz :
1. 2000 years ago, the system was dominated by Paracyprideis, Cassidulina and Elphidium species.
2. The first 1000 years demonstrated relative stability
3. Then, from 1000-1300, agglutinated species Spiroplectammina became more abundant as a result of the climate instability during the Medieval Climate Anomaly
4. During the Little Ice Age, Paracyprideis declined to its lowest levels in the record
5. In the modern record, Spiroplectammina and Kotoracythere are at all-time highs, and the previously dominant Elphidium and Cassidulina are sparser
Your data sources:
Sciencebase:
> Gemery, L., 2021, Data Release to Multi-proxy record of ocean-climate variability during the last 2 millennia on the Mackenzie Shelf, Beaufort Sea (2013): U.S. Geological Survey data release, https://doi.org/10.5066/P9SRRW6T.
Original manuscript:
> Gemery, L., Cronin, T.M., Cooper, L.W., Roberts, L.R., Keigwin, L.D., Addison, J.A., Leng, M.J., Lin, P., Magen, C., Marot, M.E., and Schwartz, V., 2023, Multi-proxy record of ocean-climate variability during the last two millennia on the Mackenzie Shelf, Beaufort Sea: Micropaleontology, v. 69, no. 3, p. 345–360, https://doi.org/10.47894/mpal.69.3.04.
Foram data:
> Seidenstein, J.L., Cronin, T.M., Gemery, L. et al. Late Holocene paleoceanography in the Chukchi and Beaufort Seas, Arctic Ocean, based on benthic foraminifera and ostracodes. Arktos 4, 1–17 (2018). https://doi.org/10.1007/s41063-018-0058-7
Overall method to create this viz:
1. Create an RStudio project in the `beaufortSea` folder
2. Download data sources and store them in the `beaufortSea/in` folder
3. Run `targets::tar_make()` to create the visualization
This R pipeline processes the data for the Wildfire Aerosols visualization for the Fire in Ice project. The pipeline can be run in R with `targets::tar_make()`
This R pipeline processes the data for visualizations associated with the Fish as Food project. The pipeline can be run in R with `targets::tar_make()`
