Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Juma, Gabriel Akoko; Weber, Caroline; Meunier, Cédric Léo; Boersma, Maarten: Planktonic biomass and abundance during Canadian Arctic expedition in summer 2022 and 2023 counted using microscopy [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.994159 (dataset in review)

ShareShow MapGoogle Earth

Abstract:
The Yukon Coast Land Expedition was conducted in July 2022 and 2023 along an active retrogressive thaw slump; active-slump (AS), and a non-slump (NS) transect up to 2000 m from the shore, near Herschel Island-Qikiqtaruk on the Yukon Coast, Northwest Canadian Arctic. The aim was to investigate the effects of terrestrial matter input on community composition and biomass of phytoplankton, bacteria, and microzooplankton, as well as the abundance of mesozooplankton in the nearshore zone. Environmental parameters including water temperature, and salinity, were measured in the water column using handheld deployable CTD while turbidity was measured using Turbidity 2100Q. Water samples were taken from the upper 50 cm using a USB 50050 water sampler for nutrients and carbon concentrations as well as planktonic community analysis.
Keyword(s):
Arctic Ocean; Bacteria; environmental conditions; mesozooplankton; microzooplankton; Nearshore zone; Permafrost coasts; Phytoplankton biomass
Funding:
Horizon 2020 (H2020), grant/award no. 773421: NUNATARYUK, Permafrost thaw and the changing Arctic coast, science for socioeconomic adaptation
Coverage:
Median Latitude: 69.561421 * Median Longitude: -138.920315 * South-bound Latitude: 69.553271 * West-bound Longitude: -139.009000 * North-bound Latitude: 69.569000 * East-bound Longitude: -138.875015
Date/Time Start: 2022-07-19T00:00:00 * Date/Time End: 2023-07-22T00:00:00
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Size:
3 datasets

Download Data (login required; moratorium until 2026-09-27)

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding: