Document of dataset 8310

Dataset record

Type
Dataset
title in English
Greenland Arctic charr 2021-2022
Acronym
v2lgac
Description in English

Arctic aquatic ecosystems are highly vulnerable to anthropogenic disturbances (Becker & Pollard, 2016) and potentially to ongoing climate change (O'Neill et al., 2017). Thus, it is important to gather baseline information and monitor ecosystems throughout the Arctic region to document and determine the potential significance of observed ecological changes within these systems. Freshwater aquatic systems are often small, relatively closed and delimited and represent good opportunities to document existing ecological patterns (Wrona et al., 2013). Within these ecosystems Arctic charr (Salvelinus alpinus (L.)) are often the only fish species found  (Klemetsen, 2013) and as the top predator can provide valuable information about their status and functioning (Kristensen et al., 2006). Research on Arctic charr has traditionally covered  the major geographical areas of northern Europe, Iceland, northern Canada and the Pacific basin drainages of the Asian and  North American coasts (Knudsen et al., 2016). However, research in Greenland has been under-represented. There are some limited studies of land-locked resident Arctic charr stocks (e.g. Sparholt, 1985; Riget et al., 2000b; Jeppesen et al., 2001; Kristensen et al., 2006)  and studies of mercury levels in anadromous stocks (e.g. Riget et al., 2000a). Yet Greenland is one of the Arctic regions most likely to be heavily affected by climate change and other anthropogenic activities (IPCC, 2014). A recent study from three watercourses in South-western Greenland (Davidsen et al., 2020) suggested that the three populations of Arctic charr all consisted of a mixture of trophic groups, one group that specialise within the marine habitat, the estuarine group that may have short-time marine migrations, in addition to two morphs from the freshwater habitats. However, there were no available data of the behavioural differences or temperature preferences between the morphs or about the duration of the marine migration or distance travelled away from the home watercourse. To address these knowledge gaps, we will combine acoustic telemetry and genomics to quantify variation in temperature preferences and movement behaviour, and the extent of marine habitat use of anadromous Arctic Charr. This project will to our knowledge be the first one using acoustic telemetry in Greenland.

Abstract in English

To address knowledge gaps on behavioral differences or temperature preferences between the morphs or about the duration of the marine migration or distance traveled away from the home watercourse, we will combine acoustic telemetry and genomics to quantify variation in temperature preferences and movement behaviour, and the extent of marine habitat use of anadromous Arctic Charr. This project will to our knowledge be the first one using acoustic telemetry in Greenland.

Contactpoint
Email
jan.davidsen@ntnu.no
Rights
This work is licensed under http://vocab.nerc.ac.uk/collection/L08/current/MO meaning it is under moratorium until 2026-08-01
bibliographicCitation
Davidsen, NTNU, 2022, Greenland Arctic charr 2021-2022

Temporal coverage

Temporal
Start date
2021-08-01
End date
2022-09-15

Geographical coverage

Spatial

Thesaurus terms

Keyword
Acoustic data
Acoustic detection
Acoustic devices
Acoustic emission
Acoustic telemetry
Acoustic Telemetry
Anadromous migrations
Animal migrations
Anthropogenic disturbance
Anthropogenic effects
Anthropogenic impacts
Biotelemetry
Climate change
Climate change effects
Climate Change General
Fish migration
Genomics
Global climate change
Marine biotelemetry
Marine Genomics
Migrations

Themes

theme
Biology
Biology > Acoustics
Biology > Ecology - biodiversity
Biology > Fish

Taxonomic terms

Taxon keywords
Salmonidae
Salvelinus alpinus (Linneaus, 1758)

Ownerships

contactPoint
Jan Grimsrud Davidsen
contactPoint
Norwegian University of Science and Technology
creator
Jan Grimsrud Davidsen
creator
Norwegian University of Science and Technology
creator
Norwegian University of Science and Technology

Dataset references

is part of
European Tracking Network (ETN) data

Special collections

part of special collection
European Tracking Network

Document metadata

date created
2023-05-08
date modified
2025-07-22