MacFish: Finescale multispecies telemetry on Lakes Most and Milada in 2015-2016
Citation
Riha, Milan (2016): Finescale multispecies telemetry on Lakes Most and Milada in 2015-2016. https://marineinfo.org/id/dataset/6288
Contact:
Riha, Milan Availability: Unknown
The correct value is not known to and not computable by the creator of this information. However a correct value probably exists Description
Submerged macrophytes play an important role beyond that of primary production, as they provide increased structural complexity and niche potentials for fish. However, most of the scientific attention on habitat use in fish and the influence of macrophytes have been given to small and shallow lakes, where the vegetated areas are well-developed and the availability of a large deep water refugium is absent or limited. Our goal was to gain a detailed understanding of the structuring effect the submerged macrophytes have on fish communities in deep lakes. In order to achieve this, we contrasted two newly formed deep lakes of similar size and colonization history, but one with and the other without submerged macrophytes. We used the latest developments in high-resolution positioning telemetry to assess individual habitat use and activity patterns in the different species of the multispecies assemblages in the two lakes – Lake Most and Lake Milada. Scope Themes: Biology > Fish, Fisheries > Fish stocks/catches/taggings Keywords: Marine/Coastal, Fresh water, Brackish water, Acoustic telemetry, Acoustic Telemetry, Tracking, Esox lucius Linnaeus, 1758, Perca fluviatilis Linnaeus, 1758, Pisces, Rutilus rutilus (Linnaeus, 1758), Scardinius erythrophthalmus (Linnaeus, 1758), Silurus glanis Linnaeus, 1758, Tinca tinca (Linnaeus, 1758) Temporal coverage
6 May 2015 - 4 April 2016 Quasi continuous (< 1 min.) Taxonomic coverage
Contributors
Academy of Sciences of the Czech Republic; Biology Centre CAS; Institute of Hydrobiology, more, data creator
Related datasets
Parent dataset: European Tracking Network (ETN) data, more
URLs
Other: Dataset status: Completed
Data type: Data
Data origin: Research: field survey
Metadatarecord created: 2019-05-16
Information last updated: 2023-05-22
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