Anti Sykkö’s scientific contributions

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Publications (1)


Figure 1: Updated stepwise flowchart of the newly developed fleet segmenta�on approach.
Figure 1: The length of ships in Finnish fleet in 2020 in two gear classes -Passive Gears (PG) and Pelagic Trawlers (TM).
Figure 3: Clustering dendogram with range-method for pelagic trawlers
Figure 5: Stockshare plot of TM catch data (n=43)
Figure 6: Assemblageshares plot of TM catch data (n=43)

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Report of the second workshop on an alternative approach to the segmentation of fishing fleets
  • Technical Report
  • Full-text available

July 2022

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216 Reads

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3 Citations

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Jörg Berkenhagen

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Anti Sykkö

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[...]

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Suzana Faria Cano

Our second workshop on a newly developed, alternative approach to the segmentation of fishing fleets was held from 28th to 30th of March 2022. Due to travel restrictions caused by the global Covid-19 pandemic, the workshop took place online. Cisco Webex provided the online platform. The workshop was hosted by the Thünen Institute for Sea, Fisheries, part of the Johann Heinrich von Thünen Institute, Germany's Federal Research Insitute for rural areas, forestry, and fisheries. Thirty-seven experts representing 16 nations, the ICES, and DG MARE, participated in the workshop. Fifteen national fisheries data sets were analyzed. A new approach to the segmentation of fishing fleets was developed in a DCF pilot project at the Thünen Institute of Sea Fisheries and transferred to an R package, referred to as "FS-package" in the following. In March 2021, the first workshop on the novel approach and the FS-package was held with 34 experts representing 15 nations, and major progress in improving the package was made. After implementing the suggestions made by the attendants of the first workshop and identifying the next urgent steps for further developing the novel approach, the creators of the approach organized a second workshop.

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Citations (1)


... Clustering of catch data : To arrive at a set of métiers for the Icelandic fleet, we performed a clustering analysis on the described data using the clustering methods of Sulanke and Berkenhagen ( 2022 ) to identify métiers (Baranowska et al. 2024 ). However, our methods deviate slightly from previously published methods by using Ward's method for hierarchical clustering (Ward 1963 ) and an Euclidean distance matrix. ...

Reference:

Ecological and economic predictors of métiers in a mixed fishery
Report of the second workshop on an alternative approach to the segmentation of fishing fleets