Published November 14, 2021 | Version Version 2021.11
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Interactive key for the identification of species from the genus Haploniscus (Isopoda) distributed around Iceland

  • 1. University of Hamburg, Hamburg, Germany
  • 2. Department of Invertebrate Zoology and Hydrobiology, Faculty of Biology and Environmental Protection, University of Łódź, Łódź, Poland
  • 3. Institute for Hydrobiology and Fisheries Science, Center for Earth System Research and Sustainability (CEN) University of Hamburg, Hamburg, Germany
  • 4. Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, Berlin, Germany
  • 5. German Centre for Marine Biodiversity Research (DZMB), Senckenberg am Meer, Wilhelmshaven, Germany
  • 6. German Centre for Marine Biodiversity Research (DZMB), Senckenberg am Meer, ℅ Biocenter Grindel, Hamburg, Germany

Description

This repository contains an interactive key that can be used to identify the described species of the genus Haploniscus that are found around Iceland. The key can be used to differentiate between the following species:

  • Haploniscus aduncus Lincoln, 1985
  • Haploniscus ampliatus Lincoln, 1985
  • Haploniscus angustus Lincoln, 1985
  • Haploniscus astraphes Brökeland & Svavarsson, 2017
  • Haploniscus bicuspis (G. O. Sars, 1877)
  • Haploniscus borealis Lincoln, 1985
  • Haploniscus foresti Chardy, 1974
  • Haploniscus hamatus Lincoln, 1985
  • Haploniscus spinifer Hansen, 1916
  • Haploniscus sp. A

The interactive key contains digital drawings of habitus and distinguishing characters. In addition, it also includes geological distribution maps, depth distribution diagrams and species distribution models (where available). This interactive key can be displayed by using the software Intkey, which is also contained in this repository (following the conditions of use).

The interactive species identification key was produced by comparing species descriptions (Brökeland and Svavarsson, 2017; Brökeland and Wägele, 2004; Chardy, 1974; Hansen, 1916; Lincoln, 1985; Menzies, 1962), and digitally illustrating based off and modified after previous drawings. Geographical maps were created using QGIS (QGIS Development Team, 2020) and depth analyses was conducted with Excel (Microsoft Corporation, 2021). Species distribution models were created utilizing “R” (R Core Team, 2020) as well as QGIS QGIS Development Team, 2020).

The final key was produced using DELTA (Dallwitz, 1995; Dallwitz et al., 2000; Dallwitz, 1974, 1980; Dallwitz et al., 1993) and IntKey (Dallwitz, 1995; Dallwitz et al., 2000; Dallwitz, 1974, 1980; Dallwitz et al., 1993). As an interactive key it allows for easy identification based on morphological characters.

 

Data Format

This repository contains one file and one folder:

  • start.bat – a batch file which loads the interactive key into the IntKey viewing software, and opens the software to view the key.
  • int – a folder containing the illustrations, distinguishing characters and habitus required for the key. In addition, it encompasses species distribution maps, a depth analyses diagram, and species distribution models (where available). Lastly, it contains the necessary files to run the IntKey software.

Please note that this software requires Windows 2000 or later; unfortunately, it is not possible to run on other operating systems.

 

How to Use

To display and use the interactive key from the downloaded repository, run the start.bat file. IntKey will open and the identification process can be started. To start the process based on morphological characters, select the item on the list below “Best Characters” within the upper left section of the program window. A pop-up will appear, providing drawings, that can be selected to eliminate taxa and enable identification. For an overview of specific species and their additional information such as geographical maps, these can be selected from the upper right section of the main window. For more detailed descriptions on how to use the program, please see https://www.delta-intkey.com/www/uguide.htm.

Files

species_haploniscus_new.zip

Files (22.6 MB)

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Additional details

References

  • Brökeland, W., & Svavarsson, J. (2017). Distribution of haploniscids (Isopoda, Asellota, Haploniscidae) in Icelandic waters, with description of Haploniscus astraphes n. sp. from the Iceland basin and the Southeast Atlantic Ocean. Zootaxa, 4231(3), 301-326. doi:10.11646/zootaxa.4231.3.1
  • Brökeland, W., & Wägele, J.-W. (2004). Redescription of three species of Haploniscus Richardson, 1908 (Isopoda, Asellota, Haploniscidae) from the Angola Basin. Organisms Diversity and Evolution, 4(4), 237. doi:10.1016/j.ode.2004.02.004
  • Chardy, P. (1974). Les Haploniscidae (Crustacés Isopodes Asellotes) de l'Atlantique. Description de huit espèces nouvelles. Bulletin du Museum National d'Histoire Naturelle, 3(243), 1137-1166.
  • Dallwitz, M. (1995). User's guide to Intkey: a program for interactive identification and information retrieval. http://delta-intkey. com.
  • Dallwitz, M., Paine, T., & Zurcher, E. (2000). onwards. Principles of interactive keys. Website http://delta-intkey. com/www/interactivekeys. htm
  • Dallwitz, M. J. (1974). A flexible computer program for generating identification keys. Systematic biology, 23(1), 50-57. doi:10.1093/sysbio/23.1.50
  • Dallwitz, M. J. (1980). A general system for coding taxonomic descriptions. Taxon, 29(1), 41-46. doi:10.2307/1219595
  • Dallwitz, M. J., Paine, T. A., & Zurcher, E. (1993). User's guide to the DELTA system: a general system for processing taxonomic descriptions: CSIRO Division of Entomology.
  • Hansen, H. J. (1916). Crustacea Malacostraca, III. V. The order Isopoda. The Danish Ingolf–Expedition, 3, 1- 262.
  • Lincoln, R. (1985). Deep-sea asellote isopods of the north-east Atlantic: the family Haploniscidae. Journal of Natural History, 19(4), 655-695. doi:10.1080/00222938500770411
  • Menzies, R. J. (1962). The Isopods of abyssal depths in the Atlantic Ocean: Columbia University Press.
  • Microsoft Corporation. (2021). Microsoft Excel. Retrieved from https://office.microsoft.com/excel
  • QGIS Development Team. (2020). QGIS Geographic Information System (Version 3.4.7-Madeira ): Open Source Geospatial Foundation Project. Retrieved from http://qgis.osgeo.org
  • R Core Team. (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.r-project.org/