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The seafloor from a trait perspective. A comprehensive life history dataset of soft sediment macrozoobenthos

  • Kasper J. Meijer*
  • , Joao Bosco Gusmao
  • , Lisa Bruil
  • , Oscar Franken
  • , Ise A. Grimm
  • , Tjisse van der Heide
  • , Nadia Hijner
  • , Sander J. Holthuijsen
  • , Lisa Hübner
  • , David W. Thieltges
  • , Han Olff
  • , Britas Klemens Eriksson*
  • , Laura L. Govers*
  • *Tämän työn vastaava kirjoittaja

Tutkimustuotos: Lehtiartikkeli › Artikkeli › Tieteellinen › vertaisarvioitu

10 Sitaatiot (Scopus)
61 Lataukset (Pure)

Abstrakti

Biological trait analysis (BTA) is a valuable tool for evaluating changes in community diversity and its link to ecosystem processes as well as environmental and anthropogenic perturbations. Trait-based analytical techniques like BTA rely on standardised datasets of species traits. However, there are currently only a limited number of datasets available for marine macrobenthos that contain trait data across multiple taxonomic groups. Here, we present an open-access dataset of 16 traits for 235 macrozoobenthic species recorded throughout multiple sampling campaigns of the Dutch Wadden Sea; a dynamic soft bottom system where humans have long played a substantial role in shaping the coastal environment. The trait categories included in this dataset cover a variety of life history strategies that are tightly linked to ecosystem functioning and the resilience of communities to (anthropogenic) perturbations and can advance our understanding of environmental changes and human impacts on the functioning of soft bottom systems.

AlkuperäiskieliEnglanti
Artikkeli808
JulkaisuScientific Data
Vuosikerta10
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Rahoitus

The authors would like to thank all students and volunteers that have worked with, and contributed to, the current version of the dataset. This study was funded by Waddenfonds grant “Waddentools: habitatheterogeniteit” registered under reference number WF2018-187059. L.G. was additionally funded by NWO grant 016.Veni.181.087.

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