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

doi:10.1038/s41597-023-02728-5

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^*

^*Corresponding author for this work

Environmental and Marine Biology

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

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.

Original language	English
Article number	808
Journal	Scientific Data
Volume	10
DOIs	https://doi.org/10.1038/s41597-023-02728-5
Publication status	Published - 2023
MoE publication type	A1 Journal article-refereed

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s41597-023-02728-5 (1)Licence: CC BY

https://urn.fi/URN:NBN:fi-fe202402055575

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Meijer, K. J., Gusmao, J. B., Bruil, L., Franken, O., Grimm, I. A., van der Heide, T., Hijner, N., Holthuijsen, S. J., Hübner, L., Thieltges, D. W., Olff, H., Eriksson, B. K., & Govers, L. L. (2023). The seafloor from a trait perspective. A comprehensive life history dataset of soft sediment macrozoobenthos. Scientific Data, 10, Article 808. https://doi.org/10.1038/s41597-023-02728-5

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

abstract = "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.",

author = "Meijer, {Kasper J.} and Gusmao, {Joao Bosco} and Lisa Bruil and Oscar Franken and Grimm, {Ise A.} and {van der Heide}, Tjisse and Nadia Hijner and Holthuijsen, {Sander J.} and Lisa H{\"u}bner and Thieltges, {David W.} and Han Olff and Eriksson, {Britas Klemens} and Govers, {Laura L.}",

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year = "2023",

doi = "10.1038/s41597-023-02728-5",

language = "English",

volume = "10",

journal = "Scientific Data",

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AU - Meijer, Kasper J.

AU - Gusmao, Joao Bosco

AU - Bruil, Lisa

AU - Franken, Oscar

AU - Grimm, Ise A.

AU - van der Heide, Tjisse

AU - Hijner, Nadia

AU - Holthuijsen, Sander J.

AU - Hübner, Lisa

AU - Thieltges, David W.

AU - Olff, Han

AU - Eriksson, Britas Klemens

AU - Govers, Laura L.

PY - 2023

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AB - 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.

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JF - Scientific Data

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

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