2023
DOI: 10.1038/s41597-023-02728-5
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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
et al.

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 … Show more

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“…The species-specific affinities to all modalities were fuzzy coded within a range from 0 to 3 (0= no affinity, 1= low affinity, 2= moderate affinity and 3= high association of taxon with the trait category). The fuzzy-coded trait values were extracted from two macrozoobenthic biological trait databases (Gusmao et al, 2022;Meijer et al, 2023). To standardize the data between traits with different numbers of modalities, we divided the individual modalities by the total number of modalities of the corresponding trait (see Henseler et al, 2019).…”
Section: Macrozoobenthos Traitsmentioning
confidence: 99%
“…The species-specific affinities to all modalities were fuzzy coded within a range from 0 to 3 (0= no affinity, 1= low affinity, 2= moderate affinity and 3= high association of taxon with the trait category). The fuzzy-coded trait values were extracted from two macrozoobenthic biological trait databases (Gusmao et al, 2022;Meijer et al, 2023). To standardize the data between traits with different numbers of modalities, we divided the individual modalities by the total number of modalities of the corresponding trait (see Henseler et al, 2019).…”
Section: Macrozoobenthos Traitsmentioning
confidence: 99%