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      Biological traits of marine benthic invertebrates in Northwest Europe

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          Abstract

          Biological traits analysis (BTA) provides insight into causes and consequences of biodiversity change that cannot be achieved using traditional taxonomic approaches. However, acquiring information on biological traits (i.e., the behavioural, morphological, and reproductive characteristics of taxa) can be extremely time-consuming, especially for large community datasets, thus hindering the successful application of BTA. Here, we present information on ten key biological traits for over a thousand marine benthic invertebrate taxa surveyed in Northwest Europe (mainly the UK shelf). Scores of 0 to 3 are provided to indicate our confidence that taxa exhibit each possible mode of trait expression. The information was acquired over a decade through an extensive appraisal of relevant sources, including peer-reviewed papers, books, online material and, where necessary, professional judgement. These data may be inspected, used, and augmented by fellow researchers, thus assisting in the wider application of BTA in marine benthic ecology.

          Abstract

          Measurement(s) body size • body morphology • lifespan • egg development location • larva development location • living habit • sediment position • feeding mode • mobility • bioturbation mode
          Technology Type(s) literature review • professional judgement
          Sample Characteristic - Organism benthic invertebrates
          Sample Characteristic - Environment marine environment
          Sample Characteristic - Location Northwest Europe

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          Most cited references317

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          Let the concept of trait be functional!

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            A functional approach reveals community responses to disturbances.

            Understanding the processes shaping biological communities under multiple disturbances is a core challenge in ecology and conservation science. Traditionally, ecologists have explored linkages between the severity and type of disturbance and the taxonomic structure of communities. Recent advances in the application of species traits, to assess the functional structure of communities, have provided an alternative approach that responds rapidly and consistently across taxa and ecosystems to multiple disturbances. Importantly, trait-based metrics may provide advanced warning of disturbance to ecosystems because they do not need species loss to be reactive. Here, we synthesize empirical evidence and present a theoretical framework, based on species positions in a functional space, as a tool to reveal the complex nature of change in disturbed ecosystems. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              REPRODUCTIVE and LARVAL ECOLOGY OF MARINE BOTTOM INVERTEBRATES

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                Author and article information

                Contributors
                david.clare@cefas.co.uk
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                15 June 2022
                15 June 2022
                2022
                : 9
                : 339
                Affiliations
                GRID grid.14332.37, ISNI 0000 0001 0746 0155, Centre for Environment, Fisheries and Aquaculture Science, ; Pakefield Road, Lowestoft, UK
                Author information
                http://orcid.org/0000-0003-3586-6472
                http://orcid.org/0000-0002-7455-1441
                Article
                1442
                10.1038/s41597-022-01442-y
                9200785
                35705559
                9af5c689-155d-4f41-8b93-7ab4d2b6ef7f
                © Crown 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 16 November 2021
                : 1 June 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100012534, Centre for Environment, Fisheries and Aquaculture Science (Cefas);
                Categories
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                © The Author(s) 2022

                community ecology,biodiversity
                community ecology, biodiversity

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