A trait database for marine copepods

Brun, Philipp; Payne, Mark; Kiørboe, Thomas

doi:10.5194/essd-9-99-2017

Cited by 92 publications

(92 citation statements)

References 30 publications

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“…The traits selected to characterize the changes in the fish community were: body size (maximum fork length), habitat position (demersal or pelagic), feeding group (benthivorous, piscivorous, planktivorous), offspring size and parental care. The zooplankton traits were obtained from Brun et al (2016). The selected benthos traits were: body size (average adult length), seabed position (epibenthic, interface, top, middle-deep), feeding group (suspension feeder, deposit feeder, scavenger and predator) and developmental mode (fragmentation-fission, direct, lecitotrophic, planktotrophic).…”

Section: Trait Informationmentioning

confidence: 99%

Spatio‐temporal dynamics of multi‐trophic communities reveal ecosystem‐wide functional reorganization

et al. 2019

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Large‐scale alterations in marine ecosystems as a response to environmental and anthropogenic pressures have been documented worldwide. Yet, these are primarily investigated by assessing abundance fluctuations of a few dominant species, which inadequately reflect ecosystem‐wide changes. In addition, it is increasingly recognized that it is not species identity per se, but their traits that determine environmental responses, biological interactions and ecosystem functioning. In this study, we investigated long‐term, spatio‐temporal variability in trait composition across multiple organism groups to assess whether functional changes occur in a similar way across trophic levels and whether shifts in trait composition link to environmental change. We combined extensive trait datasets with long‐term surveys (30–40 yr) of four organism groups (phytoplankton, zooplankton, benthic invertebrates and fish) in three environmentally distinct areas of a large marine ecosystem. We found similar temporal trajectories in the community weighted mean trait time‐series of the different trophic groups, revealing ecosystem‐wide functional changes. The traits involved and their dynamics differed between areas, concurrent with climate‐driven changes in temperature and salinity, as well as more local dynamics in nutrients and oxygen. This finding highlights the importance of considering both global climate, as well as local external drivers when studying ecosystem changes. Using a multi‐trophic trait‐based approach, our study demonstrates the importance of integrating community functional dynamics across multiple trophic levels to capture ecosystem‐wide responses which could, ultimately, help moving towards a holistic understanding, assessment and management of marine ecosystems.

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Section: Trait Informationmentioning

confidence: 99%

Spatio‐temporal dynamics of multi‐trophic communities reveal ecosystem‐wide functional reorganization

et al. 2019

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“…Nonetheless, sFDvent has more traits than the carabids.org (Homburg, Homburg, Schäfer, Schuldt, & Assmann, ) and stream invertebrates (Schäfer et al, ) databases, and more taxonomic entries than the amphibian (Trochet et al, ), reptile (Grimm, Prieto Ramírez, Moulherat, Reynaud, & Henle, ), stream invertebrate (Schäfer et al, ), and chironomid (Serra, Cobo, Graça, Dolédec, & Feio, ) databases (Table ). Traits limited in other databases [e.g., reproductive traits (Brun, Payne, & Kiørboe, )] also have low coverage and/or certainty in the raw sFDvent data, and we have excluded these from the recommended dataset (Supporting Information Table S4.2). However, body sizes are well scored, as in other databases [e.g., marine copepods (Brun et al, )].…”

Section: Resultsmentioning

confidence: 99%

“…Traits limited in other databases [e.g., reproductive traits (Brun, Payne, & Kiørboe, )] also have low coverage and/or certainty in the raw sFDvent data, and we have excluded these from the recommended dataset (Supporting Information Table S4.2). However, body sizes are well scored, as in other databases [e.g., marine copepods (Brun et al, )]. Furthermore, the sFDvent database encompasses similar biological parameters to all of the trait databases described in Table , differing in terminology (trait names and modalities) rather than conceptual basis (e.g., see Table ).…”

Section: Resultsmentioning

confidence: 99%

“…Deep‐sea hydrothermal‐vent species traits included in the sFDvent database, adapted from the Litchman, Ohman, and Kiørboe () framework (see also Brun et al, ). Here, ecological functions and processes potentially influenced by a trait are shown on the x axis, and trait categories are given on the y axis (see Supporting Information Table S4.1 for a glossary of trait definitions)…”

Section: Methodsmentioning

confidence: 99%

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sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Cuvelier

Gollner

2019

Global Ecol Biogeogr

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Motivation Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait‐based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep‐sea chemosynthesis‐based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global‐scale trait database for deep‐sea hydrothermal‐vent fauna – sFDvent (sDiv‐funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait‐based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal‐vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow‐marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross‐ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained Six hundred and forty‐six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid‐ocean ridges and 6 back‐arc spreading centres. Time period and grain sFDvent includes information on deep‐sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement Deep‐sea hydrothermal‐vent fauna with species‐level identification present or in progress. Software format .csv and MS Excel (.xlsx).

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“…Copepod size (female size in mm), offspring size (egg diameter in lm), and feeding modes were obtained from Brun et al (2016b). For the feeding mode, the species were categorized as either passive, active, or mixed feeders (Brun et al 2016b), while fecundity, calculated as the number of eggs produced per female per day, was obtained from Hirst and Kiørboe (2002).…”

Section: Traits Datamentioning

confidence: 99%

Spatial distribution of life‐history traits and their response to environmental gradients across multiple marine taxa

et al. 2018

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Trait-based approaches enable comparison of community composition across multiple organism groups. Yet, little is known about the degree to which empirical trait responses found for one taxonomic group can be generalized across organisms. In this study, we investigated the spatial variability of marine community-weighted mean traits and compared their environmental responses across multiple taxa and habitats, including pelagic zooplankton (copepods), demersal fish, and benthic infaunal invertebrates. We used extensive, spatially explicit datasets collected from scientific surveys in the North Sea and examined community composition of these groups using a trait-based approach. In order to cover the key biological characteristics of an organism, we considered three life-history traits (adult size, offspring size, and fecundity) and taxon-specific feeding traits. While many of the traits co-varied in space and notably demonstrated a south-north gradient, none of the traits showed a consistent spatial distribution across all groups. However, traits are often correlated as a result of trade-offs. When studying spatial patterns of multiple traits variability in fish and copepods, we showed a high spatial correlation. This also applied to a lesser extent to fish and benthic infauna, whereas no correlation was found between benthic infauna and copepods. The result suggested a decoupling in the community traits between strictly benthic and strictly pelagic species. The strongest drivers of spatial variability for many community traits are the gradients in temperature seasonality, primary productivity, fishing effort, and depth. Spatial variability in benthic traits also co-varied with descriptors of the seabed habitat. Overall, results showed that trait responses to environmental gradients cannot be generalized across organism groups, pointing toward potential complex responses of multi-taxa communities to environmental changes and highlighting the need for cross-habitat multi-trait analyses to foresee how environmental change will affect community structure and biodiversity at large.

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A trait database for marine copepods

Cited by 92 publications

References 30 publications

Spatio‐temporal dynamics of multi‐trophic communities reveal ecosystem‐wide functional reorganization

Spatio‐temporal dynamics of multi‐trophic communities reveal ecosystem‐wide functional reorganization

sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Spatial distribution of life‐history traits and their response to environmental gradients across multiple marine taxa

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