2023
DOI: 10.1038/s41597-023-02414-6
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NZTD - The New Zealand Trait Database for shallow-water marine benthic invertebrates

Abstract: Macrobenthic traits, for example feeding mode, life history, morphology, are increasingly used for determining responses of macrobenthic fauna to environmental change and influences on ecosystem functioning. Yet, trait information is scarce or non-existent in several parts of the world, such as New Zealand. This deficit makes collecting trait data a difficult and time-consuming task, limiting its potential use in trait-based assessments. Here, we present the New Zealand Trait Database (NZTD) for marine benthic… Show more

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Cited by 3 publications
(1 citation statement)
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“…Over the past few decades, regional and global trait datasets for various biological taxa have been sequentially established, with traits becoming an increasingly utilized research element within the fields of ecology, biodiversity conservation, ecosystem restoration, and landscape management 1,5,9,10 . Despite global efforts to construct trait databases, the majority of existing databases are primarily focused on plants, birds, and amphibians, representing relatively small taxonomic groups [11][12][13][14][15] . In contrast, focusing on insect taxa presents a formidable challenge due to the vast number of species, making the collection of research-valuable trait data a daunting task.…”
Section: Background and Summarymentioning
confidence: 99%
“…Over the past few decades, regional and global trait datasets for various biological taxa have been sequentially established, with traits becoming an increasingly utilized research element within the fields of ecology, biodiversity conservation, ecosystem restoration, and landscape management 1,5,9,10 . Despite global efforts to construct trait databases, the majority of existing databases are primarily focused on plants, birds, and amphibians, representing relatively small taxonomic groups [11][12][13][14][15] . In contrast, focusing on insect taxa presents a formidable challenge due to the vast number of species, making the collection of research-valuable trait data a daunting task.…”
Section: Background and Summarymentioning
confidence: 99%