Evidence map›Paper›PMID 37516737›Full record

ArticleScientific data2023

NZTD - The New Zealand Trait Database for shallow-water marine benthic invertebrates.

Orlando Lam-Gordillo, Andrew M Lohrer, Judi Hewitt, Sabine Dittmann

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Seafloor sediment microtopography as a surrogate for biodiversity and ecosystem functioning.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Orlando Lam-GordilloNational Institute of Water and Atmospheric Research, Hamilton, New Zealand. orlando.lam-gordillo@niwa.co.nz.ORCID 0000-0001-6805-6260
Andrew M LohrerNational Institute of Water and Atmospheric Research, Hamilton, New Zealand.ORCID 0000-0002-3893-6539
Judi HewittNational Institute of Water and Atmospheric Research, Hamilton, New Zealand.
Sabine DittmannCollege of Science and Engineering, Flinders University, Adelaide, Australia.ORCID 0000-0002-9408-2734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 invertebrates, the first comprehensive assessment of macrobenthic traits in New Zealand. The NZTD provides trait information for more than 700 macrobenthic taxa, categorised by 18 traits and 77 trait modalities. The NZTD includes five freely downloadable datasets, (1) the macrobenthic trait dataset, with outcomes from a fuzzy coding procedure, (2) the trait source information, (3) the references by taxa, (4) the full references list, and (5) the full taxa list used in the NZTD. Establishing the NZTD closes the trait knowledge gap in New Zealand and facilitates future research applying trait-based approaches to New Zealand's coastal macrofauna.

Indexed as

EcosystemInvertebratesAnimalsDatabases, FactualNew ZealandOceans and Seas

Identifiers

PMID37516737
PMCPMC10387081

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.