ArticleEcology and evolution2022
Biological traits approaches in benthic marine ecology: Dead ends and new paths.
Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A macrozoobenthic data set of the Black Sea northwestern shelf.Scientific data · 2025Article
- Towards Greater Standardisation in Benthic Trait Research to Support Application to Environmental Management.Ecology and evolution · 2025Review
- Probabilistic ecological risk assessment for deep-sea mining: A Bayesian network for Chatham Rise, Pacific Ocean.Ecological applications : a publication of the Ecological Society of America · 2025Article
- Overcoming challenges to access ecological function: a marine soft-bottom perspective.Royal Society open science · 2024Review
- Functional diversity of macrozoobenthos under adverse oxygen conditions in the southern Baltic Sea.Scientific reports · 2024Article
- Ecological network analysis of traits reveals variable response capacity to stress.Proceedings. Biological sciences · 2023Article
- Biological traits approaches in benthic marine ecology: Dead ends and new paths.Ecology and evolution · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Biological traits analysis (BTA) links community structure to both ecological functions and response to environmental drivers through species' attributes. In consequence, it has become a popular approach in marine benthic studies. However, BTA will reach a dead end if the scientific community does not acknowledge its current shortcomings and limitations: (a) uncertainties related to data origins and a lack of standardized reporting of trait information; (b) knowledge gaps on the role of multiple interacting traits on driving the organisms' responses to environmental variability; (c) knowledge gaps regarding the mechanistic links between traits and functions; (d) a weak focus on the spatial and temporal variability that is inherent to the trait expression of species; and, last but not least, (e) the large reliance on expert knowledge due to an enormous knowledge gap on the basic ecology of many benthic species. BTA will only reach its full potential if the scientific community is able to standardize and unify the reporting and storage of traits data and reconsider the importance of baseline observational and experimental studies to fill knowledge gaps on the mechanistic links between biological traits, functions, and environmental variability. This challenge could be assisted by embracing new technological advances in marine monitoring, such as underwater camera technology and artificial intelligence, and making use of advanced statistical approaches that consider the interactive nature and spatio-temporal variability of biological systems. The scientific community has to abandon some dead ends and explore new paths that will improve our understanding of individual species, traits, and the functioning of benthic ecosystems.
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Registered trials
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