Evidence map›Paper›PMID 31553112›Full record

ArticleGlobal change biology2020

Limitations of trait-based approaches for stressor assessment: The case of freshwater invertebrates and climate drivers.

Anna T Hamilton, Ralf B Schäfer, Matthew I Pyne, Bruce Chessman, Karan Kakouei, Kate S Boersma, Piet F M Verdonschot, Ralf C M Verdonschot, Meryl Mims, Kieran Khamis and 2 more

Abstract read
In one paragraph

Article in Global change biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Climate-linked biogeography of mycorrhizal fungal spore traits.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

12 authors.

Anna T HamiltonTetra Tech Center for Ecological Sciences, Santa Fe, NM, USA.ORCID 0000-0002-2588-563X
Ralf B SchäferiES Landau, Institute for Environmental Sciences, University Koblenz-Landau, Landau, Germany.ORCID 0000-0003-3510-1701
Matthew I PyneDepartment of Biology, Lamar University, Beaumont, TX, USA.
Bruce ChessmanCentre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia.
Karan KakoueiDepartment of Ecosystem Research, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0001-8665-6841
Kate S BoersmaDepartment of Biology, University of San Diego, San Diego, CA, USA.
Piet F M VerdonschotWageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands.
Ralf C M VerdonschotWageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands.
Meryl MimsDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Kieran KhamisSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
Britta BierwagenOffice of Research and Development, National Center for Environmental Assessment, U.S. Environmental Protection Agency, Washington, DC, USA.
Jen StampTetra Tech Center for Ecological Sciences, Montpelier, VT, USA.

Funding

EPA EP-C-17-031Intramural EPA EPA999999
6 · The paper itself

Abstract

The appeal of trait-based approaches for assessing environmental vulnerabilities arises from the potential insight they provide into the mechanisms underlying the changes in populations and community structure. Traits can provide ecologically based explanations for observed responses to environmental changes, along with predictive power gained by developing relationships between traits and environmental variables. Despite these potential benefits, questions remain regarding the utility and limitations of these approaches, which we explore focusing on the following questions: (a) How reliable are predictions of biotic responses to changing conditions based on single trait-environment relationships? (b) What factors constrain detection of single trait-environment relationships, and how can they be addressed? (c) Can we use information on meta-community processes to reveal conditions when assumptions underlying trait-based studies are not met? We address these questions by reviewing published literature on aquatic invertebrate communities from stream ecosystems. Our findings help to define factors that influence the successful application of trait-based approaches in addressing the complex, multifaceted effects of changing climate conditions on hydrologic and thermal regimes in stream ecosystems. Key conclusions are that observed relationships between traits and environmental stressors are often inconsistent with predefined hypotheses derived from current trait-based thinking, particularly related to single trait-environment relationships. Factors that can influence findings of trait-based assessments include intercorrelations of among traits and among environmental variables, spatial scale, strength of biotic interactions, intensity of habitat disturbance, degree of abiotic stress, and methods of trait characterization. Several recommendations are made for practice and further study to address these concerns, including using phylogenetic relatedness to address intercorrelation. With proper consideration of these issues, trait-based assessment of organismal vulnerability to environmental changes can become a useful tool to conserve threatened populations into the future.

Indexed as

EcosystemInvertebratesAnimalsClimateFresh WaterPhylogenybioassessmentclimate stressor responsesfreshwater invertebratesinvertebrate traitsstressor assessmenttrait-based assessment

Identifiers

PMID31553112
PMCPMC10839858

What OpenQuestion holds

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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.