Evidence map›Paper›PMID 42164412›Full record

ArticleEnvironmental research letters : ERL [Web site]2026

Coproduced assessments of climate change adaptation reveal equity challenges in locally led approaches.

Ben C Howard, Cynthia Awuni, Samuel Agyei-Mensah, Camilla Audia, Frans Berkhout, Lee D Bryant, Alicia Cavanaugh, Alex Curran, Shona Macleod, Robert Manteaw and 6 more

Abstract read
In one paragraph

Article in Environmental research letters : ERL [Web site], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ben C HowardDepartment of Civil and Environmental Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4010-8131
Cynthia AwuniDepartment of Hospitality and Tourism Management, Tamale Technical University, Tamale, Ghana.
Samuel Agyei-MensahDepartment of Geography and Resource Management, University of Ghana, Accra, Ghana.
Camilla AudiaInstitute for Global Sustainable Development, University of Warwick, Coventry, United Kingdom.ORCID https://orcid.org/0000-0002-1504-9750
Frans BerkhoutDepartment of Geography, King's College London, London, United Kingdom.
Lee D BryantCentre for Climate Adaptation & Environment Research (CAER), University of Bath, Bath, United Kingdom.
Alicia CavanaughScientific Consulting Group, Gaithersburg, MD, United States of America.ORCID https://orcid.org/0000-0003-4966-8397
Alex CurranHKV consultants, Delft, The Netherlands.
Shona MacleodDepartment of Geography, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-1676-0915
Robert ManteawCenter for Climate Change and Sustainability Studies, University of Ghana, Accra, Ghana.
Paul MitchellInternational Institute for Environment and Development (IIED), London, United Kingdom.
Annie OckelfordDepartment of Civil and Environmental Engineering, University of Liverpool, Liverpool, United Kingdom.
Victoria PrattInvisible Flock Studio, Leeds, United Kingdom.
Abubakar Sadiq MohammedFaculty of Built and Natural Environment, Tamale Technical University, Tamale, Ghana.
Jacob TettehDepartment of Geography and Resource Management, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0001-9188-2472
Wouter BuytaertDepartment of Civil and Environmental Engineering, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6994-4454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic assessments of climate change adaptation are critical for monitoring progress and planning effectively, but current approaches are limited in their scope, accuracy, and relevance to local contexts. Here, we present an improved approach using coproduction to quantitively assess adaptation based on local knowledge and priorities. This is applied to locally led adaptation (LLA) to flood risk in Tamale, Ghana, to provide the first quantitative assessments of this increasingly common adaptation practice. Through a multi-year process, including community marble distribution, focus groups, and household surveys, 11 LLA solutions were assessed. Assessments were based on adaptation success criteria that mattered most to local communities and included important considerations that are commonly missing from technical assessments, including multiple risk-reduction mechanisms, equity, sustainability, and co-impacts. Community-based and behavioural LLA solutions, such as collective action and tree planting, were deemed most effective, whilst structural and technical solutions were ranked lower. By integrating these assessments into a flood risk model, we show that LLA approaches significantly reduced flood risk overall but did not address existing inequalities. Our results showcase the potential of coproduction to increase the scope and robustness of adaptation assessments and highlight practical challenges of delivering on the LLA principles in real-world settings.

Indexed as

adaptation assessmentsclimate change adaptationclimate justicecoproductionflood risk modellinglocally led adaptation

Identifiers

PMID42164412
PMCPMC13185538

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LicenceCC BY
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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.