Evidence map›Paper›PMID 42389653›Full record

ArticleCambridge prisms. Coastal futures2026

Grounding water: Integrated methods for nature-based solutions in Great Lakes urban coastal regions.

Ehsan Alam, María Arquero de Alarcón, Geoffrey Thün, Kathy Velikov

Abstract read
In one paragraph

Article in Cambridge prisms. Coastal futures, 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

4 authors.

Ehsan AlamA. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, USA.ORCID https://orcid.org/0009-0004-5975-7443
María Arquero de AlarcónA. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, USA.
Geoffrey ThünA. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, USA.
Kathy VelikovA. Alfred Taubman College of Architecture and Urban Planning, University of Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban coastal regions in the Great Lakes Basin are increasingly vulnerable to destructive flooding driven by climate impacts, outdated gray infrastructure systems, and a legacy of urban hydrological alteration and habitat fragmentation. While Nature-based Solutions (NbS) offer a path to adaptation, their implementation is often hindered by governance fragmentation, uneven regional resources, and a lack of integrated planning and design tools. This article discusses a transdisciplinary research through design framework that translates complex hydrological, ecological, and socio-spatial datasets into a suite of multimodal tools that serve as boundary objects for regional NbS planning in Southeast Michigan. The study's core contribution is a transferable and translational methodology that bridges the gap between technical and institutional protocols, the practices of organizations stewarding existing green stormwater infrastructure projects, and the disparate experiences of flooding across urbanized watersheds. Findings show that the act of designing these tools as translational devices - such as interactive and thematic cartographies, actor-network diagrams, and sets of NbS and multispecies habitat cards - evidences a mode of inquiry that allows diverse actors to move from reactive control paradigms toward a relational framework for addressing regional interdependencies.

Indexed as

biodiversityclimate change adaptationinland coastal floodingnature-based solutionssustainable development

Identifiers

PMID42389653
PMCPMC13318805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.