Evidence map›Paper›PMID 39838184›Full record

ArticleEnvironmental management2025

Adaptive Planning Approaches for Coastal Climate Adaptation: Process and Key-elements.

Sofia Valente, Paulo Pinho

Abstract read
In one paragraph

Article in Environmental management, 2025. 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

2 authors.

Sofia ValenteCITTA - Research Centre for Territory, Transports and Environment, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal. sofiavalente.v@gmail.com.ORCID 0000-0003-4339-5789
Paulo PinhoCITTA - Research Centre for Territory, Transports and Environment, Department of Civil Engineering, Faculty of Engineering, University of Porto, Porto, Portugal.ORCID 0000-0001-5159-8856

Funding

Fundação para a Ciência e a Tecnologia PD/BD/128185/2016
6 · The paper itself

Abstract

The paradigm of Adaptive Planning and Management provides several methodological approaches for designing robust adaptive plans to cope with uncertain future changes, namely the Adaptation Pathways' method (APs). These approaches, particularly those containing APs, have captured increasing interest in the field of coastal climate adaptation as useful for guiding its planning and management. While these approaches have been tested in several research cases, there are still few real cases of application into coastal spatial planning instruments. Furthermore, the lack of implementation of coastal adaptation actions in urbanized coasts worldwide, so-called adaptation gaps, points to the need of investigating to what extent these Adaptive Planning approaches containing APs are being applied in coastal plans. A deeper analysis of cases of application of these approaches in coastal plans is required to understand how adaptive plans are being crafted. This article focusses on the two major cases of application of APs-based Adaptive Planning and Management approaches into planning and management instruments - the Thames Estuary 2100 Plan and the Delta Programme - to identify what elements were essential to design an adaptive plan and operationalize an Adaptive Planning and Management approach, including ingredients that the plan had to meet to be robust and adaptive. Our results suggest that at least five elements are required to craft and deliver a robust adaptive plan and accomplish a real Adaptive Planning and Management.

Indexed as

Climate ChangeConservation of Natural ResourcesEstuariesAdaptation pathways approachAdaptive planning and management approachesChanging coastal risksCoastal climate adaptationFlood risk management

Identifiers

PMID39838184
PMCPMC11965211

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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.