Evidence map›Paper›PMID 41331158›Full record

ArticleEnvironmental management2025

Restoring the Florida Everglades: Insights on Integrating Sea Level Rise into Decision-Support Tools.

Stephanie Castellano, Mysha Clarke, Laura D'Acunto, Stephanie Romañach, Stephanie Cadaval

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

5 authors.

Stephanie CastellanoSchool of Forest, Fisheries and Geomatic Sciences, University of Florida, Gainesville, FL, USA.
Mysha ClarkeSchool of Forest, Fisheries and Geomatic Sciences, University of Florida, Gainesville, FL, USA. mysha.clarke@ufl.edu.
Laura D'AcuntoU.S. Geological Survey, Gainesville, FL, USA.
Stephanie RomañachU.S. Geological Survey, Gainesville, FL, USA.
Stephanie CadavalSchool of Forest, Fisheries and Geomatic Sciences, University of Florida, Gainesville, FL, USA.

Funding

U.S. Geological Survey G22AC00433-00
6 · The paper itself

Abstract

Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida's Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners' adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners' perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.

Indexed as

Conservation of Natural ResourcesDecision Support TechniquesSea Level RiseWetlandsClimate ChangeEcosystemFloridaModels, TheoreticalClimate changeCoastal restorationDiffusion of Innovations TheoryInnovation decision processScenario modeling

Identifiers

PMID41331158
PMCPMC12672783

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.