Evidence map›Paper›PMID 39186539›Full record

ArticlePloS one2024

Modeling the interaction of vegetation and sea level rise on barrier island evolution.

Gregory Robson, Eric Schoen, David M Chan, H Reed Ogrosky, Kiran Shrestha, Julie C Zinnert

Abstract read
In one paragraph

Article in PloS one, 2024. 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

6 authors.

Gregory RobsonDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, United States of America.
Eric SchoenDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, United States of America.
David M ChanDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-6281-235X
H Reed OgroskyDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, United States of America.
Kiran ShresthaDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, United States of America.
Julie C ZinnertDepartment of Biology, Virginia Commonwealth University, Richmond, VA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barrier islands provide a first line of defense against ocean flooding and storm surge. Biogeomorphic interactions are recognized as important in coastal system processes, but current barrier island models are primarily dominated by physical processes. Recent research has demonstrated different biogeomorphic states that influence response to sea level rise and other disturbance. Building on this understanding, we present a cellular model utilizing biotic and abiotic processes and their interactions for barrier island evolution. Using the literature and field derived parameters, we model barrier island evolution and compare to three decades of change for Smith Island, a Virginia Coast Reserve barrier island. We conduct simulations that show the impact of biogeomorphic states on island migration under different sea level rise scenarios. We find that migration is highest in areas with low topography and light vegetation cover (i.e. disturbance reinforcing) compared to areas with greater topographic complexity and high cover of woody vegetation i.e. disturbance resisting). This study demonstrates the importance of biogeomorphic interactions for barrier island evolution with sea level rise and will aid future predictions for these important ecosystems with climate change.

Indexed as

EcosystemIslandsSea Level RiseBiological EvolutionClimate ChangeModels, TheoreticalPlantsVirginia

Identifiers

PMID39186539
PMCPMC11346659

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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.