Evidence map›Paper›PMID 37952036›Full record

ArticleNature communications2023

Mangrove removal exacerbates estuarine infilling through landscape-scale bio-morphodynamic feedbacks.

Danghan Xie, Christian Schwarz, Maarten G Kleinhans, Karin R Bryan, Giovanni Coco, Stephen Hunt, Barend van Maanen

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Danghan XieDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands. danghan@bu.edu.ORCID 0000-0002-7594-2727
Christian SchwarzHydraulics and Geotechnics, Department of Civil Engineering, KU Leuven, Leuven, Belgium.ORCID 0000-0003-3417-2575
Maarten G KleinhansDepartment of Physical Geography, Utrecht University, Utrecht, the Netherlands.ORCID 0000-0002-9484-1673
Karin R BryanSchool of Science, University of Waikato, Hamilton, New Zealand.ORCID 0000-0002-4480-740X
Giovanni CocoSchool of Environment, University of Auckland, Auckland, New Zealand.
Stephen HuntWaikato Regional Council, Hamilton, New Zealand.
Barend van MaanenDepartment of Geography, University of Exeter, Exeter, UK.ORCID 0000-0001-6115-5362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in upstream land-use have significantly transformed downstream coastal ecosystems around the globe. Restoration of coastal ecosystems often focuses on local-scale processes, thereby overlooking landscape-scale interactions that can ultimately determine restoration outcomes. Here we use an idealized bio-morphodynamic model, based on estuaries in New Zealand, to investigate the effects of both increased sediment inputs caused by upstream deforestation following European settlement and mangrove removal on estuarine morphology. Our results show that coastal mangrove removal initiatives, guided by knowledge on local-scale bio-morphodynamic feedbacks, cannot mitigate estuarine mud-infilling and restore antecedent sandy ecosystems. Unexpectedly, removal of mangroves enhances estuary-scale sediment trapping due to altered sedimentation patterns. Only reductions in upstream sediment supply can limit estuarine muddification. Our study demonstrates that bio-morphodynamic feedbacks can have contrasting effects at local and estuary scales. Consequently, human interventions like vegetation removal can lead to counterintuitive responses in estuarine landscape behavior that impede restoration efforts, highlighting that more holistic management approaches are needed.

Indexed as

EcosystemEstuariesFeedbackHumansNew ZealandSandSand

Identifiers

PMID37952036
PMCPMC10640651

What OpenQuestion holds

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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.