Evidence map›Paper›PMID 27334452›Full record

ArticleScientific reports2016

Responses of eastern Chinese coastal salt marshes to sea-level rise combined with vegetative and sedimentary processes.

Zhen-Ming Ge, Heng Wang, Hao-Bin Cao, Bin Zhao, Xiao Zhou, Heli Peltola, Li-Fang Cui, Xiu-Zhen Li, Li-Quan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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.

  1. Recommendations for the development of erosion-resistant tidal marshes to enhance nature-based flood risk mitigation.Ecological applications : a publication of the Ecological Society of America · 2026
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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

9 authors.

Zhen-Ming GeState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Heng WangState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Hao-Bin CaoState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Bin ZhaoMinistry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai 200433, China.
Xiao ZhouSchool of Forest Sciences, University of Eastern Finland, Joensuu 80101, Finland.
Heli PeltolaSchool of Forest Sciences, University of Eastern Finland, Joensuu 80101, Finland.
Li-Fang CuiState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Xiu-Zhen LiState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.
Li-Quan ZhangState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impacts of sea-level rise (SLR) on coastal ecosystems have attracted worldwide attention in relation to global change. In this study, the salt marsh model for the Yangtze Estuary (SMM-YE, developed in China) and the Sea Level Affecting Marshes Model (SLAMM, developed in the U.S.) were used to simulate the effects of SLR on the coastal salt marshes in eastern China. The changes in the dominant species in the plant community were also considered. Predictions based on the SLAMM indicated a trend of habitat degradation up to 2100; total salt marsh habitat area continued to decline (4-16%) based on the low-level scenario, with greater losses (6-25%) predicted under the high-level scenario. The SMM-YE showed that the salt marshes could be resilient to threats of SLR through the processes of accretion of mudflats, vegetation expansion and sediment trapping by plants. This model predicted that salt marsh areas increased (3-6%) under the low-level scenario. The decrease in the total habitat area with the SMM-YE under the high-level scenario was much lower than the SLAMM prediction. Nevertheless, SLR might negatively affect the salt marsh species that are not adapted to prolonged inundation. An adaptive strategy for responding to changes in sediment resources is necessary in the Yangtze Estuary.

Identifiers

PMID27334452
PMCPMC4917823

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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.