Evidence map›Paper›PMID 32138286›Full record

ArticleInternational journal of environmental research and public health2020

Rapid Loss of Tidal Flats in the Yangtze River Delta since 1974.

Xing Li, Xin Zhang, Chuanyin Qiu, Yuanqiang Duan, Shu'an Liu, Dan Chen, Lianpeng Zhang, Changming Zhu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

8 authors.

Xing LiSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.ORCID 0000-0003-3793-1581
Xin ZhangState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-0394-7972
Chuanyin QiuSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Yuanqiang DuanSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Shu'an LiuSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Dan ChenSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Lianpeng ZhangSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.
Changming ZhuSchool of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the home to national nature reserves and a Ramsar wetland, the tidal flats of the Yangtze River Delta are of great significance for ecological security, at both the local and global scales. However, a comprehensive understanding of the spatiotemporal conditions of the tidal flats in the Yangtze River Delta remains lacking. Here, we propose using remote sensing to obtain a detailed spatiotemporal profile of the tidal flats, using all available Landsat images from 1974 to 2018 with the help of the Google Earth Engine cloud platform. In addition, reclamation data were manually extracted from time series Landsat images for the same period. We found that approximately 40.0% (34.9-43.1%) of the tidal flats in the study area have been lost since 1980, the year in which the tidal flat area was maximal. The change in the tidal flat areas was consistent with the change in the riverine sediment supply. We also found that the cumulative reclamation areas totaled 816.6 km

Indexed as

EcosystemRiversChinaEnvironmental MonitoringEstuariesWetlandsLandsatreclamationremote sensingsediment supplytidal flatYangtze River Delta

Identifiers

PMID32138286
PMCPMC7084696

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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.