Evidence map›Paper›PMID 34654838›Full record

ArticleScientific data2021

The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset.

Adnan Rajib, Qianjin Zheng, Heather E Golden, Qiusheng Wu, Charles R Lane, Jay R Christensen, Ryan R Morrison, Antonio Annis, Fernando Nardi

Abstract read
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mapping global non-floodplain wetlands.Earth system science data · 2023
    Article
  5. Article
  6. Article
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.

Adnan RajibDepartment of Environmental Engineering, Texas A&M University, Kingsville, Texas, USA. adnan.rajib@tamuk.edu.ORCID 0000-0003-2302-1421
Qianjin ZhengDepartment of Environmental Engineering, Texas A&M University, Kingsville, Texas, USA.ORCID 0000-0002-9535-472X
Heather E GoldenU.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA.ORCID 0000-0001-5501-9444
Qiusheng WuDepartment of Geography, University of Tennessee, Knoxville, Tennessee, USA.ORCID 0000-0001-5437-4073
Charles R LaneU.S. Environmental Protection Agency, Office of Research and Development, Athens, Georgia, USA.
Jay R ChristensenU.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA.
Ryan R MorrisonDepartment of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-8612-1684
Antonio AnnisWater Resources Research and Documentation Center, University for Foreigners of Perugia, Perugia, Italy.
Fernando NardiWater Resources Research and Documentation Center, University for Foreigners of Perugia, Perugia, Italy.ORCID 0000-0002-6562-3159

Funding

National Science Foundation (NSF) CBET-1916780National Science Foundation (NSF) HRD-1547798U.S. Department of Defense (United States Department of Defense) FAIN # W912HZ2020050
6 · The paper itself

Abstract

Floodplains provide essential ecosystem functions, yet >80% of European and North American floodplains are substantially modified. Despite floodplain changes over the past century, comprehensive, long-term land use change data within large river basin floodplains are limited. Long-term land use data can be used to quantify floodplain functions and provide spatially explicit information for management, restoration, and flood-risk mitigation. We present a comprehensive dataset quantifying floodplain land use change along the 3.3 million km

Identifiers

PMID34654838
PMCPMC8520011

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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.