Identification of the important environmental factors influencing natural vegetation succession following cropland abandonment on the Loess Plateau, China.

Zhenguo Zhang, Mingming Wang, Jikai Liu, Xinwei Li

Open access · goldAbstract read

In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.4field-weighted citation impact, top 24% of its field

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

1 citing paper in PubMed, 3 citations in OpenAlex.

Examining long-term natural vegetation dynamics in the Aral Sea Basin applying the linear spectral mixture model.PeerJ · 2021
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

4 authors at 3 institutions in 1 country.

Zhenguo ZhangCollege of Resources and Environment, Anhui Science and Technology University, Fengyang, Anhui, China.

Mingming WangNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin, China.

Jikai LiuCollege of Resources and Environment, Anhui Science and Technology University, Fengyang, Anhui, China.

Xinwei LiCollege of Resources and Environment, Anhui Science and Technology University, Fengyang, Anhui, China.

Anhui Science and Technology University · CNAnhui University of Science and Technology · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of typical vegetation succession types and their important influencing factors is an important prerequisite to implement differential vegetation and soil management after land abandonment on the Loess Plateau, China. However, there is no reported study specifically on the identification of vegetation types and their important factors as well as the thresholds of the important factors for classification of the vegetation types, based on the medium- to long-term succession of natural vegetation after cropland abandonment. We collected vegetation and soil data on the natural vegetation with the longest 60-year-old forest communities that developed after cropland abandonment and analyzed the data using two-way indicator species analysis, detrended correspondence analysis, direct canonical correspondence analysis and classification tree model. The vegetation communities were classified into five distinct vegetation types, including

Indexed as

Abandoned croplandClassification tree modelC/N ratioLoess PlateauVegetation succession

Identifiers

PMID33240658

DOI10.7717/peerj.10349

PMCPMC7668204

OpenAlexW3099046175

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.