Evidence map›Paper›PMID 34451544›Full record

ArticlePlants (Basel, Switzerland)2021

Unraveling the Influence of Land-Use Change on δ

Taimoor Hassan Farooq, Xiaoyong Chen, Awais Shakoor, Yong Li, Jun Wang, Muhammad Haroon U Rashid, Uttam Kumar, Wende Yan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 3 institutions in 4 countries.

Taimoor Hassan FarooqBangor College China, a Joint Unit of Bangor University, Wales, UK and Central South University of Forestry and Technology, Changsha 410004, China.ORCID 0000-0001-5478-1533
Xiaoyong ChenNational Engineering Laboratory for Applied Technology in Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, China.
Awais ShakoorDepartment of Environment and Soil Sciences, University of Lleida, Avinguda Alcalde Rovira Roure 191, 25198 Lleida, Spain.ORCID 0000-0001-9273-4500
Yong LiNational Engineering Laboratory for Applied Technology in Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, China.
Jun WangNational Engineering Laboratory for Applied Technology in Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, China.
Muhammad Haroon U RashidCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Uttam KumarCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Wende YanNational Engineering Laboratory for Applied Technology in Forestry and Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, China.
Central South University of Forestry and Technology · CNFujian Agriculture and Forestry University · CNUniversitat de Lleida · ES

Funding

Postdoctoral funding from Central South University of Forestry and Technology and the Hunan province finance department 70702-45200003
6 · The paper itself

Abstract

Natural isotopic abundance in soil and foliar can provide integrated information related to the long-term alterations of carbon (C) and nitrogen (N) cycles in forest ecosystems. We evaluated total carbon (TC), total nitrogen (TN), and isotopic natural abundance of C (δ

Indexed as

C and N cyclingisotopic compositionsoil healthstable isotopevegetation type

Identifiers

PMID34451544
PMCPMC8398092
OpenAlexW3183737149

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.