Evidence map›Paper›PMID 36316398›Full record

ArticleScientific reports2022

Grassland coverage change and its humanity effect factors quantitative assessment in Zhejiang province, China, 1980-2018.

Linyou Lü, Yan Zhao, Lei Chu, Yongcui Wang, Quanlai Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Linyou Lü *Institute of Sandy Land Amelioration and Utilization, Liaoning Academy of Agricultural Sciences CN, Fuxin, 123000, China.
Yan Zhao *Institute of Sandy Land Amelioration and Utilization, Liaoning Academy of Agricultural Sciences CN, Fuxin, 123000, China.
Lei ChuCAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang, 110016, People's Republic of China.
Yongcui Wang *CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang, 110016, People's Republic of China. yongcuiwang@iae.ac.cn.
Quanlai Zhou *CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang, 110016, People's Republic of China. zhouquanlai@126.com.

Funding

National Key Research and Development Program of China 2018YFC050720305National Natural Science Foundation of China 41601588Science and Technology Plan Project of Liaoning Province 2020JH1/10300006
6 · The paper itself

Abstract

This study aims to make clear of grassland coverage change and quantitative assessment its effect factors. We collected the data from the National Bureau of Statistics ( http://www.stats.gov.cn ) and "China 20th Century Land Use/Cover Change (LUCC) Spatio-temporal Platform". Grassland coverage area showed an upward trend from 1980 to 1990, and the grassland coverage area is gradually decreasing from 1990 to 2000, and the grassland coverage area has not changed much from 2000 to 2018. The medium-coverage grassland area has the highest correlation with the total population, and the high-coverage grassland area has the lowest correlation with the total population. Land use types and the composite of gross agricultural output have influence on grassland coverage area. It is hoped that relevant policies should consider land use types and ecological benefits while balancing economic development and urban development.

Indexed as

Conservation of Natural ResourcesGrasslandAgricultureChinaEcosystem

Identifiers

PMID36316398
PMCPMC9622824

What OpenQuestion holds

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LicenceCC BY
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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.