Evidence map›Paper›PMID 33806311›Full record

ArticleInternational journal of environmental research and public health2021

Vegetation Dynamic Assessment by NDVI and Field Observations for Sustainability of China's Wulagai River Basin.

Panpan Chen, Huamin Liu, Zongming Wang, Dehua Mao, Cunzhu Liang, Lu Wen, Zhiyong Li, Jinghui Zhang, Dongwei Liu, Yi Zhuo and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
2.2field-weighted citation impact, top 13% 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, 18 citations in OpenAlex.

  1. Temporal and Spatial Variation of Aboveground Biomass ofInternational journal of environmental research and public health · 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

11 authors at 2 institutions in 1 country.

Panpan ChenCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Huamin LiuCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Zongming WangKey Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.ORCID 0000-0002-9865-8235
Dehua MaoKey Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.ORCID 0000-0003-3101-9153
Cunzhu LiangCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Lu WenCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Zhiyong LiCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Jinghui ZhangCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Dongwei LiuCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Yi ZhuoCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Lixin WangCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China.
Inner Mongolia University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate monitoring of grassland vegetation dynamics is essential for ecosystem restoration and the implementation of integrated management policies. A lack of information on vegetation changes in the Wulagai River Basin restricts regional development. Therefore, in this study, we integrated remote sensing, meteorological, and field plant community survey data in order to characterize vegetation and ecosystem changes from 1997 to 2018. The residual trend (RESTREND) method was utilized to detect vegetation changes caused by human factors, as well as to evaluate the impact of the management of pastures. Our results reveal that the normalized difference vegetation index (NDVI) of each examined ecosystem type showed an increasing trend, in which anthropogenic impact was the primary driving force of vegetation change. Our field survey confirmed that the meadow steppe ecosystem increased in species diversity and aboveground biomass; however, the typical steppe and riparian wet meadow ecosystems experienced species diversity and biomass degradation, therefore suggesting that an increase in NDVI may not directly reflect ecosystem improvement. Selecting an optimal indicator or indicator system is necessary in order to formulate reasonable grassland management policies for increasing the sustainability of grassland ecosystems.

Indexed as

EcosystemRiversBiomassChinaEnvironmental MonitoringGrasslandHumansanthropogenic impactsecosystem communitiesNDVIresidual trend analysisvegetation dynamics

Identifiers

PMID33806311
PMCPMC7967379
OpenAlexW3134153357

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.