Evidence map›Paper›PMID 36834294›Full record

ArticleInternational journal of environmental research and public health2023

Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section.

Ruibing Meng, Jiale Cai, Hui Xin, Zhongju Meng, Xiaohong Dang, Yanlong Han

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

Article in International journal of environmental research and public health, 2023. 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
2.3field-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, 14 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Ruibing MengCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Jiale CaiCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Hui XinCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Zhongju MengCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Xiaohong DangCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Yanlong HanCollege of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China.
Inner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a key area in the Yellow River basin for sand control and management, the land change process in the Hobq Desert plays a crucial role in keeping the river and desert ecosystems and promoting the construction of ecological civilization in human systems. Based on multi-temporal remote sensing from 1991 to 2019 in the Hobq Desert along the Yellow River section, this study selected spatial statistical methods (land-use monitoring and landscape metrics) to examine land-use change dynamics. Then, we evaluated habitat quality using the InVEST model and quantitatively analyzed the factors causing spatial changes in habitat quality using geographic detectors. Finally, this paper predicted the pattern of land use and habitat quality in 2030 using the PLUS model. The results reveal that (1) from 1991 to 2019, the total area of forest grassland increased by 3572.5 km

Indexed as

EcosystemRiversChinaConservation of Natural ResourcesForestsHumansTelemetryhabit qualityHobq DesertInVEST modelland-use changePLUS model

Identifiers

PMID36834294
PMCPMC9967140
OpenAlexW4321377576

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.