Evidence map›Paper›PMID 35805374›Full record

ArticleInternational journal of environmental research and public health2022

Land Use and Climate Change Altered the Ecological Quality in the Luanhe River Basin.

Yongbin Zhang, Tanglei Song, Jihao Fan, Weidong Man, Mingyue Liu, Yongqiang Zhao, Hao Zheng, Yahui Liu, Chunyu Li, Jingru Song and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Can Government Environmental Auditing Help to Improve Environmental Quality? Evidence from China.International journal of environmental research and public health · 2023
    Article
  2. 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

12 authors.

Yongbin ZhangCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Tanglei SongCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Jihao FanHebei Tangshan High Resolution Earth Observation System Data and Application Center, Tangshan 063210, China.
Weidong ManCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.ORCID 0000-0003-1960-1976
Mingyue LiuCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Yongqiang ZhaoQinhuangdao City Surveying and Mapping Brigade, Qinhuangdao 066000, China.
Hao ZhengCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Yahui LiuCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Chunyu LiCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Jingru SongCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Xiaowu YangCollege of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China.
Junmin DuHebei Tangshan High Resolution Earth Observation System Data and Application Center, Tangshan 063210, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring and assessing ecological quality (EQ) can help to understand the status and dynamics of the local ecosystem. Moreover, land use and climate change increase uncertainty in the ecosystem. The Luanhe River Basin (LHRB) is critical to the ecological security of the Beijing-Tianjin-Hebei region. To support ecosystem protection in the LHRB, we evaluated the EQ from 2001 to 2020 based on the Remote Sensing Ecological Index (RSEI) with the Google Earth Engine (GEE). Then, we introduced the coefficient of variation, Theil-Sen analysis, and Mann-Kendall test to quantify the variation and trend of the EQ. The results showed that the EQ in LHRB was relatively good, with 61.08% of the basin rated as 'good' or 'excellent'. The spatial distribution of EQ was low in the north and high in the middle, with strong improvement in the north and serious degradation in the south. The average EQ ranged from 0.58 to 0.64, showing a significant increasing trend. Furthermore, we found that the expansion of construction land has caused degradation of the EQ, whereas climate change likely improved the EQ in the upper and middle reaches of the LHRB. The results could help in understanding the state and trend of the eco-environment in the LHRB and support decision-making in land-use management and climate change.

Indexed as

Climate ChangeRiversBeijingChinaEcosystemEnvironmental Monitoringclimate changeecological qualityGoogle Earth Engineland useremote sensing ecological indextime series

Identifiers

PMID35805374
PMCPMC9266296

What OpenQuestion holds

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Registered trials

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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.