Evidence map›Paper›PMID 36078675›Full record

ArticleInternational journal of environmental research and public health2022

Quantifying the Relationship between Land Use Intensity and Ecosystem Services' Value in the Hanjiang River Basin: A Case Study of the Hubei Section.

Hui Yang, Liang Zheng, Ying Wang, Jiangfeng Li, Bowen Zhang, Yuzhe Bi

Abstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Impacts of Land-Use Change on Ecosystem Services Value in the South-to-North Water Diversion Project, China.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Article
  6. Impacts of Stressors on Riparian Health Indicators in the Upper and Lower Indus River Basins in Pakistan.International journal of environmental research and public health · 2022
    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.

Hui YangSchool of Public Administration, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-4247-4768
Liang ZhengChangjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China.ORCID 0000-0001-5294-8600
Ying WangSchool of Public Administration, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-5868-5661
Jiangfeng LiSchool of Public Administration, China University of Geosciences, Wuhan 430074, China.
Bowen ZhangSchool of Public Administration, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-3317-8812
Yuzhe BiSchool of Public Administration, China University of Geosciences, Wuhan 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increased land use intensity due to rapid urbanization and socio-economic development would alter the structure and function of regional ecosystems and cause prominent environmental problems. Revealing the impact of land use intensity on ecosystem services (ES) would provide guidance for more informed decision making to promote the sustainable development of human and natural systems. In this study, we selected the Hanjiang River Basin (HRB) in Hubei Province (China) as our study area, explored the correlation between land use intensity and ecosystem Services' Value (ESV), and investigated impacts of natural and socio-economic factors on ESV variations based on the Geographical Detector Model (GDM) and Geographically Weighted Regression (GWR). The results show that (1) from 2000 to 2020, land use intensity in HRB generally showed an upward trend, with a high spatial agglomeration in the southeast and low in the northwest; (2) the total ESV increased from 295.56 billion CNY in 2000 to 296.93 billion CNY in 2010, and then decreased to 295.63 CNY in 2020, exhibiting an inverted U-shaped trend, with regulation services contributing the most to ESV; (3) land use intensity and ESV had a strong negative spatial correlation, with LH (low land use intensity vs. high ESV) aggregations mainly distributed in the northwest, whereas HL (high land use intensity vs. low ESV) aggregations were located in the southeast; (4) natural factors, including annual mean temperature, the percentage of forest land, and slope were positively associated with ESV, while socio-economic factors, including GDP and population density, were negatively associated with ESV. To achieve the coordinated development of the socio-economy and the environment, ES should be incorporated into spatial planning and socio-economic development policies.

Indexed as

EcosystemRiversChinaConservation of Natural ResourcesEconomic DevelopmentHumansUrbanizationdriving factorsecosystem services’ value (ESV)Hanjiang River Basin (HRB)land use intensityspatial correlationsspatiotemporal characteristics

Identifiers

PMID36078675
PMCPMC9517847

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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.