Evidence map›Paper›PMID 36231277›Full record

ArticleInternational journal of environmental research and public health2022

Is There a Spatial Relationship between Urban Landscape Pattern and Habitat Quality? Implication for Landscape Planning of the Yellow River Basin.

Dike Zhang, Jianpeng Wang, Ying Wang, Lei Xu, Liang Zheng, Bowen Zhang, Yuzhe Bi, Hui Yang

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Spatio-Temporal Changes in Land Use and Habitat Quality of Hobq Desert along the Yellow River Section.International journal of environmental research and public health · 2023
    Article
  7. Spatio-Temporal Evolution and Influence Mechanism of Habitat Quality in Guilin City, China.International journal of environmental research and public health · 2022
    Article
  8. Spatial Patterns of Natural Protected Areas and Construction of Protected Area Groups in Guangdong Province.International journal of environmental research and public health · 2022
    Article
  9. Restoring Coal Mining-Affected Areas: The Missing Ecosystem Services.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

8 authors.

Dike ZhangSchool of Foreign Languages, China University of Geosciences, Wuhan 430074, China.
Jianpeng WangChangjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China.
Ying WangDepartment of Land Resources Management, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-5868-5661
Lei XuWuhan Economic and Technological Development Zone (Hannan District) Natural Resources and Planning Bureau, Wuhan 430056, China.
Liang ZhengChangjiang Institute of Survey, Planning, Design and Research, Wuhan 430014, China.ORCID 0000-0001-5294-8600
Bowen ZhangDepartment of Land Resources Management, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0002-3317-8812
Yuzhe BiDepartment of Land Resources Management, China University of Geosciences, Wuhan 430074, China.
Hui YangDepartment of Land Resources Management, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-4247-4768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extent to which landscape spatial patterns can impact the dynamics and distribution of biodiversity is a key geography and ecology issue. However, few previous studies have quantitatively analyzed the spatial relationship between the landscape pattern and habitat quality from a simulation perspective. In this study, the landscape pattern in 2031 was simulated using a patch-generating simulation (PLUS) model for the Yellow River Basin. Then, the landscape pattern index and habitat quality from 2005 to 2031 were evaluated using the Fragstats 4.2 and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Furthermore, we analyzed the spatial distribution characteristics and spatial spillover effects of habitat quality using spatial autocorrelation analysis. Finally, the spatial association between the landscape pattern index and habitat quality was quantitatively revealed based on a spatial lag model. The simulation results showed that: (1) from 2005 to 2031, the landscape of the Yellow River Basin would be dominated by grassland and unused land, and the areas of construction land and water body will increase significantly, while the area of grassland will decrease; (2) patch density (PD) and Shannon's diversity index (SHDI) show significant increases, while edge density (ED), landscape shape index (LSI), mean patch area (AREA_MN), and contagion index (CONTAG) decrease; (3) from 2005 to 2031, habitat quality would decrease. The high-value areas of habitat quality are mainly distributed in the upper reaches of the Yellow River Basin, and the low-value areas are distributed in the lower reaches. Meanwhile, both habitat quality and its change rate present positive spatial autocorrelation; and (4) the spatial relationships of habitat quality with PD and COHESION are negative, while ED and LSI have positive impacts on habitat quality. Specifically, landscape fragmentation caused by high PD has a dominant negative influence on habitat quality. Therefore, this study can help decision makers manage future landscape patterns and develop ecological conservation policy in the Yellow River Basin.

Indexed as

EcosystemRiversBiodiversityChinaConservation of Natural ResourcesWaterWaterhabitat qualitylandscape patternland-use simulationspatial autocorrelationspatial regressionYellow River Basin

Identifiers

PMID36231277
PMCPMC9565473

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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.