Evidence map›Paper›PMID 35627629›Full record

ArticleInternational journal of environmental research and public health2022

Simulation of Land-Use Spatiotemporal Changes under Ecological Quality Constraints: The Case of the Wuhan Urban Agglomeration Area, China, over 2020-2030.

Jingye Li, Jian Gong, Jean-Michel Guldmann, Jianxin Yang, Zhong Zhang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models.International journal of environmental research and public health · 2023
    Article
  4. 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

5 authors.

Jingye LiDepartment of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-6561-2962
Jian GongDepartment of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China.
Jean-Michel GuldmannDepartment of City and Regional Planning, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-3261-0324
Jianxin YangDepartment of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China.
Zhong ZhangDepartment of Land Resource Management, School of Public Administration, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0003-3002-4831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human activities coupled with land-use change pose a threat to the regional ecological environment. Therefore, it is essential to determine the future land-use structure and spatial layout for ecological protection and sustainable development. Land use simulations based on traditional scenarios do not fully consider ecological protection, leading to urban sprawl. Timely and dynamic monitoring of ecological status and change is vital to managing and protecting urban ecology and sustainable development. Remote sensing indices, including greenness, humidity, dryness, and heat, are calculated annually. This method compensates for data loss and difficulty in stitching remote sensing ecological indices over large-scale areas and long time-series. Herein, a framework is developed by integrating the four above-mentioned indices for a rapid, large-scale prediction of land use/cover that incorporates the protection of high ecological quality zone (HEQZ) land. The Google Earth Engine (GEE) platform is used to build a comprehensive HEQZ map of the Wuhan Urban Agglomeration Area (WUAA). Two scenarios are considered: Ecological protection (EP) based on HEQZ and natural growth (NG) without spatial ecological constraints. Land use/cover in the WUAA is predicted over 2020-2030, using the patch-generating land use simulation (PLUS) model. The results show that: (1) the HEQZ area covers 21,456 km

Indexed as

Conservation of Natural ResourcesEcosystemChinaCitiesForestsHumansecological protectionGoogle Earth Engineland use predictionscenario simulationWuhan Urban Agglomeration Area

Identifiers

PMID35627629
PMCPMC9140387

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.