Evidence map›Paper›PMID 36834446›Full record

ArticleInternational journal of environmental research and public health2023

Urban Ecological Environment Quality Evaluation and Territorial Spatial Planning Response: Application to Changsha, Central China.

Chan Lu, Lei Shi, Lihua Fu, Simian Liu, Jianqiao Li, Zhenchun Mo

Abstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Chan LuCollege of Architecture and Art, Central South University, Changsha 410075, China.ORCID 0000-0002-1142-7902
Lei ShiCollege of Architecture and Art, Central South University, Changsha 410075, China.
Lihua FuCollege of Geographic Sciences and Tourism, Hunan University of Arts and Science, Changde 415000, China.
Simian LiuCollege of Architecture and Art, Central South University, Changsha 410075, China.
Jianqiao LiCollege of Urban and Environment, Hunan University of Technology, Zhuzhou 412007, China.
Zhenchun MoCollege of Tourism, Hunan Normal University, Changsha 410081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific territorial spatial planning is of great significance in the realization of the sustainable development goals in China, especially in the context of China's ecological civilization construction and territorial spatial planning. However, limited research has been carried out to understand the spatio-temporal change in EEQ and territorial spatial planning. In this study, Changsha County and six districts of Changsha City were selected as the research objects. Based on the remote sensing ecological index (RSEI) model, the spatio-temporal changes in the EEQ and spatial planning response in the study area during 2003-2018 were analyzed. The results reveal that (1) the EEQ of Changsha declined and then rose between 2003 and 2018, showing an overall decreasing trend. The average RSEI declined from 0.532 in 2003 to 0.500 in 2014 and then increased to 0.523 in 2018, with an overall decrease of 1.7%. (2) In terms of spatial pattern changes, the Xingma Group, the Airport Group and the Huangli Group in the east of the Xiangjiang River had the most serious EEQ degradation. The EEQ degradation of Changsha showed an expanding and polycentric decentralized grouping pattern. (3) Massive construction land expansion during rapid urbanization caused significant EEQ degradation in Changsha. Particularly, the areas with low EEQ were concentrated in the areas with concentrated industrial land. Scientific territorial spatial planning and strict control were conducive to regional EEQ improvement. (4) The prediction using the urban ecological model demonstrates that every 0.549 unit increase in NDVI or 0.2 unit decrease in NDBSI can improve the RSEI of the study area by 0.1 unit, thus improving EEQ. In the future territorial spatial planning and construction of Changsha, it is necessary to promote the transformation and upgrading of low-end industries into high-end manufacturing industries and control the scale of inefficient industrial land. The EEQ degradation caused by industrial land expansion needs to be noted. All of these findings can provide valuable information for relevant decision-makers to formulate ecological environment protection strategies and conduct future territorial spatial planning.

Indexed as

EcosystemEnvironmentChinaCitiesConservation of Natural ResourcesRemote Sensing TechnologyUrbanizationChangsha Cityindustrial land expansionrapid urbanizationremote sensingRSEIterritorial spatial planningurban ecological environment quality

Identifiers

PMID36834446
PMCPMC9961913

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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.