Evidence map›Paper›PMID 36767252›Full record

ArticleInternational journal of environmental research and public health2023

The Nonlinear Impact of Mobile Human Activities on Vegetation Change in the Guangdong-Hong Kong-Macao Greater Bay Area.

Qionghuan Liu, Renzhong Guo, Zhengdong Huang, Biao He, Xiaoming Li

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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5 · Who and what money

Authors and funding

5 authors.

Qionghuan LiuResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
Renzhong GuoResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
Zhengdong HuangResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
Biao HeResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.
Xiaoming LiResearch Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-7804-368X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetation is essential for ecosystem function and sustainable urban development. In the context of urbanization, the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), as the typical urban-dominated region, has experienced a remarkable increase in social and economic activities. Their impact on vegetation is of great significance but unclear, as interannual flow data and linear methods have limitations. Therefore, in this study, we used human and vehicle flow data to build and simulate the indices of mobile human activity. In addition, we used partial least squares regression (PLSR), random forest (RF), and geographical detector (GD) models to analyze the impact of mobile human activities on vegetation change. The results showed that indices of mobile human and vehicle flow increased by 1.43 and 7.68 times from 2000 to 2019 in the GBA, respectively. Simultaneously, vegetation increased by approximately 64%, whereas vegetation decreased mainly in the urban areas of the GBA. Vegetation change had no significant linear correlation with mobile human activities, exhibiting a regression coefficient below 0.1 and a weight of coefficients of PLSR less than 40 between vegetation change and all the factors of human activities. However, a more significant nonlinear relationship between vegetation change and driving factors were obtained. In the RF regression model, vegetation decrease was significantly affected by mobile human activity of vehicle flow, with an importance score of 108.11. From the GD method, vegetation decrease was found to mainly interact with indices of mobile human and vehicle inflow, and the highest interaction force was 0.82. These results may support the attainment of sustainable social-ecological systems and global environmental change.

Indexed as

EcosystemUrbanizationChinaHong KongHuman ActivitiesHumansMacauclimate changeland use changemobile human activitiesnonlinear relationshipvegetation change

Identifiers

PMID36767252
PMCPMC9914965

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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.