The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models

Urban growth (UG) in the Chinese Loess Plateau has increased rapidly, impacting regional ecosystem services (ESs). Accurate evaluations of UG-ESs have become a challenge for the development of simulation models. To address long-term spatiotemporal dependencies in grid neighborhood interactions, this...

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Main Authors: Liang Youjia, Su Zichong, Liu Lijun
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/128/e3sconf_icaeer2024_02009.pdf
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author Liang Youjia
Su Zichong
Liu Lijun
author_facet Liang Youjia
Su Zichong
Liu Lijun
author_sort Liang Youjia
collection DOAJ
description Urban growth (UG) in the Chinese Loess Plateau has increased rapidly, impacting regional ecosystem services (ESs). Accurate evaluations of UG-ESs have become a challenge for the development of simulation models. To address long-term spatiotemporal dependencies in grid neighborhood interactions, this study enhances land-use simulation accuracy using a method combining machine learning algorithms and cellular automata (CL-CA) to model competitive relationship between urban growth and other land-use types during 2000-2050, and then, ESs supply was simulated with ecological assessment models under three landuse scenarios: business as usual, ecological priority, and economic priority. Key findings include: (1) Growth rates and land-use patterns are influenced by policies and natural environments, with an expected urban growth rate of 3%-6%, shifting from leapfrog to marginal growth post-2030; (2) Forests and grasslands primarily impact ESs; and (3) The EP scenario optimally balances sustainable urban development and ES enhancement.
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spelling doaj-art-b5454405775f4fcd8dca751152eb08282025-08-20T02:31:29ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015980200910.1051/e3sconf/202459802009e3sconf_icaeer2024_02009The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment ModelsLiang Youjia0Su Zichong1Liu Lijun2Wuhan University of TechnologyWuhan University of TechnologyWuhan Business UniversityUrban growth (UG) in the Chinese Loess Plateau has increased rapidly, impacting regional ecosystem services (ESs). Accurate evaluations of UG-ESs have become a challenge for the development of simulation models. To address long-term spatiotemporal dependencies in grid neighborhood interactions, this study enhances land-use simulation accuracy using a method combining machine learning algorithms and cellular automata (CL-CA) to model competitive relationship between urban growth and other land-use types during 2000-2050, and then, ESs supply was simulated with ecological assessment models under three landuse scenarios: business as usual, ecological priority, and economic priority. Key findings include: (1) Growth rates and land-use patterns are influenced by policies and natural environments, with an expected urban growth rate of 3%-6%, shifting from leapfrog to marginal growth post-2030; (2) Forests and grasslands primarily impact ESs; and (3) The EP scenario optimally balances sustainable urban development and ES enhancement.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/128/e3sconf_icaeer2024_02009.pdf
spellingShingle Liang Youjia
Su Zichong
Liu Lijun
The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
E3S Web of Conferences
title The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
title_full The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
title_fullStr The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
title_full_unstemmed The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
title_short The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
title_sort nexus of ug ess in the chinese loess plateau using cl ca and ecological assessment models
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/128/e3sconf_icaeer2024_02009.pdf
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