The Nexus of UG-ESs in the Chinese Loess Plateau using CL-CA and Ecological Assessment Models
Year: 2024
Type: article
Abstract: \nUrban 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.\n
Authors: Youjia Liang, Zichong Su, Lijun Liu
Institutions: Wuhan University of Technology, Wuhan Business University
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6903471435
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