Multi-Scenario Simulation of the Production-Living-Ecological Spaces in Sichuan Province Based on the PLUS Model and Assessment of Its Ecological and Environmental Effects

Yu Fu, Qian Li (), Julin Li, Kun Zeng, Liangsong Wang and Youhan Wang ()
Additional contact information
Yu Fu: The Engineering Laboratory of Land and Resources Utilization in Hilly Areas, China West Normal University, Nanchong 637009, China
Qian Li: The Engineering Laboratory of Land and Resources Utilization in Hilly Areas, China West Normal University, Nanchong 637009, China
Julin Li: The Engineering Laboratory of Land and Resources Utilization in Hilly Areas, China West Normal University, Nanchong 637009, China
Kun Zeng: The Engineering Laboratory of Land and Resources Utilization in Hilly Areas, China West Normal University, Nanchong 637009, China
Liangsong Wang: College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
Youhan Wang: The Engineering Laboratory of Land and Resources Utilization in Hilly Areas, China West Normal University, Nanchong 637009, China

Sustainability, 2024, vol. 16, issue 23, 1-20

Abstract: Research investigates the transformations in production–living–ecological spaces (PLES) across diverse scenarios and their ecological effects, with the aim of offering advice for environmental preservation and long-term growth in Sichuan Province. Utilizing the PLUS model, we simulated the PLES configuration in Sichuan Province for the year 2030 and subsequently evaluated its ecological impacts using an ecological effect assessment model. The findings reveal that: (1) population and GDP are key drivers of the expansion of Industrial-Production Spaces (IMPS), Urban-Living Spaces (ULS), and Rural-Living Spaces (RLS), whereas altitude has a crucial influence on shaping the expansion of Agricultural-Production Spaces (APS), Forest-Ecological Spaces (FES), Grassland-Ecological Spaces (GES), Water-Ecological Spaces (WES), and Other-Ecological Spaces (OES); (2) significant changes in PLES are observed in Sichuan Province by 2030 across four scenarios, with notable distinctions between the production priority scenario and the other three; (3) variations in ecological quality exist among the four scenarios concerning PLES; (4) the reasons behind better or worse ecological conditions differ across scenarios. The research demonstrates that the PLUS model can effectively simulate PLES in Sichuan Province under multiple scenarios for 2030, offering various potential development pathways and their corresponding ecological effects, thereby aiding in the selection of optimal development pathways.

Keywords: production-living-ecological spaces (PLES); multi-scenario simulation; ecological environmental effects; patch-generating land use simulation model (PLUS model); Sichuan province (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/23/10322/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/23/10322/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:23:p:10322-:d:1529369

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().