Spatiotemporal Evolution and Multi-Scenario Prediction of Carbon Storage in the GBA Based on PLUS–InVEST Models

Ruei-Yuan Wang, Huina Cai, Lingkang Chen and Taohui Li ()
Additional contact information
Ruei-Yuan Wang: Department of Geographical Science, Guangdong University of Petrochemical Technology (GDUPT), Maoming 525000, China
Huina Cai: Department of Geographical Science, Guangdong University of Petrochemical Technology (GDUPT), Maoming 525000, China
Lingkang Chen: Department of Geographical Science, Guangdong University of Petrochemical Technology (GDUPT), Maoming 525000, China
Taohui Li: Key Laboratory of Plateau Geographic Processes and Environment Change of Yunnan Province, Faculty of Geography, Yunnan Normal University, Kunming 650500, China

Sustainability, 2023, vol. 15, issue 10, 1-19

Abstract: In the context of sustainable development and dual-carbon construction, in order to clarify the future changes in land use and carbon storage in the GBA, this study used the PLUS and InVEST models as well as Geoda software to simulate and predict the spatial development pattern of land use as well as the changes in carbon stocks in the GBA in 2030 under multiple scenarios. The results show that (1) From 1990 to 2020, carbon storage decreased year by year. (2) In 2030, except for the EPS, the future carbon storage prediction values of the remaining scenarios are lower than those in 2020, especially the carbon storage prediction value under the EDS, which is the lowest at 8.65 × 10 8 t. (3) The spatial distribution of carbon storage in the GBA has significant spatial heterogeneity. The high-value areas of carbon storage are distributed in the east and west wings as well as southwest of the GBA, while the low-value areas are concentrated in the middle and east. The research results can provide a reasonable scientific basis for the territorial space resource planning of the GBA under the goal of “dual carbon”.

Keywords: the Guangdong–Hong Kong–Macao Greater Bay Area (GBA); carbon storage; land use; PLUS–InVEST model; multi-scenario simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/10/8421/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/10/8421/ (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:15:y:2023:i:10:p:8421-:d:1152952

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 ().