EconPapers    
Economics at your fingertips  
 

Responses of Carbon Sink of Ecosystem Vegetation to Land Use Changes in Kunming City

Bozhou Gong, Haiying Peng and Xinyou Lui

Asian Agricultural Research, 2023, vol. 15, issue 05

Abstract: [Objectives] To analyze the relationship between the land use pattern and the carbon sequestration level of the ecosystem vegetation in Kunming City, and to provide a certain reference for optimizing the land ecological use pattern and scientific carbon reduction and sequestration. [Methods] Based on remote sensing data, meteorological data, vegetation data and soil data, the Carnegie-Ames-Stanford Approach (CASA) was adopted to estimate the vegetation net primary productivity (NPP) in Kunming during 2005-2020, and then the vegetation carbon sink was calculated through the plant mortality model. Besides, it established the land use transfer matrix of Kunming City, and analyzed the change characteristics of the carbon sink of ecosystem vegetation in Kunming City under the influence of land use changes. [Results] During 2005-2020, the water area, construction land and unused land area in Kunming increased by 43.52, 710.51 and 2.8 km2, respectively; farmland, woodland and grassland decreased by 269.72, 140.20 and 347.03 km2, respectively; farmland, woodland, grassland, water area, construction land and unused land caused a total of 58 212.72 t of vegetation net carbon sink loss in land conversion, accounting for 14.88%, 25.23%, 11.95%, 10.58%, 37.09%, and 0.26%, respectively.[Conclusions] This study is expected to help to improve the ecological carbon sequestration capacity of Kunming and promote the sustainable development of land resources.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/341797/files/5.PDF (application/pdf)

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:ags:asagre:341797

DOI: 10.22004/ag.econ.341797

Access Statistics for this article

More articles in Asian Agricultural Research from USA-China Science and Culture Media Corporation
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-19
Handle: RePEc:ags:asagre:341797