Estimation of Corn Net Primary Productivity and Carbon Sequestration Based on the CASA Model: A Case Study of the Fen River Basin

Zhiqiang Zhang, Lijuan Huo, Yuxin Su, He Shen and Gaiqiang Yang ()
Additional contact information
Zhiqiang Zhang: School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
Lijuan Huo: School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
Yuxin Su: School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China
He Shen: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710062, China
Gaiqiang Yang: School of Environment and Resources, Taiyuan University of Science and Technology, Taiyuan 030024, China

Sustainability, 2024, vol. 16, issue 7, 1-18

Abstract: The utilization of remote sensing technology to assess changes in crop net primary productivity (NPP), biomass, and carbon sequestration within the Fen River Basin, a crucial agricultural region in China, is important for achieving agricultural modernization, enhancing ecological environment quality, and obtaining carbon neutrality objectives. This study employed satellite remote sensing and the Carnegie–Ames–Stanford approach (CASA) model as research methods to investigate the temporal and spatial distribution characteristics of corn NPP in the Fen River Basin. Correlation analysis was conducted to examine the response of corn NPP to various environmental factors in the region, while aboveground biomass and carbon sequestration of corn were estimated using a biomass inversion model driven by NPP and principles of photosynthesis in green plants. The findings revealed that, from a temporal perspective, corn NPP in the Fen River Basin exhibited a unimodal variation pattern, with an average value of 368.65 gC/m 2 . Spatially, the corn NPP displayed a discernible differentiation pattern, with the highest values primarily observed in the middle reaches of the Fen River Basin. Throughout the spatial and temporal variations in corn NPP during 2011–2020, the carbon sequestration capacity of corn exhibited an upward trend, particularly since 2017. The corn NPP displayed a positive correlation with temperature and precipitation. The response to solar radiation was mildly negative and a mildly positive correlation. In 2020, the aboveground biomass and carbon sequestration of corn followed a normal distribution, with the highest values concentrated in the northwestern part of the lower Fen River.

Keywords: CASA model; corn NPP; climatic factor; biomass; carbon sequestration amount (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:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/7/2942/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/7/2942/ (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:7:p:2942-:d:1368662

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 ().