EconPapers    
Economics at your fingertips  
 

Climate data induced uncertainties in simulated carbon fluxes under corn and soybean systems

Varaprasad Bandaru

Agricultural Systems, 2022, vol. 196, issue C

Abstract: Net carbon balance on croplands depends on numerous factors (e.g., crop type, soil, climate) and their interactions. Agroecosystem models are generally used to assess cropland carbon fluxes because of their ability to capture the complex interactive effects of factors influencing carbon balance. For regional carbon flux simulations, generally gridded climate data sets are used because they offer data for each grid cell of the region of interest. However, studies consistently report uncertainties in climate datasets, which affect the accuracy of carbon flux simulations.

Keywords: CO2 fluxes; NEE; Agroecosystem model; Climate; Irrigation management; Corn; Soybeans (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X21002948
Full text for ScienceDirect subscribers only

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:eee:agisys:v:196:y:2022:i:c:s0308521x21002948

DOI: 10.1016/j.agsy.2021.103341

Access Statistics for this article

Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:agisys:v:196:y:2022:i:c:s0308521x21002948