Assesment of СО2 fluxes in the typical steppe of southern Western Siberia

Authors

  • А.А. Bondarovich Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation
  • D.V. llyasov Yugra State University, 16, Chekhova str., 628012, Khanty-Mansiysk, Russian Federation
  • А.А. Kaverin ) Yugra State University, 16, Chekhova str., 628012, Khanty-Mansiysk, Russian Federation
  • D.V. Kirillov Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation
  • Е.Уu. Mordvin Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation
  • А.l. Revyakin Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation
  • А.А. Shibanoval Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation
  • Т.M Kopytina Altai State University, 61, Lenina avenue, 656049, Barnaul, Russian Federation

Keywords:

Carbon dioxide, summer fluxes, dry grassland, regional natural monument, south of Western Siberia, Kulunda Plain, Altai Krai.

Abstract

For the first time, net ecosystem exchange (NEE) and ecosystem respiration (Reco) were measured using the chamber method within the typical steppe of the Kulunda Plain, West Siberia, (Altai Krai), and gross primary production (GPP) was calculated. Тo identify the relationship between CO2 fluxes and environmental factors, the following parameters were also measured: aboveground phytomass (AGP), photosynthetically active radiation (PAR), air temperature, soil temperature and soil moisture. Тhe median (1Q, 3Q) NEE, Reco, and GPP were -103 (-152, -66), 90 (74, 105), and -200 (-251, -151) mg C m-2 h-1,

respectively. Тhe key factors of variability in NEE and GPP were aboveground phytomass, while for Reco - soil moisture content in the 100 cm layer. Based on the obtained data, a neural network was successfully trained using the Levenberg-

train

 

valid

 

test

 

Marquardt algorithm (R2         0.9, R2              0.9, R2            0.8 MSEtrain       335,

MSEvalid   647, MSEtest   360 Ntrain   50 Nvalid    11 Ntest    11), which will be used in the future to scale carbon fluxes in space and time.

Published

2026-07-27