Значение пространственного и временного масштаба при анализе факторов почвенной эмиссии СО2 в лесах Валдайской возвышенности

Лесоведение. 2019. № 1. С. 29–37.

Карелин Д., Азовский А., Куманяев А., Zamolodchikov D.

Statistical analysis of long-term series of soil CO2 fluxes shows how spatiotemporal resolution of raw field data could affect estimates of contribution and prediction accuracy of this important component of carbon balance. The monitoring data have been collected in boreal spruce forest in Valday District of Novgorod Oblast’ during 2009–17. Contribution of spatial and temporal components to dispersion of CO2 emission measured monthly over several years along the 500 m transect turn out to be similar, 47% and 53%, respectively. Contrarily, contribution of spatial variability is significantly less than temporal variability (14–33% and 33–49%, respectively) over an inter-annual interval. Proportion of variance of soil respiration predicted by regression models, basing on temperature and topsoil moisture content (0–10 cm horizon), depends on the spatial and temporal scales as well. Its value ranges from 27 to 72%, depending on the scale of analysis of the complete massive of the data. Our results provoke a critical look to a widespread practice of applying regression relationships built up on a large-scale field data to geo-information models of a lower scale.

Keywords: soil CO2 fluxes, boreal spruce forest, эмиссия СО2 из почвы, южнотаежный ельник