Soil CO2 emission from the boreal Siberian forests: seasonal changes and modelling

Theme 1. Environmental protection
Session Name 1.9 Climate change, forests and other ecosystems health in the Arctic region
Datetime Sep 07, 2018 09:45 AM - 10:00 AM (UTC +3)
Presentation Type Oral
Author(s) Anastasia Makhnykina (Siberian Federal University, Russian Federation), Anatoly Prokushkin (V.N. Sukachev Institute of forest, Russian Federation), Sergey Verkhovets (Siberian Federal University, Russian Federation)
Abstract text

The soil is a major biospheric reservoir for carbon, containing twice as much carbon as the atmosphere. Small changes in soil respiration can produce a great effect on CO2 atmospheric concentrations and provide a potential positive feedback between increasing temperature and enhanced soil respiration that may accelerate global warming. Existing models are inadequate to explain the spatial variations of soil respiration between sites. It is necessary to incorporate both temporal and spatial variation of soil respiration into the model in order to scale-up the chamber measurements of soil respiration to ecosystem level.

In this research we aimed: (1) to estimate the seasonal changes in soil CO2 emission; (2) to investigate the impact of meteorological variables; (3) to model the seasonal changes in soil CO2 emission for different underline surfaces. The research was carried out in the taiga forests in Central Siberia (60°N, 90°E), Russia with different underline surfaces: lichen, moss, mixed, destroyed surface.

The biggest input to the seasonal soil CO2 emission contributed mixed forest. Lichen and feathermoss pine forests are the most resistant to the changes of meteorological conditions during growing season. The dependence between soil respiration and meteorological variables can change during the year and growing season. To model the seasonal efflux, it was taken direct measurements for each underline surfaces and combined with the data from eddy covariance flux tower. Including the specific features for each forest type allowed to provide more reliable data about the changes there.

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