Abstract
This study combines a literature survey and field observation data in an ad initio attempt to construct a process-based model of methane sink in upland soils including both the biological and physical aspects of the process. Comparison is drawn between the predicted sink rates and chamber measurements in several forest and grassland sites in the southern part of West Siberia. CH4 flux, total respiration, air and soil temperature, soil moisture, pH, organic content, bulk density and solid phase density were measured during a field campaign in summer 2014. Two datasets from literature were also used for model validation. The modeled sink rates were found to be in relatively good correspondence with the values obtained in the field. Introduction of the rhizospheric methanotrophy significantly improves the match between the model and the observations. The Q10 values of methane sink observed in the field were 1.2–1.4, which is in good agreement with the experimental results from the other studies. Based on modeling results, we also conclude that soil oxygen concentration is not a limiting factor for methane sink in upland forest and grassland ecosystems.
Highlights
The field of greenhouse gas exchange has been coming into prominence since the 1960s, as the scientific community faced the need to predict climate change that is tightly linked with the evolution of the Earth’s atmosphere (Solomon 2007)
This study presents an ad initio attempt to construct a process-based model of methane sink in upland soils including both the biological and physical aspects of this problem without any calibration of model parameters
The values of the weighted medians (WM) of methane flux, medians of TR and the mean magnitudes of various ecological parameters are presented in table 3 (see appendix E for the full overview of results)
Summary
The field of greenhouse gas exchange has been coming into prominence since the 1960s, as the scientific community faced the need to predict climate change that is tightly linked with the evolution of the Earth’s atmosphere (Solomon 2007). It was mainly the necessity to estimate these changes for the need of long-term planning of human activities that has sparked high interest in the quantification of gas exchange in natural ecosystems, in soils (Heimann 2011, Pachauri et al 2014). Is a potent greenhouse gas, and the data on net CH4 fluxes is important for the understanding of the climate system. It strongly influences the photochemistry of the atmosphere (Ramanathan et al 1987, Cao et al 1995). The attention to methane budgets has been growing, as it was found that the radiative forcing of the atmospheric methane is second only to CO2 (Myhre et al 2013)
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