Erratum to: A Mobile Measurement System for the Coupled Monitoring of Atmospheric and Soil Parameters

Базаров, А. В.; Badmaev, N. B.; Kurakov, S. A.; Gonchikov, B. M. N.

doi:10.3103/s1068373918110110

Cited by 2 publications

(3 citation statements)

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“…The meteo data for the period of measurements were taken from the Bakchar weather station (available at http://meteo.ru/, URL accessed on 1 December 2022). The air temperature (T) and precipitation (P) were taken from meteo station Bakchar (located at a distance of 33 km from our study site; N 57 • 00 26.8 , E 82 • 03 34.3 ), and the groundwater table was measured with the sensor system described in [25]. The solar radiation was measured directly on-site with a BISR solar radiation meter.…”

Section: Methodsmentioning

confidence: 99%

Soil Water Regime, Air Temperature, and Precipitation as the Main Drivers of the Future Greenhouse Gas Emissions from West Siberian Peatlands

Mikhalchuk,

Kharanzhevskaya,

Burnashova

et al. 2023

Water

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This modeling study intended to solve a part of the global scientific problem related to increased concentrations of carbon dioxide in the atmosphere via emissions from terrestrial ecosystems that, along with anthropogenic emissions, make notable contributions to the processes of climate change on the planet. The main stream of CO2 from natural terrestrial ecosystems is related to the activation of biological processes, such as the production/destruction of plant biomass. In this study, the Wetland-DNDC computer simulation model with a focus on nitrogen and carbon biogeochemical cycles was used to study the effect of hydrothermal conditions on greenhouse gas fluxes in West Siberian peatlands. The study was implemented on the site of the world’s largest pristine wetland/peatland system, the Great Vasyugan Mire (GVM). The study was carried out based on data from permanent measurements at meteo stations and our own in situ measurements of hydrological and thermal parameters on sites, which allowed for testing different scenarios of changes in environmental conditions (temperature, precipitation, groundwater level) together with a change in GHG fluxes. The study revealed the air temperature and the level of groundwater as the main drivers controlling CO2 fluxes. The study of different scenarios of change in annual air temperature revealed the threshold of change in the wetland/peatland ecosystem from carbon sink to carbon source to the atmosphere to happen with an increase in the average annual air temperature by 3 °C with reference to the average annual air temperature values in 2019. Also, we found that the wetland/peatland ecosystem turned to act as an active carbon sink with about 7 cm increase in annual groundwater level, compared with its base level of −21 cm.

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Section: Methodsmentioning

confidence: 99%

Soil Water Regime, Air Temperature, and Precipitation as the Main Drivers of the Future Greenhouse Gas Emissions from West Siberian Peatlands

Mikhalchuk,

Kharanzhevskaya,

Burnashova

et al. 2023

Water

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“…Solar radiation was measured directly in the study area of the Great Vasyugan Mire using a BISR solar radiation meter. Temperature data for the peat deposits in the layer up to 1 m were obtained using in situ temperature sensors [42]. The data on the height of snow cover were obtained from ground areal snow measurements in the study area during the period of maximum snow accumulation in March 2019.…”

Section: Sampling Designmentioning

confidence: 99%

“…The groundwater level (WTL) observations within the GVM were carried out using an autonomous differential pressure sensor [42], installed in a specially designed PVC pipe (piezometer). Measurements of water levels within the GVM were carried out at intervals of 4 h. Peat moisture was determined by weight method.…”

Section: Sampling Designmentioning

confidence: 99%

Assessment of Greenhouse Gas Emissions into the Atmosphere from the Northern Peatlands Using the Wetland-DNDC Simulation Model: A Case Study of the Great Vasyugan Mire, Western Siberia

et al. 2022

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The peatlands of Western Siberia occupy an area of about 1 million km2 and act as important regulator of carbon exchange between the earth and the atmosphere. Extrapolation of the results of discrete field measurements of CO2 fluxes in bog ecosystems to such a territory is a difficult task, and one of the ways to overcome it is to use a simulation model such as DNDC. However, using this model with a specific territory requires ground verification to confirm its effectiveness. Here, we tested the DNDC model on the largest pristine bog ecosystem of the world, the Great Vasyugan Mire (GVM). The GVM of western Siberia is virtually undisturbed by anthropogenic activity and is the largest bog of Northern Eurasia (53,000 km2). Based on various ground-based observations, the performance of the Wetland-DNDC model was demonstrated (Thale coefficient 0.085 and R2 = 0.675 for CO2). Model input parameters specific to the GVM were constrained and model sensitivity to a wide range of input parameters was analyzed. The estimated annual terrestrial carbon fluxes in 2019 from the GVM test site are mainly controlled by plant respiration (61%) and forest floor degradation (38%). The net CO2 emission flux was 8600 kg C ha−1 year−1, which is in line with estimates from other independent studies.

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Erratum to: A Mobile Measurement System for the Coupled Monitoring of Atmospheric and Soil Parameters

Cited by 2 publications

References 0 publications

Soil Water Regime, Air Temperature, and Precipitation as the Main Drivers of the Future Greenhouse Gas Emissions from West Siberian Peatlands

Soil Water Regime, Air Temperature, and Precipitation as the Main Drivers of the Future Greenhouse Gas Emissions from West Siberian Peatlands

Assessment of Greenhouse Gas Emissions into the Atmosphere from the Northern Peatlands Using the Wetland-DNDC Simulation Model: A Case Study of the Great Vasyugan Mire, Western Siberia

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