Response of taiga ecosystems to extreme weather conditions and climate anomalies

Vygodskaya, N. N.; Varlagin, Andrej; Kurbatova, Yu. A.; Olchev, Alexander; Panferov, O.; Tatarinov, Fyodor; Shalukhina, N.

doi:10.1134/s0012496609060258

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…In mixed forests and evergreen broadleaf forests (Figure 8a), as well as in deciduous broadleaf and needleleaf forests (Figure 9a), positive NEE flux anomalies above STD, corresponding to high CO2 release, also dominated under extremely high temperatures, but the percentage of days was lower. The lower effect of high temperatures on plant photosynthesis and CO2 uptake in these forests compared to the evergreen needleleaf forests may be due to the higher sensitivity and vulnerability of dark coniferous forest stands to higher temperatures and positive temperature anomalies [9,[63][64][65][66]. Thus, it can be expected that the mixed and broadleaf tree species had higher drought and heat tolerance and were less sensitive to heat anomalies.…”

Section: Variation In Nee and Le Flux In Warm Seasonmentioning

confidence: 99%

The Response of Daily Carbon Dioxide and Water Vapor Fluxes to Temperature and Precipitation Extremes in Temperate and Boreal Forests

Gushchina,

Tarasova,

Satosina

et al. 2023

Climate

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Forest ecosystems in the mid-latitudes of the Northern Hemisphere are significantly affected by frequent extreme weather events. How different forest ecosystems respond to these changes is a major challenge. This study aims to assess differences in the response of daily net ecosystem exchange (NEE) of CO2 and latent heat flux (LE) between different boreal and temperate ecosystems and the atmosphere to extreme weather events (e.g., anomalous temperature and precipitation). In order to achieve the main objective of our study, we used available reanalysis data and existing information on turbulent atmospheric fluxes and meteorological parameters from the global and regional FLUXNET databases. The analysis of NEE and LE responses to high/low temperature and precipitation revealed a large diversity of flux responses in temperate and boreal forests, mainly related to forest type, geographic location, regional climate conditions, and plant species composition. During the warm and cold seasons, the extremely high temperatures usually lead to increased CO2 release in all forest types, with the largest response in coniferous forests. The decreasing air temperatures that occur during the warm season mostly lead to higher CO2 uptake, indicating more favorable conditions for photosynthesis at relatively low summer temperatures. The extremely low temperatures in the cold season are not accompanied by significant NEE anomalies. The response of LE to temperature variations does not change significantly throughout the year, with higher temperatures leading to LE increases and lower temperatures leading to LE reductions. The immediate response to heavy precipitation is an increase in CO2 release and a decrease in evaporation. The cumulative effect of heavy precipitations is opposite to the immediate effect in the warm season and results in increased CO2 uptake due to intensified photosynthesis in living plants under sufficient soil moisture conditions.

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Section: Variation In Nee and Le Flux In Warm Seasonmentioning

confidence: 99%

The Response of Daily Carbon Dioxide and Water Vapor Fluxes to Temperature and Precipitation Extremes in Temperate and Boreal Forests

Gushchina,

Tarasova,

Satosina

et al. 2023

Climate

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“…We use this technique to obtain the final expression for the turbulence scale: (13) Only one constant C is left in formula (13), because the required scale near the surface must coincide with the scale , which takes into account only the surface properties not depending on the stratification and ABL height.…”

Section: Correction Of the Gradient Of Mean Velocity Near The Upper Amentioning

confidence: 99%

“…The dimensionless gradients calculated from measurement data using the normalization to the scale (formulas (8)- (13)) are shown in Figs. 1d-1f.…”

Section: Normalization To the Turbulence Scalementioning

confidence: 99%

“…This is largely associated with the study of the biogeochemical cycle, i.e., the processes of momentum, heat, and matter exchange between the atmosphere and vegetation [12]. In view of the strong dependence of heat, carbon dioxide, and water-vapor transfer on environmental conditions; the species composition and structure of vegetation; and the biophysical and biochemical processes occurring in plants and soil, one can regard the turbulent exchange as an indicator of the state, development, and growth of plants [13]. Studies of the structure of atmospheric turbulence in forests and over forest canopy are needed not only for analyzing the biospheric processes and using them adequately in models of global climate changes [14], but also for calculating the transport of aerosols and gaseous admixtures [15], forecasting adverse weather phenomena [16], developing analytical and numerical models of the atmospheric boundary layer dynamics [6], and advancing windpower engineering [17].…”

Section: Introductionmentioning

confidence: 99%

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On the Applicability of Similarity Theory for the Stable Atmospheric Boundary Layer over Complex Terrain

Barskov

Glazunov

Репина

et al. 2018

Izv. Atmos. Ocean. Phys.

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Micrometeorological measurements in the atmospheric boundary layer over a hilly forest terrain have been made on a meteorological tower at several levels from the forest canopy top to a height that exceeds the height of trees almost seven times. A semiempirical length scale depending on the local topography features and the underlying surface type has been proposed and calculated. This scale has been shown to allow the universal functions of the Monin-Obukhov similarity theory to be corrected for a stable atmospheric boundary layer over complex terrain without substantial modification when compared to the universal functions over a homogeneous surface with small roughness elements. This approach can be used to refine the methods for calculating turbulent momentum fluxes from profile measurements over spatially inhomogeneous landscapes.

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“…A number of research studies focusing on both SR measurements and applications of empirical SR models highlight a strong dependency of SR on the following parameters: (i) temperature [24,[30][31][32][33] due to change in microbial activity; (ii) soil moisture [24,[34][35][36][37] due to change in soil porosity and accessibility of atmospheric oxygen; (iii) precipitation [20,24,[38][39][40][41][42] as a simpler way for the soil-moisture estimation; (iv) change of water level in soil [26,43,44] blocking below-water-level SOC oxidation; and (v) allocation of above-ground biomass [23,45]. Several studies link changes in the amount of SOC stored in ecosystem soils to differences in SR [1,8,[46][47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Soil Temperature, Organic-Carbon Storage, and Water-Holding Ability Should Be Accounted for the Empirical Soil Respiration Model Selection in Two Forest Ecosystems

Kivalov,

Lopes de Gerenyu,

Khoroshaev

et al. 2023

Forests

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Soil respiration (SR) is a main component of the carbon cycle in terrestrial ecosystems, and being strongly affected by changes in the environment, it is a good indicator of the ecosystem’s ability to cope with climate change. This research aims to find better empirical SR models using 25-year-long SR monitoring in two forest ecosystems formed on sandy Entic Podzol and loamy Haplic Luvisol. The following parameters were considered in the examined models: the mean monthly soil or air temperatures (Tsoil or Tair), the amount of precipitation during the current (P) and the previous (PP) months, and the storage of soil organic carbon (SOC). The weighted non-linear regression was used for model parameter estimations for the normal, wet, and dry years. To improve the model resolutions by magnitude, we controlled the slope and intercept of the linear model comparison between the measured and modeled data through the change in R0—SR at zero soil temperature. The mean bias error (MBE), root-mean-square error (RMSE), and determination coefficient (R2) were used for the estimation of the goodness of model performances. For the sandy Entic Podzol, it is more appropriate to use the models dependent on SOC (TPPC). While for the loamy Haplic Luvisol, the Raich–Hashimoto model (TPPrh) with the quadratic Tsoil or Tair dependency shows the better results. An application of Tsoil for the model parameterization gives better results than Tair: the TPPC model was able to adequately describe the cold-period SR (Tsoil ≤ 2 °C); the TPPrh model was able to avoid overestimations of the warm-period SR (Tsoil > 2 °C). The TPPC model parameterized with Tsoil can be used for the quality control of the cold-period SR measurements. Therefore, we showed the importance of accounting for SOC and the water-holding ability when the optimal SR model is chosen for the analysis.

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Response of taiga ecosystems to extreme weather conditions and climate anomalies

Cited by 8 publications

References 10 publications

The Response of Daily Carbon Dioxide and Water Vapor Fluxes to Temperature and Precipitation Extremes in Temperate and Boreal Forests

The Response of Daily Carbon Dioxide and Water Vapor Fluxes to Temperature and Precipitation Extremes in Temperate and Boreal Forests

On the Applicability of Similarity Theory for the Stable Atmospheric Boundary Layer over Complex Terrain

Soil Temperature, Organic-Carbon Storage, and Water-Holding Ability Should Be Accounted for the Empirical Soil Respiration Model Selection in Two Forest Ecosystems

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