Ecosystem carbon dioxide, energy, and water fluxes were measured using eddy covariance in a fresh clear-cut surrounded by a mixed spruce-birch-aspen forest in the boreal zone of European Russia. Measurements were initiated in spring 2016 following timber harvest and continued for five months. The influence of surrounding forest on air flow and turbulent fluxes within the clear-cut were examined using a process-based two-dimensional (2D) hydrodynamic turbulent exchange model. The clear-cut was a source of CO 2 to the atmosphere prior to onset of vegetation growth during early spring. During this period the mean daily latent (LE) and sensible (H) heat fluxes were very similar and the Bowen ratio (b = H/LE) averaged about 1.0. Daily net ecosystem exchange of CO 2 (NEE) was around 0 gC m À2 d À1 following onset of vegetation growth from mid-spring through summer, while b declined to 0.6-0.7. There was strong diurnal variability in NEE, LE and H over the measurement period that was governed by solar radiation and temperature as well as the leaf area index (LAI) of regrown vegetation. Modeled vertical CO 2 and H 2 O fluxes along a transect that crossed the clear-cut and coincided with the dominate wind direction showed that the clear-cut strongly influenced turbulent fluxes within the atmospheric surface layer. Furthermore, modeled atmospheric dynamics suggested that the clear-cut had a large influence on turbulent fluxes in the downwind forest, but little impact on the upwind side. An aggregated approach including field measurements and process-based models can be a useful approach to estimate energy, water and carbon dioxide fluxes in non-uniform forest landscapes.

No abstract

Entropy production (σ) is a measure of ecosystem and landscape stability in a changing environment. We calculated the σ in the radiation balance for a well-drained spruce forest, a paludified spruce forest, and a bog in the southern taiga of the European part of Russia using long-term meteorological data. Though radiative σ depends both on surface temperature and absorbed radiation, the radiation effect in boreal ecosystems is much more important than the temperature effect. The dynamic of the incoming solar radiation was the main driver of the diurnal, seasonal, and intra-annual courses of σ for all ecosystems; the difference in ecosystem albedo was the second most important factor, responsible for seven-eighths of the difference in σ between the bog and forest in a warm period. Despite the higher productivity and the complex structure of the well-drained forest, the dynamics and sums of σ in two forests were very similar. Summer droughts had no influence on the albedo and σ efficiency of forests, demonstrating high self-regulation of the taiga forest ecosystems. On the contrary, a decreasing water supply significantly elevated the albedo and lowered the σ in bog. Bogs, being non-steady ecosystems, demonstrate unique thermodynamic behavior, which is fluctuant and strongly dependent on the moisture supply. Paludification of territories may result in increasing instability of the energy balance and entropy production in the landscape of the southern taiga.

Abstract. Climate warming in high latitudes impacts CO2 sequestration of northern peatlands through the changes in both production and decomposition processes. The response of the net CO2 fluxes between ecosystems and the atmosphere to the climate change and weather anomalies can vary across the forest and non-forest peatlands. To better understand the differences in CO2 dynamics at forest and non-forest boreal peatlands induced by changes in environmental conditions the estimates of interannual variability of the net ecosystem exchange (NEE), total ecosystem respiration (TER) and gross primary production (GPP) was obtained at two widespread peatland ecosystems – paludified spruce forest and adjacent ombrotrophic bog in the southern taiga of west Russia using 6-year of paired eddy covariance flux measurements. The period of measurements (2015–2020) was characterized by both positive and negative annual and growing season air temperature and precipitation anomalies. Flux measurements showed that in spite of the lower growing season TER (332…339 gC∙m−2) and GPP (442…464 gC∙m−2) rates the bog had a lower NEE (−132…−108) than the forest excepting the warmest and the wettest year of the period and was a sink of atmospheric CO2 in the selected years while the forest was a CO2 sink or source between years depending on the environmental conditions. Growing season NEE at the forest site was between −142 and 28 gC∙m−2, TER between 1135 and 1366 gC∙m−2 and GPP between 1207 and 1462 gC∙m−2. Annual NEE at the forest was between −62 and 145 gC∙m−2, TER between 1429 and 1652 gC∙m−2 and GPP between 1345 and 1566 gC∙m−2 respectively. Anomalously warm winter with sparse and thin snow cover lead to the increased GPP as well as lower NEE in early spring at forest and to the increased spring TER at the bog. Also, the shifting of the compensation point to the earlier dates at the forest and to the later dates at the bog following the warmest winter of the period was detected. This study suggest that the warming in winter can increase CO2 uptake of the paludified spruce forests of southern taiga in non-growing season.

В работе рассматривается применение метода сбалансированной идентификации для построения многофакторной функциональной зависимости нетто СО 2-обмена (NEE) от факторов внешней среды и ее дальнейшего использования для заполнения пропусков в рядах наблюдений за потоками СО 2 на верховом сфагновом болоте в Тверской области. Измерения потоков на болоте проводились с помощью метода турбулентных пульсаций в период с августа по ноябрь 2017 года. Из-за дождливых погодных условий и высокой повторяемости периодов с низкой турбулентностью на протяжении всего периода наблюдений доля пропусков в измерениях NEE на исследуемом болоте превысила 40 %. Разработанная для заполнения пропусков модель описывает NEE верхового болота как разность экосистемного дыхания (RE) и валовой первичной продукции (GPP) и учитывает зависимость этих параметров от приходящей суммарной солнечной радиации (Q), температуры почвы (T), дефицита упругости водяного пара (VPD) и уровня болотных вод (WL). Используемый для этой цели метод сбалансированной идентификации основан на поиске оптимального соотношения между простотой модели и точностью повторения измерений-соотношения, доставляющего минимум оценке погрешности моделирования, полученной методом перекрестного оценивания. Полученные численные решения обладают минимально необходимой нелинейностью (кривизной), что обеспечивает хорошие интерполяционные и экстраполяционные свойства построенных моделей, необходимые для восполнения недостающих данных по потокам. На основе проведенного анализа временной изменчивости NEE и факторов внешней среды была выявлена статистически значимая зависимость GPP болота от Q, T и VPD, а RE-от T и WL. При этом погрешность применения предложенного метода для моделирования среднесуточных данных NEE составила менее 10 %, а точность выполненных оценок NEE была выше, чем у модели REddyProc, учитывающей влияние на NEE меньшего числа внешних факторов. На основе восстановленных непрерывных рядов данных по NEE была проведена оценка масштабов внутрисуточной и межсуточной изменчивости NEE и получены интегральные оценки потоков СО 2 исследуемого верхового болота для выбранного летне-осеннего периода. Было показано, что если в августе 2017 года на исследуемом болоте скорость фиксации СО 2 растительным покровом существенно превышала величину экосистемного дыхания, то, начиная с сентября, на фоне снижения GPP исследуемое болото превратилось в устойчивый источник СО 2 для атмосферы. Ключевые слова: метод сбалансированной идентификации, метод турбулентных пульсаций, верховое болото, нетто-экосистемный обмен СО 2 , экосистемное дыхание, валовая первичная продукция Развитие модели А. В. Соколовым выполнено при финансовой поддержке РФФИ (грант 17-07-00027). Анализ данных пульсационных измерений, проведенный В. В. Мамкиным, поддержан грантом Российского научного фонда (РНФ 14-14-00956-П).