CO2 and H2O exchange in the forest ecosystems of Southern Taiga under climate changes

Olchev, Alexander; Deshcherevskaya, Olga; Kurbatova, Yu. A.; Молчанов, А. Г.; Novenko, Elena; Pridacha, V. B.; Sazonova, T. A.

doi:10.1134/s0012496613030216

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…Функции, определяющие динамику воды: устьичная проводимость (Ust) как функция радиации (Q) и дефицита упругости водяного пара (VPD), функция регулирования устьичной проводимости стволе (Reg) в зависимости от дефицита воды в стволе (WD), функция скорости поступление воды из почвы (FWF) в зависимости от дефицита воды в стволе (WD). Построенная в итоге модель соответствует современным представлениям о регуляции влаги в растении [10][11][12][13][14][15][16][17][18][19][20]22], она показала хорошее качественное совпадение с независимыми экспериментальными данными.…”

Section: динамическая модель Ust(qvpd)•reg(wd)andfwf(wd)unclassified

“…Построение такой модели поможет решению одной из актуальных проблем выявления механизмов устойчивости лесных экосистем к внешним воздействиям, включая оценку чувствительности к изменениям климата и антропогенной деятельности. Прогноз реакции растений на эти факторы имеет первостепенное значение для прогнозирования последствий воздействия глобальных климатических процессов [10,11]. Надежными индикаторами состояния природных экосистем и растений, позволяющими оценить не только динамику их изменения и развития, но также и охарактеризовать их устойчивость, являются составляющие водного баланса растений, в частности, транспирации [12,13].…”

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Technology of Balanced Identification for Selection of Pine Transpiration Mathematical Model

Соколов¹,

Bolondinsky²,

Voloshinov³

2019

Math.Biol.Bioinf.

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The application of numerical technology for evaluation the correspondence of a mathematical model and experimental data via the balanced (optimization) identification method is demonstrated with comparing various models of pine transpiration. A quantitative measure of the model evaluation is the cross-validation error. Current implementation of the technology allow the researcher to formulate the computing task in a text file, which contains: mathematical model formulas (including differential and/or integration equations); declarations of parameters and/or functions to be identified; data source (with experimental measurements) and additional settings of the numerical method. As a result, the software package returns unknown parameters, functions, and modeling errors. This technology is successfully used to various models in biology, medicine, physics, etc.

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Section: динамическая модель Ust(qvpd)•reg(wd)andfwf(wd)unclassified

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Technology of Balanced Identification for Selection of Pine Transpiration Mathematical Model

Соколов¹,

Bolondinsky²,

Voloshinov³

2019

Math.Biol.Bioinf.

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“…Boreal and temperate forests cover large areas of Northern Eurasia and are expected to be very sensitive to projected climate warming (Olchev et al 2009(Olchev et al , 2013. Despite numerous studies of past temperature variability, temporal change in surface moisture conditions and effects on vegetation cover are poorly-constrained.…”

Section: Introductionmentioning

confidence: 99%

Climatic moisture conditions in the north-west of the Mid-Russian Upland during the Holocene

Novenko

Tsyganov

Babeshko

et al. 2019

GES

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This study aimed to reconstruct the climatic moisture conditions of the Mid- Russian Upland through the Holocene. Surface moisture conditions in the study region were inferred from published pollen records from the Klukva peatland, in the north-west of the Mid-Russian Upland. Three climatic indices were derived from previously- published reconstructions of mean annual temperature and precipitation: the Climate Moisture Index, the Aridity Index and the Budyko Dryness Index. A simple modeling approach to reconstruct annual potential evapotranspiration and net radiation was developed and used to estimate the indices for different periods of the Holocene. The moisture indices were compared with independent proxies of climate moisture such as peatland surface wetness, reconstructed from testate amoebae and regional fire activity, reconstructed from charcoal. Results show that the surface moisture conditions in the study region were characterized by large variability. Periods of mild temperature and moderately wet conditions were followed by dry periods, which resulted in significant changes in palaeoenvironments. The method developed for calculation of potential evapotranspiration and indices of surface moisture conditions could be a useful tool for climate reconstructions. Our results demonstrate the detailed and nuanced palaeoclimate data which can be derived from pollen data.

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“…It was assumed that the possible changes of LAI in the future are due to changes of climatic variables and CO 2 proportional to the changes in Net Primary Production (NPP)-LAI future ≈NPP future / NPP present ·LAI present . Unknown values of LAI future were found using the iteration algorithm from data set including results of NPP model estimations under different combinations of LAI (Olchev et al 2013).…”

Section: Scenarios Of Climate and Vegetation Changesmentioning

confidence: 99%

“…Forests capture precipitation, control transpiration processes and regulate river drainage. Moreover, forests influence the radiation and energy budget of the land surface by decreasing the diurnal amplitude of the air temperature and protecting the soil surface from overheating or overcooling (Olchev et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Effects of Climate Changes on Net Ecosystem Exchange of CO<sub>2</sub> and Evapotranspiration of a Tropical Rain Forest

Olchev

Gravenhorst²

2015

Geog. Rev. Japan B

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The possible changes of Net Ecosystem Exchange (NEE) of CO 2 and evapotranspiration (E) of a tropical rain forest due to climate change are described using a process-based CO 2 /H 2 O exchange model (Mixfor-SVAT). Projections of future climate conditions are provided by a global ECHAM5 model for the Special Report on Emission Scenarios (SRES) A1B. As a key region for this study, the tropical rain forest situated in Lore-Lindu National park in Central Sulawesi in Indonesia was selected. Results of the modeling experiments showed a very high sensitivity of NEE and E of this tropical rain forest to both the projected climate changes and the possible reduction of nutrients in plants due to the impact of gradually elevated CO 2 in the air and depletion of soil nutrient resources. Under optimal conditions for carbon assimilation and biomass production, i.e. when the CO 2 increase in the air is strictly balanced with nutrient supply, the projected climate changes will lead to increase of Gross Primary Production (GPP) by 21.3%, insignificant change of annual NEE and decrease of E by 18%. The ratio of E and precipitation, which determines the surface moisture conditions, decreases by 29.9% (from 0.78 to 0.55). It can lead to increases of soil wetness, ground water level and surface runoff in the study area in future. Limited nutrient supply can significantly reduce GPP, NEE and E. In particular the decrease of nutrient supply of about 20% can completely offset the possible GPP increase due to projected increases of temperature and CO 2 concentration in the air.

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CO2 and H2O exchange in the forest ecosystems of Southern Taiga under climate changes

Cited by 8 publications

References 5 publications

Technology of Balanced Identification for Selection of Pine Transpiration Mathematical Model

Technology of Balanced Identification for Selection of Pine Transpiration Mathematical Model

Climatic moisture conditions in the north-west of the Mid-Russian Upland during the Holocene

Effects of Climate Changes on Net Ecosystem Exchange of CO<sub>2</sub> and Evapotranspiration of a Tropical Rain Forest

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