Net primary production of Ural forests: Methods and results of automated estimating

Усольцев, В. А.; Воронов, М. П.; Часовских, В. П.

doi:10.1134/s1067413611050122

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…The problems of biodiversity (Mirkin et al, 2014;Sannikov et al, 2017;Ivanova, 2019) and forest productivity (Usoltsev et al, 2011(Usoltsev et al, , 2019Schepaschenko et al, 2017), ecology of individual species of woody plants ( Kalashnikova & Makhnev, 2013;Maiti et al, 2016;Sannikov et al, 2018), history of vegetation development (Panova & Antipina, 2016), reforestation and stand formation (Tantsyrev & Sannikov, 2008;Menshchikov et al, 2013;Fomin et al, 2015;Zalesova et al, 2019) have been actively discussed in the literature for the Ural Mountains, but our study on the adaptation of forest ecosystem vegetation to different moisture regimes is one of the first for taiga mountain forests in Russia. It has estimated the stability and trends of changing species composition and productivity when changing the moisture regime.…”

Section: Discussionmentioning

confidence: 97%

Influence of soil moisture regime on the species diversity and biomass of the herb layer of pine forests in the Ural Mountains

Ivanova

Zolotova

2020

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Adaptation of plant communities is an important factor for maintaining their functioning and stability in changing conditions. The aim of our research is study of the effect of soil moisture regime on the species richness and biomass of the herb layer for old-growth coniferous forests in the Ural Mountains (Russia). The research has been carried out between 57° 00'N; 60° 15''E and 57° 05'N; 60° 25'E. The studied area is part of the Zauralsky hilly piedmont province, the Southern boreal forest region. Sample plots (0.25 hectares) were laid in pine forests growing in habitats with different moisture regimes: insufficient, optimal (stable), and excessive. The research was conducted in 2010. To determine the herb layer productivity, 10-20 subplots 1x1 m in size were laid on each sample plot. Data analysis is based on the One-way ANOVA and species abundance distributions. It has been established that species richness in extreme (insufficient and excessive soil moisture regime (Cowberry pine forest and Pine forest with shrubs and sphagnum) and optimal (stable) soil moisture regime (Multi-herb pine forest) were found to vary significantly, with soil moisture regime being a statistically significant factor. By contrast, herb layer biomass is maintained fairly stable regardless of the soil moisture regimes. ANOVA showed no significant differences between pine forests growing under different soil moisture regimes. It has been found that biomass is maintained by increasing of the dominant species contribution to the overall biomass and increasing of the approximation function graph slope. At the same time, the parameter β of exponential and power approximating functions is increased and can be considered as an indicator of influencing on forest ecosystems and a measure of their adaptation to insufficient and excessive soil moisture. Thus, species abundance distributions can be used as method to measure the effects of factors that determine forest ecosystem composition and functioning.

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Section: Discussionmentioning

confidence: 97%

Influence of soil moisture regime on the species diversity and biomass of the herb layer of pine forests in the Ural Mountains

Ivanova

Zolotova

2020

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“…The sequence of operations for combining models (1) with SFI data was shown earlier (Usoltsev et al, 2008;Usoltsev, 2018). An automated version of the calculation algorithm is given in (Usoltsev et al, 2011). The absolutely dry mass of all components is converted to the carbon mass by a conversion factor of 0.5 (Matthews, 1993).…”

Section: Objects and Methodsmentioning

confidence: 99%

“…There are offered the BEFs in the form of mean values for woody species (Makarevskiy, 1991;Isaev et al, 1993;Van Camp et al, 2004;Durkaya et al, 2020), or dependent on stand age (Zamolodchikov et al, 1998;Lehtonen et al, 2007;Van Den Berge et al, 2021) or dependent on stem volume (Guo et al, 2010;Tang et al, 2016), or dependent on several of biometric indices obtained in the course of forest inventory (Shvidenko et al, 2007;Usoltsev et al, 2008;Teobaldelli et al, 2009;Usoltsev et al, 2011;González-García et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Carbon deposition by Russian forests on the example of taiga and forest-steppe zones

Usoltsev

Żukow

Tsepordey

2021

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Due to the global warming of the climate, the assessment of the carbon cycle in forest ecosystems has become particularly important. One method for determining deposited carbon is based on the use of biomass expansion factors (BEF) and State Forest Inventory (SFI) data. By combining BEF models with SFI data in two ecoregions of Russia -taiga and forest-steppe -it was found that over a 20-25-year period, accumulating the carbon deposition in the taiga zone is significantly less (5%) compared to the forest-steppe zone (39%). Comparable results were obtained by the same method in different ecoregions of the planet (from 8% in 5 years in China to 68% in 50 years in Japan). A comparison of the results obtained by the proposed method and the IIASA method showed a minimal discrepancy (3 %), which gives reason to consider the above estimates of carbon deposition close to reality. However, uncertainties remain related to the quality of the SFI data and the carbon deposition in the soil.

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“…При проведении натурного обследования учи тывалось экологическое состояние древостоя. По результатам расчетов, выполненных на основе ха рактеристик деревьев [11], оценивались площади листовой поверхности городской растительности на базовый период (при средней полноте 50000 ед./км 2 ) (табл. 1).…”

Section: удаление загрязняющих веществ из атмосферного воздуха растunclassified

“…Предполагалось, что масса удаленного загрязняю щего вещества деревьями (кустарниками) пропорци ональна фитомассе листьев (хвои). Исходя из этого, на основе литературных данных [11], были выделены характеристики лиственной (хвойной) фитомассы растений в природных условиях (табл. 2).…”

Section: удаление загрязняющих веществ из атмосферного воздуха растunclassified

Air Purification Efficiency Assessment on Large City’s Street Road Network by Green Plantings and Photocatalytic Cleaners

Davydov¹,

Davydov²,

Ворожнин³

et al. 2014

Safety in Technosphere

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Methods for organization of air purification on Yekaterinburg city’s street road network are considered.Air pollution by motor transport and a polluting substances stream to the car salon are estimated with a use of the received consistent patterns, dispersive models, transport streams’ characteristics, and data on current weather conditions. On a streams’ balance basis a permissible density of cars (on the non-exceedance of CO maximum permissible threshold) on the city’s territory (no more than 12-12.5 cars/sq. km) taking into account their emissions and work of photocatalytic cleaners in vehicles’ salons and photocatalytic coverings on the street road network surfaces (acoustic screens, sidewalks, buildings), and also due to processing of the polluting substances by different types of wood vegetation (protective forest strips, parks and forest parks) has been established. It has been defined that the removal of CO by means of available city vegetation is equivalent to additional presence on the city’s streets of 0.2-0.4 % of cars of the operated transport’s total number without air deterioration. A necessary area of an active surface for photocatalytic cleaners in the car salon (0.1 sq. m), bus salon (0.5 sq. m), and also a width of protecting surfaces with the deposited photocatalytic coverings near the pedestrian zone (5m) are estimated in this work. It has been established that sharing of the considered cleaning methods is capable to lead to annual decrease of carbon oxide from 0.14 to 6 %, and nitrogen oxides from 0.15 to 5.78 % in average concentration around the city.

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Net primary production of Ural forests: Methods and results of automated estimating

Cited by 4 publications

References 3 publications

Influence of soil moisture regime on the species diversity and biomass of the herb layer of pine forests in the Ural Mountains

Influence of soil moisture regime on the species diversity and biomass of the herb layer of pine forests in the Ural Mountains

Carbon deposition by Russian forests on the example of taiga and forest-steppe zones

Air Purification Efficiency Assessment on Large City’s Street Road Network by Green Plantings and Photocatalytic Cleaners

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