New procedure for the simulation of belowground competition can improve the performance of forest simulation models

Shanin, Vladimir; Mäkipää, Raisa; Shashkov, Maxim; Ivanova, Natalia V.; Shestibratov, Konstantin A.; Moskalenko, S. V.; Rocheva, Liliya; Grabarnik, Pavel; Бобкова, К. С.; Манов, А. В.; Osipov, A. F.; Burnasheva, Elvira; Bezrukova, Maria

doi:10.1007/s10342-015-0909-8

Cited by 11 publications

(13 citation statements)

References 99 publications

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“…The C org and N tot contents in forest litter (O) and gray-humus (AY) horizons under different tree species in dependence on the position of sampling points (the arithmetic mean is above the line, and minimum and maximum are given in parentheses; SB-near the tree stem, UC-under the crown; and n-sampling size for the corresponding soil horizon) total mass) along the periphery of the crown [27,46,51,58]. Root competition between neighboring plants is an additional factor affecting the spatial distribution of roots in soil horizons [43,57]. These factors result in a complicated distribution of different fractions of root debris in the soil.…”

Section: Discussionmentioning

confidence: 99%

“…Simulation of the dynamics of forest phytocenoses is mainly evolved towards creating individually oriented spatially distributed models of tree stands and ground vegetation, in which each plant is characterized by particular coordinates in the space of the modeling grid. It enables, for example, the calculation of the root nutrition zones of plants depending on the age, species-specific sizes, and growing conditions [20,36,38,55,57]. There are also approaches to modeling the dynamics of spatial microgroups of plants in the forest ground cover in relation to edaphic conditions of habitats [37].…”

Section: Genesis and Geography Of Soilsmentioning

confidence: 99%

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Spatial Distribution of Organic Matter and Nitrogen in the Entic Podzols of the Prioksko-Terrasnyi Reserve and Its Relationship with the Structure of Forest Phytocenoses

et al. 2020

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Estimates of the spatial heterogeneity of the organic matter distribution in forest soils determined by the influence of the species and spatial structure of phytocenoses are relevant for many environmental problems, including the calculation of carbon sinks and modeling of the dynamics of forest ecosystems. We analyzed the data on the organic carbon (C org ) and total nitrogen (N tot ) contents in the O (forest litter) and AY (humus) horizons of Entic Podzols in the Prioksko-Terrasnyi Reserve (54.89° N, 37.56° E). The studied site is located in a coniferous-deciduous forest formed after overgrowing of the cutting area of pine stands. We sampled the O and AY horizons along transects between trees of different species, i.e., near the trunks, under the crown, and in the intercrown space. The contents of C org and N tot in the O horizon varied within 17.6-44.9 and 0.84-1.79%, respectively. The ranges for the AY horizon were greater: 0.71-8.5% (C org ) and 0.035-0.33% (N tot ). The relationship between the contents of C org and N tot in the O and AY horizons was close to linear (r s = 0.72 and r s = 0.96, respectively). We also obtained similar C : N ratios for the both horizons. The litter thickness and the content of N tot in the O horizon, as well as the content of C org in the AY horizon, significantly differed in different parts of the transects (P < 0.05). The differences in the litter thickness and the C org content in the O horizon under the crowns of different tree species were also significant. In samples from the AY horizon taken in intercrown spaces, the N tot content correlated with the demand of plant species of the ground cover for soil fertility. The data obtained reflect the influence of specific features of spatial patterns of surface and root litterfall in multispecies communities of mixed forest stands on the spatial variability of C org and N tot contents in soil.

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Section: Discussionmentioning

confidence: 99%

Section: Genesis and Geography Of Soilsmentioning

confidence: 99%

Spatial Distribution of Organic Matter and Nitrogen in the Entic Podzols of the Prioksko-Terrasnyi Reserve and Its Relationship with the Structure of Forest Phytocenoses

et al. 2020

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“…Поскольку соотношение надземной и подземной фитомассы зависит от типа леса, при этом масса корней в общей массе дерева снижается по мере роста богатства и влажности почвы [125,126], для расчета долей надземных и подземных органов дополнительно применяются весовые коэффициенты, аналогичные применяемым в модели корневой конкуренции [127] Распределение биомассы по фракциям для разных видов и в зависимости от условий местообитания показано на рисунке 10 в дополнительных материалах к данной статье.…”

Section: расчет чистой первичной продукцииunclassified

“…В дальнейшем, разработанная модель будет интегрирована с уже существующими моделями корневой [127] и кроновой [25] конкуренции, моделью динамики органического вещества почвы Romul_Hum [153][154][155] и рядом других компонентов, которые будут объединены в рамках новой версии модели EFIMOD. Как и предыдущие версии, она будет ориентирована на моделирование динамики биогенного круговорота органического вещества и азота в разных типах лесных экосистем с учетом разнообразных сценариев лесопользования и их экологических последствий, а также внешних воздействий.…”

Section: заключениеunclassified

Parameterization of Productivity Model for the Most Common Trees Species in European Part of Russia for Simulation of Forest Ecosystem Dynamics

Shanin¹,

Grabarnik²,

Быховец³

et al. 2019

Math.Biol.Bioinf.

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The proposed model is the version of well-known biomass production model 3-PG (Physiological Principles Predicting Growth), which allows for calculation of biomass production in dependence of consumed soil nitrogen and available solar radiation. The model utilizes the concept of modifiers, i.e. functions describing the effect of tree age and environmental factors (air temperature and humidity, soil moisture, carbon dioxide concentration) on productivity. To make the model applicable to mixed forests of European Russia, the substantial modifications were implemented. In particular, more detailed response functions to air temperature, soil moisture and absorbed nitrogen were introduced. We also implemented new procedure of calculation of light use efficiency taking into account the difference between shade-tolerant and shade-intolerant tree species. The rank distribution equation was used for the description of an increment allocation to different tree biomass compartments. Model parameters were estimated for the 12 most common tree species of European Russia. The model was implemented as sub-routine for calculation of biomass production in forest ecosystem model EFIMOD 2. The model performance was tested against the wide range of environmental conditions.

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“…Alternatively, an approach based on the estimation of overlap of influence zones has been proposed [10]. The competition indices are widely used due to their simplicity, in comparison to more detailed spatially explicit mechanistic models of competition based on the description of processes underlying the development of tree crowns and root systems and resource acquisition, which are thus capable to take into account the effect of spatial locations of trees on the strength of interactions between them [11,12]. Such models usually have a complex structure and a higher number of parameters, and therefore demand a considerable computational effort.…”

Section: Introductionmentioning

confidence: 99%

Testing the Performance of Some Competition Indices against Experimental Data and Outputs of Spatially Explicit Simulation Models

Shanin

Hökkä

Grabarnik

2021

Forests

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Three competition indices were tested against experimental data on the growth of individual trees in mapped forest stands and outputs of spatially explicit, process-based models of competition. The comparison showed the fundamental importance of taking into account the spatial structure of stands and, particularly, the relative spatial locations of individual trees (spatial asymmetry) when calculating the competition between trees. Although none of the competition indices are able to take into account the specific processes affecting the development of individual trees, these indices can be used in forest dynamics modeling as a simplified representation of competition between trees for resources.

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New procedure for the simulation of belowground competition can improve the performance of forest simulation models

Cited by 11 publications

References 99 publications

Spatial Distribution of Organic Matter and Nitrogen in the Entic Podzols of the Prioksko-Terrasnyi Reserve and Its Relationship with the Structure of Forest Phytocenoses

Spatial Distribution of Organic Matter and Nitrogen in the Entic Podzols of the Prioksko-Terrasnyi Reserve and Its Relationship with the Structure of Forest Phytocenoses

Parameterization of Productivity Model for the Most Common Trees Species in European Part of Russia for Simulation of Forest Ecosystem Dynamics

Testing the Performance of Some Competition Indices against Experimental Data and Outputs of Spatially Explicit Simulation Models

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