Modelling Forest Stand Biomass and Net Primary Production with the Focus on Additive Models Sensitive to Climate Variables for Two-needled Pines in Eurasia

Usoltsev, Vladimir А.; Shobairi, Seyed Omid Reza; Tsepordey, Ivan Stepanovich; Часовских, В. П.

doi:10.3233/jcc190005

Cited by 10 publications

(7 citation statements)

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“…The finding is consistent with the increase in relative radial increment of boreal forests in Canada if both mean annual temperature and annual precipitation increase (Miao & Li 2011). However, this trend does not correspond to the results obtained using similar models for biomass quantification in two-needled pine forests of Eurasia (Usoltsev et al 2019b). The pine models manifested different trends, since in cold zones (Tm = −20°C) precipitation increase leads to a decrease of biomass, while in warm zones (Tm = 10°C) to their increase, with the exception of root biomass.…”

Section: Discussionsupporting

confidence: 50%

Fir (Abies spp.) stand biomass additive model for Eurasia sensitive to winter temperature and annual precipitation

Usoltsev

Merganičová

Konôpka

et al. 2019

Central European Forestry Journal

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Climate change, especially modified courses of temperature and precipitation, has a significant impact on forest functioning and productivity. Moreover, some alterations in tree biomass allocation (e.g. root to shoot ratio, foliage to wood parts) might be expected in these changing ecological conditions. Therefore, we attempted to model fir stand biomass (t ha−1) along the trans-Eurasian hydrothermal gradients using the data from 272 forest stands. The model outputs suggested that all biomass components, except for the crown mass, change in a common pattern, but in different ratios. Specifically, in the range of mean January temperature and precipitation of −30°C to +10°C and 300 to 900 mm, fir stand biomass increases with both increasing temperature and precipitation. Under an assumed increase of January temperature by 1°C, biomass of roots and of all components of the aboveground biomass of fir stands increased (under the assumption that the precipitation level did not change). Similarly, an assumed increase in precipitation by 100 mm resulted in the increased biomass of roots and of all aboveground components. We conclude that fir seems to be a perspective taxon from the point of its productive properties in the ongoing process of climate change.

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Section: Discussionsupporting

confidence: 50%

Fir (Abies spp.) stand biomass additive model for Eurasia sensitive to winter temperature and annual precipitation

Usoltsev

Merganičová

Konôpka

et al. 2019

Central European Forestry Journal

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“…Another character of differences of birch biomass and NPP is with two-needled pine ones (Usoltsev et al, 2019a): in the conditions of warm shortage with sufficient moisture supply (Northern Siberia' regions), an air temperature increase leads to an increase in the productivity of stands of pines, but an increase in precipitation leads to its decrease. In conditions of moisture deficiency with sufficient warm supply (steppe part of Central Asia), the temperature increase causes a decrease in productivity, and the increase in precipitation, on the contrary, its increase.…”

Section: Discussionmentioning

confidence: 99%

“…The influence of temperature and precipitation on the NPP change of tree species with accounting for stand age, morphology, and species composition has been studied at global or trans-continental level very seldom and in relation to coniferous species only (Usoltsev et al, 2019a). Hence, the purpose of this study was to develop a model of NPP change in birch (Betula spp.)…”

Section: Introductionmentioning

confidence: 99%

Forest stand biomass and NPP models sensitive to winter tempera-ture and annual precipitation for Betula spp. in Eurasia

Usoltsev

Żukow

Tsepordey

et al. 2020

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Forest ecosystems, as sinks of atmospheric carbon, play an important role in reducing CO 2 emissions and preventing annual temperatures from rising. On the other hand, climate change entails changes in the structure and functions of all the biota, including forest cover. Therefore, we attempted to model Betula spp. ecosystem biomass and annual net primary production (NPP) (t ha-1) using the data from 650 forest stands for biomass, 245 for NPP and biomass, as well as climate data on the Trans-Eurasian hydrothermal gradients. The model involves regional peculiarities of age and morphology of the forests. It is found that the reaction of birch biomass and NPP structure on temperature and precipitation corresponds to the principle of limiting factors by Liebig-Shelford but in different proportions for different species. Since the minimum values of biomass and NPP occur in regions with minimum precipitation and minimum temperature, these two factors are limiting in terms of biomass and NPP of birches. The same phenomenon is typical for firs, partly typical for spruces and very differ for larches and pines. The development of such models for basic forestforming species grown in Eurasia will give possibility to predict any changes in the biological productivity of forest cover of Eurasia in relation to climate change.

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“…This approach offers rapid and convenient conditions to facilitate the development of stand biomass models. Nonetheless, compared to studies on individual tree biomass models, there are still relatively few tree species and areas available [30,31].…”

Section: Introductionmentioning

confidence: 99%

An Alternative Method for Estimation of Stand-Level Biomass for Three Conifer Species in Northeast China

Xin

Shahzad²,

Mahardika

et al. 2023

Forests

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Accurate large-scale biomass prediction is crucial for assessing forest carbon storage and dynamics. It can also inform sustainable forest management practices and climate change mitigation efforts. However, stand-level biomass models are still scarce worldwide. Our study aims to introduce the generalized additive model (GAM) as a convenient and efficient approach for forest biomass estimation. Data from 311 sample plots of three conifer species in northeastern China were used to evaluate the performance of the GAM model and compare it with traditional nonlinear seemingly unrelated regression (NSUR) models in predicting stand biomass, including total, aboveground, and component biomass. The results indicated that the goodness of fit of GAM was better than that of NSUR in two model systems. In the majority of cases, the scatter plots and prediction performance revealed that the stand total and component biomass models utilizing GAM outperformed those based on NSUR. Disregarding heteroscedasticity and requiring fewer statistical assumptions provide additional support for the replacement of NSUR-based models with GAM-based models. This study implies that the GAM approach has greater potential for developing a system of stand biomass models.

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Modelling Forest Stand Biomass and Net Primary Production with the Focus on Additive Models Sensitive to Climate Variables for Two-needled Pines in Eurasia

Cited by 10 publications

References 0 publications

Fir (Abies spp.) stand biomass additive model for Eurasia sensitive to winter temperature and annual precipitation

Fir (Abies spp.) stand biomass additive model for Eurasia sensitive to winter temperature and annual precipitation

Forest stand biomass and NPP models sensitive to winter tempera-ture and annual precipitation for Betula spp. in Eurasia

An Alternative Method for Estimation of Stand-Level Biomass for Three Conifer Species in Northeast China

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