Allometric Models to Predicate Single-Tree Biomass in the Eurasian Larix spp. Forest (original) (raw)
Related papers
2018
For the first time in Russian literature the problem of harmonizing allometric models of forest biomass components (stem, branches, foliage, roots) on the levels of tree and forest stand by means of ensuring the principle of their additivity has been solved. Allometric models are designed using two unique volume of the databases on harvest biomass of two-needled pines (subgenus Pinus L. involving 86% of Pinus sylvestris L. data) on the levels of sample trees (2080 determinations) and forest stands (2450 determinations) growing within their natural habitats in Eurasia. The principle of additivity implies that the sum of biomass values obtained by component equations should be equal to the value of total biomass obtained by the general equation for total biomass. When using binary variable designating natural forests and plantations, additive systems of biomass component relations, as transcontinental three-step models of proportional weighting are designed. On their basis the corresponding taxation tables of the biomass component composition involving basic mass-determining inputs are suggested. In contrast to aggregating method of designing the additive model according to the principle " from particular-to general " , an alternative, disaggregating three-step method is applied when using another principle " from general-to particular ". The proposed models and corresponding biomass tables make it possible to estimate tree (kg) and stand (t/ha) biomass of Pinus forests on the Eurasian area as the first approximations when using traditional taxation. Because such transcontinental models and tables may have biases in local conditions for their application, in the next stage of this research more detailed, regional forest biomass models and tables through the " splitting " proposed here, common models into regional ones using the blocks of dummy variables will be developed. Nat. Env. & Poll. Tech.
Additive allometric model of Quercus spp. stand biomass for Eurasia
Ecological Questions, 2020
When using the unique in terms of the volume of database on the level of stand of the genus Quercus, the trans-Eurasian additive allometric models of biomass of stands for Eurasian Quercus forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of forest biomass of Quercus is harmonized in two ways: it eliminated the internal contradictions of the component and the total biomass equations, and in addition, it takes into account regional differences of forest stands not only on total, aboveground and underground biomass, but also on its component structure, i.e. it reflects the regional peculiarities of the component structure of biomass. model's harmonizing, dummy variables, biological productivity, biomass of forests, genus Quercus, sample plots. In recent years, the world forest ecology is experiencing unprecedented information splash in the assessment of forest biological productivity in relation to climate change observed since 1960-80-ies (Budyko, 1977). The current hype surrounding the problem of breached the carbon balance of the biosphere passes into the common paradigm of sustainable development, which the first is biosphere-stabilizing function of forests, but traditional resource forest management is seen as a subordinate task (Utkin, 1995). Estimating of biological productivity or carbon-depositing ability of forests is going on the global level, and its increase is one of the major factors of climate stabilization. The modern methods of modelling the biological productivity of trees and tree stands have been developed towards additivity of biomass components (Bi et al., 2010; Dong et al., 2015) and towards transition from "pseudo-generic" allometric models to really generic, involving regionalization of biomass model by introducing dummy variables (Fu et al., 2012), that usually fulfilled on local sets of actual biomass of trees and tree stands. Because different biomass components are characterized by different rates both their growth and mortality, they make a different contribution to matter cycling in the forest ecosystem and should be estimated not only in total but also separately. Information on component composition of forest biomass was needed in other applications too, in particular, when assessing fire danger and modelling of forest fires (De-Miguel et al., 2014). Additivity of biomass components supposes that the total biomass (stem, branches, foliage, roots), obtained from component equations, should be equal (but usually not equal) to the value obtained using the equation for total biomass. We generated the database of forest stand biomass for the main forest species in Eura-sia (Usoltsev, 2010; Usoltsev, 2013), that has enabled these
Modeling the additive allometric of stand biomass of Larix sp. for Eurasia .pdf
Ecological Questions, 2019
When using the unique in terms of the volumes of database on the level of a stand of the genus Larix Mill., the trans-Eurasian additive allometric models of biomass for Eurasian larch forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of forest biomass of Larix is harmonized in two levels, one of which provides the principle of additivity of biomass components, and the second one is associated with the introduction of dummy independent variables localizing model for eco-regions of Eurasia. Comparative analysis of the biomass structure of larch stands of different ecoregions at the age of 100 years shows, that the greatest values of biomass (210-450 t/ha) correspond to the regions adjacent to the Atlantic and Pacific coasts, as well as to the regions, located at the southern limit of larch growing area and the lowest – to northern taiga regions of Siberia, where larch grows on permafrost. The biomass indices of different ecoregions differed not only in absolute value but also in biomass ratios of different components; for example, the proportion of needles in the aboveground biomass is maximum (5.0-7.3%) in the northern taiga of Central Siberia and the Far East on permafrost and is minimum (1.4-1.9%) in larch forests of upper productivity having biomass values 210-450 t/ha. The proposed model and corresponding tables for estimating stand biomass makes them possible to calculate larch stand biomass on Eurasian forests when using measuring taxation.
Modeling the additive allometric of stand biomass of Larix sp. for Eurasia
Ecological Questions, 2019
When using the unique in terms of the volumes of database on the level of a stand of the genus Larix Mill., the trans-Eurasian additive allometric models of biomass for Eurasian larch forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of forest biomass of Larix is harmonized in two levels, one of which provides the principle of additivity of biomass components, and the second one is associated with the introduction of dummy independent variables localizing model for eco-regions of Eurasia. Comparative analysis of the biomass structure of larch stands of different ecoregions at the age of 100 years shows, that the greatest values of biomass (210-450 t/ha) correspond to the regions adjacent to the Atlantic and Pacific coasts, as well as to the regions, located at the southern limit of larch growing area and the lowest-to northern taiga regions of Siberia, where larch grows on permafrost. The biomass indices of different ecoregions differed not only in absolute value but also in biomass ratios of different components; for example, the proportion of needles in the aboveground biomass is maximum (5.0-7.3%) in the northern taiga of Central Siberia and the Far East on permafrost and is minimum (1.4-1.9%) in larch forests of upper productivity having biomass values 210-450 t/ha. The proposed model and corresponding tables for estimating stand biomass makes them possible to calculate larch stand biomass on Eurasian forests when using measuring taxation.
MODELLING THE ADDITIVE ALLOMETRIC OF SINGLE-TREE BIOMASS OF BETULA SP. FOR EURASIA
Asian Journal of Microbiology, Biotechnology & Environmental Sciences, 2018
When using the unique in terms of the volume of database on the level of a single-tree of the genus Betula sp., the trans-Eurasian additive allometric model of biomass of trees for Eurasian birch forests is developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of tree biomass of Betula sp. is harmonized in two ways: it eliminated the internal contradictions of the component and the total biomass equations, and in addition, it takes into account regional differences of trees of equal sizes not only on total, aboveground and underground biomass, but also on its component structure, i.e. it reflects the regional peculiarities of the component structure of tree biomass.
Forests
Effective initiatives for forest-based mitigation of climate change rely on continuous efforts to improve the estimation of forest biomass. Allometric biomass models, which are nonlinear models that predict aboveground biomass (AGB) as a function of diameter at breast height (D) and tree height (H), are typically used in forest biomass estimations. A combined variable D2H may be used instead of two separate predictors. The Q-ratio (i.e., the ratio between the parameter estimates of D and parameter estimates of H, in a separate variable model) was proposed recently as a measure to guide the decision on whether D and H can be safely combined into D2H, being shown that the two model forms are similar when Q = 2.0. Here, using five European beech (Fagus sylvatica L.) biomass datasets (of different Q-ratios ranging from 1.50 to 5.05) and an inventory dataset for the same species, we investigated the effects of combining the variables in allometric models on biomass estimation over large ...
Plant Archives, 2018
When using the unique in terms of the volumes of database on the level of a tree of the subgenus Pinus spp., the trans-Eurasian additive allometric model of biomass of trees for Eurasian forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of tree biomass of Pinus is harmonized in two ways: it eliminated the internal contradictions of the component and the total biomass equations, and in addition, it takes into account regional differences of trees of equal sizes on total, aboveground and underground biomass. The proposed model and corresponding tables for estimating tree biomass makes them possible to calculate two-needled pine biomass (t/ha) on Eurasian forests when using measuring taxation.
Journal of the Institute of Landscape Ecology, 2023
Forest ecosystems play an essential role in climate stabilization, and the study of their capabilities in this aspect is of paramount importance. How climate changes affect the biomass of trees and stands in transcontinental gradients is unknown today? The objective of this study was (a) to verify the operation of the law of the limiting factor at the transcontinental level when modeling changes in the biomass of trees and stands of the genus Betula spp. of Eurasia in relation to geographically determined indicators of temperatures and precipitation, and (b) to show the possibility of using the constructed climate-conditioned models of tree and stand biomass in predicting temporal changes in tree and stand biomass based on the principle of space-for-time substitution. As a result of the implementation of the principles of the limiting factor and space-for-time substitution, a common pattern has been established on tree and stand levels: in sufficiently moisture-rich climatic zones, an increase in temperature by 1 °C with a constant amount of precipitation causes an increase in aboveground biomass, and in moisture-deficient zones, it decreases; in warm climatic zones, a decrease in precipitation by 100 mm at a constant average January temperature causes a decrease in aboveground biomass, and in cold climatic zones, it increases.
Modelling of Allometric Equations for Biomass Estimate in Deciduous Forest
FLORESTA, 2018
This paper aimed to test and adjust allometric models to estimate biomass in a Deciduous Forest. The data were obtained from seven 12 x 12 m plots, from which 91 trees were cut down. Only trees with diameter at breast height (DBH) greater than 5 cm were measured, and the fitting of the models was performed based on the DBH, total height (H) and total dry biomass (DAB) for each individual tree. The adjusted equations with no stratification presented adjusted determination coefficients (R 2 aj) ranging from 0.726 to 0.972 and standard errors in percentage (Syx%) from 33.5 to 119.6. The best adjusted model for nonstratified dataset was obtained by the Stepwise procedure, leading to the equation: DAB = β0 + β1.(DBH 3) + β2.H + β3.(DBH 3 .H), with 0.954 of R 2 aj and 44.0 of Syx%. For stratified dataset, only the diameter class higher than 15 cm presented acceptable results, with 0.968 of R 2 aj and 26.5 of Syx%. The current database has shown good quality measurements for fitting stochastic models to estimate the biomass of each tree.