Belowground biomass models for young oligotrophic Scots pine stands in Latvia

Ķēniņa, Laura; Bārdulis, A.; Matisons, Roberts; Kāpostiņš, Rolands; Jansons, Āris

doi:10.3832/ifor2553-010

Cited by 9 publications

(7 citation statements)

References 35 publications

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“…Due to its equipment, the theoretical possibilities of using the technique are from the restoration of small drainage ditches to the second commercial thinning. It is possible to calculate the amount of the round wood and wood biomass obtained in pre-commercial and commercial thinning by using algorithms developed for Latvia conditions (Jansons et al, 2017;Kenina et al, 2018;Lībiete et al, 2017;Liepiņš, Lazdiņš, & Liepiņš, 2017) to precisely predict additional revenue from integrated forest management.…”

Section: Introductionmentioning

confidence: 99%

Factors affecting productivity of machined logging in thinning using small size forest machines

Zimelis¹,

Kaleja²,

Luguza³

2018

Research for Rural Development

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The aim of the research is to find out changes in productivity depending on the diameter of the tree to be cut as well as the most important factor influencing the reduction of productivity using small size forest machines in thinning in Latvia. The equipment used in the study-both the harvester and the forwarder is Vimek. The results of the research confirm the appropriateness of the exact technique in thinning if diameter of the harvested trees is 3 to 30 cm. The average productivity of the harvester achieved with a harvester head Keto Forest Eco (option 2) in Norway spruce stands with 8 cm weighted average tree reached 9.59 m 3 h-1 , in deciduous tree stands with 9 cm weighted average was 10.17 m 3 h-1 , but in Scots pine stands with 12 cm average weighted tree diameter reached 10.19 m 3 h-1. By using the Keto Forest Eco Harvester head according to the thinning productivity figures, no significant difference among the tree species was detected. For the forest owner to predict the theoretical productivity of the harvester, it is possible to apply the equation R = K + KD * D, that is statistically significant, R 2 =0.85. This equation is applicable to thinnings when the diameter of thinned trees is between 4 and 25 cm. Forwarder's average productivity in thinned stands is 8.63 m 3 h-1 .

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Section: Introductionmentioning

confidence: 99%

Factors affecting productivity of machined logging in thinning using small size forest machines

Zimelis¹,

Kaleja²,

Luguza³

2018

Research for Rural Development

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“…The results show a trend in the proportion of belowground biomass, similar to that reported by Parde (1980), in a study carried out in southern Russia with Quercus spp., indicating that roots represent 74% of the total biomass in the former years of life, and then decrease, reaching no more than 21% at ages over 45 years. Kenina et al (2018) found in young stands of Pinus sylvestris L., a higher proportion of belowground biomass in young trees (8-14 years) and a decrease in larger trees (24-40 years). On the contrary, Durkaya et al (2016) and Medrano-Meraz (2018) reported that the proportion of belowground biomass for Pinus sylvestris and P. patula, respectively, increases as the D increases.…”

Section: Biomass Distributionmentioning

confidence: 83%

Allometric equations to estimate aboveground and belowground biomass ofPinus patulaSchiede ex Schltdl. & Cham

Martínez-Domínguez

Ruíz-Aquino

Santiago-García

et al. 2020

Forest Science and Technology

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The estimation of tree biomass serves as a parameter of forest productivity; in addition, it is a method to estimate carbon fixation and storage. Studies on total biomass that include the belowground component for the Pinus genus are scarce in Mexico due to the difficulty and high costs for its quantification. In this study, allometric models were fitted to estimate the total biomass of Pinus patula Schiede ex Schltdl. & Cham., from the pine-oak forest of Ixtl an de Ju arez, Oaxaca, for which a destructive analysis was made of 25 trees distributed in five diameter classes, classifying the biomass by components (root, stem, branches and foliage). With the component biomass data, different models were fitted by nonlinear regression techniques, using the diameter at breast height (D, cm) and the total height (TH, m) as independent variables. The model with the best fit was an exponential type y ¼ e ðÀb 0 þb 1 ln ðDÂTHÞÞ : In this study, it was observed that the studied species stores 22.62% of the biomass in the root, 69.61% in the stem, 5.67% in the branches and 2.11%, in the foliage. The models proposed in this study allow the estimation of total biomass and by structural component independently and additively. Its use is recommended in trees of P. patula, in the range of 5 to 25 cm of diameter at breast height, in forests with similar growing conditions.

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“…1), which can be explained that the lower and thicker parts of the stem (which was primarily the first fragment) were the heaviest and their weight varied the most. A majority of the biomass models underestimate the actual tree biomass, and their predictions are lower than the real weight (Lībiete et al 2017;Kenina et al 2018). However, the authors' model overestimated the prognosis, as indicated by mean estimated biomass (84.66 ± 4.03 kg, 95% confidence interval).…”

Section: Biomass Distribution Modelmentioning

confidence: 99%

Model of above-ground biomass distribution of Norway spruce (Picea abies L. (Karst.))

Krišāns

Samariks

Matisons

et al. 2020

BioRes

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Climate change with more frequent extreme weather events and prolonged winter periods with un-frozen, wet soil is causing frequent wind damage events in forests. Trees with higher mass point and heavier weight are more prone to wind damage; however, limited information exists on distribution of biomass under naturally moist conditions. Such information is essential to improve models of wind damage prediction. Therefore, the aim of the present study was to assess the biomass distribution and the parameters important for wind-load of Norway spruce (Picea abies (L.) Karst.). Samples were collected in the year 2019 from 87 trees growing on two different sites, corresponding to freely drained mineral and peaty mineral soils at the age of 55 and 88 years, respectively. Tree diameters at breast height, height, and height of first living branch were measured. Tree stems were pruned and cut into 2-m-long fragments and weighed (fresh weight) afterwards. A biomass distribution model was developed to estimate fresh weight of the stem of Norway spruce using easy measurable tree variables. Relative height of the mass point and height of living branches were higher in peaty mineral soil than on freely drained mineral soil, which was an indicator for higher windthrow risks.

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Belowground biomass models for young oligotrophic Scots pine stands in Latvia

Cited by 9 publications

References 35 publications

Factors affecting productivity of machined logging in thinning using small size forest machines

Factors affecting productivity of machined logging in thinning using small size forest machines

Allometric equations to estimate aboveground and belowground biomass ofPinus patulaSchiede ex Schltdl. & Cham

Model of above-ground biomass distribution of Norway spruce (Picea abies L. (Karst.))

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