Biomass conversion and expansion factors for a chronosequence of young naturally regenerated silver birch (Betula pendula Roth) stands growing on post-agricultural sites

Jagodziński, Andrzej M.; Zasada, M.; Bronisz, Karol; Bronisz, Agnieszka; Bijak, Szymon

doi:10.1016/j.foreco.2016.10.051

Cited by 36 publications

(35 citation statements)

References 71 publications

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“…Similar results were reported for Pinus sylvestris L. [21] and Betula pendula Roth. [22], as well as for chronosequences of other species, regardless of pooling them together or treating them separately [24,60]. For that reason, BR and FL models were more biased than ST and AB, at both the tree and stand levels.…”

Section: Influence Of Forest Stand Parameters On Biomass Estimationmentioning

confidence: 99%

“…AEs based on individual tree measurements require time-and money-consuming inventories, but yield higher accuracy of biomass estimation. Stand level estimation is usually conducted using forest stand models (e.g., [20,21]) or biomass expansion and conversion factors (BCEFs; e.g., [12,[22][23][24]). BCEFs are literally proportions of forest stand biomass and tree stand volume, allowing for easy conversion of forest inventory data (growing stock) into biomass.…”

mentioning

confidence: 99%

“…The proportions of carbohydrates invested in development of particular organs vary climatically [25], but also with increasing age (e.g., [26][27][28]). For that reason, younger trees need separate models both at the tree (e.g., [23,29,30]) and stand (e.g., [21,22,24]) levels. Moreover, according to metabolic scaling theory [31] and its expansion [32], biomass allocation is connected with tree dimensions.…”

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confidence: 99%

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Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Jagodziński

Dyderski

Gęsikiewicz

et al. 2018

Forests

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Carbon pool assessments in forests is one of the most important tasks of forest ecology. Despite the wide cultivation range, and economical and traditional importance, the aboveground biomass of European larch (Larix decidua Mill.) stands is poorly characterized. To increase knowledge about forest biomass accumulation and to provide a set of tools for aboveground biomass estimation, we studied a chronosequence of 12 larch forest stands (7-120 years old). From these stands, we measured the biomass of 96 sample trees ranging from 1.9 to 57.9 cm in diameter at breast height. We provided age-specific and generalized allometric equations, biomass conversion and expansion factors (BCEFs) and biomass models based on forest stand characteristics. Aboveground biomass of stands ranged from 4.46 (7-year-old forest stand) to 445.76 Mg ha −1 (106-year-old). Stand biomass increased with increasing stand age, basal area, mean diameter, height and total stem volume and decreased with increasing density. BCEFs of the aboveground biomass and stem were almost constant (mean BCEFs of 0.4688 and 0.3833 Mg m −3 , respectively). Our generalized models at the tree and stand level had lower bias in predicting the biomass of the forest stands studied, than other published models. The set of tools provided fills the gap in biomass estimation caused by the low number of studies on larch biomass, which allows for better estimation of forest carbon pools.Forest stand biomass can be estimated at two levels of detail: tree level and stand level. For tree level the most frequent approach is usage of allometric equations (AEs)-regression models allowing for tree biomass estimation using simple measurements, i.e., diameter at breast height or height [17][18][19]. AEs based on individual tree measurements require time-and money-consuming inventories, but yield higher accuracy of biomass estimation. Stand level estimation is usually conducted using forest stand models (e.g., [20,21]) or biomass expansion and conversion factors (BCEFs; e.g., [12,[22][23][24]). BCEFs are literally proportions of forest stand biomass and tree stand volume, allowing for easy conversion of forest inventory data (growing stock) into biomass. However, this approach is double-biased by errors of statistical models and errors of forest inventory. For example, BCEFs are not useful in cases of young forest stands where volume of merchantable wood is underestimated [21].The need for elaboration of more accurate biomass models is connected with the variability of biomass allocation patterns. The proportions of carbohydrates invested in development of particular organs vary climatically [25], but also with increasing age (e.g., [26][27][28]). For that reason, younger trees need separate models both at the tree (e.g., [23,29,30]) and stand (e.g., [21,22,24]) levels. Moreover, according to metabolic scaling theory [31] and its expansion [32], biomass allocation is connected with tree dimensions. In cases of managed forests, initial spacing of forest stands also influence both bioma...

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Section: Influence Of Forest Stand Parameters On Biomass Estimationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Jagodziński

Dyderski

Gęsikiewicz

et al. 2018

Forests

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“…Birch is a very common tree in Poland (Danielewicz 2012a). It includes pioneer trees that spread easily on land previously cleared by human activities (Wacnik et al 2014;Bronisz et al 2016;Jagodziński et al 2017), which makes access to the timber easy. Taking into consideration the fact that Betula wood is easy to work and hardly warps (Surmiński 1979), it was probably used by medieval craftsmen.…”

Section: Regional Differences In the Timbers Used For Making Wooden Amentioning

confidence: 99%

Trees and shrubs used in medieval Poland for making everyday objects

Cywa

2017

Veget Hist Archaeobot

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This article presents the results of the wood identification of 3,867 everyday objects dated from the 9th to the 15th century ad, which were excavated from 48 medieval strongholds and early urban centres in Poland. The analyses have shown that medieval craftsmen used the wood of 27 tree and shrub taxa. The timber used the most was Pinus sylvestris (pine), Quercus sp. (oak), Fraxinus excelsior (ash) and Alnus sp. (alder). Pine was used mainly to make vessels out of staves (curved pieces of wood) such as buckets and tubs, and for torches for lighting; oak was used for furniture, barrels, cart axles, spades and club hammers used by carpenters. Ash wood was the main material used for making turned bowls, and alder for making articles which were to be in long-lasting contact with water, such as beaters and scoops. Wood studies agree with historical records about the intensive use of yew wood, which finally caused the decrease of Taxus baccata in woodlands in the 14th and 15th centuries. Also, the wood of shrubs such as Euonymus sp. (spindle) and Sambucus sp. (elder) was quite often used. The choice of wood for the specific needs of a particular craft in medieval Poland was done selectively and it was determined by the particular function of the object being made, but at the same time it was limited by availability from the local woodlands. Regional differentiation in the selection of raw material is best indicated in the case of Abies alba (fir). Chronological analysis of the use of wood shows that the number of items made of timber from deciduous trees in all regions of Poland decreased in the late Middle Ages when compared to the Piast period of the early Middle Ages.

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“…Precise assessment of carbon balance in forest ecosystems is possible due to detailed studies of particular species and site conditions, as biomass accumulation patterns depend on tree stand age (e.g., Peichl and Arain 2007;Donnelly et al 2016;Jagodziński et al 2018a), climate (e.g., Oleksyn et al 1999;Schepaschenko et al 2018), soil fertility (e.g., Rademacher et al 2009;Lehtonen et al 2016) or successional stage (e.g., Kuznetsova et al 2011;Jagodziński et al 2017). In recent decades, researchers developed very precise tools for biomass assessment for the main forest tree species (Zianis et al 2005;Teobaldelli et al 2009;Forrester et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Tree and stand level estimations of Abies alba Mill. aboveground biomass

Jagodziński

Dyderski

Gęsikiewicz

et al. 2019

Annals of Forest Science

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& Key message We provided a complete set of tree-and stand-level models for biomass and carbon content of silver fir Abies alba. This allows for better characterization of forest carbon pools in Central Europe than previously published models. The best predictor of biomass at the stand level is stand volume, and the worst are stand basal area and density. & Context Among European forest-forming tree species with high economic and ecological significance, Abies alba Mill. is the least characterized in terms of biomass production. & Aims To provide a comprehensive set of tree-and stand-level models for A. alba biomass and carbon stock. We hypothesized that (among tree stand characteristics) volume will be the best predictor of tree stand biomass. & Methods We studied a chronosequence of 12 A. alba tree stands in southern Poland (8-115 years old). We measured tree stand structures, and we destructively sampled aboveground biomass of 96 sample trees (0.0-63.9 cm diameter at breast height). We provided tree-level models, biomass conversion and expansion factors (BCEFs) and biomass models based on forest stand characteristics. & Results We developed general and site-specific tree-level biomass models. For stand-level models, we found that the best predictor of biomass was stand volume, while the worst were stand basal area and density. & Conclusion Our models performed better than other published models, allowing for more reliable biomass predictions. Models based on volume are useful in biomass predictions and may be used in large-scale inventories.

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Biomass conversion and expansion factors for a chronosequence of young naturally regenerated silver birch (Betula pendula Roth) stands growing on post-agricultural sites

Cited by 36 publications

References 71 publications

Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Tree- and Stand-Level Biomass Estimation in a Larix decidua Mill. Chronosequence

Trees and shrubs used in medieval Poland for making everyday objects

Tree and stand level estimations of Abies alba Mill. aboveground biomass

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