<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A generic regression model for above-ground biomass of forest stands was constructed based on published data (<italic>R</italic><sup>2</sup> = 0.88, <italic>RSE</italic> = 32.8 t/ha). The model was used 1) to verify two allometric regression models of trees from Scandinavia applied to repeated measurements of 275 sample plots from database of Estonian Network of Forest Research (FGN) in Estonia, 2) to analyse impact of between-tree competition on biomass, and 3) compare biomass estimates made with different European biomass models applied on standardized forest structures. The model was verified with biomass measurements from hemiboreal and tropical forests. The analysis of two Scandinavian models showed that older allometric regression models may give biased estimates due to changed growth conditions. More biomass can be stored in forest stands where competition between trees is stronger. The tree biomass calculation methods used in different countries have also substantial influence on the estimates at stand-level. A common database of forest biomass measurements from Europe in similar to pan-tropical tree measurement data may be helpful to harmonise carbon accounting methods.</p></abstract>

A generic regression model for above-ground biomass of forest stands was constructed based on published data (R2 = 0.88, RSE = 32.8 t/ha). The model was used 1) to verify two allometric regression models of trees from Scandinavia applied to repeated measurements of 275 sample plots from database of Estonian Network of Forest Research (FGN) in Estonia, 2) to analyse impact of between-tree competition on biomass, and 3) compare biomass estimates made with different European biomass models applied on standardized forest structures. The model was verified with biomass measurements from hemiboreal and tropical forests. The analysis of two Scandinavian models showed that older allometric regression models may give biased estimates due to changed growth conditions. More biomass can be stored in forest stands where competition between trees is stronger. The tree biomass calculation methods used in different countries have also substantial influence on the estimates at stand-level. A common database of forest biomass measurements from Europe in similar to pan-tropical tree measurement data may be helpful to harmonise carbon accounting methods.

Estimation of above-ground biomass in forest stands from regression on their basal area and height

Tartu Observatory, 61602 Tõravere, Tartumaa,

Institute of Forestry and Rural Engineering, Estonian University of Life Sciences, Kreutzwaldi 5, 51014 Tartu,

Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan- Str. 82, A-1190 Wien,

Department of Dendrometry and Forest Productivity, Faculty of Forestry, Warsaw University of Life Sciences, Nowoursynowska 159, 02-787 Warsaw,

Restinga and Atlantic Forest Laboratory, Universidade Federal do Espírito Santo, UFES, 29932-540, São Mateus, ES,

Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamycka 129, 165 21 Prague,

Forestry Studies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A generic regression model for above-ground biomass of forest stands was constructed based on published data (R2 = 0.88, RSE = 32.8 t/ha). The model was used...

Estimation of above-ground biomass in forest stands from regression on their basal area and height

Online veröffentlicht: 23. Dez. 2016

Seitenbereich: 70 - 92

Eingereicht: 14. Juli 2016

Akzeptiert: 13. Okt. 2016

DOI: https://doi.org/10.1515/fsmu-2016-0005

Schlüsselwörter
forest, biomass, model, competition

© 2016 Mait Lang et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Estimation of above-ground biomass in forest stands from regression on their basal area and height

Online veröffentlicht: 23. Dez. 2016

Seitenbereich: 70 - 92

Eingereicht: 14. Juli 2016

Akzeptiert: 13. Okt. 2016

DOI: https://doi.org/10.1515/fsmu-2016-0005

Schlüsselwörterforest, biomass, model, competition

© 2016 Mait Lang et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
forest, biomass, model, competition