<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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<sup>−1</sup>) 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.</p></abstract>

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.

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

National Forest Centre - Forest Research Institute Zvolen

Central European Forestry Journal

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

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

Climate change, especially modified courses of temperature and precipitation, has a significant impact on forest functioning and productivity. Moreover, some...

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

Pubblicato online: 20 nov 2019

Pagine: 166 - 179

DOI: https://doi.org/10.2478/forj-2019-0017

Parole chiave
fir forests, stand biomass, regression models, additive biomass equations, hydrothermal indices

© 2019 Vladimir A. Usoltsev et al., published by Sciendo

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

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

Pubblicato online: 20 nov 2019

Pagine: 166 - 179

DOI: https://doi.org/10.2478/forj-2019-0017

Parole chiavefir forests, stand biomass, regression models, additive biomass equations, hydrothermal indices

© 2019 Vladimir A. Usoltsev et al., published by Sciendo

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

Parole chiave
fir forests, stand biomass, regression models, additive biomass equations, hydrothermal indices