Sources / Paramonov et al. 2022
Paramonov et al. 2022
Willow tree biomass and its allometric models in the conditions of the Arkhangelsk region
Paramonov, A. A., Usoltsev, V. A., Tretyakov, S. V., et al. (2022). Willow tree biomass and its allometric models in the conditions of the Arkhangelsk region. Forests of Russia and economy in them, 4(83), 10–19.
doi:10.51318/fret.2022.27.41.002Open access
Checked 2026-11-02. Crossref is asked weekly for retraction or correction notices; none recorded.
4 equations from this source
- Willow (Salix spp.) aboveground biomass, northern taiga, Arkhangelsk
Aboveground biomass · Salix · Russia · DBH · 52 trees
ln Pi = a0 + a1ln D (1); ln Pa –2,2814 2,3413 0,916 0,207 (coefficients a0, a1, adjR2, SE)As printed (Eq. 1 and Table 2)
- Willow (Salix spp.) branch biomass, northern taiga, Arkhangelsk
Branch biomass · Salix · Russia · DBH · 52 trees
ln Pi = a0 + a1ln D (1); ln Pb –5,0265 2,7220 0,742 0,468 (coefficients a0, a1, adjR2, SE)As printed (Eq. 1 and Table 2)
- Willow (Salix spp.) foliage biomass, northern taiga, Arkhangelsk
Foliage biomass · Salix · Russia · DBH · 52 trees
ln Pi = a0 + a1ln D (1); ln Pf –5,2760 1, 9644 0,633 0,435 (coefficients a0, a1, adjR2, SE)As printed (Eq. 1 and Table 2)
- Willow (Salix spp.) stem biomass with bark, northern taiga, Arkhangelsk
Stem biomass · Salix · Russia · DBH · 52 trees
ln Pi = a0 + a1ln D (1); ln Ps –2,3671 2,2861 0,891 0,233 (coefficients a0, a1, adjR2, SE)As printed (Eq. 1 and Table 2)