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Scots pine and Norway spruce foliage biomass in Finland and Sweden — testing traditional models vs. the pipe model theory
- Source :
- Canadian Journal of Forest Research. 50:146-154
- Publication Year :
- 2020
- Publisher :
- Canadian Science Publishing, 2020.
-
Abstract
- The pipe model approach was compared with foliage biomass models by using the cross-sectional area at the tree crown base for predicting foliage biomass of Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.). We evaluated the impacts of site type, fertilization, and climate on the relationship between foliage biomass and cross-sectional area at the tree crown base, referred as to the pipe model ratio. Our hypotheses were that (i) the pipe model approach is a more precise and accurate method for foliage prediction than the traditional biomass models and (ii) the pipe model ratio for foliage does not explicitly depend on any single environmental driver. Data used here consisted of felled trees from Finnish and Swedish biomass studies. These data were analyzed by linear mixed models with different covariates, and the uncertainties of different modelling approaches were evaluated. The pipe model outperformed other models for Scots pine but not for Norway spruce. Results showed larger pipe model ratios for Scots pine in herb-rich forests compared with those of trees in subxeric heath forest. Results from fertilized trees indicated that the addition of nitrogen temporarily increased foliage biomass.
- Subjects :
- 0106 biological sciences
Global and Planetary Change
010504 meteorology & atmospheric sciences
Ecology
biology
Crown (botany)
Scots pine
Biomass
Forestry
15. Life on land
biology.organism_classification
01 natural sciences
Pinus
Productivity (ecology)
Environmental science
010606 plant biology & botany
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 12086037 and 00455067
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- Canadian Journal of Forest Research
- Accession number :
- edsair.doi...........fd114666ef1f62eddfe8aac1237af725
- Full Text :
- https://doi.org/10.1139/cjfr-2019-0211