Next Article in Journal
Valuation of the Economic Benefits from Using Genetically Improved Forest Reproductive Materials in Afforestation
Next Article in Special Issue
Temporal Changes in Community Structure over a 5-Year Successional Stage in a Subtropical Forest
Previous Article in Journal
Impacts of Global Warming on the Radial Growth and Long-Term Intrinsic Water-Use Efficiency (iWUE) of Schrenk Spruce (Picea schrenkiana Fisch. et Mey) in the Sayram Lake Basin, Northwest China
 
 
Article

Seemingly Unrelated Mixed-Effects Biomass Models for Young Silver Birch Stands on Post-Agricultural Lands

1
Institute of Forest Sciences, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, PL 02-776 Warsaw, Poland
2
School of Computing, University of Eastern Finland, P.O. Box 111, FI-80101 Joensuu, Finland
*
Author to whom correspondence should be addressed.
Forests 2020, 11(4), 381; https://doi.org/10.3390/f11040381
Received: 27 February 2020 / Revised: 23 March 2020 / Accepted: 25 March 2020 / Published: 27 March 2020
(This article belongs to the Special Issue Modelling of Forests Structure and Biomass Distribution)
Secondary succession that occurs on abandoned farmlands is an important source of biomass carbon stocks. Both direct and indirect tree biomass estimation methods are applied on forest lands. Using empirical data from 148 uprooted trees, we developed a seemingly unrelated mixed-effects models system for the young silver birch that grows on post agricultural lands in central Poland. Tree height, biomass of stem, branches, foliage, and roots are used as dependent variables; the diameter at breast height is used as the independent variable. During model elaboration we used restricted cubic spline: 5 knots at the quantiles (0.05, 0.275, 0.5, 0.725, and 0.95) of diameter at breast height provided sufficiently flexible curves for all biomass components. In this study, we demonstrate the use of the model system through cross-model calibration of the biomass component model using tree height measured from 0, 2, 3, and 4 available extreme trees feature in the plot in question. A different number of extreme trees were measured for final model system and our results indicated that for all analyzed components, random-effect predictions are characterized by higher accuracy than fixed-effects predictions. View Full-Text
Keywords: carbon; above and belowground biomass; model’s additivity; restricted cubic spline carbon; above and belowground biomass; model’s additivity; restricted cubic spline
Show Figures

Figure 1

MDPI and ACS Style

Bronisz, K.; Mehtätalo, L. Seemingly Unrelated Mixed-Effects Biomass Models for Young Silver Birch Stands on Post-Agricultural Lands. Forests 2020, 11, 381. https://doi.org/10.3390/f11040381

AMA Style

Bronisz K, Mehtätalo L. Seemingly Unrelated Mixed-Effects Biomass Models for Young Silver Birch Stands on Post-Agricultural Lands. Forests. 2020; 11(4):381. https://doi.org/10.3390/f11040381

Chicago/Turabian Style

Bronisz, Karol, and Lauri Mehtätalo. 2020. "Seemingly Unrelated Mixed-Effects Biomass Models for Young Silver Birch Stands on Post-Agricultural Lands" Forests 11, no. 4: 381. https://doi.org/10.3390/f11040381

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop