Weight loss of logwood piles stored under winter conditions in Poland

Our work focuses on the natural drying of woods in winter. It aimed to compare the natural drying process of three wood species: Scots pine as coniferous species, sessile oak as ring-porous species with a marked heartwood and silver birch as a sapwood species with a diffuse-porous structure. The research was carried out in central Poland. We collected logs from a 41-year-old stand destined for thinning. We stacked the logs randomly in one pile. The experiment took place between November 30, 2016 and April 4, 2017. All the samples were measured individually every two days throughout the experiment. We found logs lost weight during the experiment, especially pine (12% of total mass), less so oak and birch (7%). We recorded the biggest decrease during the last month (in spring). The wood moisture content decreased the most in pine and the least in oak heartwood. The stepwise regression model explains the impact of weather at 58%. Relative humidity was the most significant factor (0.58), followed by temperature and wind. We observed that weight loss and diameter are related to different degrees in the tested species, which probably depends on the sapwood area. Our observations show that natural wood drying in winter is a slow process that speeds up in the spring.

[1]  G. Trzciński,et al.  Parameters of Trucks and Loads in the Transport of Scots Pine Wood Biomass Depending on the Season and Moisture Content of the Load , 2021, Forests.

[2]  A. Tomczak,et al.  Effect of Natural Drying Methods on Moisture Content and Mass Change of Scots Pine Roundwood , 2020 .

[3]  W. Grzywiński,et al.  VARIATIONS OF WOOD PROPERTIES OF BIRCH (BETULA PENDULA ROTH) FROM A 23-YEAR OLD SEED ORCHARD , 2020, Wood Research.

[4]  Kohske Takahashi,et al.  Welcome to the Tidyverse , 2019, J. Open Source Softw..

[5]  Angel B. Ruiz,et al.  Integrating natural wood drying and seasonal trucks’ workload restrictions into forestry transportation planning , 2019 .

[6]  A. Bieniasz,et al.  Variability in the basic density of silver birch wood in Poland , 2019, Silva Fennica.

[7]  P. Paschalis-Jakubowicz,et al.  The Influence of Location, Tree Age and Forest Habitat Type on Basic Fuel Properties of the Wood of the Silver Birch (Betula pendula Roth.) in Poland , 2018, BioEnergy Research.

[8]  Zhe Wang,et al.  Relationships between transpiration, water loss, and air conditions during physiological drying , 2018 .

[9]  L. Sikanen,et al.  Dry matter losses and their economic significance in forest energy procurement , 2018 .

[10]  W. Grzywiński,et al.  Effects of Short-Term Storage Method on Moisture Loss and Weight Change in Beech Timber , 2018 .

[11]  Han-Sup Han,et al.  Strategies for Reducing Moisture Content in Forest Residues at the Harvest Site , 2018 .

[12]  Han-Sup Han,et al.  Moisture Content in Forest Residues: an Insight on Sampling Methods and Procedures , 2017, Current Forestry Reports.

[13]  D. Kuptz,et al.  Drying effects and dry matter losses during seasonal storage of spruce wood chips under practical conditions , 2017 .

[14]  Gernot Erber,et al.  Impact of Different Time Interval Bases on the Accuracy of meteorological Data Based Drying Models for Oak (Quercus L.) Logs Stored in Piles for Energy Purposes , 2017 .

[15]  L. Sikanen,et al.  Validation of prediction models for estimating the moisture content of logging residues during storage , 2016 .

[16]  Daesung Lee,et al.  Estimating Wood Weight Change on Air Drying Times for Three Coniferous Species of South Korea , 2016 .

[17]  Gernot Erber,et al.  Modelling natural drying of European beech (Fagus sylvatica L.) logs for energy based on meteorological data , 2016 .

[18]  P. Muiste,et al.  The Alternatives of Transport of Wood Chips in Estonian Conditions : a Case Study , 2016 .

[19]  Johanna Routa,et al.  Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood , 2015 .

[20]  L. Sikanen,et al.  Comparison of Moisture Prediction Models for Stacked Fuelwood , 2015, BioEnergy Research.

[21]  Johanna Routa,et al.  Precision measurement of forest harvesting residue moisture change and dry matter losses by constant weight monitoring , 2015 .

[22]  Karl Stampfer,et al.  Comparing Two Different Approaches in Modeling Small Diameter Energy Wood Drying in Logwood Piles , 2014 .

[23]  W. D. Greene,et al.  Improving Woody Biomass Feedstock Logistics by Reducing Ash and Moisture Content , 2014, BioEnergy Research.

[24]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[25]  Rien Visser,et al.  Determining the effect of storage conditions on the natural drying of radiata pine logs for energy use , 2014, New Zealand Journal of Forestry Science.

[26]  Glen Murphy,et al.  Forecasting air-drying rates of small Douglas-fir and hybrid poplar stacked logs in Oregon, USA , 2013 .

[27]  W. D. Greene,et al.  Transpirational drying effects on energy and ash content from whole-tree southern pine plantation chipping operations. , 2013 .

[28]  Anders Ågren,et al.  Predicting the green density as a means to achieve the volume of Norway spruce , 2013 .

[29]  M. Szymański,et al.  Wzmocnienie desorpcyjne jako podstawa oceny jakości drewna dębu szypułkowego (Quercus robur L.) i dębu burgundzkiego (Quercus cerris L.) , 2013 .

[30]  Reino Pulkki,et al.  Fuel quality changes in full tree logging residue during storage in roadside slash piles in Northwestern Ontario , 2012 .

[31]  Karl Stampfer,et al.  Predicting moisture content in a pine logwood pile for energy purposes. , 2012 .

[32]  Dominik Röser,et al.  Natural drying treatments during seasonal storage of wood for bioenergy in different European locations , 2011 .

[33]  Juha Nurmi,et al.  Modelling moisture content and dry matter loss during storage of logging residues for energy , 2011 .

[34]  Juha Nurmi,et al.  Modelling natural drying efficiency in covered and uncovered piles of whole broadleaf trees for energy use. , 2011 .

[35]  Dana Mitchell,et al.  Transpirational drying effects on energy and ash content from whole-tree chipping operations in a southern pine plantation , 2011 .

[36]  P. Steele,et al.  Effects of 9 months of weather exposure on slash bundles in the Mid-South. , 2010 .

[37]  Shahab Sokhansanj,et al.  Storage of comminuted and uncomminuted forest biomass and its effect on fuel quality , 2009, BioResources.

[38]  T. Nordfjell,et al.  Fuel quality changes during seasonal storage of compacted logging residues and young trees , 2007 .

[39]  J. Nurmi,et al.  The characteristics of whole-tree fuel stocks from silvicultural cleanings and thinnings , 2007 .

[40]  Marina Bährle-Rapp,et al.  Moisture Content , 2007 .

[41]  Ralph E.H. Sims,et al.  All-year-round harvesting of short rotation coppice eucalyptus compared with the delivered costs of biomass from more conventional short season, harvesting systems , 2004 .

[42]  C. Sonneveld,et al.  Natural wind drying of willow stems , 2000 .

[43]  P. Bruns,et al.  Long-term storage. , 2000, Methods in cell biology.

[44]  Raida Jirjis,et al.  Storage and drying of wood fuel. , 1995 .

[45]  Juha Nurmi,et al.  The effect of whole-tree storage on the fuelwood properties of short-rotation Salix crops , 1995 .

[46]  Bryce J. Stokes,et al.  Transpirational drying and costs for transporting woody biomass - a preliminary review , 1993 .

[47]  I. L. Post,et al.  Delayed Bucking and Bolewood Moisture Content , 1980 .

[48]  P. Olesen water displacement method; a fast and accurate method of determining the green volume of wood samples , 1971 .