Published Date
References
For further details log on website :
http://link.springer.com/article/10.1007/s13595-016-0555-4
, Volume 73, Issue 3, pp 601-614
First online:
Title
Within-stem maps of wood density and water content for characterization of species: a case study on three hardwood and two softwood species
- Author
- Fleur Longuetaud
- , Frédéric Mothe
- , Meriem Fournier
- , Jana Dlouha
- , Philippe Santenoise
- , Christine Deleuze
Abstract
- Key message Variability and interrelations between wood density, water content, and related properties were analyzed by CT scanning of five species. Relative water content of lumens is proposed as the best complement to basic specific gravity for discrimination of species with respect to their functioning.
- Context X-ray computed tomography (CT) is an efficient tool for analysis of wood properties related to density and water content all along a tree stem. Basic specific gravity, an inherent property of the wood material, is well known and widely used in wood sciences.
- Aims The first aim of this study was to describe a method for mapping a set of wood properties within a tree stem. The second objective was to analyze the relations among these properties and to identify the one that offers the best information in addition to basic specific gravity for discrimination of species.
- Methods Wood discs were collected at various heights along a tree stem. We used a method consisting of comparing the CT images of the discs in the green state and after oven drying. Finally, 10 variables were computed for 115 trees of five temperate species: green, oven-dry, and basic specific gravities; moisture content; relative water content; relative water content of lumens; and fractions of air, water, free water, and cell walls.
- Results Maps of wood properties summarizing the radial and vertical variations were obtained, allowing us to highlight species-specific patterns. The five species were discriminated best when plotted in the plane defined by basic specific gravity and relative water content of lumens.
- Conclusion The proposed method is original and simple enough to process large samples. Because it correlated less with basic specific gravity than with moisture content, relative water content of lumens was selected for species characterization. This is the first study of such wood properties at this fine scale within a tree stem, simultaneously and for a substantial number of trees of five species including both hardwoods and softwoods.
References
- Babiak M, Kúdela J (1995) A contribution to the definition of the fiber saturation point. Wood Sci Technol 29:217–226
- Bouffier L, Gartner B, Domec J-C (2003) Wood density and hydraulic properties of ponderosa pine from the Willamette valley vs. the Cascade mountains. Wood Fiber Sci 35:217–233
- Deleuze C, Piboule A, Tricot E, Constant T, Longuetaud F, Mendow N, Rivoire M, Dassot M, Saint-André L, Genet A, Wernsdörfer H, Vallet P, Morneau F, Colin A, Bouvet A, Thivolle-cazat A, Gauhthier A, Jaeger M, Borianne P (2010) Reliable estimation of biomass in our forests? In: 18th European biomass conference and exhibition, Lyon, France, 3–7 mai, pp 61–66
- Forest Products Laboratory (2010) Wood handbook: wood as an engineering material. General Technical Report FPL-GTR-190. USDA Forest Service Forest Products Laboratory, Madison
- Freyburger C, Longuetaud F, Mothe F, Constant T, Leban J-M, DEC (2009) Measuring wood density by means of x-ray computer tomography. Ann For Sci 66:804CrossRef
- Fromm J H, Sautter I, Matthies D, Kremer J, Schumacher P, Ganter C (2001) Xylem water content and wood density in spruce and oak trees detected by high-resolution computed tomography. Plant Physiol 127:416–425CrossRefPubMedPubMedCentral
- Gryc V, Vavrcik H, Gomola S (2008) Selected properties of European beech (Fagus sylvatica L.). J For Sci 54:418–425
- Hacke U G, Sperry J S, Pockman W T, Davis S D, McCulloh K A (2001) Trends in wood density and structure are linked to prevention of xylem implosion by negative pressure. Oecologia 126:457– 461CrossRef
- Kellogg RM, Wangaard FF (1969) Variation in the cell-wall density of wood. Wood Fiber Sci 1:180–204
- Larjavaara M, Muller-Landau HC (2010) Rethinking the value of high wood density. Funct Ecol 24:701–705CrossRef
- Lindgren L (1991) Medical cat-scanning: X-ray absorption coefficients, ct-numbers and their relation to wood density. Wood Sci Technol 25:341–349
- Lindgren O (1992) Medical ct-scanners for non-destructive wood density and moisture content measurements. Ph.D. thesis, Luleå Tekniska Universitet
- Longuetaud F, Mothe F, Leban J-M, Mäkelä A (2006) Picea abies sapwood width: variations within and between trees. Scand J For Res 21:41–53CrossRef
- Lüttschwager D, Remus R (2007) Radial distribution of sap flux density in trunks of a mature beech stand. Ann For Sci 64:431–438CrossRef
- Niinemets Ü, Valladares F (2006) Tolerance to shade, drought, and waterlogging of temperate northern hemisphere trees and shrubs. Ecol Monogr 76:521–547CrossRef
- Nogueira E M, Fearnside P M, Nelson B W, Barbosa R I, Keizer E W H (2008) Estimates of forest biomass in the brazilian amazon: new allometric equations and adjustments to biomass from wood-volume inventories. For Ecol Manag 256:1853– 1867CrossRef
- Ormarsson S, Cown D (2005) Moisture-related distortion of timber boards of radiata pine: comparison with norway spruce. Wood Fiber Sci 37:424–436
- Plötze M, Niemz P (2011) Porosity and pore size distribution of different wood types as determined by mercury intrusion porosimetry. Eur J Wood Wood Prod 69:649–657CrossRef
- R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Austria. http://www.R-project.org/
- Rivoire M, Deleuze C, Longuetaud F, Saint-André L, Morneau F, Vallet P, Bouvet A, Gauthier A (2010) Exploring the variability of biomass distribution in individual forest trees. In: XXIII IUFRO World Congress, Seoul
- Schüller E, Martínez-Ramos M, Hietz P (2013) Radial gradients in wood specific gravity, water and gas content in trees of a mexican tropical rain forest. Biotropica 45:280–287CrossRef
- Stamm AJ (1929) Density of wood substance, adsorption by wood, and permeability of wood. J Phys Chem 33:398–414CrossRef
- Watanabe K, Lazarescu C, Shida S, Avramidis S (2012) A novel method of measuring moisture content distribution in timber during drying using ct scanning and image processing techniques. Dry Technol 30:256–262CrossRef
- Zanne A, Lopez-Gonzalez G, Coomes D, Ilic J, Jansen S, Lewis S, Miller R, Swenson N, Wiemann M, Chave J (2009) Data from: towards a worldwide wood economics spectrum. doi:http://dx.doi.org/10.5061/dryad.234
- Zauer M, Pfriem A, Wagenführ A (2013) Toward improved understanding of the cell-wall density and porosity of wood determined by gas pycnometry. Wood Sci Technol 47 :1197–1211CrossRef
- Zauer M, Kretzschmar J, Großmann L, Pfriem A, Wagenführ A (2014) Analysis of the pore-size distribution and fiber saturation point of native and thermally modified wood using differential scanning calorimetry. Wood Sci Technol 48:177–193CrossRef
For further details log on website :
http://link.springer.com/article/10.1007/s13595-016-0555-4
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