How to improve dendrogeomorphic sampling: Variogram analyses of wood density using X-Ray computed tomography

Tree-Ring Research

Volumn 71, Issue 1, 2015, Pages 25-36

  Guardiola Albert, Carolina ^a   Ballesteros Canovas J A ^b,c   Stoffel, M ^b,c   Diez Herrero A ^a  

^a INSTITUTO GEOLÓGICO Y MINERO DE ESPAÑA   (Spain)

^b UNIVERSITY OF BERN   (Switzerland)

^c UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Flash floods; Tree rings; Variogram analysis; Wood density; Wounds; X ray computed tomography

Indexed keywords

EID: 84931072638     PISSN: 15361098     EISSN: None     Source Type: Journal    
DOI: 10.3959/1536-1098-71.1.25     Document Type: Article

References (50)

1. Abrámoff, M., P. Magalhães, and S. Ram, 2004. Image processing with Image J. Biophotonics International 11(7): 36-42.
2. Arbellay, E., M. Stoffel, and M. Bollschweiler, 2010. Wood anatomical analysis of Alnus incana and Betula pendula injured by a debris-flow event. Tree Physiology 30(10): 1290-1298.
3. Arbellay, E., P. Fonti, and M. Stoffel, 2012. Duration and extension of anatomical changes in wood structure after cambial injury. Journal of Experimental Botany 63(8): 3271-3277.
4. Arbellay, E., M. Stoffel, E. K. Sutherland, K. T. Smith, and D. A. Falk, 2014. Changes in tracheid and ray traits in fire scars of North American conifers and their ecophysiological implications. Annals of Botany 114(2):223-232.
5. Armstrong, M., 1984. Problems with universal kriging. Mathematical Geology 16(1):101-108.
6. -1998. Basic linear geostatistics. Springer-Verlag, Berlini Heidelberg; 153 pp.
7. Ballesteros-Canovas, J., M. Stoffel, M. Bollschweiler, J. Bodoque, and A. Díez-Herrero, 2010a. Flash-flood impacts cause changes in wood anatomy of Alnus glutinosa, Fraxinus angustifolia and Quercus pyrenaica. Tree Physiolophy 30(6): 773-781.
8. Ballesteros-Canovas, J. A., M. Stoffel, J. Bodoque del Pozo, M. Bollschweiler, O. M. Hitz, and A. Diez-Herrero, 2010b. Changes in wood anatomy in tree rings of Pinus pinaster Ait. following wounding by flash floods. Tree-Ring Research 66: 93-103.
9. Benson-Cooper, D., R. Knowles, and F. Thomson, 1982. Computed tomographic scanning for the detection of defects within logs. Forest Research Institute, New Zealand Service, Bulletin 8; 9 pp.
10. Bhandarkar, S., T. Faust, and M. Tang, 1999. Catalog: a system for detection and rendering of internal log defects using computer tomography. Machine Vision & Applications 11(4): 171-190.
11. Castell, W., S. Schrödl, and T. Seifert, 2005. Volume interpolation of CT images from tree trunks. Plant Biology 7(6):737-744.
12. Chang, S., 1990. NMR application for internal defect detection. In: Proceedings of Process Control/Production Management of Wood Products: Technology for the 90s. Athens, Georgia.
13. Chica-Olmo, M., and F. Abarca-Hernández, 2000. Computing geostatistical image texture for remotely sensed data classification. Computers & Geosciences 26(4):373-383.
14. Chilès, J., and P. Delfiner, 2008. Geostatistics: Modeling Spatial Uncertainty. Wiley Online Library; 720 pp.
15. Deutsch, C., and A. Journel, 1992. Gslib: Geostatistical Software Library and User's Guide. Oxford University Press, New York, 1992; 340 pp.
16. Fan, Z. X., A. Bräuning, Y. Bao, and K. F. Cao, 2009. Tree ring density-based summer temperature reconstruction for the central Hengduan Mountains in southern China. Global Planetary Change 65:1-11.
17. Fonti, P., N. Solomonoff, and I. García-González, 2007. Earlywood vessels of Castanea sativa record temperature before their formation. New Phytologist 173(3):562-70.
18. Freyburger, C., F. Longuetaud, F. Mothe, T. Constant, and J. Leban, 2009. Measuring wood density by means of x-ray computer tomography. Annals of Forest Science 66:804.
19. Fritts, H. C., 1976. Tree Rings and Climate. Academic Press, London; 567 pp.
20. Funt, B., and E. Bryant, 1985. A computer vision system that analyzes CT-scans of sawlogs. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 175-177. San Francisco, California.
21. -, 1987. Detection of internal log defects by automatic interpretation of computer tomography images. Forest Products Journal 37(1):56-62.
22. García Esteban, L., A. Guindeo Casasus, C. Peraza Oramas, and P. de Palacios, 2003. La madera y su anatomía: anomalías y defectos, estructura microscópica de coníferas y frondosas, identificación de maderas, descripción de especies y pared celular. Mundi-Prensa Libros; 327 pp.
23. Garcia-Gonzalez, I., and P. Fonti, 2006. Selecting early vessel to maximize their environmental signal. Tree Physiology 26: 1289-1296.
24. Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, USA; 483 pp.
25. Hodges, D., W. Anderson, and C. McMillin, 1990. The economic potential of CT scanners for hardwood sawmills. Forest Production Journal 40(3):65-69.
26. Isaaks, E., and R. Srivastava, 1989. Applied Geostatistics. Oxford University Press; 561 pp.
27. Journel, A., and C. Huijbregts, 1978. Mining Geostatistics, Vol. 859. Academic Press, New York; 600 pp.
28. Leban, J., A. Pizzi, S. Wieland, M. Zanetti, M. Properzi, and F. Pichelin, 2004. X-ray microdensitometry analysis of vibration-welded wood. Journal of Adhesion Science and Technology 18(6):673-685.
29. Longuetaud, F., 2005. Détection et Analyse Non Destructive de Caractéristiques Internes de Billons D'epicéa Commun (Picea abies (l.) karst.) par Tomographie á Rayons x. Ph.D. thesis, ENGREF (AgroParisTech).
30. Longuetaud, F., L. Saint-André, and J. Leban, 2005. Automatic detection of annual growth units on Picea abies logs using optical and x-ray techniques. Journal of Nondestructive Evaluation 24(1):29-43.
31. Matheron, G., 1965. Les Variables Régionalisées et Leur Estimation: Une Application de la Théorie des Fonctions Aléatoires aux Sciences de la Nature. Masson Paris, France; 305 pp.
32. Olea, R. A., 1994. Fundamentals of semivariogram estimation, modeling, and usage. In: CA 3: Stochastic Modeling and Geostatistics, edited by J. M. Yarus, and R. L. Chambers, pp. 27-35. American Association of Petroleum Geology Special Volume, Tulsa, Oklahoma.
33. Roder, F., E. Scheinman, and P. Magnuson, 1989. High-speed CT scanning of logs. In: Proceedings of the 3rd International Conference on Scanning Technology in Sawmilling; pp VI, pp. 1-9. Oct. 5-6 Oakland, CA.
34. Romero, C., B. M. Bolker, and C. E. Edwards, 2009. Stem responses to damage: the evolutionary ecology of Quercus species in contrasting fire regimes. New Phytologist 182:261-271.
35. Schinker, M., N. Hansen, and H. Spiecker, 2003. High-frequency densitometry - A new method for the rapid evaluation of wood density variations. IAWA Journal 24(3): 231-239.
36. Schneuwly, D. M., M. Stoffel, and M. Bollschweiler, 2009a. Formation and spread of callus tissue and tangential rows of resin ducts in Larix decidua and Picea abies following rockfall impacts. Tree Physiology 29:281-289.
37. Schneuwly, D. M., M. Stoffel, L. K. A. Dorren, and F. Berger, 2009b. Three-dimensional analysis of the anatomical growth response of European conifers to mechanical disturbance. Tree Physiology 29:1247-1257.
38. Schweingruber, F., A. Börner, and E. Schulze, 2006. Atlas of Woody Plant Stems: Evolution, Structure, and Environmental Modifications. Springer-Verlag, Berlin; 229 pp.
39. Shigo, A., 1984. Compartmentalization: a conceptual framework for understanding how trees grow and defend themselves. Annual Review of Phytopathology 22(1):189-214.
40. Smith, K. T., and E. K. Sutherland, 1999. Fire scar formation and compartmentalization in oak. Canadian Journal of Forest Research 29:166-171.
41. Stoffel, M., and M. Bollschweiler, 2008. Tree-ring analysis in natural hazards research - An overview. Natural Hazards & Earth System Sciences 8:187-202.
42. Stoffel, M., and O. M. Hitz, 2008. Snow avalanche and rockfall impacts leave different anatomical signatures in tree rings of Larix decidua. Tree Physiology 28(11):1713-1720.
43. Stoffel, M., and M. Bollschweiler, 2010. Tree-ring analysis in natural hazards research - Preface. Natural Hazards & Earth System Sciences 10:2355-2357.
44. Stoffel, M., M. Bollschweiler, D. R. Butler, and B. H. Luckman, 2010. Tree rings and natural hazards: A state-of-the-art. Springer, Berlin, Heidelberg, New York; 505 pp.
45. Stoffel, M., and M. Klinkmüller, 2013. 3D analysis of anatomical reactions in conifers after mechanical wounding: first qualitative insights from X-ray computed tomography. Trees. doi: 10.1007/s00468-013-0900-2.
46. Stoffel, M., D. R. Butler, and C. Corona, 2013. Mass movements and tree rings: A guide to dendrogeomorphic field sampling and dating. Geomorphology. doi: 10.1016/j. geomorph.2012.12.017.
47. Van den Bulcke, J., E. L. G. Wernersson, M. Dierick, D. V. Loo, B. Masschaele, L. Brabant, M. N. Boone, L. Van Hoorebeke, K. Haneca, A. Brun, C. L. L. Hendriks, and J. Van Acker, 2014. 3D tree-ring analysis using helical X-ray tomography. Dendrochronologia 32:39-46.
48. Wagner, F., F. Taylor, D. Ladd, C. McMillin, and F. Roder, 1989. Ultrafast CT scanning of an oak log for internal defects. Forest Products Journal 39(11/12):62-64.
49. Webster, R., and M. Oliver, 2007. Geostatistics for Environmental Scientists. Wiley, West Sussex, England.
50. Wilcoxon, F., 1945. Individual comparisons by ranking methods. Biometrics Bulletin 1(6):80-83.