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Plant traits and wood fates across the globe: rotted, burned, or consumed?

CORNWELL, WILLIAM K., CORNELISSEN, JOHANNES H. C., ALLISON, STEVEN D., BAUHUS, JÜRGEN, EGGLETON, PAUL, PRESTON, CAROLINE M., SCARFF, FIONA, WEEDON, JAMES T., WIRTH, CHRISTIAN, ZANNE, AMY E.·2009·Global Change Biology

Abstract

Wood represents the defining feature of forest systems, and often the carbon in woody debris has a long residence time. Globally, coarse dead wood contains 36–72 Pg C, and understanding what controls the fate of this C is important for predicting C cycle responses to global change. The fate of a piece of wood may include one or more of the following: microbial decomposition, combustion, consumption by insects, and physical degradation. The probability of each fate is a function of both the abiotic environment and the wood traits of the species. The wood produced by different species varies substantially in chemical, micro‐ and macro‐morphological traits; many of these characteristics of living species have ‘afterlife’ effects on the fate and turnover rate of dead wood. The colonization of dead wood by microbes and their activity depends on a large suite of wood chemical and anatomical traits, as well as whole‐plant traits such as stem‐diameter distributions. Fire consumption is driven by a slightly narrower range of traits with little dependence on wood anatomy. Wood turnover due to insects mainly depends on wood density and secondary chemistry. Physical degradation is a relatively minor loss pathway for most systems, which depends on wood chemistry and environmental conditions. We conclude that information about the traits of woody plants could be extremely useful for modeling and predicting rates of wood turnover across ecosystems. We demonstrate how this trait‐based approach is currently limited by oversimplified treatment of dead wood pools in several leading global C models and by a lack of quantitative empirical data linking woody plant traits with the probability and rate of each turnover pathway. Explicitly including plant traits and woody debris pools in global vegetation climate models would improve predictions of wood turnover and its feedback to climate.

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Research works printed but not linked: 162

  1. 10.1016/j.cub.2005.03.043 · DOI
  2. 10.1111/j.1365-2486.2008.01674.x · DOI · Paper page
  3. 10.1071/WF9950081 · DOI
  4. 10.1071/WF9970021 · DOI
  5. 10.1007/s00442-004-1679-z · DOI · Paper page
  6. 10.1021/ie00042a001 · DOI · Paper page
  7. 10.1016/j.ibiod.2006.01.007 · doi:10.1016/j.ibiod.2006.01.007
  8. Attiwill PM, 1987, Forest Soils and Nutrient Cycles
  9. 10.1038/nature05038 · DOI · Paper page
  10. 10.2307/3544505 · DOI
  11. 10.1515/HF.2005.081 · doi:10.1515/hf.2005.081
  12. 10.1017/S0266467403003328 · DOI
  13. 10.1007/BF00351575 · doi:10.1007/bf00351575
  14. 10.1111/j.1469-8137.2005.01528.x · DOI
  15. 10.1029/1999GB900067 · DOI · Paper page
  16. 10.1016/S0958-9465(02)00072-0 · doi:10.1016/s0958-9465(02)00072-0
  17. Boddy L, 2001, Ecology of woody debris in boreal forests, 43
  18. 10.1016/S0275-0287(08)80014-8 · doi:10.1016/s0275-0287(08)80014-8
  19. 10.1126/science.1155121 · DOI · Paper page
  20. 10.1016/S0269-7491(01)00212-3 · DOI · Paper page
  21. 10.2307/2989627 · doi:10.2307/2989627
  22. 10.2136/sssaj1994.03615995005800010033x · DOI
  23. 10.1139/x00-124 · DOI
  24. 10.1086/297404 · DOI
  25. 10.2307/2657121 · doi:10.2307/2657121
  26. 10.3732/ajb.93.7.963 · doi:10.3732/ajb.93.7.963
  27. 10.1007/978-3-662-04578-7 · DOI · Paper page
  28. 10.1007/s004420050044 · DOI · Paper page
  29. 10.1126/science.1117368 · DOI · Paper page
  30. 10.1111/j.1461-0248.2009.01285.x · DOI · Paper page
  31. 10.1111/j.1469-8137.2007.02317.x · DOI · Paper page
  32. 10.1016/0964-8305(95)00109-3 · DOI
  33. Colman JJ, 2003, 5th Symposium on Fire and Forest meteorology
  34. 10.1111/j.1461-0248.2007.01051.x · DOI · Paper page
  35. 10.1890/07-1134.1 · DOI · Paper page
  36. 10.1111/j.1365-2435.2007.01323.x · DOI
  37. 10.1111/j.1461-0248.2008.01219.x · DOI · Paper page
  38. 10.1046/j.1365-2486.2001.00383.x · DOI · Paper page
  39. Crowson RA, 1981, The Biology of the Coleoptera
  40. 10.1046/j.1365-2699.2003.00883.x · DOI
  41. 10.1007/s11258-006-9257-6 · DOI
  42. 10.1016/j.combustflame.2004.07.009 · DOI
  43. Defo M, 2006, A log drying model and its application to the simulation of the impact of bark loss, Forest Products Journal, 62, 71
  44. 10.1111/j.1744-7429.1998.tb00364.x · DOI
  45. 10.1016/S0165-2370(98)00079-5 · DOI · Paper page
  46. 10.1007/978-94-011-0693-1 · DOI · Paper page
  47. 10.1046/j.1469-8137.2000.00686.x · DOI · Paper page
  48. Drysdale D, 1998, An Introduction to Fire Dynamics
  49. 10.1007/978-94-017-3223-9_2 · doi:10.1007/978-94-017-3223-9_2
  50. Euskirchen E, Changes in plant communities in Northern Alaska under scenarios of climate change 2003–2100, Ecological Applications
  51. 10.1071/WF00011 · DOI
  52. Evert RF, 2007, Esau's Plant Anatomy: Meristems, Cells, and Tissues of the Plant Body: Their Structure, Function, and Development
  53. 10.1016/S0038-0717(02)00251-1 · DOI · Paper page
  54. 10.1139/x05-021 · doi:10.1139/x05-021
  55. 10.1016/B978-012276460-8/50016-3 · doi:10.1016/b978-012276460-8/50016-3
  56. 10.1890/1051-0761(2002)012[0891:FCSITN]2.0.CO;2 · DOI · Paper page
  57. 10.1016/j.foreco.2006.05.004 · DOI · Paper page
  58. 10.1016/j.soilbio.2007.01.038 · doi:10.1016/j.soilbio.2007.01.038
  59. 10.1016/S0065-2504(08)60121-X · DOI · Paper page
  60. 10.2307/2269398 · DOI
  61. 10.1007/BF00020868 · doi:10.1007/bf00020868
  62. 10.2307/2388916 · doi:10.2307/2388916
  63. 10.1016/0016-7037(85)90165-6 · DOI · Paper page
  64. Hennon P, 2007, Deterioration of wood from live and dead Alaska yellow‐cedar in contact with soil, Forest Products Journal, 57, 23
  65. 10.1007/s10021-008-9141-4 · DOI
  66. 10.1016/j.gca.2003.09.015 · DOI
  67. 10.2307/2963492 · DOI · Paper page
  68. Jackson RB, 2007, Functional Plant Ecology, 151, 10.1201/9781420007626-5 · doi:10.1201/9781420007626-5
  69. 10.2980/i1195-6860-12-2-151.1 · DOI
  70. 10.1017/CBO9780511623516 · DOI · Paper page
  71. Jurgensen MF, 1984, Nitrogen‐fixation associated with increased wood decay in Douglas‐Fir residue, Forest Science, 30, 1038
  72. KahlT(2008)Carbon Transport from Deadwood to the Soil[In German]. PhD Thesis Faculty of Forestry and Environmental Sciences University Freiburg Freiburg Germany 109 pp.http://www.freidok.uni‐freiburg.de/volltexte/5522/.
  73. 10.1023/A:1026175718177 · doi:10.1023/a:1026175718177
  74. 10.1080/15321799608014859 · DOI
  75. 10.1146/annurev.mi.41.100187.002341 · DOI · Paper page
  76. Kollmann FFP, 1984, Principles of Wood Science and Technology
  77. Krinner G, 2005, A dynamic global vegetation model for studies of the coupled atmosphere–biosphere system, Global Biogeochemical Cycles, 19, 1, 10.1029/2003GB002199 · DOI · Paper page
  78. 10.1139/X08-088 · doi:10.1139/x08-088
  79. Large M, 2004, Tree Ferns
  80. 10.1007/s00253-005-0010-1 · doi:10.1007/s00253-005-0010-1
  81. 10.1016/j.ecolmodel.2005.03.005 · DOI · Paper page
  82. 10.1111/j.1365-2486.2007.01420.x · DOI · Paper page
  83. 10.1111/j.1469-8137.1985.tb03685.x · doi:10.1111/j.1469-8137.1985.tb03685.x
  84. 10.1111/j.1365-2486.2007.01439.x · DOI · Paper page
  85. 10.1128/MMBR.66.3.506-577.2002 · DOI · Paper page
  86. 10.1071/BT02014 · DOI · Paper page
  87. 10.1093/treephys/20.13.859 · doi:10.1093/treephys/20.13.859
  88. 10.1111/j.1529-8817.2003.00778.x · DOI · Paper page
  89. Martin T, 2006, Wind damage and response in New Zealand forests, New Zealand Journal of Ecology, 30, 295
  90. Martinez AT, 2005, Biodegradation of lignocellulosics, International Microbiology, 8, 195
  91. Martius C, 1994, Diversity and ecology of termites in Amazonian forests, Pedobiologia, 38, 407, 10.1016/S0031-4056(24)00144-6 · DOI
  92. 10.1093/treephys/25.3.257 · DOI · Paper page
  93. 10.1029/92GB00219 · DOI · Paper page
  94. 10.1146/annurev.energy.31.020105.100253 · DOI · Paper page
  95. 10.1046/j.1365-3040.2003.01039.x · DOI · Paper page
  96. 10.1111/j.1469-8137.2005.01477.x · doi:10.1111/j.1469-8137.2005.01477.x
  97. 10.1021/ie950438l · DOI · Paper page
  98. 10.1890/0012-9615(2001)071[0557:AMFSVD]2.0.CO;2 · DOI · Paper page
  99. 10.1163/22941932-90000664 · doi:10.1163/22941932-90000664
  100. 10.1016/j.foreco.2005.05.018 · doi:10.1016/j.foreco.2005.05.018
  101. 10.1007/s00253-002-1189-z · DOI · Paper page
  102. 10.1029/2002JD002343 · doi:10.1029/2002jd002343
  103. 10.1126/science.1134853 · DOI · Paper page
  104. 10.1029/96GB01455 · DOI · Paper page
  105. 10.1016/j.foreco.2007.03.013 · doi:10.1016/j.foreco.2007.03.013
  106. 10.1007/BF02796102 · DOI
  107. 10.1007/s10584-006-0466-8 · DOI
  108. 10.5194/bg-3-397-2006 · DOI · Paper page
  109. 10.1016/S0378-1127(98)00307-7 · DOI
  110. 10.1111/j.1469-8137.2006.01712.x · DOI · Paper page
  111. 10.2307/1938919 · DOI · Paper page
  112. 10.1029/2004GB002366 · DOI
  113. 10.1023/B:JOEC.0000006459.88330.61 · doi:10.1023/b:joec.0000006459.88330.61
  114. 10.1016/0165-2370(91)80021-Y · DOI · Paper page
  115. 10.1007/s10342-008-0206-x · doi:10.1007/s10342-008-0206-x
  116. 10.1046/j.1469-8137.2001.00054.x · DOI · Paper page
  117. Romberger JA, 2004, Plant Structure: Function and Development: A Treatise on Anatomy and Vegetative Development, with Special Reference to Woody Plants
  118. 10.1201/9780203492437 · DOI · Paper page
  119. 10.1890/0012-9658(2000)081[0554:CTTIOG]2.0.CO;2 · DOI · Paper page
  120. 10.1093/treephys/9.1-2.147 · DOI · Paper page
  121. Sandved KB, 1993, Bark: the Formation, Characteristics, and Uses of Bark around the World
  122. 10.1146/annurev.py.04.090166.001051 · DOI
  123. Scheffrahn RH, 1991, Allelochemical resistance of wood to termites, Sociobiology, 19, 257
  124. 10.1111/j.1600-0587.1998.tb00388.x · DOI
  125. 10.1016/S0031-9422(99)00622-6 · DOI
  126. 10.1007/s10342-006-0111-0 · doi:10.1007/s10342-006-0111-0
  127. 10.1890/03-0570 · DOI
  128. 10.1034/j.1600-0706.2001.940213.x · DOI · Paper page
  129. Shevliakova E, Carbon cycling under 300years of land‐use change: the importance of the secondary vegetation sink, Global Biogeochemical Cycles
  130. 10.1046/j.1365-2486.2003.00569.x · DOI · Paper page
  131. Sjöström E, 1993, Wood Chemistry: Fundamentals and Applications
  132. 10.1046/j.1466-822X.2001.t01-1-00256.x · doi:10.1046/j.1466-822x.2001.t01-1-00256.x · Paper page
  133. 10.1007/s10980-006-9006-1 · DOI
  134. 10.1017/S0266467400008816 · DOI
  135. 10.1007/s10533-004-6395-6 · doi:10.1007/s10533-004-6395-6
  136. 10.3732/ajb.93.10.1490 · DOI · Paper page
  137. 10.1111/j.1365-3040.2007.01765.x · DOI · Paper page
  138. Stamm L, 2006, Measuring and Modelling Coarse Woody Debris in Tall Wet Eucalypt Forest in Southern Tasmania, 191
  139. Sterner RW, 2002, Ecological Stoichiometry: the Biology of Elements from Molecules to the Biosphere
  140. 10.3732/ajb.94.3.451 · DOI · Paper page
  141. Takamura K, 1999, Effects of termite exclusion on decay of a high‐density wood in tropical rain forests of Peninsular Malaysia, Pedobiologia, 43, 289, 10.1016/S0031-4056(24)00550-X · doi:10.1016/s0031-4056(24)00550-x
  142. 10.1021/cr000115l · DOI · Paper page
  143. Thornton PE, 1998, Regional Ecosystem Simulation: Combining Surface‐ and Satellite‐Based Observations to Study Linkages between Terrestrial Energy and Mass Budgets, 280
  144. 10.1007/s100210000041 · DOI · Paper page
  145. 10.1098/rsbl.2007.0073 · doi:10.1098/rsbl.2007.0073
  146. 10.1007/978-3-662-04931-0 · DOI · Paper page
  147. 10.1007/s11104-007-9437-8 · DOI · Paper page
  148. 10.1111/j.1469-8137.2006.01757.x · DOI · Paper page
  149. Vaucher H, 2003, Tree Bark: A Color Guide
  150. 10.1029/92JD01218 · DOI · Paper page
  151. 10.1007/s10086-004-0683-6 · doi:10.1007/s10086-004-0683-6
  152. 10.1111/j.1461-0248.2008.01259.x · DOI · Paper page
  153. 10.1111/j.1469-8137.1995.tb04299.x · doi:10.1111/j.1469-8137.1995.tb04299.x
  154. 10.1139/x05-003 · doi:10.1139/x05-003
  155. 10.1023/A:1020813505203 · DOI
  156. 10.1016/j.foreco.2004.03.042 · doi:10.1016/j.foreco.2004.03.042
  157. Wood TG, 1978, Production Ecology of Ants and Termites, 245
  158. 10.2307/3761073 · doi:10.2307/3761073
  159. 10.1007/s10021-005-0024-7 · doi:10.1007/s10021-005-0024-7
  160. Yarmishko VT, 1983, Structure of the root systems of woody plants in the mountains of northern Siberia, USSR, Botanicheskii Zhurnal, 68, 1225
  161. 10.1007/s004420050909 · DOI
  162. Zabel RA, 1992, Wood Microbiology – Decay and Its Prevention

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Metadata

Authors
CORNWELL, W. K., CORNELISSEN, J. H. C., ALLISON, S. D., BAUHUS, J., EGGLETON, P., PRESTON, C. M., SCARFF, F., WEEDON, J. T., WIRTH, C., & ZANNE, A. E.
Venue
Global Change Biology
Publisher
Wiley
Published
2009-09-04
Volume
15
Issue
10
Pages
2431-2449
ISSN
  • 1354-1013 (ISSN-L)
  • 1365-2486
OpenAlex
W2151713185
Cited by
410
References
8
FWCI
12.26
Type
journal article
Language
en
Open access
closed

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CORNWELL, W. K., CORNELISSEN, J. H. C., ALLISON, S. D., BAUHUS, J., EGGLETON, P., PRESTON, C. M., SCARFF, F., WEEDON, J. T., WIRTH, C., & ZANNE, A. E. (2009). Plant traits and wood fates across the globe: rotted, burned, or consumed? Global Change Biology. https://doi.org/10.1111/j.1365-2486.2009.01916.x

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