Biomass allometry and carbon factors for a Mediterranean pine (Pinus pinea L.) in Portugal

Forests play an important role in the global carbon balance because they offset a large portion of the carbon dioxide emitted through human activities. Accurate estimates are necessary for national reporting of greenhouse gas inventories, carbon credit trading and forest carbon management but in Portugal reliable and accessible forest carbon measurement methodologies are still lacking for some species. The objective of this study was to provide forest managers with a comprehensive database of carbon factors and equations that allows estimating stand-level carbon stocks in Pinus pinea L. (P. pinea), regardless of the tree inventory information available. We produced aboveground biomass and stem volume equations, biomass expansion factors (BEF) by component as well as wood basic density (WBD) and component carbon fraction in biomass. A root-to-shoot ratio is also presented using data from trees in which the root system was completely excavated. We harvested 53 trees in centre and south Portugal covering different sizes (6.5 to 56.3 cm), ages (10 to 45 years) and stand densities (20 to 580 trees ha-1). The results indicate that aboveground allometry in P. pinea is not comparable with other pines and varies considerably with stand characteristics, highlighting the need to develop stand-dependent factors and equations for local or regional carbon calculations. BEFaboveground decreases from open (1.33±0.03 Mg m-3) to closed stands (1.07±0.01 Mg m-3) due to a change in biomass allocation pattern from stem to branches. Average WBD was 0.50±0.01 Mg m-3 but varies with tree dimensions and the root-to-shoot ratio found was 0.30±0.03. The carbon fraction was statistically different from the commonly used 0.5 factor for some biomass components. The equations and factors produced allow evaluating carbon stocks in P. pinea stands in Portugal, contributing to a more accurate estimation of carbon sequestered by this forest type.

[1]  Maurizio Mencuccini,et al.  Climate influences the leaf area/sapwood area ratio in Scots pine. , 1995, Tree physiology.

[2]  Didier Bert,et al.  Allometric relationships for branch and tree woody biomass of Maritime pine (Pinus pinaster Aı̈t.) , 2002 .

[3]  S. Mutke,et al.  Shoot growth and phenology modelling of grafted stone pine (Pinus pinea L.) in Inner Spain , 2003 .

[4]  Laurent Saint-André,et al.  Age-related equations for above- and below-ground biomass of a Eucalyptus hybrid in Congo , 2005 .

[5]  R. Mäkipää,et al.  Indirect methods of large-scale forest biomass estimation , 2007, European Journal of Forest Research.

[6]  P. Quézel,et al.  Ecologie et biogéographie des forêts du bassin méditerranéen , 2003 .

[7]  B. Parresol.  Assessing Tree and Stand Biomass: A Review with Examples and Critical Comparisons , 1999, Forest Science.

[8]  Margarida Tomé,et al.  Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass , 2007 .

[9]  Eileen H. Helmer,et al.  Root biomass allocation in the world's upland forests , 1997, Oecologia.

[10]  P. Ritson,et al.  Measurement and prediction of biomass and carbon content of Pinus pinaster trees in farm forestry plantations, south-western Australia , 2003 .

[11]  Bernadette Bensaude‐Vincent.  Atomism and Positivism: A Legend about French Chemistry , 1999 .

[12]  Matthias Peichl,et al.  Allometry and partitioning of above- and belowground tree biomass in an age-sequence of white pine forests , 2007 .

[13]  Jan Čermák,et al.  Above- and belowground phytomass and carbon storage in a Belgian Scots pine stand , 1999 .

[14]  Eero Nikinmaa,et al.  Crown rise due to competition drives biomass allocation in silver birch , 2003 .

[15]  Brian Tobin,et al.  Biomass expansion factors for Sitka spruce (Picea sitchensis (Bong.) Carr.) in Ireland , 2007, European Journal of Forest Research.

[16]  F. Bravo,et al.  Carbon Sequestration in Mediterranean Pine Forests , 2008 .

[17]  Juha Heikkinen,et al.  Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests , 2003 .

[18]  Richard H. Waring,et al.  Application of the pipe model theory to predict canopy leaf area. , 1982 .

[19]  Emmanuel S. Gritti,et al.  Quantifying components of risk for European woody species under climate change , 2006 .

[20]  Modelação do crescimento e da produção de pinha no pinheiro manso , 2009 .

[21]  R. Calama,et al.  Stand and tree-level variability on stem form and tree volume in Pinus pinea L.: A multilevel random components approach , 2006 .

[22]  Ben Bond-Lamberty,et al.  Aboveground and belowground biomass and sapwood area allometric equations for six boreal tree species of northern Manitoba , 2002 .

[23]  Bruce J. Zobel,et al.  Wood Variation: Its Causes and Control , 1989 .

[24]  S. Lamlom,et al.  A reassessment of carbon content in wood: variation within and between 41 North American species , 2003 .

[25]  R. Petit,et al.  GENETICALLY DEPAUPERATE BUT WIDESPREAD: THE CASE OF AN EMBLEMATIC MEDITERRANEAN PINE , 2008, Evolution; international journal of organic evolution.

[26]  M. Vaz,et al.  Water-use strategies in two co-occurring Mediterranean evergreen oaks: surviving the summer drought. , 2007, Tree physiology.

[27]  Allie Goldstein,et al.  State of the Voluntary Carbon Markets 2007 , 2007 .

[28]  Raisa Mäkipää,et al.  Biomass and stem volume equations for tree species in Europe , 2005, Silva Fennica Monographs.

[29]  N. H. Ravindranath,et al.  Carbon Inventory Methods : Chinese translation of the English language edition: Carbon Inventory Methods – handbook for greenhouse gas inventory, carbon mitigation and roundwood production projects , 2007 .

[30]  F. Danjon,et al.  Carbon concentration variations in the roots, stem and crown of mature Pinus pinaster (Ait.) , 2006 .

[31]  Ilya Gelfand,et al.  Biogeochemical factors contributing to enhanced carbon storage following afforestation of a semi-arid shrubland , 2007 .

[32]  M. B. Garzón,et al.  Effects of climate change on the distribution of Iberian tree species , 2008 .

[33]  S. Fineschi,et al.  EUFORGEN Technical Guidelines for genetic conservation and use for Italian stone pine (Pinus pinea) , 2008 .

[34]  R. Ruiz-Peinado,et al.  Producción de biomasa y fijación de CO2 por los bosques españoles , 2011 .

[35]  I. Oliveras,et al.  Hydraulic properties of Pinus halepensis, Pinus pinea and Tetraclinis articulata in a dune ecosystem of Eastern Spain , 2003, Plant Ecology.

[36]  Oscar García,et al.  Evaluating forest Growth Models , 1997 .

[37]  Jeffrey Q. Chambers,et al.  MEASURING NET PRIMARY PRODUCTION IN FORESTS: CONCEPTS AND FIELD METHODS , 2001 .

[38]  Jerome K. Vanclay,et al.  Evaluating a growth model for forest management using continuous forest inventory data , 1995 .

[39]  Sophie E. Hale,et al.  Biomass expansion factors and root: shoot ratios for coniferous tree species in Great britain , 2004 .

[40]  S. Mutke,et al.  Cone Yield Characterization of a Stone Pine (Pinus pinea L.) Clone Bank , 2005 .

[41]  E. Nikinmaa,et al.  Crown architecture of grafted Stone pine (Pinus pinea L.): shoot growth and bud differentiation , 2004, Trees.

[42]  K. Pregitzer,et al.  Biomass partitioning in red pine (Pinus resinosa) along a chronosequence in the Upper Peninsula of Michigan , 2007 .

[43]  Bernard R. Parresol,et al.  Additivity of nonlinear biomass equations , 2001 .

[44]  J. Deckers,et al.  World Reference Base for Soil Resources , 1998 .

[45]  M. G. Ryan,et al.  The relationship between tree height and leaf area: sapwood area ratio , 2002, Oecologia.

[46]  S. Mutke,et al.  Variability of Mediterranean Stone pine cone production: Yield loss as response to climate change , 2005 .

[47]  S. Berberoglu,et al.  Quantifying Carbon Budgets Of Conifer Mediterranean Forest Ecosystems, Turkey , 2006, Environmental monitoring and assessment.

[48]  R. H. Myers.  Classical and modern regression with applications , 1986 .

[49]  M. G. Ryan,et al.  Hydraulic Limits to Tree Height and Tree Growth , 1997 .

[50]  Hideki Kobayashi,et al.  How to quantify tree leaf area index in an open savanna ecosystem: A multi-instrument and multi-model approach , 2010 .