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Effects of planting density on the distribution of biomass in a douglas-fir plantation in southern Italy

Pasquale A Marziliano (1)   , Vittoria Coletta (2), Giuliano Menguzzato (1), Antonino Nicolaci (3), Gaetano Pellicone (2), Antonella Veltri (2)

iForest - Biogeosciences and Forestry, Volume 8, Issue 3, Pages 368-376 (2015)
doi: https://doi.org/10.3832/ifor1078-007
Published: Sep 09, 2014 - Copyright © 2015 SISEF

Research Articles


The effects of initial planting densities on the distribution of above-ground biomass of Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco var. menziesii) were investigated in a plantation in southern Italy. Allometric equations designed for the plantation under study were used to estimate above-ground biomass and in particular partitioning to stem and crown compartments. A comparison between biomass estimated with allometric equations and biomass estimated with a constant biomass expansion factor (BEF) from the Italian National Forest Inventory (INFC 2005) was carried out. Moreover, a BEF calculated as the ratio of total above-ground or compartment biomass to stem volume was used to define the sensitivity of BEF to age and to tree density. Variation of above-ground standing biomass estimated with allometric equations was evaluated according to 6 differing planting densities (833, 1000, 1250, 1667, 2000 and 2500 trees per hectare). In the first 20 years after planting higher biomass stock was detected in high density plots, but after the age of 32 years differences between plots disappeared. When the plantation was 40 years old, a higher amount of total biomass was observed in plots of 2000 trees per hectare (about 405 Mg ha-1), a lower amount in plots of 2500 trees per hectare (about 381 Mg ha-1). The Douglas-fir plantation has a total above-ground carbon stock of 197 Mg C ha-1 at the age of 40 and a mean annual CO2 sequestration of 18 Mg ha-1 y-1. Constant BEF from INFC underestimated biomass on average by 11% for ages 15 and 25 and overestimated biomass on average by 16% for older ages. BEFs expressed as a ratio of biomass to stem volume significantly depended upon age and planting density, with decreasing trends for total, stem and crown compartments. Our results indicated that total above-ground biomass production is not influenced by different tree density if considered over a long period. If cutting cycles are short, planting density on average of 2000 trees per hectare may ensure high biomass production rates; if cutting cycles are longer, 1000-1200 trees per hectare could also be a valid choice.

  Keywords


Allometric Equations, Biomass, Biomass Expansion Factor, Carbon, Douglas-fir, Planting Density, Spacing Trial

Authors’ address

(1)
Pasquale A Marziliano
Giuliano Menguzzato
Department of Agraria, Mediterranean University of Reggio Calabria, loc. Feo di Vito, I-89060 Reggio Calabria (Italy)
(2)
Vittoria Coletta
Gaetano Pellicone
Antonella Veltri
ISAFoM, Institute for Mediterranean Agriculture and Forest Systems, CNR - National Research Council, I-87037 Rende (CS, Italy)
(3)
Antonino Nicolaci
Department of Chemical and Environmental Engineering, University of Calabria, Campus di Arcavacata, I-87037 Rende (CS, Italy)

Corresponding author

 
Pasquale A Marziliano
pasquale.marziliano@unirc.it

Citation

Marziliano PA, Coletta V, Menguzzato G, Nicolaci A, Pellicone G, Veltri A (2015). Effects of planting density on the distribution of biomass in a douglas-fir plantation in southern Italy. iForest 8: 368-376. - doi: 10.3832/ifor1078-007

Academic Editor

Emanuele Lingua

Paper history

Received: Jul 18, 2013
Accepted: Jun 05, 2014

First online: Sep 09, 2014
Publication Date: Jun 01, 2015
Publication Time: 3.20 months

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(1)
Assmann E (1970)
The principles of forest yield study. Studies in the organic production, structure, increment and yield of forest stands. Pergamon Press, Oxford, UK, pp. 506.
Gscholar
(2)
Bartoli M (1971)
Premier résultats (a 11 et 15 ans) d’une expérience de densité sur le Douglas [First results (ages 11 and 15) of a density experience on Douglas-fir]. Revue Forestière Française 23 (6): 605-608. [in French]
CrossRef | Gscholar
(3)
Burkes EC, Will RE, Barron-Gafford GA, Teskey RO, Shiver B (2003)
Biomass partitioning and growth efficiency of intensively managed Pinus taeda and Pinus elliottii stands of different planting densities. Forest Science 49 (2): 224-234.
Online | Gscholar
(4)
Cantore V, Iovino F (1989)
Effetti dei diradamenti sull’umidità del suolo in popolamenti di douglasia della Catena Costiera (Calabria) [Effects of thinning on soil water content in Douglas-fir stands in the Coastal Chain (Calabria)]. Annali dell’Istituto Sperimentale per la Selvicoltura 20: 13-39. [in Italian]
Gscholar
(5)
Ciancio O (1971)
Sul clima e sulla distribuzione altimetrica della vegetazione forestale in Calabria [Climate and altimetric distribution of forest vegetation in Calabria]. Annali dell’Istituto Sperimentale per la Selvicoltura Arezzo 2: 321-370. [in Italian]
Gscholar
(6)
Ciancio O, Mercurio R, Nocentini S (1982)
Le specie forestali esotiche nella selvicoltura italiana [Exotic forest species in the Italian silviculture]. Annali dell’Istituto Sperimentale per la Selvicoltura Arezzo 12/13: 731. [in Italian]
Gscholar
(7)
Ciancio O, Garfì V, Menguzzato G (2005)
Effetti della densità di impianto sulla produzione in piantagioni di douglasia [Effects of planting density on productivity of Douglas fir plantations]. In: Proceedings of the IV SISEF Congress “Meridiani Foreste” (Caivano F, Girardi T, Pierangeli D, Borghetti M eds). Rifreddo (PZ, Italy) 7-10 Oct 2003. SISEF, Potenza, Italy, pp. 87-93. [in Italian]
Gscholar
(8)
Ciancio O, Garfì V, Marziliano PA, Menguzzato G, Pelle L (2008)
Effetti della densità di impianto in popolamenti di douglasia [Effects of planting densitiy on douglas fir stands]. L’Italia Forestale e Montana 59 (6): 519-534. [in Italian with English Absract]
CrossRef | Gscholar
(9)
Clark DA, Brown S, Kicklighter DW, Chambers JQ, Thomlinson JR, NI J (2001)
Measuring net primary production in forests: concepts and field methods. Ecological Applications 11: 356-370.
CrossRef | Gscholar
(10)
Corona P, Marziliano PA, Scotti R (2002)
Top-down growth modelling: a prototype for poplar plantations in Italy. Forest Ecology and Management 161: 65-73.
CrossRef | Gscholar
(11)
Correia AC, Tomé M, Pacheco CA, Faias S, Dias AC, Freire J, Carvalho PO, Pereira JS (2010)
Biomass allometry and carbon factors for a Mediterranean pine (Pinus pinea L,) in Portugal. Forest Systems 19 (3): 418-433.
CrossRef | Gscholar
(12)
Dean TJ, Long JN (1992)
Influence of leaf area and canopy on size-density relations in even-aged lodgepole pine stands. Forest Ecology and Management 49: 109-117.
CrossRef | Gscholar
(13)
Dean TJ (1991)
Effect of growth rate and wind sway on the relation between mechanical and water-flow properties in slash pine seedlings. Canadian Journal of Forest Research 21 (10): 1501-1506.
CrossRef | Gscholar
(14)
Devine WD, Harrington TB, Terry TA, Harrison RB, Slesak RA, Peter DH, Harrington CA, Shilling CJ, Schoenholtz SH (2011)
Five year vegetation control effects on aboveground biomass and nitrogen content and allocation in Douglas-fir plantations on three contrasting sites. Forest Ecology and Management 262: 2187-2198.
CrossRef | Gscholar
(15)
Dickens ED, Barnett JP, Hubbard WG, Jokela EJ (2004)
Slash pine: still growing and growing! Gen. Tech. Rep. SRS-76, USDA Forest Service, Southern Research Station, Asheville, NC, USA, pp. 148.
Gscholar
(16)
Dicus CA, Dean TJ (1998)
Stand density effects on biomass allocation patterns and subsequent soil nitrogen demand. In: Proceedings of the “9th Biennial Southern Silvicultural Research Conference” (Waldrop TA ed). Clemson (SC, USA) 25-27 Feb 1997. Gen. Tech. Report SRS-20, Southern Research Station, USDA Forest Service, Ashevill, NC, USA, pp. 564-568.
Gscholar
(17)
Escobedo FJ, Nowak DJ (2009)
Spatial heterogeneity and air pollution removal by an urban forest. Landscape and Urban Planning 90: 102-110.
CrossRef | Gscholar
(18)
FAO (1998)
World reference base for soil resources. The latest WRB classification manual. Food and Agriculture Organization of the United Nations, Rome, Italy, pp. 128.
Gscholar
(19)
Ford ED (1985)
Branching. crown structure and control of timber production. In: “Attributes of trees as crop plants” (Cannell MGR, Jackson JE eds). Institute of Terrestrial Ecology, Abbots Ripton, UK, pp. 228-252.
Gscholar
(20)
Houghton JT, Meira Filho LG, Lim B, Treanton K, Mamaty I, Bonduki Y, Griggs DJ, Callander BA (1997)
Revised 1996 guidelines for national greenhouse gas inventories. IPCC/OECD/IEA, Paris, France.
Gscholar
(21)
INFC (2005)
Linee generali del progetto per il secondo inventario forestale nazionale italiano [General guidelines of the project for the second national italian forest inventory]. In: “Inventario Nazionale delle Foreste e dei serbatoi forestali di Carbonio” (De Natale F, Floris A, Gasparini P, Scrinzi G, Tabacchi G, Tosi V eds). MiPAF - Ispettorato Generale del Corpo Forestale dello Stato, ISAFA, Trento, Italy, pp. 57. [in Italian]
Gscholar
(22)
IPCC (2003)
Good practice guidelines for land use, land-use change and forestry. Intergovernmental Panel on Climate Change, Institute for Global Environmental Strategies (IGES) for the IPCC, Hayama, Japan, pp. 599.
Online | Gscholar
(23)
Jones EP (1987)
Slash pine plantation study - age 30. In: Proceedings of the “4th Biennial Southern Silviculture Conference” (Phyllips JR ed). Atlanta (GA, USA) 4-6 Nov 1986. Gen. Tech. Rep. SE-42, Southeastern Forest Experiment Station, USDA Forest Service, Asheville, NC, USA, pp. 45-49.
Gscholar
(24)
Kauppi PE, Tomppo E, Ferm A (1995)
C and N storage in living trees within Finland since 1950s. Plant and Soil 168-169 (1): 633-638.
CrossRef | Gscholar
(25)
Kenk G (1981)
Auswirkungen von Douglasien-Pflanzverbanden auf Aststarken und Vernutzung sowie Uberlegungen zur Astungshohe [Impacts of planting density in a Douglas-fir plantation on the branches basal diameter and insertion height]. Allg Forst und Jagdzeitung 152 (8/9): 168-180. [in German]
Gscholar
(26)
La Marca O (1985)
Preliminary results on spacing of trees in some Douglas-fir plantations in Italy. In: Proceedings of the IUFRO Project Group P4.02.02 Meeting “The influence of spacing and selectivity in thinning on stand development. Operations and economy” (Gallagher G ed). Dublin (Ireland) 24-28 Sep 1984. IUFRO, Vienna, Austria, pp 169.
Gscholar
(27)
La Marca O, Marziliano PA, Moretti N (1998)
Experimental research in ageing holm oak (Quercus ilex L.) coppices: preliminary results. Annales des Sciences Forestières 55: 461-476.
CrossRef | Gscholar
(28)
Lehtonen A, Mäkipää R, Heikkinen J, Sievänen R, Liski J (2004)
Biomass expansion factors (BEF) for Scots pine. Norway spruce and birch according to stand age for boreal forests. Forest Ecology and Management 188: 211-224.
CrossRef | Gscholar
(29)
Levy PE, Hale SE, Nicoll BC (2004)
Biomass expansion factors and root:shoot ratios for coniferous tree species in Great Britain. Forestry 77: 421-430.
CrossRef | Gscholar
(30)
Marziliano PA, Menguzzato G, Scuderi A, Corona P (2012)
Simplified methods to inventory the current annual increment of forest standing volume. iForest 5: 276-282.
CrossRef | Gscholar
(31)
Marziliano PA, Lafortezza R, Colangelo G, Davies C, Sanesi G (2013)
Structural diversity and height growth models in urban forest plantations: A case-study in northern Italy. Urban Forestry and Urban Greening 12 (2): 246-254.
CrossRef | Gscholar
(32)
McClain KM, Morris DM, Hills SC, Buse LJ (1994)
The effects of initial spacing on growth and crown development for planted northern conifers: 37-year results. The Forestry Chronicle 70 (2): 174-182.
CrossRef | Gscholar
(33)
McPherson EG, Simpson JR (2000)
Carbon dioxide reductions through urban forestry: guidelines for professional and volunteer tree planters. Report no. PSW GTR-171, Pacific Southwest Research Station, USDA Forest Service, Albany, CA, USA, pp. 237.
Gscholar
(34)
Menguzzato G, Tabacchi G (1995)
Prove sperimentali sulle distanze d’impianto in piantagioni di douglasia sulla Catena Costiera (Calabria) [Experimental trials on planting densities in Douglas fir plantations on the Coastal Chain (Calabria)]. L’Italia Forestale e Montana 50 (2): 170-189. [in Italian]
Gscholar
(35)
Mitchell KJ, Oswald H, Ottorini JM (1983)
Modelling the growth of Douglas-fir in France. Mitteilungen der Forstlichen Bundesversuchsanstalt Wien 147:25-39.
Gscholar
(36)
Moller CM (1947)
The effect of thinning, age, and site on foliage, increment, and loss of dry matter. Journal of Forestry 45: 393-404.
Gscholar
(37)
Montgomery D (2001)
Introduction to statistical quality control (4th edn). John Wiley & Sons, New York, USA, pp. 795.
Gscholar
(38)
Oliver CD, Larson BC (1996)
Forest stand dynamics (update edn). John Wiley and Sons, New York, USA, pp. 467
Gscholar
(39)
Pavari A (1959)
Le classificazioni fitoclimatiche ed i caratteri della stazione [Phytoclimatic classifications and station characteristics]. Scritti di ecologia selvicoltura e botanica forestale, pp. 45-116. [in Italian]
Gscholar
(40)
R Development Core Team (2008)
R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Online | Gscholar
(41)
Ravindranath NH, Ostwald M (2008)
Carbon inventory methods. Handbook for greenhouse gas inventory, carbon mitigation and roundwood production projects. Advances in Global Change Research 29, Springer, Heidelberg, Germany, pp. 304.
Gscholar
(42)
Reukema DL (1979)
Fifty-year development of Douglas-fir stands planted at various spacings. Research Paper PNW-253, Pacific Northwest Forest and Range Experiment Station, USDA Forest Service, Portland, OR, USA, pp. 21.
Gscholar
(43)
Sanesi G, Lafortezza R, Marziliano PA, Ragazzi A, Mariani L (2007)
Assessing the current status of urban forest resources in the context of “Parco Nord”, Milan, Italy. Landscape and Ecological Engineering 3: 187-198.
CrossRef | Gscholar
(44)
Satoo T, Madgwick HAI (1982)
Forest biomass. Martinus Nijhoff/Junk, The Hague, London, pp. 152.
Gscholar
(45)
Schoene D (2002)
Terminology in assessing and reporting forest carbon change. In: “Second expert meeting on harmonizing forest-related definitions for use by various stakeholders”. FAO, Rome, Italy, pp. 8.
Gscholar
(46)
Soliani L (2008)
Statistica applicata [Applied statistics]. UNI.NOVA, Parma, Italy, pp. 694.
Gscholar
(47)
Somogyi Z, Cienciala E, Mäkipää R, Muukkonen P, Lehtonen A, Weiss P (2007)
Indirect methods of large-scale forest biomass estimation. European Journal of Forest Research 126 (2): 197-207.
CrossRef | Gscholar
(48)
Tabacchi G, Di Cosmo L, Gasparini P (2011)
Aboveground tree volume and phytomass prediction equations for forest species in Italy. European Journal of Forest Research 130 (6): 911-934.
CrossRef | Gscholar
(49)
UNEP (1997)
Kyoto protocol to the United Nations framework convention on climate change. United Nations Environmental Program, Kyoto, Japan, pp. 20.
Gscholar
(50)
Vande Walle I, Van Camp N, Perrin D, Lemeur R, Verheyen K, Van Wesemael B, Laitat E (2005)
Growing stock-based assessment of the carbon stock in the Belgian forest biomass. Annals of Forest Science 62 (8): 853-864.
CrossRef | Gscholar
(51)
Waring RH, Schlesinger WH (1985)
Forest ecosystems: concepts and management. Academic Press, Orlando, FL, USA, pp. 340.
Gscholar
(52)
Wirth C, Schumacher J, Schulze ED (2004)
Generic biomass functions for Norway spruce in central Europe - a meta-analysis approach toward prediction and uncertainty estimation. Tree Physiology 24: 121-139.
CrossRef | Gscholar
(53)
Zar JH (1996)
Biostatistical analysis (3rd edn). Prentice Hall Inc., Englewood Cliffs, NJ, USA, pp. 718.
Gscholar
 

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