Comparison of carbon estimation methods for European forests

Forest Ecology and Management

Volumn 361, Issue , 2016, Pages 397-420

  Neumann, Mathias ^a   Moreno, Adam ^a   Mues, Volker ^b   Härkönen, Sanna ^c   Mura, Matteo ^d   Bouriaud, Olivier ^e   Lang, Mait ^f   Achten, Wouter M J ^g,n   Thivolle Cazat, Alain ^h   Bronisz, Karol ⁱ   Merganič, Ján ^j   Decuyper, Mathieu ^k   Alberdi, Iciar ^l   Astrup, Rasmus ^m   Mohren, Frits ^k   Hasenauer, Hubert ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^b UNIVERSITY OF HAMBURG   (Germany)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

^d UNIVERSITY OF MOLISE   (Italy)

^e University Street   (Romania)

^f TARTU OBSERVATORY   (Estonia)

^g UNIVERSITY OF LEUVEN   (Belgium)

^h Technological Institute   (France)

ⁱ WARSAW UNIVERSITY OF LIFE SCIENCES   (Poland)

^j CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE   (Czech Republic)

^k WAGENINGEN UNIVERSITY   (Netherlands)

^l Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria   (Spain)

^m NORWEGIAN INSTITUTE OF BIOECONOMY RESEARCH   (Norway)

ⁿ UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

more..

Author keywords

Allometric biomass functions; Biomass; Biomass expansion factors; Carbon; Europe; Forest inventory

Indexed keywords

BIOLOGY; BIOMASS; CARBON;

BETULA PENDULA ROTH; BIOMASS FUNCTIONS; CONCEPTUAL APPROACHES; EUROPE; EXPANSION FACTORS; FOREST INVENTORY; FOREST INVENTORY DATA; PICEA ABIES (L.) KARST;

FORESTRY;

ALLOMETRY; BIOMASS; CARBON BALANCE; CARBON SEQUESTRATION; CONIFEROUS TREE; DECIDUOUS TREE; FOREST ECOSYSTEM; FOREST INVENTORY;

EUROPE;

BETULA PENDULA; FAGUS SYLVATICA; PICEA ABIES; PINUS SYLVESTRIS; QUERCUS ROBUR;

EID: 84949310259     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2015.11.016     Document Type: Article

References (136)

1. Araújo T.M., Higuchi N., Andrade de Carvalho Junior J. Comparison of formulae for biomass content determination in a tropical rain forest site in the state of Para, Brazil. For. Ecol. Manage. 1999, 117:43-52.
2. Assmann E. The Principles of Forest Yield Study 1970, Pergamon press, New York, 506 p.
3. Balboa-Murias M.A., Rodríguez-Soalleiro R., Merino A., Álvarez-González J.G. Temporal variations and distribution of carbon stocks in aboveground biomass of radiata pine and maritime pine pure stands under different silvicultural regimes. For. Ecol. Manage. 2006, 237:29-38.
4. Balboa-Murias M.A., Rojo A., Álvarez J.G., Merino A. Carbon and nutrient stocks in mature Quercus robur L. stands in NW Spain. Ann. Forest Sci. 2006, 63(5):557-565.
5. Bartelink H.H. Allometric relationships on biomass and needle area of Douglas-fir. For. Ecol. Manage. 1996, 86(1-3):193-203.
6. Bartelink H.H. Allometric relationships for biomass and leaf area of beech (Fagus sylvatica L). Ann. Forest Sci. 1997, 54:39-50.
7. Bolte A., Rahmann T., Kuhr M., Pogoda P., Murach D., Gadow K.V. Relationships between tree dimension and coarse root biomass in mixed stands of European beech (Fagus sylvatica L.) and Norway spruce (Picea abies[L.] Karst.). Plant Soil 2004, 264:1-11. 10.1023/B:PLSO.0000047777.23344.a3.
8. Burger H. Holz, Blattmenge und Zuwachs. VIII. Mitteilung. Die Eiche. Mitteilungen der schweizerischen Anstalt für forstliches Versuchswesen 1947, 25:211-279. (in German).
9. Burger H. Holz, Blattmenge und Zuwachs. X. Mitteilung. Die Buche. Mitteilungen der schweizerischen Anstalt für forstliches Versuchswesen 1949, 26:419-468. (in German).
10. Burger H. Holz, Blattmenge und Zuwachs. XIII. Mitteilung. Fichten im gleichaltrigen Hochwald. Mitteilungen der schweizerischen Anstalt für forstliches Versuchswesen 1953, 29:38-130. (in German).
11. Canadell J.G., Le Quere C., Raupach M.R., Field C.B., Buitenhuis E.T., Ciais P., Canadell J.G., Que C.Le, Conway T.J., Gillett N.P., Houghton R.A., Marland G. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. PNAS 2007, 104:18866-18870.
12. Chave J., Coomes D., Jansen S., Lewis S.L., Swenson N.G., Zanne A.E. Towards a worldwide wood economics spectrum. Ecol. Lett. 2009, 12:351-366.
13. Chmelař T. Variability of the conventional wood density of spruce Picea abies (L.) Karst branches in dependence on the position of branches in crown. Lesnictvi (Prague) 1992, 38(2):127-135. (in Czech).
14. Cienciala E., Černý M., Apltauer J., Exnerová Z. Biomass functions applicable to European beech. J. Forest Sci. 2005, 51(4):147-154.
15. Cienciala E., Černý M., Tatarinov F., Apltauer J., Exnerová Z. Biomass functions applicable to Scots pine. Trees 2006, 20(4):483-495.
16. CITEPA, 2013. Rapport National d'Inventaire pour la France au Titre de la Convention Cadre des Nations Unies sur les Changement Climatiques et du Protocole de Kyoto, partie 1., 713 p. (in French).
17. Climate and Pollution Agency, 2013. National Inventory Report, Greenhouse Gas Emissions 1990-2011.
18. Curiel Yuste J., Konôpka B., Janssens I.A., Coenen K., Xiao C.W., Ceulemans R. Contrasting net primary productivity and carbon distribution between neighboring stands of Quercus robur and Pinus sylvestris. Tree Physiol. 2005, 25(6):701-712.
19. Dagnelie P., Palm R., Rondeux J., et al. Tables de cubage des arbres et des peuplements forestiers 1985, Les Presses Agronomiques de Gembloux, Gembloux, Belgium, (in French).
20. De Wit H.A., Palosuo T., Hylen G., Liski J. A carbon budget of forest biomass and soils in southeast Norway calculated using a widely applicable method. For. Ecol. Manage. 2006, 225:15-26. 10.1016/j.foreco.2005.12.023.
21. Diéguez-Aranda U, Rojo Alboreca A, Castedo-Dorado F, Álvarez González JG, Barrio-Anta M, Crecente-Campo F, González González JM, Pérez-Cruzado C, Rodríguez Soalleiro R, López-Sánchez CA, Balboa-Murias MA, Gorgoso Varela JJ, Sánchez Rodríguez F, 2009. Herramientas selvícolas para la gestión forestal sostenible en Galicia. Xunta de Galicia. ISBN: 978-84-692-7395-1 (in Spanish).
22. Drexhage M., Gruber F. Above- and below-stump relationships for Picea Abies: estimating root system biomass from breast-height diameters. Scand. J. For. Res. 1999, 14:328-333.
23. Drexhage M., Colin F. Estimating root system biomass from breast-height diameters. Forestry 2001, 74(5):491-497.
24. Eastaugh C.S., Kangur A., Korjus H., Kiviste A., Zlatanov T., Velickkov I., Srdjevic B., Srdjevic Z., Hasenauer H. Scaling issues and constraints in modelling of forest ecosystems: a review with special focus on user needs. Baltic Forest. 2013, 19:316-330.
25. Eastaugh C.S. Relationships between the mean trees by basal area and by volume: reconciling form factors in the classic Bavarian yield and volume tables for Norway spruce. Eur. J. For. Res. 2014, 133:871-877.
26. EUROSTAT, 2012. Europe in Figures, Eurostat Yearbook 2012, European Union, 698 p.
27. FAO, 2013. FAO STATISTICAL YEARBOOK, World Food and Agriculture, Food and Agriculture Organization of the United Nations, Rome, 307 p.
28. FOREST EUROPE, UNECE, FAO, 2011. State of Europe's Forests 2011. Status and Trends in Sustainable Forest Management in Europe, 344 p.
29. Federal Environmental Agency, 2012. Submission under the United Nations Framework Convention on Climate Change and the Kyoto Protocol. National Inventory Report for the German Greenhouse Gas Inventory 1990-2011, 885 p.
30. Federici S., Vitullo M., Tulipano S., De Lauretis R., Seufert G. An approach to estimate carbon stocks change in forest carbon pools under the UNFCCC: the Italian case. iForest - Biogeosciences For. 2008, 1:86-95.
31. Flemish Environment Agency, 2013. Belgium's Greenhouse Gas Inventory (1990-2011) National Inventory Report submitted under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.
32. Gabler K., Schadauer K. Methods of the Austrian Forest Inventory 2000/02 Origins, Approaches, Design, Sampling, Data Models, Evaluation and Calculation of Standard Error 2008, vol. 135. BFW-Berichte; Schriftenreihe des Bundesforschungs- und Ausbildungszentrums für Wald, Naturgefahren und Landschaft, Wien, 132 p.
33. Giurgiu V., Decei I., Armasescu S. Biometria arborilor si arboretelor din Romania- Tabele endrometrice 1972, Ed. Ceres, Bucuresti, Romania, (in Romanian).
34. Gracia, C., Sabatè, S., Vayreda, J., Ibáñez, J.J., 2002. Aboveground Biomass Expansion Factors and Biomass Equations of Forests in Catalonia. Presentation at the COST E21 Meeting, Besalu (Spain) July 2002.
35. Gruber, F., 1987. Das Verzweigungssystem und der Nadelfall der Fichte (Picea abies (L.) Karst.) als Grundlage zur Beurteilung von Waldschäden. Ber. Forschungszentrum Waldökosysteme/Waldsterben, Reihe A, 26 (in German).
36. Grundner, F., Schwappach, A., 1952. Massentafeln zur Bestimmung des Holzgehaltes stehender Waldbäume und Waldbestände. 10. Aufl. Verlag Paul Parey, Berlin, Hamburg, 216 p. (in German).
37. Gschwantner T., Gabler K., Schadauer K., Weiss P. National forest inventory reports, chapter 1: Austria. National Forest Inventories: Pathways for Common Reporting 2010, 57-71. Springer, Heidelberg, Dordrecht, London, New York. E. Tomppo, T.H. Gschwantner, M. Lawrence, R.E. McRoberts (Eds.).
38. Guo Z., Fang J., Pan Y., Birdsey R. Inventory-based estimates of forest biomass carbon stocks in China: a comparison of three methods. For. Ecol. Manage. 2010, 259(7):1225-1231.
39. Hamburg S.P., Zamolodchikov D.G., Korovin G.N., Nefedjev V.V., Utkin A.I., Gulbe J.I., Gulbe T.A. Eestimating the carbon content of Russian forests; a comparison of Phytomass/Volume and Allometric Projections. Mitig. Adapt. Strat. Glob. Change 1997, 2:247-265.
40. Härkönen S., Lehtonen A., Eerikäinen K., et al. Estimating forest carbon fluxes for large regions based on process-based modelling, NFI data and Landsat satellite images. For. Ecol. Manage. 2011, 262:2364-2377.
41. Hasenauer, H., 1994. Ein Einzelbaumwachstumssimulator für ungleichaltrige Fichten-Kiefern- und Buchen-Fichtenmischbestände. Forstl. Schriftenreihe, Univ. f. Bodenkultur, Wien. Österr. Ges. f. Waldökosystemforschung und experimentelle Baumforschung. 152 p. (in German).
42. He L., Chen J.M., Pan Y., et al. Relationships between net primary productivity and forest stand age in U.S. forests. Global Biogeochem. Cycles 2012, 26:1-19.
43. Hochbichler E. Vorläufige Ergebnisse von Biomasseninventuren in Buchen- und Mittelwaldbeständen. Forstliche Forschungsberichte 2002, vol. 186:37-46. LWF, München, Germany, (in German). H.P. Dietrich, S. Raspe, T. Preuhsler (Eds.).
44. Hochbichler E., Bellos P., Lick E. Biomass functions for estimating needle and branch biomass of spruce (Picea abies) and Scots pine (Pinus sylvestris) and branch biomass of beech (Fagus sylvatica) and oak (Quercus robur and petrea). Aust. J. Forest Sci. 2006, 123:35-46.
45. Hytönen J., Saarsalmi A., Rossi P. Biomass production and nutrient uptake of short-rotation plantations. Silva Fennica 1995, 29(2):117-139.
46. INRA, 2004. Rapport final du projet CARBOFOR, Sequestration de Carbone dans les grands ecosystemes forestiers en France. Quantification, spatialisation, vulnerabilite et impacts de differents scenarios climatiques et sylvicoles. Programme GICC 2001 "Gestion des impacts du changement climatique" Convention Gip ECOFOR n 3/2001, 138 p. (in French).
47. IPCC, 2006. CHAPTER 4 FOREST. In: Eggleston, H.S., Buendia, L., Miwa, K., Ngara, T., Tanabe, K. (Eds.), 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme. IGES, Japan, 83 p.
48. ISPRA Italian greenhouse gas inventory 1990-2011, National Inventory Report 2013 2013, 516. Italy, Rome.
49. Jalkanen A., Mäkipää R., Ståhl G., Lehtonen A., Petersson H. Estimation of the biomass stock of trees in Sweden: comparison of biomass equations and age-dependent biomass expansion factors. Ann. Forest Sci. 2005, 62:845-851.
50. Jenkins J.C., Chojnacky D.C., Heath L.S., Birdsey R.A. National-scale biomass estimators for United States tree species. Forest Sci. 2003, 49(1):12-35.
51. Johansson T. Biomass equations for determining fractions of pendula and pubescent birches growing on abandoned farmland and some practical implications. Biomass Bioenergy 1999, 16(3):223-238.
52. Ketterings Q.M., Coe R., Van Noordwijk V., Ambagau Y., Palm C.A. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. For. Ecol. Manage. 2001, 146:199-209.
53. Kittenberger, A., 2003. Generierung von Baumverteilungsmustern. diploma thesis. Universität für Bodenkultur, Wien, 79 p. (in German).
54. Klement, I., Réh, R., Detvaj, J., 2010. Základné charakteristiky lesných drevín - spracovanie drevnej suroviny v odvetví spracovania dreva. Národné lesnícke centrum, ISBN 978-80-8093-112-4 (in Czech).
55. Klopf M., Thurnher C., Hasenauer H. Benutzerhandbuch MosesFramework 2011, Universität für Bodenkultur, Wien, 124 p. (in German).
56. Kollmann F. Technologie des Holzes und der Holzwerkstoffe 1982, Springer-Verlag, Berlin, Heidelberg, New York, (in German).
57. Kublin, E., 2002. Verfahrens- und Programmbeschreibung zum erweiterten BWI-Unterprogramm BDAT 2.0. Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg, 30 p. (in German).
58. Lamlom S.H., Savidge R.A. A reassessment of carbon content in wood: variation within and between 41 North American species. Biomass Bioenergy 2003, 25:381-388.
59. Lamlom S.H., Savidge R.A. Carbon content variation in boles of mature sugar maple and giant sequoia. Tree Physiol. 2006, 26:459-468.
60. Lang M., Nilson T., Kuusk A., Kiviste A., Hordo M. The performance of foliage mass and crown radius models in forming the input of a forest reflectance model: a test on forest growth sample plots and Landsat 7 ETM+ images. Remote Sens. Environ. 2007, 110(4):445-457.
61. Lawrence D.M., Oleson K.W., Flanner M.G., et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model. J. Adv. Model Earth Syst. 2011, 3:M03001.
62. Le Goff N., Ottorini J.M. Root biomass and biomass increment in a beech (Fagus sylvatica L.) stand in North-East France. Ann. Forest Sci. 2001, 58:1-13.
63. Ledermann T., Neumann M. Biomass equations from data of old long-term experimental plots. Aust. J. Forest Sci. 2006, 123(1/2):47-64.
64. Lehtonen A., Mäkipää R., Heikkinen J., Sievänen R., Liski J. Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests. For. Ecol. Manage. 2004, 188:211-224.
65. Lexer M.J., Hoenninger K. A modified 3D-patch model for spatially explicit simulation of vegetation composition in heterogeneous landscapes. For. Ecol. Manage. 2001, 144:43-65.
66. Lorey T. Die mittlere Bestandeshöhe. Allgemeine Forst- und Jagdzeitung 1878, 54:149-155.
67. MacLean R.G., Ducey M.J., Hoover C.M. A comparison of carbon stock estimates and projections for the Northeastern United States. Forest Sci. 2014, 60(2):206-213.
68. MacPeak M.D., Burkart L.F., Weldon D. Comparison of grade, yield, and mechanical properties of lumber produced from young fast-grown and old slow- grown planted slash pine. Forest Products J. 1990, 40(1):11-14.
69. MAF-ISAFA, 1988. Inventario Forestale Nazionale. Sintesi metodologica e risultati. Ministero dell'Agricoltura e delle foreste. Istituto Sperimentale per l'assestamento forestale e per l'Alpicoltura, Trento (in Italian).
70. Marklund, L.G., 1988. Biomassafunktioner för tall, gran och björk i Sverige. Rapporter Skog; 45: 1-73. Sveriges Landbruksuniversitet (in Swedish).
71. Marschall J. Hilfstafeln für die Forsteinrichtung 1992, Österreichischer Agrarverlag, Wien, (in German). fifth ed.
72. Mátyás C., Ackzell L., Samuel C.J.A. EUFORGEN Technical Guidelines for genetic conservation and use for Scots pine (Pinus sylvestris) 2004, International Plant Genetic Resources Institute, Rome, Italy, 6 p.
73. Mäkipää, R., Cienciala, E., Green, C., Gracia, C., Lehtonen, A., Muukkonen, P., Sabate, S., Somogyi, Z., Weiss, P., 2005. Multi-source inventory methods for quantifying carbon stocks and stock changes in European forests. Action COST CarboInvent. Final report for Deliverable 2.2. Document No.: WP2-D2.2-Metla. Date: October 28.
74. McGroddy M., Daufresne T., Hedin L. Scaling of C:N:P stoichiometry in forests worldwide: implications of terrestrial Redfield-type ratios. Ecology 2004, 85(9):2390-2401.
75. McRoberts R.E., Tomppo E., Schadauer K., Vidal C., Chirici G., Lanz A., Cienciala E., Winter S., Smith W.B. Harmonizing national forest inventories. J. Forest. 2009, 179-187.
76. Miles, P.D., Smith, W.B., 2009. Specific Gravity and Other Properties of Wood and Bark for 156 Tree Species Found in North America. Research Note NRS-38.
77. Mitchell S.R., Harmon M.E., O'Connell K.E.B. Carbon debt and carbon sequestration parity in forest bioenergy production. GCB Bioenergy 2012, 4:818-827.
78. Mohren G.M.J., Hasenauer H., Köhl M., Nabuurs G.J. Forest inventories for carbon change assessments. Curr. Opinion Environ. Sustain. 2012, 4(6):686-695.
79. Montero, G., Ruiz-Peinado, R., Muñoz, M., 2005. Producción de biomasa y fijación de CO2 por los bosques españoles. Monografías INIA: Serie forestal 13. Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Ministerio de Investigación y Ciencia. Madrid. ISBN 84-7498-512-9 (in Spanish).
80. Muukkonen P. Generalized allometric volume and biomass equations for some tree species in Europe. Eur. J. Forest Res. 2007, 126(2):157-166.
81. Müller-Starck G., Baradat P., Bergmann F. Genetic variation within European tree species. New Forest. 1992, 6(1-4):23-47.
82. Nabuurs G., Schelhaas M., Pussinen A. Validation of the European Forest Information Scenario Model (EFISCEN) and a Projection of Finnish Forests. Silva Fennica 2000, 34(2):167-179.
83. Nagel, J., 1999. Konzeptuelle Überlegungen zum schrittweisen Aufbau eines waldwachstum-kundlichen Simulationssystems für Nordwestdeutschland (A concept for the development of a forest growth model for Northwest Germany). Schriften aus der Forstlichen Fakultät der Universität Göttingen und der Niedersächsischen Forstlichen Versuchsanstalt, J.D. Sauerländer's Verlag, Frankfurt am Main, 128 p.
84. Nabuurs G., van den Wyngaert I., Daamen W., Helmink A., de Groot W., Knol W., Kramer H., Kuikman P. National system of greenhouse gas reporting for forest and nature areas under UNFCCC in The Netherlands. Alterra-Report 2005, 1035(1). 57 p.
85. National Institute for Public Health and the Environment, 2013. Greenhouse gas emission in The Netherlands 1990-2011, National Inventory Report 2013, 258 p.
86. Offenthaler I., Hochbichler E. Estimation of root biomass of Austrian forest tree species. Aust. J. Forest Sci. 2006, 123(1/2):65-86.
87. Pan Y., Birdsey R., Fang J., Houghton R., Kauppi P., Kurz W., Hayes D. A large and persistent carbon sink in the World's forests. Science 2011, 333:988-992.
88. Petráš R., Košút M., Oszlányi J. Leaf biomass of trees in spruce, pine and beech. Lesnícky časopis 1985, 31(2):121-136. (in Slovak).
89. Petráš R., Pajtík J. Sústava česko-slovenských objemových tabuliek drevín. Lesnícky časopis 1991, 37(1):49-56. (in Slovak).
90. Petersson H., Ståhl G. Functions for below-ground biomass of Pinus sylvestris, Picea abies, Betula pendula and Betula pubescens in Sweden. Scand. J. For. Res. 2006, 21(S7):84-93.
91. Pietsch S.A., Hasenauer H. Using mechanistic modeling within forest ecosystem restoration. For. Ecol. Manage. 2002, 159:111-131.
92. Pietsch S.A., Hasenauer H., Thornton P.E. BGC-model parameters for tree species growing in central European forests. For. Ecol. Manage. 2005, 211(3):264-295.
93. Pollanschütz J. Formzahlfunktionen der Hauptbaumarten Österreichs. Informationsdienst Forstliche Bundesversuchsanstalt Wien 1974, 153:341-343. (in German).
94. Požgaj, A., Chovanec, D., Kurjatko, S., Babiak, M., 1993. Štruktúra a vlastnosti dreva. Príroda, Bratislava, 486 p. ISBN 80-07-00600-1 (in Slovak).
95. Pretzsch H., Biber P., Dursky J. The single tree-based stand simulator SILVA: construction, application and evaluation. For. Ecol. Manage. 2002, 162:3-21.
96. Repola J. Models for vertical wood density of scots Pine, Norway spruce and birch stems, and their application to determine average wood density. Silva Fennica 2006, 40(4):673-685.
97. Repola J. Biomass equations for birch in Finland. Silva Fennica 2008, 42(4):605-624.
98. Repola J. Biomass equations for Scots Pine and Norway Spruce in Finland. Silva Fennica 2009, 43(4):625-647.
99. Ruiz-Peinado R., Del Rio M., Montero G. New models for estimating the carbon sink capacity of Spanish softwood species. Forest Syst. 2011, 20(1):176-188.
100. Ruiz-Peinado R., Montero G., Del Rio M. Biomass models to estimate carbon stocks for hardwood tree species. Forest Syst. 2012, 21(1):42-52.
101. Running S., Nemani R., Heinsch F., Zhao M., Reeves M., Hashimoto H. A continuous satellite-derived measure of global terrestrial primary production. Bioscience 2004, 54:547-560.
102. Schelhaas M.J., Varis S., Schuck A., Nabuurs G.J. EFISCEN's European Forest Resource Database 1999, European Forest Institute, Joensuu, Finland.
103. Schieler, K., 1988. Methodische Fragen in Zusammenhang mit der österreichischen Forstinventur. Diploma Thesis, Universität für Bodenkultur, Vienna, Austria. 99 p. (in German).
104. Schmidt-Vogt, H., 1977. Die Fichte. Band 1. Paul Parey, Hamburg (in German).
105. Schwarzmeier, M., 2000. Erhebung der oberirdischen Biomassevorräte von Fichtenbestanden (Picea abies (L.) Karst.) im Bereich der Waldklimastationen Ebersberg und Flossenbürg. Diploma Thesis, Fachhochschule Weihenstephan, Fachbereich Forstwirtschaft, Germany, 155 p. (in German).
106. Seidl R., Lexer M.J., Jäger D., Hönninger K. Evaluating the accuracy and generality of a hybrid patch model. Tree Physiol. 2005, 25(7):939-951.
107. Shinozaki K., Yoda K., Hozumi K., Tira T. A quantitative analysis of plant form- the pipe model theory I. Basic analysis. Japanese J. Ecol. 1964, 14:97-105.
108. Shinozaki K., Yoda K., Hozumi K., Tira T. A quantitative analysis of plant form- the pipe model theory II. Further evidence of the theory and its application in forest ecology. Japanese J. Ecol. 1964, 14:133-139.
109. Skrøppa T. EUFORGEN Technical Guidelines for genetic conservation and use for Norway pruce (Picea abies) 2003, International Plant Genetic Resources Institute, Rome, Italy, 6 p.
110. Ståhl G., Cienciala E., Chirici G., Lanz A., Vidal C., Winter S., McRoberts R.E., Rondeux J., Schadauer K., Tomppo E. Bridging national and reference definitions for harmonizing forest statistics. Forest Sci. 2012, 58(3):214-223.
111. Statistics Finland, 2013. Greenhouse Gas emissions in Finland 1990-2011, National Inventory Report under the UNFCCC and the Kyoto Protocol.
112. Sterba, H., 1976. Ertragstafeln der ÖBF, Inst. f. forstl. Ertragslehre, Univ. f. Bodenkultur, Wien (in German).
113. Sterba H., Monserud R.A. Applicability of the forest stand growth simulator PROGNAUS for the Austrian part of the Bohemian Massif. Ecol. Model. 1997, 98:23-34.
114. Tabacchi, G., Di Cosmo, L., Gasparini, P., Morelli, S., 2011. Stima del volume e della fitomassa delle principali specie forestali italiene, Equazioni di previsione, tavole del volume e tavole della fitomassa arborea epigea, 415 p. Trento: Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unita di Ricerca per il Monitoraggio e la Pianificazione Forestale (in Italian).
115. Thomas S.C., Martin A.R. Carbon content of tree tissues: a synthesis. Forests 2012, 3:332-352.
116. Thornton P.E. Description of a Numerical Simulation Model for Predicting the Dynamics of Energy, Water, Carbon and Nitrogen in a Terrestrial Ecosystem 1998, University of Montana, Missoula.
117. Thornton P.E., Law B.E., Gholz H.L., Clark K.L., Falge E., Ellsworth D.S., et al. Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agric. For. Meteorol. 2002, 113(1-4):185-222.
118. Thurnher C., Gerritzen T., Maroschek M., Lexer M.J., Hasenauer H. Analysing different carbon estimation methods for Austrian forests. Aust. J. Forest Sci. 2013, 130(3):141-166.
119. Tomppo E., Gschwantner T., Lawrence M., McRoberts R.E. National Forest Inventories: Pathways for common reporting 2010, Springer, Berlin, 610 p.
120. Umweltbundesamt Austria's National Inventory Report 2013, Submission under the United Nations Framework on Climate Change and the Kyoto Protocol 2013, Umweltbundesamt GmbH (Federal Environment Agency Ltd) Vienna, Austria, Vienna.
121. Uri V., Aosaar J., Varik M., Kund M. The growth and production of some fast growing deciduous tree species stands on abandoned agricultural land. Forest. Stud. 2010, 52:18-29.
122. Vallet P., Dhôte J.-F., Moguédec G.Le, Ravart M., Pignard G. Development of total aboveground volume equations for seven important forest tree species in France. For. Ecol. Manage. 2006, 229:98-110. 10.1016/j.foreco.2006.03.013.
123. Vande Walle I., Van Camp N., Perrin D., Lemeur R., Verheyen K., van Wesemael B., Laitat E. Growing stock-based assessment of the carbon stock in the Belgian forest biomass. Ann. For. Sci. 2005, 62:853-864. 10.1051/forest:2005076.
124. VEMAP Members Vegetation/Ecosystem Modeling and Analysis Project (VEMAP): comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate change and CO2 doubling. Global Biogeochem. Cycles 1995, 9(4):407-437.
125. Veroustraete F., Sabbe H., Eerens H. Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data. Remote Sens. Environ. 2002, 83:376-399.
126. Vilén, T., Meyer, J., Thürig, E., Lindner, M., Green, T., 2005. Multi-source inventory methods for quantifying carbon stocks and stock changes in European forests - CarboInvent. EFI, 31.
127. Wagenführ R., Scheiber C. Holzatlas 1985, VEB Fachbuchverlag, Leibzig, (in German). second ed.
128. Waring R., Schroeder P., Oren R. Application of the pipe model theory to predict canopy leaf area. Can. J. For. Res. 1982, 12:556-560.
129. Westfall J.A. A comparison of above-ground dry-biomass estimators for trees in the Northeastern United States. Northern J. Appl. Forest. 2012, 29(1):26-34.
130. Wirth C., Schumacher J., Schulze E.D. Generic biomass functions for Norway spruce in Central Europe-a meta-analysis approach toward prediction and uncertainty estimation. Tree Physiol. 2004, 24(2):121-139.
131. Wutzler T., Wirth C., Schumacher J. Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty. Can. J. For. Res. 2008, 38(6):1661-1675.
132. Xiao C.W., Curiel Yuste J., Janssens I.A., Roskams P., Nachtergale L., Carrara A., Sanchez B.Y., Ceulemans R. Above- and belowground biomass and net primary production in a 73-year-old Scots pine forest. Tree Physiol. 2003, 23(8):505-516.
133. Zanne A.E., Lopez-Gonzalez G., Coomes D.A., Ilic J., Jansen S., Lewis S.L., Chave J., et al. Data from: Towards a worldwide wood economics spectrum. Dryad Digital Repository 2009.
134. Zasada M., Bronisz K., Bijak S., Wojtan R., Tomusiak R., Dudek A., Michalak K. Empirical formulae for determination of the dry biomass of aboveground parts of the tree. Sylwan 2008, 3:27-39. (in Polish).
135. Zhao M., Running S.W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 2010, 329:940-943.
136. Zianis, D., Muukkonen, P., Mäkipää, R., Mencuccini, M., 2005. Biomass and stem volume equations for tree species in Europe. Silva Fennica, Monographs, 63 p.