Ecologically based height growth model and derived raster maps of Norway spruce site index in the Western Carpathians

European Journal of Forest Research

Volumn 132, Issue 5-6, 2013, Pages 691-705

  Bošeľa, Michal ^a,b   Máliš, František ^a,c,d   Kulla, Ladislav ^a   Šebeň, Vladimír ^a   Deckmyn, Gaby ^e  

^a FOREST RESEARCH INSTITUTE   (Slovakia)

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

^c TECHNICAL UNIVERSITY IN ZVOLEN   (Slovakia)

^d INSTITUTE OF BOTANY   (Czech Republic)

^e UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

Ecological modeling; Environmental changes; Norway spruce; Site index; Western Carpathians

Indexed keywords

CLIMATE CHANGE; ECOLOGICAL MODELING; ENVIRONMENTAL CHANGE; EVERGREEN TREE; GROWTH MODELING; HEIGHT DETERMINATION; MAP; RASTER; SITE INDEX;

CARPATHIANS; WESTERN CARPATHIANS;

PICEA; PICEA ABIES;

EID: 84887626732     PISSN: 16124669     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10342-013-0708-z     Document Type: Article

References (86)

1. Agbu PA, Olsen KR (1990) Spatial variability of soil properties in selected Illinois Mollisols. Soil Sci 150: 777-785.
2. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6): 716-723.
3. Barnes VB, Zak RD, Denton RS, Spurr HS (1998) Forest ecology, 4th edn. Wiley, USA 774 pp.
4. Bergès L, Gégout J-C, Franc A (2006) Can understory vegetation accurately predict site index? A comparative study using floristic and abiotic indices in sessile oak (Quercus petraea Liebl.) stands in northern France. Ann Forest Sci 63: 31-42.
5. Bošeľa M (2011) Veľkoplošná variabilita a vzájomné vzťahy stanovištných charakteristík lesov Slovenska. (Dissertation thesis). National Forest Centre, Zvolen, 100 p.
6. Bruchwald A, Dudek A, Michalak K, Rymer-Dudzinska T, Wroblewski L, Zasada M (1999) A growth model for Norway spruce stands. Sylwan 1: 19-31 (in Polish).
7. Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field-scale variability of soil properties in Central Iowa soils. Soil Sci Soc Am J 58: 1501-1511.
8. Corona P, Scotti R, Tarchiani N (1998) Relationship between environmental factors and site index in Douglas-Fir plantations in central Italy. Forest Ecol Manag 110: 195-207.
9. Curt Th, Bouchaud M, Agrech G (2001) Predicting site index of Douglas-Fir plantations from ecological variables in the Massif Central area of France. Forest Ecol Manag 149: 61-74.
10. Davis LS, Johnson KN (1987) Forest management, 3rd edn. McGraw-Hill, New York.
11. Draper NR, Smith H (1981) Applied regression analysis, 2nd edn. John Wiley & Sons Inc, New York.
12. Efron B (1982) The jackknife, the bootstrap and other resampling methods. Society for Industrial and Applied Mathematics, CBMS-NSF Monograph 38, Philadelphia.
13. Elfving B, Kiviste A (1997) Construction of site index equations for Pinus sylvestris L. using permanent plot data in Sweden. Forest Ecol Manag 98: 125-134.
14. English M, Karrer G, Mutsch F (1991) Österreichische Waldbodenzustandsinventur. Teil I. Methodische Grundlagen. FBVA-Bericht 168/I, pp 5-22.
15. Ercanli I, Gunlu A, Altun L, Baskent EZ (2008) Relationship between site index of oriental spruce [Picea orientalis (L.) Link] and ecological variables in Maçka Turkey. Scand J Forest Res 23: 319-329.
16. Evert F (1964) Components of stand volume and its increment. J Forest 62: 810-813.
17. Fabrika M (2004). Ekologická bonitácia v modeli rastu lesa Sibyla na podklade klimatických a pôdnych charakteristík. In: Climate change - weather extremes organisms and ecosystems: international bioclimatological workshop 2004. - Bratislava: Slovak bioclimatological society SAS.
18. Fischer R, Beck W, Calatayud V, Cools N, De Vos B, Dobbertin M, Fleck S, Giordani P, Granke O, Kindermann G, Lorenz M, Meesenburg H, Meining S, Nagel H-D, Neumann M, Scheuschner T, Stofer S (2011) The condition of forests in Europe, 2011 executive report. ICP Forests and European Commission, Hamburg and Brussels 21.
19. Fontes L, Tomé M, Thompson F, Yeomans A, Luis JS, Savill P (2003) Modelling the Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) site index from site factors in Portugal. Forestry 76(5): 491-505.
20. th century. Climate Res 19: 193-212.
21. Fürst A (2008) 10th needle/leaf interlaboratory comparison test 2007/2008. Forest foliar coordinating centre/BFW, Vienna 110.
22. Gömöry D, Longauer R, Hlásny T, Pacalaj M, Strmeň S, Krajmerová D (2011) Adaptation to common optimum in different populations of Norway spruce (Picea abies Karst.). Eur J Forest Res 131 (2): 401-411.
23. Gömöryová E, Gömöry D (1995) Relationships between environmental factors and height growth and yield of Norway spruce stands: a factor-analytic approach. Forestry 68(2): 145-152.
24. Hägglund B, Lundmark JE (1977) Site index estimation by means of site properties Scots pine and Norway spruce in Sweden. Studia Forestalia Suecica 138: 5-38.
25. Hairston AB, Grigal DF (1991) Topographic influences on soil and trees within single mapping units on a sandy outwash landscape. Forest Ecol Manag 43: 35-45.
26. Halaj J (1978) Výškový rast a štruktúra porastov. Bratislava, Veda.
27. Halaj J, Petráš R (1998) Rastové tabuľky hlavných drevín. Slovak Academic Press, Bratislava.
28. Halaj J, Grék J, Pánek F, Petráš R, Řehák J (1987) Rastové tabuľky hlavných drevín ČSSR. Bratislava, Príroda.
29. Hiley WE (1959) Two-storied high forest. Forestry 32(2): 113-116.
30. Hlásny T (2007) Modelling selected climate parameters in the ISATIS environment. In: Ostrava GIS (ed) 2007 [CD]. TU-VŠB, Ostrava.
31. Hlásny T, Barcza Z, Fabrika M, Balázs B et al (2011) Climate change impacts on growth and carbon balance of forests in Central Europe. Clim Res 47: 219-236.
32. Hók J, Kahan Š, Aubrecht R (2001) Geológia Slovenska. Univerzita Komenského, Bratislava.
33. Hunter IR, Gibson AR (1984) Predicting Pinus radiate site index from environmental variables. NZ J Forest Sci 14: 53-64.
34. Kabzens RD, Klinka K (1987) Initial quantitative characterization of soil nutrient regimes. II. Relationships among soil, vegetation, and site index. Can J Forest Res 17: 1565-1571.
35. Kadane JB, Lazar NA (2004) Methods and criteria for model selection. J Amer Statist Assoc 99(465): 279-290.
36. Kayahara GJ, Klinka K (1997) The relationship of site index to synoptic estimates of soil moisture and nutrients for western redcedar (Thuja plicata) in southern coastal British Columbia. Northwest Science 71(3): 167-173.
37. Klinka K, Chen HYH (2003) Potential productivity of three interior subalpine forest tree species in British Columbia. Forest Ecol Manag 175: 521-530.
38. Koerner W (1999) Impacts des anciennes utilization agricoles sur la fertilité du milieu forestier actuel. Université Paris 7, Institut National de la Recherche Agronomique, Nancy.
39. Korf V (1939) The contribution to the mathematical formulation of volume ingrowth of forest stands. Lesnická Práce 18: 339-379 (in Czech with English abstract).
40. Kozak A, Kozak R (2003) Does cross validation provide additional information in the evaluation of regression models? Can J For Res 33: 976-987.
41. Lanner RM (1985) On the insensitivity of height growth to spacing. Forest Ecol Manag 13(3-4): 143-148.
42. Lexer MJ, Hönninger K, Vacik H (2000) Modelling the effect of forest site conditions on the ecophysiological suitability of tree species: an approach based on fuzzy set theory. Computers and Electronics in Agriculture 27: 393-399.
43. Lindgren D, Ying CC, Elfving B, Lindgren K (1994) Site index variation with latitude and altitude in IUFRO Pinus-Contorta provenance experiments in western Canada and northern Sweden. Scand J Forest Res 9: 270-274.
44. Loetsch F, Zohrer F, Haller KE (1973) Forest inventory, vol II. BLV Verlagsgesellschaft, Munchen.
45. Londo AJ (2002) Soil pH and tree species suitability in Mississippi. Mississippi: Mississippi State University, http://msucares. com/pubs/publications/p2311. pdf. Accessed 25 May 2008.
46. Lukac M, Calfapietra C, Godbold DL (2003) Production, turnover and mycorrhizal colonization of root systems of three Populus species grown under elevated CO2 (POPFACE). Glob Change Biol 9: 838-848.
47. Mckenney DW, Pedlar JH (2003) Spatial models of site index based on climate and soil properties for two boreal tree species in Ontario, Canada. Forest Ecol Manag 175: 497-507.
48. Merganič J, Vorčák J, Merganičová K, Ďurský J, Miková A, Škvarenina J, Tuček J, Minďáš J (2003) Monitoring diversity horských lesov severnej Oravy. EFRA, Tvrdošín.
49. Michajlov J (1949) Matematičko formuliranje zakonot za rastenjstvo na šumskite drva i nasady-Godiš. Zborník na zemjodelsko-šumarskog fak, Skopje.
50. Michajlov J (1952) Matematische Formulierung des Gesetzes für Wachstum und Zuwachs der Waldbäume und Bestände. Schweiz Z Forstw 103(9/10): 368-380.
51. Monserud RA, Moody U, Breuer DW (1990) A soil-site study for inland Douglas-fir. Can J Forest Res 20: 686-695.
52. Monserud RA, Huang Sh, Yang Y (2006) Predicting lodgepole pine site index from climatic parameters in Alberta. Forest Chron 82(4): 562-571.
53. Motulsky HJ, Christopoluos A (2003) Fitting models to biological data using linear and nonlinear regression. A practical guide to curve fitting. GraphPad Software Inc., San Diego CA.
54. Naesset E, Tveite B (1999) Stand volume functions for Picea abies in eastern, central, and northern Norway. Scand J Forest Res 14: 164-174.
55. Nigh G (1998) Prediction intervals for estimates of site index based on ecosystem type. Environ Manage 22(2): 197-202.
56. O'Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41: 673-690.
57. Pande GC, Chaturvedi AN (1972) Stand volume, weight tables, and other crop studies in Mysore Gum (Eucalyptus hybrid). Indian Forester 98: 286-297.
58. Parkin TB (1993) Spatial variability of microbial process in soil-a review. J Environ Qual 22: 409-417.
59. Pretzsch H (1992) Konzeption und Konstruktion vonWuchsmodellen für Rein-und Mischbestände. Forstl Forschungsberichte München Bd., 115.
60. Pretzsch H (2001) Modellierung desWaldwachstums. Parey, Berlin.
61. Pretzsch H (2009) Forest dynamics, growth and yield: from measurement to model. Springer, 664 pp.
62. Pretzsch H, Biber P, Dursky J (2002) The single-tree based stand simulator SILVA: construction, application and evaluation. Forest Ecol Manag 162: 3-21.
63. Quinn G, Keough M (2002) Experimental design and data analysis for biologists. Cambridge University Press, New York.
64. Richards FJ (1959) A flexible growth function for empirical use. J Exp Bot 10: 290-300.
65. Robertson C (1991) Computationally intensive statistics. In: Lovie P, Lovie AD (eds) New developments in statistics for psychology and the social sciences. BPS and Routledge, London, pp 49-80.
66. Robeson SM (2002) Increasing growing-season length in Illinois during the 20th century. Climatic Change 52: 219-238.
67. Robinson C, Schumacker RE (2009) Interaction effects: centering, variance inflation factor, and interpretation issues. Multiple Linear Regres Viewp 35(1): 6-11.
68. Šály R (1978) Pôda-základ lesnej produkcie. Príroda, Bratislava.
69. Seynave I, Gégout J-C, Hervé J-Ch, Dhôte J-F, Drapier J, Bruno E, Dumé G (2005) Picea abies site index prediction by environmental factors and understorey vegetation: a two-scale approach based on survey databases. Can J Forest Res 35: 1669-1678.
70. Sharma M, Amateis RL, Burkhart HE (2002) Top height definition and its effect on site index determination in thinned and unthinned loblolly pine plantations. Forest Ecol Manag 168: 163-175.
71. Skovsgaard JP, Vanclay JK (2007) Forest site productivity: a review of the evolution of dendrometric concepts for even-aged stands. Forestry 81(1): 13-31.
72. Šmelko Š, Merganič J, Šebeň V, Raši R, Jankovič J (2006) Národná inventarizácia a monitoring lesov Slovenskej republiky. Metodika terénneho zberu údajov (3. doplnená verzia), NLC Zvolen.
73. Šmelko Š, Šebeň V, Bošeľa M, Merganič J, Jankovič J (2008) National forest inventory and monitoring of the Slovak Republic 2005-2006. Basic concept and selected summary informations. National Forest Centre - Forest Research Institute, Department of forest inventory and management, Zvolen.
74. Smith DM (1962) The practice of silviculture, 7th edn. Wiley, New York.
75. Socha J (2008) Effect of topography and geology on the site index of Picea abies in the West Carpathian, Poland. Scand J Forest Res 23: 203-213.
76. Spiecker H, Mielikainen K, Kohl M, Skovsgaard JP (1996) Growth trends in European Forests. Springer, Berlin 372 p.
77. Spurr SH, Barnes BV (1980) Forest ecology, 3rd edn. Wiley, New York.
78. Swenson JJ, Waring RH, Fan W, Coops N (2005) Predicting site index with a physiologically based growth model across Oregon, USA. Can J Forest Res 35: 1697-1707.
79. R Development Core Team (2011) R: A language and environment for statistical computing, reference index version 2. 10. 0. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, dostupné na internete: http://www. R-project. org.
80. Ung C-H, Bernier PY, Raulier F, Fournier RA, Lambert MC, Régnière J (2001) Biophysical site indices for shade tolerant and intolerant boreal species. Forest Sci 47: 83-95.
81. van Der Maarel E (2005) Vegetation ecology. Blackwell Publishing, Oxford.
82. Vladár J (1982) Encyklopédia Slovenska. VI. zväzok T-Ž, Veda.
83. Vladovič J, Burgan K, Dubeň Z, Dupkala J, Flachbart V, Greč V, Hatala N, Hudecová D, Kučera J, Lupták I et al (1994) Lesné oblasti Slovenska. Lesoprojekt, Zvolen, p 500.
84. Wang Y, Klinka K (1996) Use of synoptic variables in predicting white spruce site index. Forest Ecol Manag 80: 95-105.
85. Wang Y, Raulier F, Ung C-H (2005) Evaluation of spatial predictions of site index obtained by parametric and nonparametric methods-A case study of lodgepole pine productivity. Forest Ecol Manag 214: 201-211.
86. West PW (2004) Tree and forest measurement. Springer, Berlin.