Regional changes of Pinus pinaster site index in Spain using a climate-based dominant height model

Canadian Journal of Forest Research

Volumn 40, Issue 10, 2010, Pages 2036-2048

  Bravo Oviedo, Andrés ^a   Gallardo Andrés, Clemente ^b   del Río, Miren ^a   Montero, Gregorio ^a  

^a Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria   (Spain)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CONDITION; DOMINANT HEIGHT; EMISSION SCENARIO; FOREST PRODUCTIVITY; FOREST STAND; GLOBAL CIRCULATION MODEL; IBERIAN PENINSULA; MARITIME PINES; MEDITERRANEAN REGION; PINUS PINASTER; POPULATION GROWTH; REGIONAL CLIMATE CHANGES; REGIONAL CLIMATE MODELS; REGIONAL DIFFERENCES; SEASONAL PRECIPITATIONS; SITE INDEX; SITE-INDEX ESTIMATIONS;

CLIMATE MODELS; PRODUCTIVITY;

CLIMATE CHANGE;

ATMOSPHERE-OCEAN COUPLING; CLIMATE CHANGE; CONIFEROUS FOREST; ENERGY USE; FOREST PRODUCT; FORESTRY MODELING; FORESTRY PRODUCTION; POPULATION GROWTH; VULNERABILITY;

IBERIAN PENINSULA; MEDITERRANEAN REGION; SPAIN;

PINUS PINASTER;

EID: 77958600132     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/X10-143     Document Type: Article

References (59)

1. Alcamo, J., Moreno, J.M., Nováky, B., Bindi, M., Corobov, R., De-voy, R.J.N., Giannakopoulos, C, Martin, E., Olesen, J.E., and Shvidenko, A. 2007. Europe. In Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the 4th Assessment Report of the Intergovernmental Panel on Climate Change. Edited by M.L. Parry, OE. Canziani, J.P. Palu-tikof, PJ. van der Linden, and CE. Handon. Cambridge University Press, Cambridge, U.K. pp. 541-580.
2. Assmann, E. 1971. The principles of forest yield study. Pergamon Press, Oxford, U.K.
3. Battaglia, M., Sands, P.J., and Candy, S.G. 1999. Hybrid growth model to predict height and volume growth in young Eucalyptus globulus plantations. For. Ecol. Manag. 120(1-3): 193-201. doi:10.1016/S0378-1127(98)00548-9.
4. Benito Garzón, M., Sánchez de Dios, R., and Sainz Ollero, H. 2008. Effects of climate change on the distribution of Iberian tree species. Appl. Veg. Sci. 11(2): 169-178. doi: 10.3170/2008-7-18348.
5. Bravo, F., Ordóñez, C, Lizarralde, I., Bravo-Oviedo, A., Guerra, B., Peso, C., Domínguez, M., and Osorio, LF. 2004. Red de parcelas y experimentos del grupo de investigation sobre gestion forestal sostenible de la ETS de Ingenierias Agrarias de Pa-lencia (Universidad de Valladolid). In I Reunion de Moderation Forestal. Edited by F. Bravo, J.G. Alvarez-Gonzalez, M. Rio, L. Diaz, S.C. Gonzalez-Martinez, V. Castillo, N. Nanos, and J. Retana. S.E.C.F., Palencia. pp. 237-242.
6. Bravo, F., del Río, M., Bravo-Oviedo, A., Peso, C, and Montero, G. 2008. Forest management strategies and carbon sequestration. In Managing forest ecosystems: the challenge of climate change. Edited by F. Bravo, V. LeMay, R. Jandl, and K. von Gadow. Springer, New York. pp. 179-194.
7. Bravo-Oviedo, A., Tome, M., Bravo, F., Montero, G., and del Rio, M. 2008. Dominant height growth equations including site attributes in the generalized algebraic difference approach. Can. J. For. Res. 38(9): 2348-2358. doi:10.1139/X08-077.
8. Canham, CD., Cole, J.J., and Laurenroth, W.K. 2003. The role of modeling in ecosystem science. In Models in ecosystem science. Edited by Charles D. Canham, Johnathan J. Cole, and William K. Laurenroth. Princeton University Press, Princeton, NJ. pp. 1-10.
9. Castro, M., Martín-Vide, J., and Alonso, S. 2005. El clima de Espafia: pasado, presente y escenarios de clima para el siglo XXI. In Evaluatión preliminar de los impactos en España porefecto del cambio climático. Edited by Secretaria General Tec-nica. Ministerio de Medio Ambiente. Ministerio de Medio Am-biente, Universidad de Castilla La Mancha, Madrid, pp. 1-64.
10. Cieszewski, CJ. 2001. Three methods of deriving advanced dynamic site equations demostrated on inland Douglas-fir site curves. Can. J. For. Res. 31(1): 165-173. doi:10.1139/cjfr-31-l-165.
11. Cieszewski, C.J., and Bella, I.E. 1993. Modeling density-related lodgepole pine height growth, using Czarnowski's stand dynamics theory. Can. J. For. Res. 23(12): 2499-2506. doi: 10. 1139/x93-311.
12. del Barrio, G., Harrison, PA., Berry, P.M., Butt, N., Sanjuan, M.E., Pearson, R.G., and Dawson, T. 2006. Integrating multiple modelling approaches to predict the potential impacts of climate change on species' distributions in contrasting regions: comparison and implications for policy. Environ. Sci. Policy, 9(2): 129-147. doi:10.1016/j.envsci.2005.11.005.
13. Déqué, M., Rowell, D.P., Lüthi, D., Giorgi, F., Christensen, J.H., Rockel, B., Jacob, D., Kjellström, E., de Castro, M., and van den Hurk, B. 2007. An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Clim. Change, 81(S1): 53-70. doi: 10.1007/s 10584-006-9228-x.
14. DGCN. 1998. El Segundo Invenatrio Forestal Nacional. MMA-DGCN, Madrid, España.
15. Dickinson, RE., Errico, R.M., Giorgi, F., and Bates, G.T. 1989. A regional climate model for the western United States. Clim. Change, 15(3): 383-422. doi:10.1007/BF00240465.
16. Fernández-Cancio, A., and Manrique, E. 2001. Programas GEN-PET para la reconstrucción de una estación meteorológica con resolución mensual en cualquier punto del territorio español, conocidas sus coordenadas y altitud. Software Registration 106,649.
17. Giorgi, F. 1990. Simulation of regional climate using a limited area model nested in a general circulation model. J. Clim. 3(9): 941-963. doi:10.1175/1520-0442(1990)003<0941:SORCUA>2.0. CO;2.
18. Giorgi, F., and Mearns, L.O. 2002. Calculation of average, uncertainty range, reliability of regional climate changes from AOGCM simulations via the reliability ensemble averaging (REA) method. J. Clim. 15(10): 1141-1158. doi:10.1175/1520-0442(2002)015<1141:COAURA>2.0.CO;2.
19. Harrison, PA., Berry, P.M., Butt, N., and New, M. 2006. Modelling climate change impacts on species' distributions at the European scale: implications for conservation policy. Environ. Sci. Policy, 9(2): 116-128. doi:10.1016/j.envsci.2005.11.003.
20. Hudson, D.A., and Jones, R.G. 2002. Simulations of present-day and future climate over southern Africa using HadAM3H. Had-ley Centre Tech. Note 38. Available from www.metoffice.gov. uk/publications/HCTN/HCTN_3 8.pdf
21. IPCC. 1994. IPCC technical guidelines for assessing climate change impacts and adaptations. Center for Global Enviromental Research, National Insitute for Enviromental Studies. University College, London, U.K.
22. IPCC. 2000. Special report on emissions scenarios. A special report of IPCC Working Group III. Intergovernmental Panel on Climate Change, Geneva, Switzerland.
23. Kellomäki, S., Karjalainen, T., and Väisänen, H. 1997. More timber from boreal forests under changing climate? For. Ecol. Manag. 94(1-3): 195-208. doi:10.1016/S0378-1127(96)03975-8.
24. Kidson, J.W., and Thompson, C.S. 1998. A comparison of statitical and model-based downscaling techniques for estimating local climate variations. J. Clim. 11(4): 735-753. doi:10.1175/1520-0442(1998)011<0735:ACOSAM>2.0.CO;2.
25. Kimmins, J.P. 2004. Forest ecology. A foundation for sustainable forest management and environmetal ethics in forestry. 3rd ed. Prentice Hall, Engelwood Cliffs, NJ.
26. Klein Tank, A.M.G., and Konnen, G.P. 2003. Trends in indices of daily temperature and precipitation extremes in Europe. J. Clim. 16(22): 3665-3680. doi:10.1175/1520-0442(2003) 016<3665:TIIODT>2.0.CO;2.
27. Linder, M. 2000. Developing adaptive forest management strategies to cope with climate change. Tree Physiol. 20(5-6): 299-307. PMID: 12651446.
28. Lindner, M. 1999. Waldbaustrategien im Kontext möglicher Kli-maánderungen. Forstwiss. Centralbl. (Hamb.), 118(1-6): 1-13. doi:10.1007/BF02768969.
29. Manrique, E., and Fernández-Cancio, A. 2005. Sistema informático para la generación de datos climáticos y fitoclimáticos. In IV Congreso Forestal Español. Edited by Soc. Esp. Cien. For., Zar-agoza, Spain, p. 7.
30. Martín-Benito, D., Río, M., and Cañellas, I. 2010. Black pine (Pinus nigra Arn.) growth divergence along a latitudinal gradient in western mediterranean mountains. Ann. For. Sci. 67 (Article 401).
31. Matala, J., Ojansuu, R., Peltola, H., Sievänen, R., and Kellomäki, S. 2005. Introducing effects of temperature and C02 elevation on tree growth into a statistical growth and yield model. Ecol. Model. 181(2-3): 173-190. doi:10.1016/j.ecolmodel.2004.06. 030.
32. Mearns, L.O., Easterling, W., and Hays, C. 1998. The effect of spatial scale of climate change scenarios on the determination of impact: an example of agricultural impacts on the great plains. In Proceedings of the International Workshop on Regional Modelling of the General Monsoon System in Asia. TEACOM Report No. 4. START Regional Center for Temperate East Asia, Beijing, pp. 70-73.
33. Mearns, L.O., Bogardi, I., Giorgi, F., Matyasovszky, I., and Palecki, M. 1999. Comparison of climate change scenarios generated from regional climate model experiments and statistical downscaling. J. Geophys. Res. 104(D6): 6603-6621. doi:10. 1029/1998JD200042.
34. Mearns, L.O., Giorgi, F., Whetton, P., Pabon, D., Hulme, M., and Lai, M. 2003. Guidelines for use of climate scenarios developed from regional climate model experiments. Available from www. ipcc-data.org/guidelines/dgm_nol_vl_10-2003.pdf
35. Mínguez, M.I., Ruiz-Ramos, M., Díaz-Ambrona, C.H., Quemada, M., and Sau, F. 2007. First-order impacts on winter and summer crops assessed with various high-resolution climate models in the Iberian Peninsula. Clim. Change, 81(S1): 343-355.doi:10. 1007/sl0584-006-9223-2.
36. Mohren, G.M.J., and Burkhart, H.E. 1994. Contrasts between biologically-based process models and management-oriented growth and yield models. For. Ecol. Manag. 69: 1-5. doi:10.1016/0378-1127(94)90215-1.
37. Monserud, R.A., Yang, Y., Huang, S., and Tchebakova, N. 2008. Potential change in lodgepole pine site index and distribution under climatic change in Alberta. Can. J. For. Res. 38(2): 343-352. doi:10.1139/X07-166.
38. Montero, G., Madrigal, G., Ruiz-Peinado, R., and Bachiller, A. 2004. Red de parcelas experimentales permanentes del CIFOR-INIA. Cuad. Soc. Esp. Cie. For. 18: 229-236.
39. Murphy, J. 1999. An evaluation of statistical and dynamical techniques for downscaling local climate. J. Clim. 12(8): 2256-2284. doi:10.1175/1520-0442(1999)012<2256:AEOSAD>2.0.CO;2.
40. Nicolas, A., and Gandullo, J.M. 1966. Los estudios ecologico-selvi-colas y los trabajos de repoblacidn forestal: problemas y dificul-tades surgidas en la region de los paramos leoneses y palentinos. Ministerio de Agricultura, Direccio'n General de Montes, Caza y Pesca Fluvial, IFIE, Madrid;
41. Nigh, G. 2006. Impact of climate, moisture regime, and nutrient regime on the productivity of douglas-fir in coastal British Columbia, Canada. Clim. Change, 76(3-4): 321-337.doi:10.1007/ sl0584-005-9041-y.
42. Oliver, CD., and Larson, B.C. 1996. Forest stand dynamics. John Wiley & Sons, Inc., New York.
43. Peng, C, Liu, J., Dang, Q., Apps, M.J., and Jiang, H. 2002. TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitogren dynamics. Ecol. Model. 153(1-2): 109-130.doi:10.1016/S0304-3800(01)00505-l.
44. Raper, S.C.B., Gregory, J.M., and Stouffer, R.J. 2002. The role of climate sensitivity and ocean heat uptake on AOGCM transient temperature response. J. Clim. 15(1): 124-130. doi:10.1175/ 1520-0442(2002)015<0124:TROCSA>2.0.CO;2.
45. Sabaté, S., Gracia, C.A., and Sánchez, A. 2002. Likely effects of climate change on growth of Quercus ilex, Pinus halepensis, Pinus pinaster, Pinus sylvestris and Fagus sylvatica forests in the Mediterranean Region. For. Ecol. Manag. 162(1): 23-37. doi:10. 1016/S0378-1127(02)00048-8.
46. Sala, O.E., Chapin, F.S., 3rd, Armesto, J.J., Berlow, E., Bloom-field, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L.F., Jackson, R.B., Kinzig, A., Leemans, R., Lodge, D.M., Mooney, H.A., Oesterheld, M., Poff, N.L., Sykes, M.T., Walker, B.H., Walker, M., and Wall, D.H. 2000. Global biodiversity scenarios for the year 2100. Science, 287(5459): 1770-1774. doi:10.1126/science. 287.5459.1770. PMID: 10710299.
47. Sarris, D., Christodoulakis, D., and Körner, C. 2007. Recent decline in precipitation and tree growth in the eastern Mediterranean. Glob. Change Biol. 13(6): 1187-1200. doi: 10.1111/j. 1365-2486.2007.01348.X.
48. Schröter, D., Cramer, W., Leemans, R., Prentice, I.C., Araújo, M.B., Arnell, N.W., Bondeau, A., Bugmann, H., Carter, T.R., Gracia, C.A., de la Vega-Leinert, A.C., Erhard, M., Ewert, F., Glendining, M., House, J.I., Kankaanpää, S., Klein, R.J.T., La-vorel, S., Lindner, M., Metzger, M.J., Meyer, J., Mitchell, T.D., Reginster, I., Rounsevell, M., Sabaté, S., Sitch, S., Smith, B., Smith, J., Smith, P., Sykes, M.T., Thonicke, K., Thuiller, W., Tuck, G., Zaehle, S., and Zierl, B. 2005. Ecosystem service supply and vulnerability to global change in Europe. Science, 310(5752): 1333-1337. doi:10.1126/science.H15233. PMID: 16254151.
49. Smith, D.M., Larson, B.C., Kelty, M.J., and Ashton, P.M.S. 1997. The practice of silviculture. Applied forest ecology. 9th ed. John Wiley & Sons, Inc., New York
50. Spittlehouse, D.L., and Stewart, R.B. 2003. Adaptation to climate change in forest management. BC J. Ecosyst. Manag. 4(1): 1-11.
51. Stendel, M., Romanovsky, V.E., Christensen, J.H., and Sazonova, T. 2007. Using dynamical downscaling to close the gap between global change scenarios and local permafrost dynamics. Global Planet. Change, 56(1-2): 203-214. doi:10.1016/j.gloplacha. 2006.07.014.
52. Stone, M.C., Hotchkiss, R.H., Hubbard, CM., Fontaine, T.A., Mearns, L.O., and Arnold, J.G. 2001. Impacts of climate change on Missouri River Basin water yield. J. Am. Water Resour. As-soc. 37(5): 1119-1129. doi:10.1111/j.l752-1688.2001.tb03626.x.
53. Tebaldi, C, and Knutti, R. 2007. The use of the multi-model ensemble in probabilistic climate projections. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 365(1857): 2053-2075. doi:10. 1098/rsta.2007.2076. PMID: 17569654.
54. Vila, B., Vennetier, M., Ripert, C, Chandioux, O., Liang, E., Gui-bal, F., and Torre, F. 2008. Has global change induced divergent trends in radial growth of Pinus sylvestris and Pinus halepensis at their bioclimatic limit? The example of the Sainte-Baume forest (south-east France). Ann. For. Sci. 65(7): 709-718. doi:10. 1051/forest:2008048.
55. Wang, G.G. 1995. White spruce site index in relation to soil, un-derstory vegetation, and foliar nutrients. Can. J. For. Res. 25(1): 29-38. doi:10.1139/x95-004.
56. Wang, G.G., and Klinka, K. 1996. Use of synoptic variables in predicting white spruce site index. For. Ecol. Manag. 80(1-3): 95-105. doi:10.1016/0378-1127(95)03630-X.
57. Weiskittel, A.R., Garber, S.M., Johnson, G.P., Maguire, DA., and Monserud, RA. 2007. Annualized diameter and height growth equations for Pacific Northwest plantation-grown Douglas-fir, western hemlock, and red alder. For. Ecol. Manag. 250(3): 266-278. doi:10.1016/j.foreco.2007.05.026.
58. Woollons, R.C, Snowdon, P., and Mitchell, N.D. 1997. Augmenting empirical stand projection equations with edaphic and climatic variables. For. Ecol. Manag. 98(3): 267-275. doi:10.1016/ S0378-1127(97)00090-X.
59. Wotton, B.M., Stocks, M.D., Flannigan, R., LaPrise, R., and Blanchet, J.-P. 1998. Estimating future 2xC02 fire climates in the boreal forest of Canada using a regional climate model. In Proceedings of the 3rd International Conference on Forest Fire Research and the 14th Conference in Fire and Forest Meteorology, University of Coimbra, Portugal. Ed. Dx Viegas, Coimbra. pp. 1207-1221.