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All issues Volume 66 / No 1 (January-February 2009) Ann. For. Sci., 66 1 (2009) 108 References
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Issue
Ann. For. Sci.
Volume 66, Number 1, January-February 2009
Article Number 108
Number of page(s) 10
DOI https://doi.org/10.1051/forest/2008080
Published online 31 January 2009
References of  Ann. For. Sci. 66 (2009) 108
  1. Adame P., Cañellas I., Roig S., and del Rio M. 2006. Modelling dominant height growth and site index curves for rebollo oak (Quercus pyrenaica Willd.). Ann. For. Sci. 63: 929–940.
  2. Battaglia M. and Sands P.J. 1998. Process-based forest productivity models and their applications in forest management. For. Eco. Manage. 102: 13–32.
  3. Benavides R., Montes F., Rubio A., and Osoro K. 2007. Geostatistical modelling of air temperature in a mountainous region of northern Spain. Agric. For. Meteorol. 146: 173–188.
  4. Bernier P.Y., Fournier R.A., Ung C.H., Robitaille G., Larocque G.R., Lavigne M.B., Boutin R., Raulier F., Paré D., Beaubien J., and Delisle C., 1999. Linking ecophysiology and forest productivity: An overview of the ECOLEAP project. For. Chron. 75: 417–421.
  5. Bravo F. and Díaz-Balteiro L., 2004 Evaluation of new silvicultural alternatives for Scots pine stands in northern Spain. Ann. For. Sci 61: 163–169.
  6. Bravo F. and Montero G., 2003. High-grading effects on Scots pine volume and basal area in pure stands in northern Spain. Ann. For. Sci. 60: 11–18 [EDP Sciences] [CrossRef].
  7. Bravo F., Rivas J.C., Monreal J.A., and Ordóñez C., 2005. Basifor 2.0: aplicación informática para el manejo de las bases de datos del inventario forestal nacional. In: IV Congreso Forestal Español, Zaragoza, Spain.
  8. Bravo-Oviedo A. and Montero G., 2006. Site index in relation to edaphic variables in stone pine (Pinus pinea L.) stands in south west Spain. Ann. For. Sci. 62: 61–72 [CrossRef].
  9. Carrega P., 1995. A method for reconstruction of mountain air temperatures with automatic cartographic applications. Theor. Appl. Climatol. 52: 69–84 [CrossRef].
  10. Daniel T.W., Helms J.A., and Baker F.S., 1979. Principles of silviculture. McGraw-Hill, New York, 521 p.
  11. Del Río M., Rivas J.C., Condés S., Martínez-Millán J., Montero G., Cañellas I., Ordóñez C., Pando V., San Martín R., and Bravo F., 2002. BASIFOR: Aplicación informática para el manejo de bases de datos del Segundo Inventario Forestal Nacional. In: Bravo F., Río M., Del Peso C. (Eds.), El Inventario Forestal Nacional. Universidad de Valladolid – MMA, Palencia, 181–191 p.
  12. Environmental Systems Research Institute, Inc. (ESRI), 2004. ArcGIS Desktop, Version 9.0. Reedlands, Washington.
  13. Environmental and Territorial Cartography Centre. Digital map of lithology in Asturias, 1:25 000 scale, Planning and Infrastructures Department, Regional Government of Asturias.
  14. Fernández S., Marquínez J., and Menéndez R., 2005. A susceptibility model for post wildfire erosion in a temperate oceanic mountain area of Spain. Catena 61: 256–272 [CrossRef].
  15. Gandullo J.M., 1994. Climatología y Ciencia del Suelo, Universidad Politécnica de Madrid, Fundación Conde del Valle de Salazar, Madrid.
  16. García López J.M., and Allué Camacho C., 2006. Characterization and phytoclimatic potentialities of Quercus petraea (Matt.) Liebl. and Quercus robur L. forests in Spain. Invest. Agrar: Sist. Recur. For. 15: 277–295.
  17. Gaussen H., 1954. Théorie et classification des climats et des microclimats du point de vue Phytogéographique. In: Le VIII Congrès International de Botanique, Paris, pp 125–130.
  18. Goelz J.C.G. and Burk T.E., 1992. Development of a well-behaved site index equation: Jack pine in north central Ontario. Can. J. For. Res. 22: 776–784 [CrossRef].
  19. Goodale C., Aber J.D., and Ollinger S.V., 1998. Mapping monthly precipitation, temperature, and solar radiation for Ireland with polynomial regression and a digital elevation model. Climate Res. 10: 35–49 [CrossRef].
  20. Goovaerts P., 2000. Geostatistical approaches fro incorporating elevation into the spatial interpolation of rainfall. J. Hydrol. 228: 113–129 [CrossRef].
  21. Hägglund B., 1981. Evaluation of forest site productivity. Forest Abstracts. Review Article 42: 515–527.
  22. Havesi J.A., Flint A.L., and Istok J.D., 1992. Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis. J. Appl. Meteorol. 31: 677–688.
  23. Hudson G. and Wackernagel H., 1994. Mapping temperatures using kriging with external drift: theory and an example from Scotland. Int. J. Climatol. 14: 77–91 [CrossRef].
  24. Johnston D.R., Grayson A.J., and Bradley R.T., 1967. Forest Planning, Faber and Faber Limited, London, 541 p.
  25. Kumar L., Skidmore A.K., and Knowles E., 1997. Modelling topographic variation in solar radiation in a GIS environment. Int. J. Geogr. Inf. Sci. 11: 475–497 [CrossRef].
  26. Landsberg J., 2003. Modelling forest ecosystems: state of the art, challenges and future directions. Can. J. For. Res. 33: 385–397 [CrossRef].
  27. Landsberg J.J. and Waring R.H., 1997. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance, and partitioning. For. Ecol. Manage. 95: 209–228 [CrossRef].
  28. Lemieux G.L., 1961. An evaluation of Paterson's CVP Index in Eastern Canada, Canada Department of Forestry, Forest Research Branch, Technical Note 112, 12 p.
  29. Marquínez J., Lastra J., and García P., 2003. Estimation models for precipitation in mountainous regions, the use of GIS and multivariate analysis. J. Hydrol. 270: 1–11 [CrossRef].
  30. Milner K.S., Running S.W., and Coble D.W., 1996. A biophysical soil-site model for estimating potential productivity of forested landscape. Can. J. For. Res. 26: 1174–1186 [CrossRef].
  31. Ministry of Environment of Spain, 2003. III Inventario Forestal Nacional (1997–2006). Principado de Asturias, Dirección General de Conservación de la Naturaleza, Secretaría General de Medio Ambiente, MMA, Madrid, 439 p.
  32. Monserud R.A., and Sterba H., 1996. A basal area increment model for individual trees growing in even- and uneven-aged forest stands in Austria. For. Ecol. Manage.80: 57–80.
  33. Ni J., 2004. Forest productivity of the Altay and Tianshan Mountains in the dryland, northwest China. For. Ecol. Manage. 202: 13–22 [CrossRef].
  34. Odeh I.O.A., McBratney A.B., and Chittleborough D.J., 1994. Spatial prediction of soil properties from landform attributes derived from a digital elevation model. Geoderma 63: 197–214 [CrossRef].
  35. Paterson S.S., 1956. The forest area of the world and its potential productivity, Royal University of Göteborg, Göteborg.
  36. Rolland C., 2002. Spatial and seasonal variations of air temperature lapse rates in Alpine Regions. J. Climate 16: 1032–1046 [CrossRef].
  37. Rodríguez Soalleiro R., Álvarez González J.G., and Schröder J., 2000. Simulation and comparison of silvicultural alternatives for even-aged Pinus pinaster Ait. stands in Galicia (Northwestern Spain). Ann. For. Sci. 57: 747–754 [EDP Sciences] [CrossRef]
  38. Sánchez Palomares O. and Sánchez Serrano F., 2000. Mapa de productividad potencial forestal de España. Cartografía digita, Dirección General de Conservación de la Naturaleza, MMA, Madrid, 317 p.
  39. Serrada R., 1976. Método para la evaluación con base ecológica de la productividad potencial de las masas forestales en grandes regiones y su aplicación en la España Peninsular, Ph.D. thesis, unpublished, Universidad Politécnica de Madrid, Madrid, 80 p.
  40. Shao G. and Reynolds K.M., (Eds) 2006. Computer applications in sustainable forest management including perspectives on collaboration and integration. Springer, Netherlands, 276 p.
  41. SPSS Inc., 2004. Statistical package for social sciences. Version 12.0. Chicago, Illinois.
  42. Tickle P.K., Coops N.C., Hafner S.D., and The Bago Science Team, 2001. Assessing forest productivity at local scales across a native eucalypt forest using a process model, 3PG-SPATIAL. For. Ecol. Manage. 152: 275–291 [CrossRef].
  43. Stoutjesdijk P. and Barkman J.J., 1992. Microclimate, Vegetation and Fauna, Opulus Press, Sweden, 216 p.
  44. Ung C.H., Bernier P.Y., Raulier F., Fournier R.A., Lambert M.C., and Régnière J., 2001. Biophysical site indices for shade tolerant and intolerant boreal species. For. Sci. 47: 83–95.
  45. Vanclay J.K., 1994. Modelling forest growth and yield. Applications to mixed tropical forests. CAB International, 312 p.
  46. Wang Y., Raulier F., and Ung C.H., 2005. Evaluation of spatial predictions of site index obtained by parametric and nonparametric methods – A case study of lodge pine productivity. For. Ecol. Manage. 214: 201–211 [CrossRef].