Free access
Issue
Ann. For. Sci.
Volume 67, Number 8, December 2010
Article Number 810
Number of page(s) 10
Section Original articles
DOI http://dx.doi.org/10.1051/forest/2010046
Published online 28 October 2010
  • Adame P., Del Río M., and Cañellas I., 2008a. A mixed nonlinear height-diameter model for pyrenean oak (Quercus pyrenaica Willd.). For. Ecol. Manage. 256: 88–98. [CrossRef]
  • Adame P., Hynynen J., Cañellas I., and Del Río M., 2008b. Individual-tree diameter growth model for rebollo oak (Quercus pyrenaica Willd.) coppices. For. Ecol. Manage. 255: 1011–1022. [CrossRef]
  • Alenius V., Hökkä H., Salminen H., and Jutras S., 2003. Evaluating estimation methods for logistic regression in modelling individual-tree mortality. In: Amaro A., Reed D., and Soares P. (Eds.), Modelling forest systems, CAB International, Wallingford, pp. 225–236.
  • Álvarez González J.G., Castedo Dorado F., Ruíz González A.D., López Sánchez C.A., and Von Gadow K., 2004. A two-step mortality model for even-aged stands of Pinus radiata D. Don in Galicia (Northwestern Spain). Ann. For. Sci. 61: 439–448.
  • Amateis R.L., Burkhart H.E., and Jiping L., 1997. Modeling survival in juvenile and mature loblolly pine plantations. For. Ecol. Manage. 90: 51–58. [CrossRef]
  • Avila O. and Burkhart H.E., 1992. Modeling survival of loblolly pine trees in thinned and unthinned plantations. Can. J. For. Res. 22: 1878–1882. [CrossRef]
  • Bigler C. and Bugmann H., 2003. Growth-dependent tree mortality models based on tree rings. Can. J. For. Res. 33: 210–221. [CrossRef]
  • Bravo-Oviedo A., Sterba H., del Río M., and Bravo F., 2006. Competition-induced mortality for Mediterranean Pinus pinaster Ait. and P. sylvestris L. For. Ecol. Manage. 222: 88–98. [CrossRef]
  • Bravo F., Del Río M., and Del Peso C., 2002. El Inventario Forestal Nacional. Elemento clave para la gestión forestal sostenible, Fundación General de la Universidad de Valladolid, 191 p.
  • Cañellas I., Del Río M., Roig S., and Montero G., 2004. Growth response to thinning in Quercus pyrenaica Willd. coppice stands in Spanish central mountain. Ann. For. Sci. 61: 243–250. [CrossRef] [EDP Sciences]
  • Cannel M.G.R., Rothery P., and Ford E.D., 1984. Competition within stands of Picea sitchensis and Pinus contorta. Ann. Bot. 53: 349–362.
  • Crow G.R. and Hicks R.R., 1990. Predicting mortality in mixed oak stands following spring insect defoliation. For. Sci. 36: 831–841.
  • Davies S.J., 2001. Tree mortality and growth in 11 sympatric Macaranga species in Borneo. Ecology 82: 920–932.
  • DGCN, 2005. Anuario de Estadísticas Forestales, Dirección General de Conservación de la Naturaleza, Ministerio de Medio Ambiente, Madrid.
  • Diéguez-Aranda U., Castedo Dorado F., Álvarez González J.G., and Rodríguez-Soalleiro R., 2005. Modelling mortality of Scots pine (Pinus sylvestris L.) plantations in the northwest of Spain. Eur. J. Forest. Res. 124: 143–153. [CrossRef]
  • Dobbertin M. and Biging G.S., 1998. Using the non-parametric classifier CART to model forest tree mortality. For. Sci. 44: 507–516.
  • Dobbertin M. and Brang P., 2001. Crown defoliation improves tree mortality models. For. Ecol. Manage. 141: 271–284. [CrossRef]
  • Drobyshev I., Dobrovolsky A., and Neshataev V., 2009. Tree mortality in a mixed deciduous forest in Northwestern Russia over 22 years. Ann. For. Sci. 66: 411. [CrossRef] [EDP Sciences]
  • Drobyshev I., Niklasson M., Linderson H., Sonesson K., Karlsson M., Nilsson S.G., and Lanner J., 2008. Lifespan and mortality of old oaks – combining empirical and modelling approaches to support their management in Southern Sweden. Ann. For. Sci. 65: 401. [CrossRef] [EDP Sciences]
  • Eid T. and Tuhus E., 2001. Models for individual tree mortality in Norway. For. Ecol. Manage. 154: 69–84. [CrossRef]
  • Elena Roselló R., 1997. Clasificación Biogeoclimática de España Peninsular y Balear., MAPA, Madrid, 446 p.
  • Fox J.C., Ades P.K., and Bi H., 2001. Stochastic structure and individual-tree growth models. For. Ecol. Manage. 154: 261–276. [CrossRef]
  • Franklin J.F., Shugart H.H., and Harmon M.E., 1987. Tree death as an ecological process. Bioscience 37: 550–556. [CrossRef]
  • Fridman J. and Stahl G., 2001. A three-step approach for modelling tree mortality in Swedish Forests. Scand. J. For. Res. 16: 455–466. [CrossRef]
  • Hamilton D.A., 1986. A logistic model of mortality in thinned and unthinned mixed conifer stands of Northern Idaho. For. Sci. 32: 989–1000.
  • Hasenauer H., Merkl D., and Weingartner M., 2001. Estimating tree mortality in Norway spruce stands with neural networks. Adv. Environ. Res. 5: 405–414. [CrossRef]
  • Hawkes C., 2000. Woody plant mortality algorithms: description, problems and progress. Ecol. model. 126: 225–248. [CrossRef]
  • Jutras S., Hökkä H., Alenius V., and Salminen H., 2003. Modeling mortality of individual trees in drained peatland sites in Finland. Silva Fenn. 37: 235–251.
  • Karlsson K. and Norell L., 2005. Modelling survival probability of individual trees in Norway spruce stands under different thinning regimes. Can. J. For. Res. 35: 113–121. [CrossRef]
  • Laard A. and Akça A., 1997. Forest mensuration, Cuvillier Verlag, Göttingen.
  • Mabvurira D. and Miina J., 2002. Individual-tree growth and mortality models for Eucalyptus grandis (Hill.) Maiden plantations in Zimbabwe. For. Ecol. Manage. 161: 231–245. [CrossRef]
  • MacFarlane D.W., Greene E.J., Brunner A., and Burkhart H.E., 2002. Predicting survival and growth rates for individual loblolly pine trees from light capture estimates. Can. J. For. Res. 32: 1970–1983. [CrossRef]
  • Mailly D., Gaudreault M., Picher G., Auger I., and Pothier D., 2009. A comparison of mortality rates between top height trees and average site trees. Ann. For. Sci. 66: 202. [CrossRef] [EDP Sciences]
  • McCullagh P. and Nelder J.A., 1989. Generalized linear models, 2nd edition, Chapman a Hall/CRC, 511 p.
  • McCulloch C.E. and Searle S.R., 2001. Generalized, linear, and mixed models, Wiley, New York, 358 p.
  • Meng Q., Cieszewski C.J., Lowe R.C., and Zasada M., 2003. A three-step approach to model tree mortality in the State of Georgia. Fifth Annual Forest Inventory and Analysis Symposium, United States Department of Agriculture. Forest Service, New Orleans, Louisiana, pp. 91–96.
  • Monserud R.A. and Sterba H., 1999. Modeling individual tree mortality for Austrian forest species. For. Ecol. Manage. 113: 109–123. [CrossRef]
  • Pedersen S.M., 2007. Models of individual tree mortality for trembling aspen, lodgepole pine, hybrid spruce and subalpine fir in northwestern British Columbia, Examensarbeten, Institutionen för skongens ekologi och skötsel, Umea, 61 p.
  • Peet R.K. and Christensen N.L., 1987. Compettion and tree death. Bioscience 37: 586–595. [CrossRef]
  • Roig S., del Río M., Ruíz-Peinado R., and Cañellas I., 2007. Tipología dasométrica de los rebollares (Quercus pyrenaica Willd.) de la zona centro de la Península IbéricaLos sistemas forrajeros: entre la producción y el paisaje, Actas de la XLVI Reunión Científica de la Sociedad Española para el Estudio de los Pastos, Vitoria, pp. 535–542.
  • Sánchez O., Sánchez F., and Carretero M.P., 1999. Modelos y Cartografía de Estimaciones Climáticas Termopluviométricas para la España Peninsular, INIA, Madrid, 192 p.
  • SAS/STAT, 2000. SAS/STAT user’s guide, version 8, SAS Institute Inc., Cary, N.C.
  • SAS/STAT, 2001. The SAS System for Windows Release 6.12, SAS Institute Inc., Cary, N.C.
  • Schröder J., Rhöle H., Gerold D., and Münder K., 2007. Modeling individual-tree growth in stands under forest conversion in East Germany. Eur. J. For. Res. 126: 459–472. [CrossRef]
  • Shifley S.R., Fan Z., Kabrick J.M., and Jensen R.G., 2006. Oak mortality risk factors and mortality estimation. For. Ecol. Manage. 229: 16–26. [CrossRef]
  • Smith R.G.B. and Nichols J.D., 2005. Patterns of basal area increment, mortality and recruitment were related to logging intensity in subtropical rainforest in Australia over 35 years. For. Ecol. Manage. 218: 319–328. [CrossRef]
  • Trasobares A., Pukkala T., and Miina J., 2004a. Growth and yield model for uneven-aged mixtures of Pinus sylvestris L. and Pinus nigra Arn. in Catalonia, north-east Spain. Ann. For. Sci. 61: 9–24. [CrossRef] [EDP Sciences]
  • Trasobares A., Tomé M., and Miina J., 2004b. Growth and yield model for Pinus halepensis Mill. in Catalonia, north-east Spain. For. Ecol. Manage. 203: 49–62. [CrossRef]
  • Vanclay J.K., 1994. Modelling forest growth and yield – Application to mixed tropical forests, CAB Int., UK, 312 p.
  • Vanclay J.K., 2003. Growth modelling and yield predicion for sustainable forest management. The Malaysian Forester 66: 58–69.
  • Walter H. and Lieth H., 1960. Klimdiagramme-Weltatlas, Jena.
  • Waring R.H., 1987. Characteristics of trees predisposed to die. Bioscience 37: 569–574. [CrossRef]
  • Weingartner M., Merkl D., and Hasenauer H., 2000. Improving tree mortality predictions of Norway Spruce stands with neural networks. Symposium on Integration in Environmental Information Systems, Zell am See, Austria.
  • Yang Y., Titus S.J., and Huang S., 2003. Modeling individual tree mortality for white spruce in Alberta. Ecol. model. 163: 209–222. [CrossRef]
  • Yao X., Titus S.J., and MacDonald S.E., 2001. A generalized logistic model of individual tree mortality for aspen, white spruce, and lodgepole pine in Alberta mixedwood forests. Can. J. For. Res. 31: 283–291. [CrossRef]
  • Zens M.S. and Peart D.R., 2003. Dealing with death data: individual hazard, mortality, and bias. Trends Ecol. Evol. 18: 366–373. [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed]
  • Zhang S., Amateis R.L., and Burkhart H., 1997. Constraining individual tree diameter increment and survival models for loblolly pine plantations. For. Sci. 43: 414–423.
  • Zhao D., Borders B.E., Wang M., and Kane M., 2007. Modeling mortality of second-rotation loblolly pine plantations in the Piedmont/Upper Coastal Plain and Lower Coastal Plain of the southern United States. For. Ecol. Manage. 252: 132–143. [CrossRef]