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All issues Volume 67 / No 3 (May 2010) Ann. For. Sci., 67 3 (2010) 304 References
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Issue
Ann. For. Sci.
Volume 67, Number 3, May 2010
Article Number 304
Number of page(s) 8
Section Original articles
DOI https://doi.org/10.1051/forest/2009111
Published online 18 February 2010
  • Aakala T., Kuuluvainen T., De Grandpre L. and Gauthier S., 2007. Trees dying standing in the northeastern boreal old-growth forests of Quebec: spatial patterns, rates, and temporal variation. Can. J. For. Res. 37: 50–61 [CrossRef] [Google Scholar]
  • Antos J.A., Parish R. and Nigh G.D., 2008. Growth patterns prior to mortality of mature Abies lasiocarpa in old-growth subalpine forests of southern British Columbia. For. Ecol. Manage. 255: 1568–1574 [CrossRef] [Google Scholar]
  • Besag J. and Diggle P.J., 1977. Simple Monte Carlo tests for spatial patterns. Appl. Stat. 26: 327–333 [Google Scholar]
  • Bigler C. and Bugmann H., 2003. Growth-dependent tree mortality models based on tree rings. Can. J. For. Res. 33: 210–221 [CrossRef] [Google Scholar]
  • Bigler C. and Bugmann H., 2004. Predicting the time of tree death using dendrochronological data. Ecol. Appl. 14: 902–914 [CrossRef] [Google Scholar]
  • Bugmann H., 2001. A review of forest gap models. Clim. Change 51: 259–305 [CrossRef] [Google Scholar]
  • Castagneri D., Vacchiano G., Lingua E. and Motta R., 2008. Analysis of intraspecific competition in two subalpine Norway spruce (Picea abies (L.) Karst.) stands in Paneveggio (Trento, Italy). For. Ecol. Manage. 255: 651–659 [CrossRef] [Google Scholar]
  • Cherubini P., Fontana G., Rigling D., Dobbertin M., Brang P. and Innes J.L., 2002. Tree-life history prior to death: two fungal root pathogens affect tree-ring growth differently. J. Ecol. 90: 839–850 [CrossRef] [Google Scholar]
  • Cherubini P., Piussi P. and Schweingruber F.H., 1996. Spatiotemporal growth dynamics and disturbances in a subalpine spruce forest in the Alps: A dendroecological reconstruction. Can. J. For. Res. 26: 991–1001 [CrossRef] [Google Scholar]
  • Crecente-Campo F., Marshall P. and Rodriguez-Soalleiro R., 2009. Modeling non-catastrophic individual-tree mortality for Pinus radiata plantations in northwestern Spain. For. Ecol. Manage. 257: 1542–1550 [CrossRef] [Google Scholar]
  • Diggle P.J., 1983. Statistical analysis of spatial point patterns. Academic Press, New York. [Google Scholar]
  • Dobbertin M., 2005. Tree growth as indicator of tree vitality and of tree reaction to environmental stress: a review. Eur. J. For. Res. 124: 319–333 [CrossRef] [Google Scholar]
  • Dobbertin M., Baltensweiler A. and Rigling D., 2001. Tree mortality in an unmanaged mountain pine (Pinus mugo var. uncinata) stand in the Swiss National Park impacted by root rot fungi. For. Ecol. Manage. 145: 79–89 [CrossRef] [Google Scholar]
  • Doležal J., Srutek M., Hara T., Sumida A. and Penttila T., 2006. Neighborhood interactions influencing tree population dynamics in nonpyrogenous boreal forest in northern Finland. Plant Ecol. 185: 135–150 [CrossRef] [Google Scholar]
  • Eid T. and Tuhus E., 2001. Models for individual tree mortality in Norway. For. Ecol. Manage. 154: 69–84 [CrossRef] [Google Scholar]
  • Ford E.D. and Diggle P.J., 1981. Competition for light in a plant monoculture modelled as a spatial stochastic process. Ann. Bot. 48: 481–500 [Google Scholar]
  • Franklin J.F., Shugart H.H. and Harmon M.E., 1987. Tree death as an ecological process. BioScience 37: 550–556 [Google Scholar]
  • Getzin S., Dean C., He F.L., Trofymow J.A., Wiegand K. and Wiegand T., 2006. Spatial patterns and competition of tree species in a Douglas-fir chronosequence on Vancouver Island. Ecography 29: 671–682 [CrossRef] [Google Scholar]
  • Getzin S., Wiegand K., Schumacher J. and Gougeon F.A., 2008. Scale-dependent competition at the stand level assessed from crown areas. For. Ecol. Manage. 255: 2478–2485 [CrossRef] [Google Scholar]
  • Goreaud F. and Pelissier R., 2003. Avoiding misinterpretation of biotic interactions with the intertype K-12-function: population independence vs. random labelling hypotheses. J. Veg. Sci. 14: 681–692 [CrossRef] [Google Scholar]
  • Goreaud F., Loreau M. and Millier C., 2002. Spatial structure and the survival of an inferior competitor: a theoretical model of neighbourhood competition in plants. Ecol. Model. 158: 1–19 [CrossRef] [Google Scholar]
  • Haase P., 1995. Spatial pattern-analysis in ecology based on Ripley K-function – introduction and methods of edge correction. J. Veg. Sci. 6: 575–582 [CrossRef] [Google Scholar]
  • Haase P., 2001. Can isotropy vs. anisotropy in the spatial association of plant species reveal physical vs. biotic facilitation? J. Veg. Sci. 12: 127–136 [Google Scholar]
  • Harmon M.E., Franklin J.F., Swanson F.J., Sollins P., Gregory S.V., Lattin J.D., Anderson N.H., Cline S.P., Aumen N.G., Sedell J.R., Lienkaemper G.W., Cromack K. and Cummins K.W., 1986. Ecology of coarse woody debris in temperate ecosystems. Adv. Ecol. Res. 15: 133–302 [CrossRef] [Google Scholar]
  • Harper K.A., Bergeron Y., Drapeau P., Gauthier S. and De Grandpre L., 2006. Changes in spatial pattern of trees and snags during structural development in Picea mariana boreal forests. J. Veg. Sci. 17: 625–636 [CrossRef] [Google Scholar]
  • Hou J.H., Mi X.C., Liu C.R. and Ma K.P., 2004. Spatial patterns and associations in a Quercus-Betula forest in northern China. J. Veg. Sci. 15: 407–414 [CrossRef] [Google Scholar]
  • Josza L., 1988. Increment core sampling techniques for high quality cores. Forintek, sp-30, Special Publication, Vancouver, BC. [Google Scholar]
  • Kenkel N.C., 1988. Pattern of self-thinning in jack pine: testing the random mortality hypothesis. Ecology 69: 1017–1024 [CrossRef] [Google Scholar]
  • Lännenpäa A., Aakala T., Kauhanen H. and Kuuluvainen T., 2008. Tree mortality agents in pristine Norway spruce forests in northern Fennoscandia. Silva Fenn. 42: 151–163 [Google Scholar]
  • Lotwick H.W. and Silverman B.W., 1982. Methods for analysing spatial processes of several types of points. J. Roy. Stat. Soc. B. 44: 406–413 [Google Scholar]
  • Monserud R.A., 1976. Simulation of forest mortality. For. Sci. 22: 438–444 [Google Scholar]
  • Monserud R.A. and Sterba H., 1999. Modeling individual tree mortality for Austrian forest species. For. Ecol. Manage. 113: 109–123 [CrossRef] [Google Scholar]
  • Motta R., 2002. Old-growth forests and silviculture in the Italian Alps: the case-study of the strict reserve of Paneveggio (TN). Plant Biosyst. 136: 223–231 [CrossRef] [Google Scholar]
  • Motta R., Nola P. and Piussi P., 1999. Structure and stand development in three subalpine Norway spruce (Picea abies (L.) Karst.,) stands in Paneveggio (Trento, Italy). Global Ecol. Biogeogr. 8: 455–471 [Google Scholar]
  • Motta R., Nola P. and Piussi P., 2002. Long-term investigations in a strict forest reserve in the eastern Italian Alps: spatio-temporal origin and development in two multi-layered subalpine stands. J. Ecol. 90: 495–507 [CrossRef] [Google Scholar]
  • Nagel T.A. and Diaci J., 2006. Intermediate wind disturbance in an old-growth beech-fir forest in southeastern Slovenia. Can. J. For. Res. 36: 629–638 [CrossRef] [Google Scholar]
  • Olano J.M., Laskurain N.A., Escudero A. and De La Cruz M., 2009. Why and where do adult trees die in a young secondary temperate forest? The role of neighbourhood. Ann. For. Sci. 66: 105. [CrossRef] [EDP Sciences] [Google Scholar]
  • Oliver C.D. and Larson B.C., 1996. Forest Stand Dynamics. John Wiley & Sons, New York, 520 p. [Google Scholar]
  • Peet R.K., Christensen and N.L., 1987. Competition and tree death. BioScience 37: 586–595 [Google Scholar]
  • Peterken G.F., 1996. Natural Woodland. Ecology and conservation in northern temperate regions. Cambridge Univeristy Press, Cambridge. [Google Scholar]
  • Ripley B.D., 1976. The second-order analysis of stationary point processes. J. Appl. Prob. 13: 255–266 [Google Scholar]
  • Smith F.W. and Long J.N., 2001. Age-related decline in forest growth: an emergent property. For. Ecol. Manage. 144: 175–181 [CrossRef] [Google Scholar]
  • Storaunet K.O. and Rolstad J., 2004. How long do Norway spruce snags stand? Evaluating four estimation methods. Can. J. For. Res. 34: 376–383 [CrossRef] [Google Scholar]
  • Taylor S. and MacLean D.A., 2007. Spatiotemporal patterns of mortality in declining balsam fir and spruce stands. For. Ecol. Manage. 253: 188–201 [CrossRef] [Google Scholar]
  • Turner M.G., Collins S.L., Lugo A.E., Magnuson J.J., Rupp T.S. and Swanson F.J., 2003. Disturbance dynamics and ecological response: the contribution of long-term ecological research. BioScience 53: 46–56 [CrossRef] [Google Scholar]
  • Uriarte M., Canham C.D., Thompson J. and Zimmerman J.K., 2004. A neighborhood analysis of tree growth and survival in a hurricane-driven tropical forest. Ecol. Monographs 74: 591–614 [Google Scholar]
  • Vacek S. and Lepš J., 1996. Spatial dynamics of forest decline: The role of neighbouring trees. J. Veg. Sci. 7: 789–798 [CrossRef] [Google Scholar]
  • Ward J.S., Parker G.R. and Ferrandino F.J., 1996. Long-term spatial dynamics in an old-growth deciduous forest. For. Ecol. Manage. 83: 189–202 [CrossRef] [Google Scholar]
  • Wiegand T. and Moloney K.A., 2004. Rings, circles, and null-models for point pattern analysis in ecology. Oikos 104: 209–229 [CrossRef] [MathSciNet] [Google Scholar]
  • Wolf A., 2005. Fifty year record of change in tree spatial patterns within a mixed deciduous forest. For. Ecol. Manage. 215: 212–223 [CrossRef] [Google Scholar]
  • Wyckoff P.H. and Clark J.S., 2000. Predicting tree mortality from diameter growth: a comparison of maximum likelihood and Bayesian approaches. Can. J. For. Res. 30: 156–167 [CrossRef] [Google Scholar]
  • Zhang J., Hao Z., Sun I.F., Song B., Ye J., Li B. and Wang X., 2009. Density dependence on tree survival in an old-growth temperate forest in northeastern China. Ann. For. Sci. 66: 204. [CrossRef] [EDP Sciences] [Google Scholar]