Vulnerability of uneven-aged forests to storm damage

Forestry

Volumn 87, Issue 4, 2014, Pages 525-534

  Hanewinkel, Marc ^a   Kuhn, Thomas ^a   Bugmann, Harald ^b   Lanz, Adrian ^a   Brang, Peter ^a  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE; HARVESTING; REGRESSION ANALYSIS; STAND STRUCTURE; STORM DAMAGE; THINNING; TREE; VULNERABILITY;

NEUCHATEL [SWITZERLAND]; SWITZERLAND;

EID: 84906540033     PISSN: 0015752X     EISSN: 14643626     Source Type: Journal    
DOI: 10.1093/forestry/cpu008     Document Type: Article

References (42)

1. Akaike, H. 1974 A new look at statistical model identification. IEEE transac. automat. control AC-19, 716-723.
2. Albrecht, A., Hanewinkel, M., Bauhus, J. and Kohnle, U. 2012 How does silviculture affect storm damage in forests of south-western Germany? Results from empirical modeling based on long-term observations. Eur. J. For. Res. 131, 229-247.
3. Albrecht, A., Kohnle, U., Hanewinkel, M. and Bauhus, J. 2013 Storm damage of Douglas fir unexpectedly high compared to Norway spruce. Ann. For. Sci. 70, 195-207.
4. Anderson, D.R., Burnham, K.P. and Thompson, W.L. 2000 Null hypothesis testing: problems, prevalence, and an alternative. J. Wildlife Manag. 64, 912-923.
5. Bivand, R. 2013 spdep: Spatial dependence: weighting schemes, statistics and models. R package version 0.5-65. http://CRAN.R-project.org/package=spdep.
6. Bonnesoeur, V., Fournier, M., Bock, J., Badeau, V., Fortin, M. and Colin, F. 2013 Improving statistical windthrow modeling of 2 Fagus sylvatica stand structures through mechanical analysis. For. Ecol. Manag. 289, 535-543.
7. Dobbertin, M. 2002 Influence of stand structure and site factors on wind damage comparing the storms Vivian and Lothar. For. Snow Landscape Res. 1/2, 187-205.
8. Dormann, C., McPherson, J., Araújo, M., Bivand, R., Bolliger, J. and Carl, G. et al. 2007 Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30, 609-628.
9. Dvorak, L., Bachmann, P. and Mandallaz, D. 2001 Sturmschäden in ungleichförmigen Beständen. Schweiz Z Forstwes 152, 445-452.
10. Ellenberg, H. and Klötzli, F. 1972 Waldgesellschaften und Waldstandorte der Schweiz. Mitt. Schweiz. Anst. Forstl. Versuchsw 48, 587-930.
11. ESRI. 2012 ArcGIS Resource Center. Desktop 10. Curvature (Spatial Analyst). http://help.arcgis.com/de/arcgisdesktop/10.0/help/index.html-// 009z000000tw000000. (accessed on October, 2013).
12. Favre, L.A. and Oberson, J.M. 2002 Die 111-jährige Anwendung der Kontrollmethode im Gemeindewald von Couvet. http://www.ne.ch/neat/site/jsp/ rubrique/rubrique.jsp?StyleType=bleu&CatId=5749. (accessed on March, 2013).
13. Fridman, J. and Valinger, E. 1998 Modelling probability of snow and wind damage using tree, stand, and site characteristics from Pinus sylvestris sample plots. Scand. J. For. Res. 13, 348-356.
14. Gardiner, B., Byrne, K., Hale, S., Kamimura, K., Mitchell, S., Peltola, H. and Ruel, J.C. 2008 A reviewof mechanistic modelling of wind damage risk to forests. Forestry 81, 447-461.
15. Hanewinkel, M. 2001 Financial results of selection forest enterprises with high proportions of valuable timber -results of an empirical study and their application. Schweiz Z Forstwes 152, 343-349.
16. Hanewinkel, M. 2002 Comparative economic investigations of even-aged and uneven-aged silvicultural systems: a critical analysis of different methods. Forestry 75, 473-481.
17. Hanewinkel, M. 2005 Neural networks for assessing the risk of windthrowon the forest division level: a case study in southwest Germany. Eur. J. For. Res. 124, 243-249.
18. Hanewinkel, M., Zhou, W. and Schill, C. 2004 A neural network approach to identify forest stands susceptible to wind damage. For. Ecol. Manag. 196, 227-243.
19. Hanewinkel, M., Breidenbach, J., Neeff, T. and Kublin, E. 2008 77 years of natural disturbances in a mountain forest area -the influence of storm, snow and insect damage analysed with a long-term time-series. Can. J. For. Res. 38, 2249-2261.
20. Hanewinkel, M., Hummel, S. and Albrecht, A. 2011 Assessing natural hazards in forestry for risk management: a review. Eur. J. For. Res. 130, 329-351.
21. Jalkanen, A. and Mattila, U. 2000 Logistic regression models for wind and snow damage in northern Finland based on the National Forest Inventory data. For. Ecol. Manag. 135, 315-330.
22. Kamimura, K., Saito, S., Kinoshita, H., Kitagawa, K., Uchida, T. and Mizunaga, H. 2013 Analysis of wind damage caused by multiple tropical storm events in Japanese Cryptomeria japonica forests. Forestry. doi:10.1093/forestry/ cpt1011
23. Kenk, G. and Guehne, S. 2001 Management of transformation in central Europe. For. Ecol. Manag. 151, 107-119.
24. Klaus, M., Holsten, A., Hostert, P. and Kropp, J.P. 2011 An integrated methodology to assess windthrow impacts on forest stands under climate change. For. Ecol. Manag. 261, 1799-1810.
25. König, A. 1995 Sturmgefährdung von Beständen im Altersklassenwald. J.D. Sauerländer's.
26. Mason, W.L. 2002 Are irregular stands more windfirm? Forestry 75, 347-355.
27. Mayer, P., Brang, P., Dobbertin, M., Hallenbarter, D., Renaud, J.-P. and Walthert, L. et al. 2005 Forest storm damage is more frequent on acidic soils. Ann. For. Sci. 62, 303-311.
28. Meteoswiss. 2009 Orkan Lothar -10 Jahre danach. http://www.meteoschweiz. admin.ch/web/de/wetter/wetterereignisse/orkan-lothar-10.html. (accessed on October, 2013).
29. Mitchell, S., Hailemariam, T. and Kulis, Y. 2001 Empirical modeling of cutblock edge windthrow risk on Vancouver Island, Canada, using stand level information. For. Ecol. Manag. 154, 117-130.
30. Mosteller, F. and Tukey, J.W. 1977 Data Analysis and Regression: A Second Course in Statistics. Addison-Wesley.
31. Nolet, P., Doyon, F. and Bouffard, D. 2012 Predicting atem windthrow probability in a northern hardwood forest using a wind intensity bio-indicator approach. Open J. For. 2, 77-87.
32. Peltola, H., Kellomäki, S., Väisänen, H. and Ikonen, V.-P. 1999 A mechanistic model for assessing the risk of wind and snow damage to single trees and stands of Scots pine, Norwayspruce, and birch. Can. J. For. Res.29, 647-661.
33. R-development-core-team. 2013 R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing.
34. Richard, J.L. 1965 Extrait des cartes phytosociologiques des forêts du canton. Neuchâtel. Beitr. geobat. Landesaufnahme d. Schweiz 47, 48.
35. Schmidt, M., Hanewinkel, M., Kändler, G., Kublin, E. and Kohnle, U. 2010 An inventory-based approach for modeling single tree storm damage - experiences with the winter storm 1999 in southwestern Germany. Can. J. For. Res. 40, 1636-1652.
36. Schmoeckel, J. and Kottmeier, C. 2008 Storm damage in the black forest caused by the winter storm 'Lothar'. Part 1: airborne damage assessment. Nat. Hazards Earth Syst. Sci. 2, 1-9.
37. Schütz, J.P. 1975 Dynamique et conditions d'équilibre de peuplements jardinés sur les stations de la hê traie à sapin. Schweiz Z Forstwes 126, 637-671.
38. Schütz, J.P. 2006 Demographic sustainability of beech plenter forests. Ann. For. Sci. 63, 93-100.
39. Schütz, J.P., Götz, M., Schmid, W. and Mandallaz, D. 2006 Vulnerability of spruce (Picea abies) and beech (Fagus sylvatica) forest stands to storms and consequences for silviculture. Eur. J. For. Res. 125, 291-302.
40. Spiecker, H., Hansen, J., Klimo, E., Skovsgaard, J., Sterba, H. and von Teuffel, K. (eds). 2004 Norway spruce conversion: options and consequences. European Forest Institute, Research Report 18. Brill, S. Leiden, Boston.
41. Köln. Sterba, H. and Zingg, A. 2006 Abstandsabhängige und abstandsunabha n̈gige Bestandesstrukturbeschreibung. Allgemeine Forst und Jagdzeitung 177, 169-176.
42. Valinger, E. and Fridman, J. 2011 Factors affecting the probability of windthrow at stand level as a result of Gudrun winter storm in southern Sweden. For. Ecol. Manag. 262, 398-403.