Literature DB >> 21207068

GIS-based estimation of the winter storm damage probability in forests: a case study from Baden-Wuerttemberg (Southwest Germany).

Dirk Schindler1, Karin Grebhan, Axel Albrecht, Jochen Schönborn, Ulrich Kohnle.   

Abstract

Data on storm damage attributed to the two high-impact winter storms 'Wiebke' (28 February 1990) and 'Lothar' (26 December 1999) were used for GIS-based estimation and mapping (in a 50 × 50 m resolution grid) of the winter storm damage probability (P(DAM)) for the forests of the German federal state of Baden-Wuerttemberg (Southwest Germany). The P(DAM)-calculation was based on weights of evidence (WofE) methodology. A combination of information on forest type, geology, soil type, soil moisture regime, and topographic exposure, as well as maximum gust wind speed field was used to compute P(DAM) across the entire study area. Given the condition that maximum gust wind speed during the two storm events exceeded 35 m s(-1), the highest P(DAM) values computed were primarily where coniferous forest grows in severely exposed areas on temporarily moist soils on bunter sandstone formations. Such areas are found mainly in the mountainous ranges of the northern Black Forest, the eastern Forest of Odes, in the Virngrund area, and in the southwestern Alpine Foothills.

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Year:  2011        PMID: 21207068     DOI: 10.1007/s00484-010-0397-y

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

1.  Climate. The North Atlantic oscillation.

Authors:  J W Hurrell; Y Kushnir; M Visbeck
Journal:  Science       Date:  2001-01-26       Impact factor: 47.728

2.  Modelling the wind damage probability in forests in Southwestern Germany for the 1999 winter storm 'Lothar'.

Authors:  Dirk Schindler; Karin Grebhan; Axel Albrecht; Jochen Schönborn
Journal:  Int J Biometeorol       Date:  2009-06-27       Impact factor: 3.787

  2 in total
  1 in total

1.  Sixty years of the International Journal of Biometeorology.

Authors:  Scott C Sheridan; Michael J Allen
Journal:  Int J Biometeorol       Date:  2017-05-05       Impact factor: 3.787

  1 in total

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