Next Article in Journal
Convection of Moist Saturated Air: Analytical Study
Next Article in Special Issue
Interactions between Climate, Land Use and Vegetation Fire Occurrences in El Salvador
Previous Article in Journal
Multi-Scale Observations of Atmosphere Environment and Aerosol Properties over North China during APEC Meeting Periods
Article Menu

Export Article

Open AccessArticle
Atmosphere 2016, 7(1), 7; doi:10.3390/atmos7010007

The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany

1
Environmental Meteorology, Albert-Ludwigs-University of Freiburg, Werthmannstrasse 10, Freiburg D-79085, Germany
2
Department of Forest Growth, Forest Research Institute Baden-Wuerttemberg, Wonnhaldestrasse 4, Freiburg D-79100, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Robinson I. Negron-Juarez and Robert W. Talbot
Received: 5 November 2015 / Revised: 14 December 2015 / Accepted: 25 December 2015 / Published: 4 January 2016
(This article belongs to the Special Issue Biometeorology)
View Full-Text   |   Download PDF [15889 KB, uploaded 4 January 2016]   |  

Abstract

Routinely collected booking records of salvaged timber from the period 1979–2008 were used to empirically model the (1) storm damage probability; (2) proportions of storm-damaged timber and (3) endemic storm damage risk in the forest area of the German federal state of Baden-Wuerttemberg by applying random forests. Results from cross-validated predictor importance evaluation demonstrate that the relative impact of modeled gust speed fields on the predictive accuracy of the random forests models was greatest compared to the impact of forest and soil features. Forest areas prone to storm damage occurring within a period of five years were mainly located in mountainous upland regions where maximum gust speed exceeds 31 m/s in a five-year return period and conifers dominate the tree species composition. While mean storm damage probability continuously increased with increasing statistical gust speed proportions of storm-damaged timber peaked at a statistical maximum gust speed value of 29 m/s occurring in a five-year return period. Combining the statistical gust speed field with daily gust speed fields of two exceptional winter storms improved model accuracy and considerably increased the explained variance. Endemic storm damage risk was calculated from endemic storm damage probability and proportions of endemically storm-damaged timber. In combination with knowledge of local experts the storm damage risk modeled in a 50 m × 50 m resolution raster dataset can easily be used to identify areas prone to storm damage and to adapt silvicultural management regimes to make forests more windfirm. View Full-Text
Keywords: forest storm damage; high resolution gust speed field; statistical modeling; random forests; storms wiebke and lothar forest storm damage; high resolution gust speed field; statistical modeling; random forests; storms wiebke and lothar
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jung, C.; Schindler, D.; Albrecht, A.T.; Buchholz, A. The Role of Highly-Resolved Gust Speed in Simulations of Storm Damage in Forests at the Landscape Scale: A Case Study from Southwest Germany. Atmosphere 2016, 7, 7.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top