How does forest structure affect root reinforcement and susceptibility to shallow landslides?

被引:67
作者
Moos, Christine [1 ,2 ]
Bebi, Peter [2 ]
Graf, Frank [2 ]
Mattli, Josias [1 ,2 ]
Rickli, Christian [3 ]
Schwarz, Massimiliano [1 ]
机构
[1] Berne Univ Appl Sci, Sch Agr Forest & Food Sci HAFL, Langgasse 85, CH-3052 Zollikofen, Switzerland
[2] WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland
[3] Swiss Fed Inst Forest, Snow & Landscape Res WSL, Birmensdorf, Switzerland
基金
瑞士国家科学基金会;
关键词
shallow landslides; forest structure; root reinforcement; statistical prediction models; RBMw; SLOPE STABILITY; STEEP; VARIABILITY; MODELS; TREES; CLASSIFICATION; PROTECTION; MANAGEMENT; BIVARIATE;
D O I
10.1002/esp.3887
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Forests can decrease the risk of shallow landslides by mechanically reinforcing the soil and positively influencing its water balance. However, little is known about the effect of different forest structures on slope stability. In the study area in St Antonien, Switzerland, we applied statistical prediction models and a physically-based model for spatial distribution of root reinforcement in order to quantify the influence of forest structure on slope stability. We designed a generalized linear regression model and a random forest model including variables describing forest structure along with terrain parameters for a set of landslide and control points facing similar slope angle and tree coverage. The root distribution measured at regular distances from seven trees in the same study area was used to calibrate a root distribution model. The root reinforcement was calculated as a function of tree dimension and distance from tree with the root bundle model (RBMw). Based on the modelled values of root reinforcement, we introduced a proxy-variable for root reinforcement of the nearest tree using a gamma distribution. The results of the statistical analysis show that variables related to forest structure significantly influence landslide susceptibility along with terrain parameters. Significant effects were found for gap length, the distance to the nearest trees and the proxy-variable for root reinforcement of the nearest tree. Gaps longer than 20 m critically increased the susceptibility to landslides. Root reinforcement decreased with increasing distance from trees and is smaller in landslide plots compared to control plots. Furthermore, the influence of forest structure strongly depends on geomorphological and hydrological conditions. Our results enhance the quantitative knowledge about the influence of forest structure on root reinforcement and landslide susceptibility and support existing management recommendations for protection against gravitational natural hazards. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:951 / 960
页数:10
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