DOI: 10.1016/j.foreco.2016.03.050
Scopus记录号: 2-s2.0-84962345526
论文题名: Evaluation of the effects of three European forest types on slope stability by field and probabilistic analyses and their implications for forest management
作者: Chiaradia E.A. ; Vergani C. ; Bischetti G.B.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 370 起始页码: 114
结束页码: 129
语种: 英语
英文关键词: Castanea sativa Mill
; Fagus sylvatica L.
; Limit equilibrium theory
; Monte Carlo simulation
; Picea abies [L.] H. Karst.
; Root reinforcement
Scopus关键词: Density (specific gravity)
; Dynamics
; Forestry
; Fruits
; Intelligent systems
; Mechanical properties
; Monte Carlo methods
; Plants (botany)
; Probability distributions
; Reinforcement
; Safety factor
; Slope protection
; Stability
; System stability
; Castanea sativa
; Fagus sylvatica L
; Limit equilibrium theory
; Picea abies
; Root reinforcement
; Slope stability
; anthropogenic effect
; coniferous tree
; deciduous tree
; forest ecosystem
; forest management
; hillslope
; landslide
; management practice
; Monte Carlo analysis
; root system
; slope stability
; soil erosion
; Europe
; Castanea sativa
; Fagus sylvatica
; Picea
; Picea abies
英文摘要: It is well known that forests play a crucial role in preventing soil erosion and landslides; however, forests are also subjected to dynamic evolution driven by natural processes and anthropogenic factors. This dynamic evolution affects spruce and chestnut forests in some European regions (e.g., Italian Alps, central and northern Europe), where these species have been forced by management practice to establish over long periods where other species, such as European beech, would be expected to occur as a result of natural processes.Using a large dataset of field and laboratory measurements of root density and root mechanical properties, the performances of Norway spruce, Sweet chestnut and European beech are analyzed from a slope stability perspective by using a model based on the limit equilibrium principle within a probabilistic framework.The results showed differences and similarities between the root systems of the analyzed species, both in terms of root distribution and mechanical properties. However, the probabilistic distribution that better fits the root reinforcement values obtained by the experimental work is, in all cases, a lognormal function.The developed method can be used to estimate the factor of safety for several combinations of geotechnical and hydrological parameters and different root reinforcement probability distributions using Monte Carlo techniques. The obtained values have been evaluated in terms of probability to have a factor of safety of less than 1 for increasing values of slope steepness.Although each single hillslope should be studied individually to account for local stand conditions that strongly affect root system performance, European beech is generally more efficient than Sweet chestnut and Norway spruce in terms of enhancing slope stability.Based on our results, in all cases where the stability of slopes represents a concern and spruce and chestnut communities are perishing, the natural colonization by European beech should be evaluated positively and possibly promoted by forest managers. Moreover, the developed method provides a general framework that could be applied to other species and conditions to define the consequences of different forest management scenarios in terms of slope stability. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64943
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, Milano, Italy; Bern University of Applied Sciences, Langgasse 85, Zollikofen, Switzerland; Centre of Applied Studies for the Sustainable Management, Protection of Mountain Areas (Ge.S.Di.Mont), Italy
Recommended Citation:
Chiaradia E.A.,Vergani C.,Bischetti G.B.. Evaluation of the effects of three European forest types on slope stability by field and probabilistic analyses and their implications for forest management[J]. Forest Ecology and Management,2016-01-01,370