A method for predicting shallow landslide area in managed and unmanaged forests
نویسندگان
چکیده
منابع مشابه
Predicting Shallow Landslide Initiation
The growing availability of digital topographic data and the increased reliability of precipitation forecasts invite modelling efforts to predict the timing and location of shallow landslides in hilly and mountainous areas in order to reduce risk to an ever-expanding human population. Here, we exploit a rare data set to develop and test such a model. In a 1·7 km catchment a near-annual aerial p...
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Biodiversity differences between managed and unmanaged forests: meta-analysis of species richness in Europe.
Past and present pressures on forest resources have led to a drastic decrease in the surface area of unmanaged forests in Europe. Changes in forest structure, composition, and dynamics inevitably lead to changes in the biodiversity of forest-dwelling species. The possible biodiversity gains and losses due to forest management (i.e., anthropogenic pressures related to direct forest resource use)...
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UNLABELLED BACKGROUND Unmanaged or old-growth forests are of paramount importance for carbon sequestration and thus for the mitigation of climate change among further implications, e.g. biodiversity aspects. Still, the importance of those forests for climate change mitigation compared to managed forests is under controversial debate. We evaluate the adequacy of referring to CO2 flux measurem...
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ژورنال
عنوان ژورنال: International Journal of Erosion Control Engineering
سال: 2017
ISSN: 1882-6547
DOI: 10.13101/ijece.10.92