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Application results on a forest stand in western Montana show that the optimal tree selection provided by the computerized approach can reduce crown fire potential more efficiently than current thinning practices represented by a manual selection of tree removal.
Careful selection of tree species, control of already existing plant and microbial flora, analyzes of soil properties, nutrients, prediction of further development of herbaceous, and microbial communities, along with possibility of amendment and herbicide applications is essential for successful mine site restoration using trees.
General conditions like climate, selection of tree species, or the forest area with legal restrictions on exploitation cannot be parameterised.
Among those interventions are the selection of tree species or provenances, the regulation of rotation periods, or the implementation of management regimes that reduce the impact of biotic and abiotic hazards.
The selection of tree building algorithms, for example UPGMA and Neighbor-Joining (NJ) is also important in the context of distance-based approaches.
The selection of tree species reflects their relative frequency in the tree plantations of the Great Hungarian Plain (Standovár 2012).
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Tree selection criteria have included selection of trees across the DBH distribution (Maguire et al. 1994); selection of dominant and co-dominant trees (Hein et al. 2008a; Newton et al. 2012); and avoidance of trees with visible damage (Roeh and Maguire 1997; Hein et al. 2008a; Newton et al. 2012).
A different selection of trees and plants would be used on the slopes to build up soil and forestall erosion.
This, coupled with the careful selection of trees that leaf out at various times and provide a range of shade conditions, can optimize production.
It provides a fascinating window on to the domestic anxieties of the emerging Victorian middle-classes, with chapters covering everything from the selection of trees and shrubs to the correct style of entrance gates and chimney pots, even the proper arrangement of collections of stuffed birds.
Using random extractions of trees, iterative mapping, and a stratified sampling strategy based on an arbitrary selection of trees, we investigate subsets of the full tree-ring data set to define optimal sample size and sampling design for the development of frequency maps of rockfall activity.
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