The book presents further details of a new paradigm intended for statistical studies of stand-level vegetation energetics. The approach is holistic and the techniques are quantum ecological. The case study's objective is stand-level vegetation mapping by energy criteria. Since the vegetation process is conceived as an energy structural phenomenon, the obvious choice for mapping is an energy structural component. The book's classification model assumes a three-parted structure with components issuing from historic phylogeny, ...
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The book presents further details of a new paradigm intended for statistical studies of stand-level vegetation energetics. The approach is holistic and the techniques are quantum ecological. The case study's objective is stand-level vegetation mapping by energy criteria. Since the vegetation process is conceived as an energy structural phenomenon, the obvious choice for mapping is an energy structural component. The book's classification model assumes a three-parted structure with components issuing from historic phylogeny, current environmental mediation, and the ubiquitous random events. The modus operandi is simple: isolate the structural components analytically, construct the maps for display on the sampling grid, then probe the maps and other numeric results for generalizable regularities. Regarding the data base, most types of vegetation survey data are admissible.
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