Forest community analysis in the Songshan national nature reserve of China using self-organizing map

Forest community analysis in the Songshan national nature reserve of China using self-organizing map The forest communities in the Songshan National Nature Reserve (SNNR) of China were analyzed by using self-organizing map (SOM). Seven types of vegetation were defined by SOM, and represented the panorama of forest communities in the SNNR. The classification of samples and species contribution was consistent. SOM classification and the dominant species visualization in the forest community data in SNNR reflected the impact of the environmental factors, such as elevation, and slope. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

Forest community analysis in the Songshan national nature reserve of China using self-organizing map

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Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2011 by Pleiades Publishing, Ltd.
Subject
Life Sciences; Ecology; Environment, general
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1134/S1067413611030179
Publisher site
See Article on Publisher Site

Abstract

The forest communities in the Songshan National Nature Reserve (SNNR) of China were analyzed by using self-organizing map (SOM). Seven types of vegetation were defined by SOM, and represented the panorama of forest communities in the SNNR. The classification of samples and species contribution was consistent. SOM classification and the dominant species visualization in the forest community data in SNNR reflected the impact of the environmental factors, such as elevation, and slope.

Journal

Russian Journal of EcologySpringer Journals

Published: May 24, 2011

References

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