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篇目详细内容 |
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【篇名】 |
Ordination of self-organizing feature map neural networks and its application to the study of plant communities |
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【刊名】 |
Frontiers of Forestry in China(Ceased publication after completion of Volume 4 (2009)) |
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【刊名缩写】 |
Front. Forest. China |
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【ISSN】 |
1673-3517 |
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【EISSN】 |
1673-3630 |
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【DOI】 |
10.1007/s11461-009-0041-3 |
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【出版社】 |
Higher Education Press and Springer-Verlag |
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【出版年】 |
2009 |
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【卷期】 |
4
卷3期 |
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【页码】 |
291-296
页,共
6
页 |
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【作者】 |
Jintun ZHANG;
Dongping MENG;
Yuexiang XI;
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【关键词】 |
self-organizing feature map; vegetation; quantitative methodology; gradient analysis; ordination; Taihang mountains |
【摘要】 |
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A self-organizing feature map (SOFM) neural network is a powerful tool in analyzing and solving complex, non-linear problems. According to its features, a SOFM is entirely compatible with ordination studies of plant communities. In our present work, mathematical principles, and ordination techniques and procedures are introduced. A SOFM ordination was applied to the study of plant communities in the middle of the Taihang mountains. The ordination was carried out by using the NNTool box in MATLAB. The results of 68 quadrats of plant communities were distributed in SOFM space. The ordination axes showed the ecological gradients clearly and provided the relationships between communities with ecological meaning. The results are consistent with the reality of vegetation in the study area. This suggests that SOFM ordination is an effective technique in plant ecology. During ordination procedures, it is easy to carry out clustering of communities and so it is beneficial for combining classification and ordination in vegetation studies. |
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