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Title Transcription
ショクブツ グンラク モデル ニ オケル シュ セイブン ブンセキ テキヨウ ノ モンダイテン ニツイテ
Title Alternative (English)
Problems on the adaptability of the principal component analysis in ordination of plant community models
File
language
jpn
Author
Miyata, Itsuo
Iehara, Toshiro
Sugimura, Yoshinori
Description
The availability of the principal component analysis was tested using two types of artificial community models: one is based on a simllarity matrix and the other is on a matrix of the number of individuals Models were laid out to make species composition in quadrats change along one or two environmental gradients. In the smilarity model,the gradients were represented by the first two principal components,while those of the individualmodel were done by the second and fourth ones. A great 'foiding-in' effect occurred obviously in the two models when the gradient was excessive or when quadrats with peculiar species composition were added. The smilarity model has a merit to ordinate quadrats properly irrespective of the degree of the environmental gradient and a defect to be strongly influenced by quadrats with peculiar composition. On the other hand,the individual model has a merit to discriminate peculiar quadrats easily and a defect that the rang of the gradient to ordilate quadrats exactly is rather limited. The principal component analysis may be available in extracting the environmental gradient,if the quadrat data are so arranged that a great 'folding-in' effect does not take place.
Journal Title
Memoirs of the Faculty of Science, Shimane University
Volume
17
Start Page
47
End Page
60
ISSN
03879925
Published Date
1983-12-25
NCID
AN00108106
Publisher
島根大学理学部
Publisher Aalternative
The Faculty of Science, Shimane University
NII Type
Departmental Bulletin Paper
OAI-PMH Set
Faculty of Science and Engineering
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