The Impacting Analysis on Multiple Species Competition

Based on the predicted climatic data from 2041 to 2050 and the climatic data and the distribution data of the three tree species that Larix gmelinii, Betula platyphylla Suk and Picea koraiensis Nakai from 1981 to 1990 in Northeast China, 12 climatic factor indicators are extracted by using the theor...

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Published inRough Sets, Fuzzy Sets, Data Mining, and Granular Computing pp. 269 - 276
Main Authors Yan, Han-Bing, Tang, Xu-Qing
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
SeriesLecture Notes in Computer Science
Subjects
climatic factors
clustering fusion
distribution prediction
Granular computing
hierarchical clustering
tree species
Online AccessGet full text
ISBN3642412173
9783642412172
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-41218-9_29

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Abstract Based on the predicted climatic data from 2041 to 2050 and the climatic data and the distribution data of the three tree species that Larix gmelinii, Betula platyphylla Suk and Picea koraiensis Nakai from 1981 to 1990 in Northeast China, 12 climatic factor indicators are extracted by using the theory and methods of hierarchical clustering and fusion technology related fuzzy proximity relations. The prediction mathematical model of tree species distribution is built by using the statistical theory and methods, its algorithm is studied, and the predicted distribution figures produced by single tree species and the ones produced by multiple tree species competition are obtained. By analyzing the prediction, the distributions of three tree species drift to the north. Furthermore, the climate change and competition among species are the main impact factors for predicting distributions of three tree species.
AbstractList Based on the predicted climatic data from 2041 to 2050 and the climatic data and the distribution data of the three tree species that Larix gmelinii, Betula platyphylla Suk and Picea koraiensis Nakai from 1981 to 1990 in Northeast China, 12 climatic factor indicators are extracted by using the theory and methods of hierarchical clustering and fusion technology related fuzzy proximity relations. The prediction mathematical model of tree species distribution is built by using the statistical theory and methods, its algorithm is studied, and the predicted distribution figures produced by single tree species and the ones produced by multiple tree species competition are obtained. By analyzing the prediction, the distributions of three tree species drift to the north. Furthermore, the climate change and competition among species are the main impact factors for predicting distributions of three tree species.
Author Tang, Xu-Qing
Yan, Han-Bing
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Wang, Guoyin
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Snippet Based on the predicted climatic data from 2041 to 2050 and the climatic data and the distribution data of the three tree species that Larix gmelinii, Betula...
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SourceType Publisher
StartPage 269
SubjectTerms climatic factors
clustering fusion
distribution prediction
Granular computing
hierarchical clustering
tree species
Title The Impacting Analysis on Multiple Species Competition
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