@ARTICLE {Shipley2004,
AUTHOR = {Shipley, B.},
TITLE = {Analysing the allometry of multiple interacting traits},
JOURNAL = {Perspectives in Plant Ecology, Evolution and Systematics},
YEAR = {2004},
VOLUME = {6},
PAGES = {235-241},
NUMBER = {4},
NOTE = {14338319 (ISSN) Cited By (since 1996): 3 Export Date: 26 April 2007
Source: Scopus CODEN: PPEEF Language of Original Document: English
Correspondence Address: Shipley, B.; De?partement de Biologie; Universite?
de Sherbrooke Sherbrooke, Que. J1K 2R1, Canada; email: Bill.Shipley@USherbrooke.ca
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ABSTRACT = {Since form and function are tightly integrated in plants, and since
plant attributes often scale allometrically, it follows that plant
allometry is inherently multivariate. Unfortunately, traditional
statistical methods for studying allometric relationships are very
restrictive and do not allow one to model multivariate allometric
patterns that follow realistic biological hypotheses. In this paper
I describe a new statistical test ('d-sep test') that allows one
to test, and potentially falsify, alternative multivariate orderings
of cause-and-effect in the context of allometry.},
KEYWORDS = {Allometry Causal models Directed acyclic graphs Fruit production Graphical
models Plant size Prunus mahaleb Seed dispersal allometry methodology
multivariate analysis statistical analysis Prunus Prunus mahaleb},
OWNER = {brugerolles},
TIMESTAMP = {2007.12.05},
}