%0 Journal Article
%A Shipley, B.
%T Analysing the allometry of multiple interacting traits
%B Perspectives in Plant Ecology, Evolution and Systematics
%D 2004
%V 6
%P 235-241
%N 4
%Z 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
References: Geiger, D., Pearl, J., Logical and algorithmic properties
of conditional independence and graphical models (1993) The Annals
of Statistics, 21, pp. 2001-2021; Geiger, D., Verma, T., Pearl,
J., Identifying independence in Bayesian Networks (1990) Networks,
20, pp. 507-534; Geiger, D., Paz, A., Pearl, J., Axioms and algorithms
for inferences involving probabilistic independence (1991) Information
and Computation, 91, pp. 128-141; Gould, S.J., Allometry and size
in ontogeny and phylogeny (1966) Biological Reviews of the Cambridge
Philosophical Society, 41, pp. 587-640; Grime, J.P., (2001) Plant
Strategies, Vegetation Processes, and Ecosystem Properties, , John
Wiley, New York; Huxley, J.S., (1972) Problems of Relative Growth,
, Dover, New York; Jordano, P., Frugivore-mediated selection on
fruit and seed size: Birds and St. Lucie's cherry (1995) Ecology,
76, pp. 2627-2639; Muller, I., Schmid, B., Weiner, J., The effect
of nutrient availability on biomass allocation patterns in 27 species
of herbaceous plants (2000) Perspectives in Plant Ecology, Evolution
and Systematics, 3, pp. 115-127; Niklas, K.J., (1994) Plant Allometry.
The Scaling of Form and Process, , University of Chicago Press,
Chicago; Pearl, J., (1988) Probabilistic Reasoning in Intelligent
Systems: Networks of Plausible Inference, , Morgan Kaufmann, San
Mateo; Pearl, J., (2000) Causality, , Cambridge University Press,
Cambridge; Peters, R.H., (1983) The Ecological Implications of Body
Size, , Cambridge University Press, Cambridge; Royall, R., (1997)
Statistical Evidence. A Likelihood Paradigm, , Chapman \& Hall,
London; Shipley, B., Exploratory path analysis with applications
in ecology and evolution (1997) The American Naturalist, 149, pp.
1113-1138; Shipley, B., Exploring hypothesis space: Examples from
organismal biology (1999) Computation, Causation and Discovery,
pp. 441-452. , eds. C Glymour \& GF Cooper, MIT/AAAI Press, Menlo
Park; Shipley, B., (2000) Cause and Correlation in Biology: A User's
Guide to Path Analysis, Structural Equations, and Causal Inference,
, Oxford University Press, Oxford; Shipley, B., A new inferential
test for path models based on directed acyclic graphs (2000) Structural
Equation Modeling, 7, pp. 206-218; Shipley, B., Testing recursive
path models with correlated errors using d-separation (2003) Structural
Equation Modeling, 10, pp. 214-221.; timestamp=(2007.12.05)
%X 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.
%K 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
%# brugerolles
%F Shipley2004
%3 BibTeX type = ARTICLE