PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Precipitation and large herbivorous mammals, part I: Estimates from present-day communities
J.T. Eronen, Kai Puolamäki, L. Liu, K. Lintulaaksi, J. Damuth, C. Janis and M. Fortelius
Evolutionary Ecology Research Volume 12, Number 2, pp. 217-233, 2010.

Abstract

Question: How can mammalian community characteristics be used to estimate regional precipitation? Data: Global distribution data of large mammals and their ecomorphology; global climate data. Research methods: Non-linear regression-tree analysis and linear regression. Conclusions: The methods unravelled the complex relationships between the environment and the characteristics of mammalian communities. The regression trees described here provide a reasonably accurate estimate of precipitation values for today’s world. The strongest correlations are for annual precipitation versus diet (R2 = 0.665), precipitation versus tooth crown height (R2 = 0.658), and precipitation versus diet and tooth crown height combined (R2 = 0.742)

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7959
Deposited By:Kai Puolamäki
Deposited On:17 March 2011