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AN ALGORITHM FOR TEMPERATURE-DEPENDENT GROWTH RATE SIMULATION12

Published online by Cambridge University Press:  31 May 2012

R. E. Stinner ,
A. P. Gutierrez  and
G. D. Butler Jr.
R. E. Stinner
Affiliation:
Department of Entomology, North Carolina State University, Raleigh
A. P. Gutierrez
Affiliation:
Division of Biological Control, University of California, Berkeley
G. D. Butler Jr.
Affiliation:
Western Cotton Research Laboratory, U.S. Department of Agriculture, Phoenix, Arizona
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Abstract

With the current advances in insect population modelling, the need for more accurate simulation of temperature-dependent growth rates has become vital. The day-degree concept, with its linear temperature–rate relationship, has not been adequate for simulation of field populations under highly variable temperature conditions. Similarly, several of the non-linear relationships proposed in the past (Janisch’s catenary, parabola) have also been inadequate. All of these relationships produce large errors at temperature extremes.

This paper presents a comparison of various functions which have been used for developmental time estimation and an algorithm for a sigmoid function which can be used in simulations having either a calendar or a physiological time base. Validation of the algorithm is presented for three insect species.

Type
Articles
Information
The Canadian Entomologist , Volume 106 , Issue 5 , May 1974 , pp. 519 - 524
Copyright
Copyright © Entomological Society of Canada 1974

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