Measuring Probabilistic Reaction Norms for Age and Size at Maturation

We present a new probabilistic concept of reaction norms for age and size at maturation that is applicable when observations are carried out at discreet time intervals. This approach can also be used to estimate reaction norms for age and size at metamorphosis or at other ontogenetic transitions. Su...

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Main Authors: Heino, M., Dieckmann, U., Godoe, O.R.
Format: Book
Language:English
Published: IR-02-017 2002
Subjects:
Online Access:http://pure.iiasa.ac.at/id/eprint/6768/
http://pure.iiasa.ac.at/id/eprint/6768/1/IR-02-017.pdf
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spelling ftiiasalaxendare:oai:pure.iiasa.ac.at:6768 2023-05-15T14:30:29+02:00 Measuring Probabilistic Reaction Norms for Age and Size at Maturation Heino, M. Dieckmann, U. Godoe, O.R. 2002-04 text http://pure.iiasa.ac.at/id/eprint/6768/ http://pure.iiasa.ac.at/id/eprint/6768/1/IR-02-017.pdf en eng IR-02-017 http://pure.iiasa.ac.at/id/eprint/6768/1/IR-02-017.pdf Heino, M. <http://pure.iiasa.ac.at/view/iiasa/122.html> orcid:0000-0003-2928-3940 , Dieckmann, U. <http://pure.iiasa.ac.at/view/iiasa/66.html> orcid:0000-0001-7089-0393 , & Godoe, O.R. <http://pure.iiasa.ac.at/view/iiasa/1287.html> (2002). Measuring Probabilistic Reaction Norms for Age and Size at Maturation. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-02-017 Monograph NonPeerReviewed 2002 ftiiasalaxendare 2022-04-15T12:31:17Z We present a new probabilistic concept of reaction norms for age and size at maturation that is applicable when observations are carried out at discreet time intervals. This approach can also be used to estimate reaction norms for age and size at metamorphosis or at other ontogenetic transitions. Such estimations are critical for understanding phenotypic plasticity and life-history changes in variable environments, for assessing genetic changes in the presence of phenotypic plasticity, and calibrating size- and age-structured population models. We show that previous approaches to this problem, based on regressing size against age at maturation, give results that are systematically biased when compared to the probabilistic reaction norms. The bias can be substantial and is likely to lead to qualitatively incorrect conclusions; it is by failing to account for the probabilistic nature of the maturation process. We explain why, instead, robust estimation of maturation reaction norms ought to be based on logistic regression, or on other statistical models that treat the probability of maturing as a dependent variable. We demonstrate the utility of our approach with two examples. First, the analysis of data generated for a known reaction norm highlights some crucial limitations of previous approaches. Second, application to the Northeast Arctic cod ("Gadus morhua") illustrates how our approach can be used to shed new light on existing real-world data. Book Arctic cod Arctic Gadus morhua Northeast Arctic cod IIASA DARE (Data Repository of the International Institute of Applied Systems Analysis) Arctic
institution Open Polar
collection IIASA DARE (Data Repository of the International Institute of Applied Systems Analysis)
op_collection_id ftiiasalaxendare
language English
description We present a new probabilistic concept of reaction norms for age and size at maturation that is applicable when observations are carried out at discreet time intervals. This approach can also be used to estimate reaction norms for age and size at metamorphosis or at other ontogenetic transitions. Such estimations are critical for understanding phenotypic plasticity and life-history changes in variable environments, for assessing genetic changes in the presence of phenotypic plasticity, and calibrating size- and age-structured population models. We show that previous approaches to this problem, based on regressing size against age at maturation, give results that are systematically biased when compared to the probabilistic reaction norms. The bias can be substantial and is likely to lead to qualitatively incorrect conclusions; it is by failing to account for the probabilistic nature of the maturation process. We explain why, instead, robust estimation of maturation reaction norms ought to be based on logistic regression, or on other statistical models that treat the probability of maturing as a dependent variable. We demonstrate the utility of our approach with two examples. First, the analysis of data generated for a known reaction norm highlights some crucial limitations of previous approaches. Second, application to the Northeast Arctic cod ("Gadus morhua") illustrates how our approach can be used to shed new light on existing real-world data.
format Book
author Heino, M.
Dieckmann, U.
Godoe, O.R.
spellingShingle Heino, M.
Dieckmann, U.
Godoe, O.R.
Measuring Probabilistic Reaction Norms for Age and Size at Maturation
author_facet Heino, M.
Dieckmann, U.
Godoe, O.R.
author_sort Heino, M.
title Measuring Probabilistic Reaction Norms for Age and Size at Maturation
title_short Measuring Probabilistic Reaction Norms for Age and Size at Maturation
title_full Measuring Probabilistic Reaction Norms for Age and Size at Maturation
title_fullStr Measuring Probabilistic Reaction Norms for Age and Size at Maturation
title_full_unstemmed Measuring Probabilistic Reaction Norms for Age and Size at Maturation
title_sort measuring probabilistic reaction norms for age and size at maturation
publisher IR-02-017
publishDate 2002
url http://pure.iiasa.ac.at/id/eprint/6768/
http://pure.iiasa.ac.at/id/eprint/6768/1/IR-02-017.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic cod
Arctic
Gadus morhua
Northeast Arctic cod
genre_facet Arctic cod
Arctic
Gadus morhua
Northeast Arctic cod
op_relation http://pure.iiasa.ac.at/id/eprint/6768/1/IR-02-017.pdf
Heino, M. <http://pure.iiasa.ac.at/view/iiasa/122.html> orcid:0000-0003-2928-3940 , Dieckmann, U. <http://pure.iiasa.ac.at/view/iiasa/66.html> orcid:0000-0001-7089-0393 , & Godoe, O.R. <http://pure.iiasa.ac.at/view/iiasa/1287.html> (2002). Measuring Probabilistic Reaction Norms for Age and Size at Maturation. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-02-017
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