Body length and mass growth of the brown bear (Ursus arctos) in northern Canada: model selection based on information theory and ontogeny of sexual size dimorphism

Author:

Bartareau T.M.1,Cluff H.D.2,Larter N.C.3

Affiliation:

1. 423 Ibis Way, Naples, FL 34110, USA.

2. Department of Environment and Natural Resources, Government of the Northwest Territories, P.O. Box 2668, Yellowknife, NT XIA 2P9, Canada.

3. Department of Environment and Natural Resources, Government of the Northwest Territories, P.O. Box 240, Fort Simpson, NT X0E 0N0, Canada.

Abstract

We compared four nonlinear growth functions in modeling body length and mass size-at-age data for the brown bear ( Ursus arctos L., 1758) in northern Canada of wide-ranging body sizes and ages. Then, we analyzed the sex differences in patterns of growth and ontogeny of sexual dimorphism in this species revealed by the best model from these alternatives. The von Bertalanffy function proved to be the most parsimonious model because it was easy to fit, with higher fitting degrees, lower root mean squared standard deviation of data points about fitted growth curve, larger Akaike weight, and fewer parameters derived directly from metabolic laws that accurately estimated the observed body length and mass growth profiles. Our growth models indicated an association between sexual growth divergence and the onset of reproduction in females, together with more rapid and prolonged male growth. These findings suggest that sexual size dimorphism develops in part by constraints on female growth from high energetic costs of reproduction. In contrast, males do not experience a comparable energetic trade-off after reaching sexual maturity and apparently allocate available energetic resources to growing faster and longer to produce larger body size, which benefits more competitive males in terms of increased reproductive success.

Publisher

Canadian Science Publishing

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Reference35 articles.

1. Likelihood of a model and information criteria

2. Analytical Software. 2008. Statistix. Version 9.0 [computer program]. Analytical Software, Tallahassee, Fla.

3. Black, S., and Fehr, A. 2002. Natural history of the western Arctic. Western Arctic Handbook Committee, Inuvik, N.W.T.

4. Burnham, K.P., and Anderson, D.R. 2002. Model selection and multimodel inference: a practical information–theoretic approach. Springer-Verlag, New York.

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3