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A stage-structured, stochastic population model for the giant kelp Macrocystis pyrifera

A stage-structured, stochastic population model for the giant kelp Macrocystis pyrifera 227 105 105 1 1 M. A. Burgman V. A. Gerard Department of Ecology and Evolution State University of New York 11794 Stony Brook New York USA Marine Sciences Research Center State University of New York 11794 Stony Brook New York USA Abstract We have developed a population model for the giant kelp Macrocystis pyrifera (L.) C. Agardh in southern California, USA. The model includes five life-history stages and takes into account environmental and demographic stochasticity, as well as density-dependent interactions. The density of each stage is predicted on a monthly basis for up to 20 yr, and extinction probability is determined for adult sporophytes. Survival probabilities and rates of reproduction and growth are based on stage-specific responses to environmental conditions (irradiance and temperature), including the occurrence of El Niño events. The model is validated by comparing simulation results to empirical data from natural kelp populations. Results of the model provide insight into patterns observed in natural populations and have applications in resource management. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Marine Biology Springer Journals

A stage-structured, stochastic population model for the giant kelp Macrocystis pyrifera

Marine Biology , Volume 105 (1) – Feb 1, 1990

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References (37)

Publisher
Springer Journals
Copyright
Copyright © 1990 by Springer-Verlag
Subject
Life Sciences; Biomedicine general; Oceanography; Ecology; Microbiology; Zoology
ISSN
0025-3162
eISSN
1432-1793
DOI
10.1007/BF01344266
Publisher site
See Article on Publisher Site

Abstract

227 105 105 1 1 M. A. Burgman V. A. Gerard Department of Ecology and Evolution State University of New York 11794 Stony Brook New York USA Marine Sciences Research Center State University of New York 11794 Stony Brook New York USA Abstract We have developed a population model for the giant kelp Macrocystis pyrifera (L.) C. Agardh in southern California, USA. The model includes five life-history stages and takes into account environmental and demographic stochasticity, as well as density-dependent interactions. The density of each stage is predicted on a monthly basis for up to 20 yr, and extinction probability is determined for adult sporophytes. Survival probabilities and rates of reproduction and growth are based on stage-specific responses to environmental conditions (irradiance and temperature), including the occurrence of El Niño events. The model is validated by comparing simulation results to empirical data from natural kelp populations. Results of the model provide insight into patterns observed in natural populations and have applications in resource management.

Journal

Marine BiologySpringer Journals

Published: Feb 1, 1990

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