Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
A general model of population growth in the hyrax procavia capensis
Ecological Modelling, Volume 34, No. 1-2, Year 1986
Notification
URL copied to clipboard!
Description
A study of an expanding hyrax population when the parameters of such a sub-population provided demographic parameters which were used to construct a model of population growth. The model simulates the observed growth of the population and its stabilization once an increasing death-rate factor, dependent on population size, was incorporated. The hyrax is dependent on shelter for protection from predation, and a biological evaluation of the model suggests that shelter is the limiting factor in population growth and control of predation effects. The study population is not limited by food, but comparisons with populations from semi-arid environments, where food shortage necessitates movements away from shelter thereby increasing predator susceptibility, suggest that the model has general application to population growth in this species. © 1986.
Authors & Co-Authors
Fairall, Neil
South Africa, Pretoria
University of Pretoria
Vermeulen, P. J.
South Africa, Pretoria
University of Pretoria
van der Merwe, Mac
South Africa, Pretoria
University of Pretoria
Statistics
Citations: 11
Authors: 3
Affiliations: 1
Identifiers
Doi:
10.1016/0304-3800(86)90082-7
Research Areas
Food Security
Study Design
Cross Sectional Study