It is the cache of ${baseHref}. It is a snapshot of the page. The current page could have changed in the meantime.
Tip: To quickly find your search term on this page, press Ctrl+F or ⌘-F (Mac) and use the find bar.

A demographic model to predict future growth of the Addo elephant population | Woodd | Koedoe - African Protected Area Conservation and Science
  Search this journal:     Advanced search
Original Research

A demographic model to predict future growth of the Addo elephant population

A.M. Woodd

Koedoe - African Protected Area Conservation and Science; Vol 42, No 1 (1999), 97-100. doi: 10.4102/koedoe.v42i1.226

Submitted: 31 July 1999
Published:  31 July 1999

Abstract

An age-structured demographic model of the growth of the Addo elephant population was developed using parameters calculated from long-term data on the population. The model was used to provide estimates of future population growth. Expansion of the Addo Elephant National Park is currently underway, and the proposed target population size for elephant within the enlarged park is 2700. The model predicts that this population size will be reached during the year 2043, so that the Addo elephant population can continue to increase for a further 44 years before its target size within the enlarged park is attained.

Full Text:  |  PDF (1MB)

Author affiliations

A.M. Woodd, University of Port Elizabeth, South Africa

Metrics

Total abstract views: 1378
Total article views: 1308  

Cited-By

1. Growth and age determination of African savanna elephants
A. M. Shrader, S. M. Ferreira, M. E. McElveen, P. C. Lee, C. J. Moss, R.J. van Aarde
Journal of Zoology  first page: 060606025751022  year: 2006  
doi: 10.1111/j.1469-7998.2006.00108.x

Comments on this article

Before posting your comment, please read our policy.
Post a Comment (Login required)


ISSN: 0075-6458 (print) | ISSN: 2071-0791 (online) Follow us on:

All articles published in this journal are licensed under the Creative Commons Attribution license.

©2014 AOSIS (Pty) Ltd. All rights reserved. No unauthorised duplication allowed.

AOSIS OpenJournals | Perfecting Scholarship Online
Postnet Suite #110, Private Bag X19, Durbanville, South Africa, 7551
Tel: 086 1000 381 
Tel: +27 21 975 2602 
Fax: 086 5004 974

Please read the privacy statement.