Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

EVALUATING THE EFFECTS OF HABITAT QUALITY, CONNECTIVITY, AND CATASTROPHES ON A THREATENED SPECIES

EVALUATING THE EFFECTS OF HABITAT QUALITY, CONNECTIVITY, AND CATASTROPHES ON A THREATENED SPECIES Conserving threatened and endangered species requires an understanding of the effects that variability in habitat, environment, demographics, and genetics have on the long-term viability of the species. The Florida Scrub Jay ( Aphelocoma coerulescens ), which has been the focus of intensive, long-term study and recent conservation efforts, makes an excellent candidate to illustrate how population modeling can be used to examine these effects on a threatened species. A stage-based population model, including density dependence and stochasticity, was used to explore the effects of habitat quality, connectivity, and catastrophes on long-term survival for four populations of Scrub Jays in Brevard County, Florida, United States. Restoring high-quality habitat was critical for long-term viability of these Scrub Jay populations. The quality of the scrub habitat, based on field surveys, is too overgrown to support the populations for the next 60 yr, and extinction is likely in <30 yr. These populations are unlikely to survive an epidemic or catastrophe without dispersal among the habitat patches and populations. The present research effectively illustrates how population modeling can be used to explore links between demographic processes and the environment, and to evaluate management strategies for habitat specialist species. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Applications Ecological Society of America

EVALUATING THE EFFECTS OF HABITAT QUALITY, CONNECTIVITY, AND CATASTROPHES ON A THREATENED SPECIES

Ecological Applications , Volume 8 (3) – Aug 1, 1998

Loading next page...
 
/lp/ecological-society-of-america/evaluating-the-effects-of-habitat-quality-connectivity-and-6wAHTqo6IV

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Ecological Society of America
Copyright
Copyright © 1998 by the Ecological Society of America
Subject
Articles
ISSN
1051-0761
DOI
10.1890/1051-0761%281998%29008%5B0854:ETEOHQ%5D2.0.CO%3B2
Publisher site
See Article on Publisher Site

Abstract

Conserving threatened and endangered species requires an understanding of the effects that variability in habitat, environment, demographics, and genetics have on the long-term viability of the species. The Florida Scrub Jay ( Aphelocoma coerulescens ), which has been the focus of intensive, long-term study and recent conservation efforts, makes an excellent candidate to illustrate how population modeling can be used to examine these effects on a threatened species. A stage-based population model, including density dependence and stochasticity, was used to explore the effects of habitat quality, connectivity, and catastrophes on long-term survival for four populations of Scrub Jays in Brevard County, Florida, United States. Restoring high-quality habitat was critical for long-term viability of these Scrub Jay populations. The quality of the scrub habitat, based on field surveys, is too overgrown to support the populations for the next 60 yr, and extinction is likely in <30 yr. These populations are unlikely to survive an epidemic or catastrophe without dispersal among the habitat patches and populations. The present research effectively illustrates how population modeling can be used to explore links between demographic processes and the environment, and to evaluate management strategies for habitat specialist species.

Journal

Ecological ApplicationsEcological Society of America

Published: Aug 1, 1998

Keywords: Aphelocoma coerulescens ; connectivity ; conservation ; epidemics ; Florida Scrub Jay ; habitat quality ; habitat specialist ; population modeling ; population viability analysis ; quasiextinction ; spatially explicit metapopulation model

There are no references for this article.