Cargando…

Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn

Increased understanding of the influence of habitat (e.g., composition, patch size) and intrinsic (e.g., age, birth mass) factors on survival of neonatal pronghorn (Antilocapra americana) is a prerequisite to successful management programs, particularly as they relate to population dynamics and the...

Descripción completa

Detalles Bibliográficos
Autores principales: Jacques, Christopher N., Jenks, Jonathan A., Grovenburg, Troy W., Klaver, Robert W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667974/
https://www.ncbi.nlm.nih.gov/pubmed/26630484
http://dx.doi.org/10.1371/journal.pone.0144026
_version_ 1782403909204049920
author Jacques, Christopher N.
Jenks, Jonathan A.
Grovenburg, Troy W.
Klaver, Robert W.
author_facet Jacques, Christopher N.
Jenks, Jonathan A.
Grovenburg, Troy W.
Klaver, Robert W.
author_sort Jacques, Christopher N.
collection PubMed
description Increased understanding of the influence of habitat (e.g., composition, patch size) and intrinsic (e.g., age, birth mass) factors on survival of neonatal pronghorn (Antilocapra americana) is a prerequisite to successful management programs, particularly as they relate to population dynamics and the role of population models in adaptive species management. Nevertheless, few studies have presented empirical data quantifying the influence of habitat variables on survival of neonatal pronghorn. During 2002–2005, we captured and radiocollared 116 neonates across two sites in western South Dakota. We documented 31 deaths during our study, of which coyote (Canis latrans) predation (n = 15) was the leading cause of mortality. We used known fate analysis in Program MARK to investigate the influence of intrinsic and habitat variables on neonatal survival. We generated a priori models that we grouped into habitat and intrinsic effects. The highest-ranking model indicated that neonate mortality was best explained by site, percent grassland, and open water habitat; 90-day survival (0.80; 90% CI = 0.71–0.88) declined 23% when grassland and water increased from 80.1 to 92.3% and 0.36 to 0.40%, respectively, across 50% natal home ranges. Further, our results indicated that grassland patch size and shrub density were important predictors of neonate survival; neonate survival declined 17% when shrub density declined from 5.0 to 2.5 patches per 100 ha. Excluding the site covariates, intrinsic factors (i.e., sex, age, birth mass, year, parturition date) were not important predictors of survival of neonatal pronghorns. Further, neonatal survival may depend on available land cover and interspersion of habitats. We have demonstrated that maintaining minimum and maximum thresholds for habitat factors (e.g., percentages of grassland and open water patches, density of shrub patches) throughout natal home ranges will in turn, ensure relatively high (>0.50) neonatal survival rates, especially as they relate to coyote predation. Thus, landscape level variables (particularly percentages of open water, grassland habitats, and shrub density) should be incorporated into the development or implementation of pronghorn management plans across sagebrush steppe communities of the western Dakotas, and potentially elsewhere within the geographic range of pronghorn.
format Online
Article
Text
id pubmed-4667974
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-46679742015-12-10 Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn Jacques, Christopher N. Jenks, Jonathan A. Grovenburg, Troy W. Klaver, Robert W. PLoS One Research Article Increased understanding of the influence of habitat (e.g., composition, patch size) and intrinsic (e.g., age, birth mass) factors on survival of neonatal pronghorn (Antilocapra americana) is a prerequisite to successful management programs, particularly as they relate to population dynamics and the role of population models in adaptive species management. Nevertheless, few studies have presented empirical data quantifying the influence of habitat variables on survival of neonatal pronghorn. During 2002–2005, we captured and radiocollared 116 neonates across two sites in western South Dakota. We documented 31 deaths during our study, of which coyote (Canis latrans) predation (n = 15) was the leading cause of mortality. We used known fate analysis in Program MARK to investigate the influence of intrinsic and habitat variables on neonatal survival. We generated a priori models that we grouped into habitat and intrinsic effects. The highest-ranking model indicated that neonate mortality was best explained by site, percent grassland, and open water habitat; 90-day survival (0.80; 90% CI = 0.71–0.88) declined 23% when grassland and water increased from 80.1 to 92.3% and 0.36 to 0.40%, respectively, across 50% natal home ranges. Further, our results indicated that grassland patch size and shrub density were important predictors of neonate survival; neonate survival declined 17% when shrub density declined from 5.0 to 2.5 patches per 100 ha. Excluding the site covariates, intrinsic factors (i.e., sex, age, birth mass, year, parturition date) were not important predictors of survival of neonatal pronghorns. Further, neonatal survival may depend on available land cover and interspersion of habitats. We have demonstrated that maintaining minimum and maximum thresholds for habitat factors (e.g., percentages of grassland and open water patches, density of shrub patches) throughout natal home ranges will in turn, ensure relatively high (>0.50) neonatal survival rates, especially as they relate to coyote predation. Thus, landscape level variables (particularly percentages of open water, grassland habitats, and shrub density) should be incorporated into the development or implementation of pronghorn management plans across sagebrush steppe communities of the western Dakotas, and potentially elsewhere within the geographic range of pronghorn. Public Library of Science 2015-12-02 /pmc/articles/PMC4667974/ /pubmed/26630484 http://dx.doi.org/10.1371/journal.pone.0144026 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Jacques, Christopher N.
Jenks, Jonathan A.
Grovenburg, Troy W.
Klaver, Robert W.
Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title_full Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title_fullStr Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title_full_unstemmed Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title_short Influence of Habitat and Intrinsic Characteristics on Survival of Neonatal Pronghorn
title_sort influence of habitat and intrinsic characteristics on survival of neonatal pronghorn
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667974/
https://www.ncbi.nlm.nih.gov/pubmed/26630484
http://dx.doi.org/10.1371/journal.pone.0144026
work_keys_str_mv AT jacqueschristophern influenceofhabitatandintrinsiccharacteristicsonsurvivalofneonatalpronghorn
AT jenksjonathana influenceofhabitatandintrinsiccharacteristicsonsurvivalofneonatalpronghorn
AT grovenburgtroyw influenceofhabitatandintrinsiccharacteristicsonsurvivalofneonatalpronghorn
AT klaverrobertw influenceofhabitatandintrinsiccharacteristicsonsurvivalofneonatalpronghorn