2009a. Quantifying the effects of prey abundance on killer whale reproduction

1. Management decisions for threatened and endangered species require risks to be identified and prioritized, based on the degree to which they influence population dynamics. The potential for recovery of small populations at risk may be determined by multiple factors, including intrinsic population...

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Main Authors: Eric J. Ward, Elizabeth E. Holmes, Ken C. Balcomb
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5028
http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.220.5028 2023-05-15T17:03:24+02:00 2009a. Quantifying the effects of prey abundance on killer whale reproduction Eric J. Ward Elizabeth E. Holmes Ken C. Balcomb The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5028 http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5028 http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf text ftciteseerx 2016-01-07T18:17:20Z 1. Management decisions for threatened and endangered species require risks to be identified and prioritized, based on the degree to which they influence population dynamics. The potential for recovery of small populations at risk may be determined by multiple factors, including intrinsic population characteristics (inbreeding, sex ratios) and extrinsic variables (prey availability, disease, human disturbance). Using Bayesian statistical methods, the impact of each of these risk factors on demographic rates can be quantified and assigned probabilities to express uncertainty. 2. We assessed the impact of a wide range of factors on the fecundity of two threatened populations of killer whales Orcinus orca, specifically whether killer whale production is limited by availability of Chinook salmon Oncorhynchus tshawytscha. Additional variables included anthropogenic factors, climate variables, temporal effects, and population variables (population size, number of males, female age). 3. Our results indicate that killer whale fecundity is highly correlated with the abundance of Chinook salmon. For example, the probability of a female calving differed by 50 % between years of low salmon abundance and high salmon abundance. Weak evidence exists for linking fecundity to other variables, such as sea surface temperature. Text Killer Whale Orca Orcinus orca Killer whale Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description 1. Management decisions for threatened and endangered species require risks to be identified and prioritized, based on the degree to which they influence population dynamics. The potential for recovery of small populations at risk may be determined by multiple factors, including intrinsic population characteristics (inbreeding, sex ratios) and extrinsic variables (prey availability, disease, human disturbance). Using Bayesian statistical methods, the impact of each of these risk factors on demographic rates can be quantified and assigned probabilities to express uncertainty. 2. We assessed the impact of a wide range of factors on the fecundity of two threatened populations of killer whales Orcinus orca, specifically whether killer whale production is limited by availability of Chinook salmon Oncorhynchus tshawytscha. Additional variables included anthropogenic factors, climate variables, temporal effects, and population variables (population size, number of males, female age). 3. Our results indicate that killer whale fecundity is highly correlated with the abundance of Chinook salmon. For example, the probability of a female calving differed by 50 % between years of low salmon abundance and high salmon abundance. Weak evidence exists for linking fecundity to other variables, such as sea surface temperature.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Eric J. Ward
Elizabeth E. Holmes
Ken C. Balcomb
spellingShingle Eric J. Ward
Elizabeth E. Holmes
Ken C. Balcomb
2009a. Quantifying the effects of prey abundance on killer whale reproduction
author_facet Eric J. Ward
Elizabeth E. Holmes
Ken C. Balcomb
author_sort Eric J. Ward
title 2009a. Quantifying the effects of prey abundance on killer whale reproduction
title_short 2009a. Quantifying the effects of prey abundance on killer whale reproduction
title_full 2009a. Quantifying the effects of prey abundance on killer whale reproduction
title_fullStr 2009a. Quantifying the effects of prey abundance on killer whale reproduction
title_full_unstemmed 2009a. Quantifying the effects of prey abundance on killer whale reproduction
title_sort 2009a. quantifying the effects of prey abundance on killer whale reproduction
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5028
http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf
genre Killer Whale
Orca
Orcinus orca
Killer whale
genre_facet Killer Whale
Orca
Orcinus orca
Killer whale
op_source http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5028
http://alaskafisheries.noaa.gov/protectedresources/whales/killerwhales/articles/ward_holmes_balcomb_preyabundance09.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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