Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem

Abstract Stable isotope analysis (SIA) of wolf ( Canis lupus ) tissues can be used to estimate diet and intra‐population diet variability when potential prey have distinct δ 13 C and δ 15 N values. We tested this technique using guard hairs collected from 44 wolves in 12 northwestern Montana packs,...

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Published in:The Journal of Wildlife Management
Main Authors: Derbridge, Jonathan J., Krausman, Paul R., Darimont, Chris T.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2012
Subjects:
Online Access:http://dx.doi.org/10.1002/jwmg.359
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.359
http://onlinelibrary.wiley.com/wol1/doi/10.1002/jwmg.359/fullpdf
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spelling crwiley:10.1002/jwmg.359 2024-09-15T17:36:17+00:00 Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem Derbridge, Jonathan J. Krausman, Paul R. Darimont, Chris T. 2012 http://dx.doi.org/10.1002/jwmg.359 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.359 http://onlinelibrary.wiley.com/wol1/doi/10.1002/jwmg.359/fullpdf en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor The Journal of Wildlife Management volume 76, issue 6, page 1277-1289 ISSN 0022-541X 1937-2817 journal-article 2012 crwiley https://doi.org/10.1002/jwmg.359 2024-07-18T04:25:03Z Abstract Stable isotope analysis (SIA) of wolf ( Canis lupus ) tissues can be used to estimate diet and intra‐population diet variability when potential prey have distinct δ 13 C and δ 15 N values. We tested this technique using guard hairs collected from 44 wolves in 12 northwestern Montana packs, summer 2009. We used hierarchical Bayesian stable isotope mixing models to determine diet and scales of diet variation from δ 13 C and δ 15 N of wolves and potential prey, white‐tailed deer ( Odocoileus virginianus ), mule deer ( Odocoileus hemionus ), elk ( Cervus canadensis ), moose ( Alces alces ), snowshoe hare ( Lepus americanus ), and other prey. As a check on SIA results, we conducted a separate diet analysis with temporally matched scats (i.e., collected in summer 2008) from 4 of the same packs. Wolves were centered on the ungulate prey in the isotope mixing space. Both methods revealed differences among pack diets and that wolves may consume moose in greater proportions than predicted by available biomass. Stable isotope analysis, and scat results were not entirely concordant; assumptions related to tissues of use in SIA, hair growth period in wolves, and scat sampling may have contributed to a mismatch between methods. Incorrect fractionation values, insufficient separation of prey in the isotope mixing space, choice of prior information in the Bayesian mixing models, and unexplained factors may have distorted diet estimates. However, the consistently high proportion of moose in pack diets suggests that increased population monitoring would benefit management of moose and wolves. Our results also support suggestions of other researchers that species‐specific fractionation values should be used whenever possible, and that SIA may sometimes only provide indices of use for general groups of prey (e.g., large ungulates). © 2012 The Wildlife Society. Article in Journal/Newspaper Alces alces Canis lupus Wiley Online Library The Journal of Wildlife Management 76 6 1277 1289
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collection Wiley Online Library
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language English
description Abstract Stable isotope analysis (SIA) of wolf ( Canis lupus ) tissues can be used to estimate diet and intra‐population diet variability when potential prey have distinct δ 13 C and δ 15 N values. We tested this technique using guard hairs collected from 44 wolves in 12 northwestern Montana packs, summer 2009. We used hierarchical Bayesian stable isotope mixing models to determine diet and scales of diet variation from δ 13 C and δ 15 N of wolves and potential prey, white‐tailed deer ( Odocoileus virginianus ), mule deer ( Odocoileus hemionus ), elk ( Cervus canadensis ), moose ( Alces alces ), snowshoe hare ( Lepus americanus ), and other prey. As a check on SIA results, we conducted a separate diet analysis with temporally matched scats (i.e., collected in summer 2008) from 4 of the same packs. Wolves were centered on the ungulate prey in the isotope mixing space. Both methods revealed differences among pack diets and that wolves may consume moose in greater proportions than predicted by available biomass. Stable isotope analysis, and scat results were not entirely concordant; assumptions related to tissues of use in SIA, hair growth period in wolves, and scat sampling may have contributed to a mismatch between methods. Incorrect fractionation values, insufficient separation of prey in the isotope mixing space, choice of prior information in the Bayesian mixing models, and unexplained factors may have distorted diet estimates. However, the consistently high proportion of moose in pack diets suggests that increased population monitoring would benefit management of moose and wolves. Our results also support suggestions of other researchers that species‐specific fractionation values should be used whenever possible, and that SIA may sometimes only provide indices of use for general groups of prey (e.g., large ungulates). © 2012 The Wildlife Society.
format Article in Journal/Newspaper
author Derbridge, Jonathan J.
Krausman, Paul R.
Darimont, Chris T.
spellingShingle Derbridge, Jonathan J.
Krausman, Paul R.
Darimont, Chris T.
Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
author_facet Derbridge, Jonathan J.
Krausman, Paul R.
Darimont, Chris T.
author_sort Derbridge, Jonathan J.
title Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
title_short Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
title_full Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
title_fullStr Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
title_full_unstemmed Using Bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
title_sort using bayesian stable isotope mixing models to estimate wolf diet in a multi‐prey ecosystem
publisher Wiley
publishDate 2012
url http://dx.doi.org/10.1002/jwmg.359
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjwmg.359
http://onlinelibrary.wiley.com/wol1/doi/10.1002/jwmg.359/fullpdf
genre Alces alces
Canis lupus
genre_facet Alces alces
Canis lupus
op_source The Journal of Wildlife Management
volume 76, issue 6, page 1277-1289
ISSN 0022-541X 1937-2817
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/jwmg.359
container_title The Journal of Wildlife Management
container_volume 76
container_issue 6
container_start_page 1277
op_container_end_page 1289
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