Effects of social structure and prey dynamics on extinction risk in gray wolves

Extinction models based on diffusion theory generally fail to incorporate two important aspects of population biology-social structure and prey dynamics. We include these aspects in an individual-based extinction model for small, isolated populations of the gray wolf (Canis lupus). Our model predict...

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Published in:Conservation Biology
Main Authors: Vucetich, John A., Peterson, Rolf O., Waite, Thomas A.
Format: Text
Language:unknown
Published: Digital Commons @ Michigan Tech 1997
Subjects:
Online Access:https://digitalcommons.mtu.edu/michigantech-p/8598
https://doi.org/10.1046/j.1523-1739.1997.95366.x
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spelling ftmichigantuniv:oai:digitalcommons.mtu.edu:michigantech-p-27900 2023-05-15T15:50:24+02:00 Effects of social structure and prey dynamics on extinction risk in gray wolves Vucetich, John A. Peterson, Rolf O. Waite, Thomas A. 1997-08-01T07:00:00Z https://digitalcommons.mtu.edu/michigantech-p/8598 https://doi.org/10.1046/j.1523-1739.1997.95366.x unknown Digital Commons @ Michigan Tech https://digitalcommons.mtu.edu/michigantech-p/8598 https://doi.org/10.1046/j.1523-1739.1997.95366.x Michigan Tech Publications text 1997 ftmichigantuniv https://doi.org/10.1046/j.1523-1739.1997.95366.x 2022-03-03T18:38:18Z Extinction models based on diffusion theory generally fail to incorporate two important aspects of population biology-social structure and prey dynamics. We include these aspects in an individual-based extinction model for small, isolated populations of the gray wolf (Canis lupus). Our model predicts mean times to extinction significantly longer than those predicted by more general (diffusion) models. According to our model, an isolated population of 50 wolves has a 95% chance of surviving just 9 years and only a 30% chance of surviving beyond 100 years. Reflecting the influence of social structure, a wolf population initially comprising 50 individuals is expected to persist only a few years longer, on average (71 years), than is a population initially comprising just a single reproductive pair (62 years). In contrast substantially greater average prey abundance leads to dramatically longer expected persistence times. Autocorrelated prey dynamics result in a more complex distribution of extinction times than predicted by many extinction models. We contend that demographic stochasticity may pose the greatest threat to small, isolated wolf populations, although environmental stochasticity and genetic effects may compound this threat. Our work highlights the importance of considering social structure and resource dynamics in the development of population viability analyses. Text Canis lupus gray wolf Michigan Technological University: Digital Commons @ Michigan Tech Conservation Biology 11 4 957 965
institution Open Polar
collection Michigan Technological University: Digital Commons @ Michigan Tech
op_collection_id ftmichigantuniv
language unknown
description Extinction models based on diffusion theory generally fail to incorporate two important aspects of population biology-social structure and prey dynamics. We include these aspects in an individual-based extinction model for small, isolated populations of the gray wolf (Canis lupus). Our model predicts mean times to extinction significantly longer than those predicted by more general (diffusion) models. According to our model, an isolated population of 50 wolves has a 95% chance of surviving just 9 years and only a 30% chance of surviving beyond 100 years. Reflecting the influence of social structure, a wolf population initially comprising 50 individuals is expected to persist only a few years longer, on average (71 years), than is a population initially comprising just a single reproductive pair (62 years). In contrast substantially greater average prey abundance leads to dramatically longer expected persistence times. Autocorrelated prey dynamics result in a more complex distribution of extinction times than predicted by many extinction models. We contend that demographic stochasticity may pose the greatest threat to small, isolated wolf populations, although environmental stochasticity and genetic effects may compound this threat. Our work highlights the importance of considering social structure and resource dynamics in the development of population viability analyses.
format Text
author Vucetich, John A.
Peterson, Rolf O.
Waite, Thomas A.
spellingShingle Vucetich, John A.
Peterson, Rolf O.
Waite, Thomas A.
Effects of social structure and prey dynamics on extinction risk in gray wolves
author_facet Vucetich, John A.
Peterson, Rolf O.
Waite, Thomas A.
author_sort Vucetich, John A.
title Effects of social structure and prey dynamics on extinction risk in gray wolves
title_short Effects of social structure and prey dynamics on extinction risk in gray wolves
title_full Effects of social structure and prey dynamics on extinction risk in gray wolves
title_fullStr Effects of social structure and prey dynamics on extinction risk in gray wolves
title_full_unstemmed Effects of social structure and prey dynamics on extinction risk in gray wolves
title_sort effects of social structure and prey dynamics on extinction risk in gray wolves
publisher Digital Commons @ Michigan Tech
publishDate 1997
url https://digitalcommons.mtu.edu/michigantech-p/8598
https://doi.org/10.1046/j.1523-1739.1997.95366.x
genre Canis lupus
gray wolf
genre_facet Canis lupus
gray wolf
op_source Michigan Tech Publications
op_relation https://digitalcommons.mtu.edu/michigantech-p/8598
https://doi.org/10.1046/j.1523-1739.1997.95366.x
op_doi https://doi.org/10.1046/j.1523-1739.1997.95366.x
container_title Conservation Biology
container_volume 11
container_issue 4
container_start_page 957
op_container_end_page 965
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