Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics
The effects of predation on ungulate populations depend on several factors. One of the most important factors is the proportion of predation that is additive or compensatory respectively to other mortality in the prey, i.e., the relative effect of top-down and bottom-up processes. We estimated Euras...
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ftpubmed:oai:pubmedcentral.nih.gov:4373782 2023-05-15T18:50:21+02:00 Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics Andrén, Henrik Liberg, Olof 2015-03-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373782 http://www.ncbi.nlm.nih.gov/pubmed/25806949 https://doi.org/10.1371/journal.pone.0120570 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25806949 http://dx.doi.org/10.1371/journal.pone.0120570 http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited CC-BY Research Article Text 2015 ftpubmed https://doi.org/10.1371/journal.pone.0120570 2015-03-29T01:09:27Z The effects of predation on ungulate populations depend on several factors. One of the most important factors is the proportion of predation that is additive or compensatory respectively to other mortality in the prey, i.e., the relative effect of top-down and bottom-up processes. We estimated Eurasian lynx (Lynx lynx) kill rate on roe deer (Capreolus capreolus) using radio-collared lynx. Kill rate was strongly affected by lynx social status. For males it was 4.85 ± 1.30 S.E. roe deer per 30 days, for females with kittens 6.23 ± 0.83 S.E. and for solitary females 2.71 ± 0.47 S.E. We found very weak support for effects of prey density (both for Type I (linear) and Type II (non-linear) functional responses) and of season (winter, summer) on lynx kill rate. Additionally, we analysed the growth rate in a roe deer population from 1985 to 2005 in an area, which lynx naturally re-colonized in 1996. The annual roe deer growth rate was lower after lynx re-colonized the study area, but it was also negatively influenced by roe deer density. Before lynx colonized the area roe deer growth rate was λ = 1.079 (± 0.061 S.E.), while after lynx re-colonization it was λ = 0.94 (± 0.051 S.E.). Thus, the growth rate in the roe deer population decreased by Δλ = 0.14 (± 0.080 S.E.) after lynx re-colonized the study area, which corresponded to the estimated lynx predation rate on roe deer (0.11 ± 0.042 S.E.), suggesting that lynx predation was mainly additive to other mortality in roe deer. To conclude, this study suggests that lynx predation together with density dependent factors both influence the roe deer population dynamics. Thus, both top-down and bottom-up processes operated at the same time in this predator-prey system. Text Lynx Lynx lynx lynx PubMed Central (PMC) PLOS ONE 10 3 e0120570 |
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Research Article Andrén, Henrik Liberg, Olof Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
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The effects of predation on ungulate populations depend on several factors. One of the most important factors is the proportion of predation that is additive or compensatory respectively to other mortality in the prey, i.e., the relative effect of top-down and bottom-up processes. We estimated Eurasian lynx (Lynx lynx) kill rate on roe deer (Capreolus capreolus) using radio-collared lynx. Kill rate was strongly affected by lynx social status. For males it was 4.85 ± 1.30 S.E. roe deer per 30 days, for females with kittens 6.23 ± 0.83 S.E. and for solitary females 2.71 ± 0.47 S.E. We found very weak support for effects of prey density (both for Type I (linear) and Type II (non-linear) functional responses) and of season (winter, summer) on lynx kill rate. Additionally, we analysed the growth rate in a roe deer population from 1985 to 2005 in an area, which lynx naturally re-colonized in 1996. The annual roe deer growth rate was lower after lynx re-colonized the study area, but it was also negatively influenced by roe deer density. Before lynx colonized the area roe deer growth rate was λ = 1.079 (± 0.061 S.E.), while after lynx re-colonization it was λ = 0.94 (± 0.051 S.E.). Thus, the growth rate in the roe deer population decreased by Δλ = 0.14 (± 0.080 S.E.) after lynx re-colonized the study area, which corresponded to the estimated lynx predation rate on roe deer (0.11 ± 0.042 S.E.), suggesting that lynx predation was mainly additive to other mortality in roe deer. To conclude, this study suggests that lynx predation together with density dependent factors both influence the roe deer population dynamics. Thus, both top-down and bottom-up processes operated at the same time in this predator-prey system. |
format |
Text |
author |
Andrén, Henrik Liberg, Olof |
author_facet |
Andrén, Henrik Liberg, Olof |
author_sort |
Andrén, Henrik |
title |
Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
title_short |
Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
title_full |
Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
title_fullStr |
Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
title_full_unstemmed |
Large Impact of Eurasian Lynx Predation on Roe Deer Population Dynamics |
title_sort |
large impact of eurasian lynx predation on roe deer population dynamics |
publisher |
Public Library of Science |
publishDate |
2015 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373782 http://www.ncbi.nlm.nih.gov/pubmed/25806949 https://doi.org/10.1371/journal.pone.0120570 |
genre |
Lynx Lynx lynx lynx |
genre_facet |
Lynx Lynx lynx lynx |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC http://www.ncbi.nlm.nih.gov/pubmed/25806949 http://dx.doi.org/10.1371/journal.pone.0120570 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
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CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0120570 |
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PLOS ONE |
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10 |
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3 |
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e0120570 |
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