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Disentangling demographic effects of red deer on chamois population dynamics

Investigating the impact of ecological factors on sex‐ and age‐specific vital rates is essential to understand animal population dynamics and detect the potential for interactions between sympatric species. We used block count data and autoregressive linear models to investigate variation in birth r...

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Autores principales: Donini, Valerio, Pedrotti, Luca, Ferretti, Francesco, Corlatti, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216891/
https://www.ncbi.nlm.nih.gov/pubmed/34188885
http://dx.doi.org/10.1002/ece3.7657
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author Donini, Valerio
Pedrotti, Luca
Ferretti, Francesco
Corlatti, Luca
author_facet Donini, Valerio
Pedrotti, Luca
Ferretti, Francesco
Corlatti, Luca
author_sort Donini, Valerio
collection PubMed
description Investigating the impact of ecological factors on sex‐ and age‐specific vital rates is essential to understand animal population dynamics and detect the potential for interactions between sympatric species. We used block count data and autoregressive linear models to investigate variation in birth rate, kid survival, female survival, and male survival in a population of Alpine chamois Rupicapra rupicapra rupicapra monitored over 27 years within the Stelvio National Park, Central Italian Alps, as function of climatic variables, density dependence, and interspecific competition with red deer Cervus elaphus. We also used path analysis to assess the indirect effect of deer abundance on chamois growth rate mediated by each demographic parameter. Based on previous findings, we predicted that birth rate at [t] would negatively relate to red deer abundance at year [t − 1]; survival rates between [t] and [t + 1] would negatively relate to red deer abundance at year [t − 1] and to the interactive effect of winter precipitation at [t + 1] and chamois density at [t]. Our results showed that birth rate was positively related to spring–summer precipitation in the previous year, but this effect was hampered by increasing red deer abundance. Kid and female survival rates were negatively related to the combined effect of chamois abundance and winter precipitation. Male and female survival rates were negatively related to lagged red deer abundance. The path analysis supported a negative indirect effect of red deer abundance on chamois growth rate mediated by birth rate and female survival. Our results suggest that chamois population dynamics was largely explained by the synergistic effect of density dependence and winter harshness, as well as by interspecific competition with red deer, whose effects were seemingly stronger on the kid–female segment of the population.
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spelling pubmed-82168912021-06-28 Disentangling demographic effects of red deer on chamois population dynamics Donini, Valerio Pedrotti, Luca Ferretti, Francesco Corlatti, Luca Ecol Evol Original Research Investigating the impact of ecological factors on sex‐ and age‐specific vital rates is essential to understand animal population dynamics and detect the potential for interactions between sympatric species. We used block count data and autoregressive linear models to investigate variation in birth rate, kid survival, female survival, and male survival in a population of Alpine chamois Rupicapra rupicapra rupicapra monitored over 27 years within the Stelvio National Park, Central Italian Alps, as function of climatic variables, density dependence, and interspecific competition with red deer Cervus elaphus. We also used path analysis to assess the indirect effect of deer abundance on chamois growth rate mediated by each demographic parameter. Based on previous findings, we predicted that birth rate at [t] would negatively relate to red deer abundance at year [t − 1]; survival rates between [t] and [t + 1] would negatively relate to red deer abundance at year [t − 1] and to the interactive effect of winter precipitation at [t + 1] and chamois density at [t]. Our results showed that birth rate was positively related to spring–summer precipitation in the previous year, but this effect was hampered by increasing red deer abundance. Kid and female survival rates were negatively related to the combined effect of chamois abundance and winter precipitation. Male and female survival rates were negatively related to lagged red deer abundance. The path analysis supported a negative indirect effect of red deer abundance on chamois growth rate mediated by birth rate and female survival. Our results suggest that chamois population dynamics was largely explained by the synergistic effect of density dependence and winter harshness, as well as by interspecific competition with red deer, whose effects were seemingly stronger on the kid–female segment of the population. John Wiley and Sons Inc. 2021-05-25 /pmc/articles/PMC8216891/ /pubmed/34188885 http://dx.doi.org/10.1002/ece3.7657 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Donini, Valerio
Pedrotti, Luca
Ferretti, Francesco
Corlatti, Luca
Disentangling demographic effects of red deer on chamois population dynamics
title Disentangling demographic effects of red deer on chamois population dynamics
title_full Disentangling demographic effects of red deer on chamois population dynamics
title_fullStr Disentangling demographic effects of red deer on chamois population dynamics
title_full_unstemmed Disentangling demographic effects of red deer on chamois population dynamics
title_short Disentangling demographic effects of red deer on chamois population dynamics
title_sort disentangling demographic effects of red deer on chamois population dynamics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216891/
https://www.ncbi.nlm.nih.gov/pubmed/34188885
http://dx.doi.org/10.1002/ece3.7657
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