Are grouse populations unstable at the southern end of their range?

The long‐term temporal dynamics of four grouse species in the Italian Alps have been investigated in the attempt to reveal if the populations exhibit the tendency to cycle at the southern edge of their European range. Hunting statistics or count data were collected as total number of individuals sho...

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Published in:Wildlife Biology
Main Authors: Cattadori, Isabella M., Hudson, Peter J.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2000
Subjects:
Online Access:http://dx.doi.org/10.2981/wlb.2000.018
https://onlinelibrary.wiley.com/doi/full-xml/10.2981/wlb.2000.018
https://onlinelibrary.wiley.com/doi/pdf/10.2981/wlb.2000.018
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spelling crwiley:10.2981/wlb.2000.018 2024-09-09T19:50:46+00:00 Are grouse populations unstable at the southern end of their range? Cattadori, Isabella M. Hudson, Peter J. 2000 http://dx.doi.org/10.2981/wlb.2000.018 https://onlinelibrary.wiley.com/doi/full-xml/10.2981/wlb.2000.018 https://onlinelibrary.wiley.com/doi/pdf/10.2981/wlb.2000.018 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Wildlife Biology volume 6, issue 4, page 213-218 ISSN 1903-220X 1903-220X journal-article 2000 crwiley https://doi.org/10.2981/wlb.2000.018 2024-06-18T04:11:58Z The long‐term temporal dynamics of four grouse species in the Italian Alps have been investigated in the attempt to reveal if the populations exhibit the tendency to cycle at the southern edge of their European range. Hunting statistics or count data were collected as total number of individuals shot or counted each year from five provinces. For the province of Trento data were available at the level of mountain groups and a more detailed investigation was carried out. The results from Trento were compared with the more general findings from the other four Italian provinces. Time series analysis was performed to investigate the pattern of cycle and autoregressive models were used to describe the density dependence structure. In general, the populations showed a weak or no tendency to regular fluctuations: rock ptarmigan Lagopus mutus and black grouse Tetrao tetrix populations exhibited the highest tendency to cycle with periods of 5–9 years while capercaillie Tetrao urogallus never showed regular fluctuations. Hazel grouse Bonasa bonasia cyclic dynamics were restricted to a few populations of Trento. When time series from Trento were corrected for hunting effort the detection of cycle among populations sharply increased but no differences in the strength of second order density dependence or in the period length was observed. A linear first order autoregressive model explained better the intrinsic structure of the majority of populations. We compare the findings with studies conducted on populations of northern Europe and suggest possible reasons for the reduced tendency to cycle in the grouse populations of the Italian Alps. Article in Journal/Newspaper Lagopus mutus rock ptarmigan Wiley Online Library Wildlife Biology 6 4 213 218
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description The long‐term temporal dynamics of four grouse species in the Italian Alps have been investigated in the attempt to reveal if the populations exhibit the tendency to cycle at the southern edge of their European range. Hunting statistics or count data were collected as total number of individuals shot or counted each year from five provinces. For the province of Trento data were available at the level of mountain groups and a more detailed investigation was carried out. The results from Trento were compared with the more general findings from the other four Italian provinces. Time series analysis was performed to investigate the pattern of cycle and autoregressive models were used to describe the density dependence structure. In general, the populations showed a weak or no tendency to regular fluctuations: rock ptarmigan Lagopus mutus and black grouse Tetrao tetrix populations exhibited the highest tendency to cycle with periods of 5–9 years while capercaillie Tetrao urogallus never showed regular fluctuations. Hazel grouse Bonasa bonasia cyclic dynamics were restricted to a few populations of Trento. When time series from Trento were corrected for hunting effort the detection of cycle among populations sharply increased but no differences in the strength of second order density dependence or in the period length was observed. A linear first order autoregressive model explained better the intrinsic structure of the majority of populations. We compare the findings with studies conducted on populations of northern Europe and suggest possible reasons for the reduced tendency to cycle in the grouse populations of the Italian Alps.
format Article in Journal/Newspaper
author Cattadori, Isabella M.
Hudson, Peter J.
spellingShingle Cattadori, Isabella M.
Hudson, Peter J.
Are grouse populations unstable at the southern end of their range?
author_facet Cattadori, Isabella M.
Hudson, Peter J.
author_sort Cattadori, Isabella M.
title Are grouse populations unstable at the southern end of their range?
title_short Are grouse populations unstable at the southern end of their range?
title_full Are grouse populations unstable at the southern end of their range?
title_fullStr Are grouse populations unstable at the southern end of their range?
title_full_unstemmed Are grouse populations unstable at the southern end of their range?
title_sort are grouse populations unstable at the southern end of their range?
publisher Wiley
publishDate 2000
url http://dx.doi.org/10.2981/wlb.2000.018
https://onlinelibrary.wiley.com/doi/full-xml/10.2981/wlb.2000.018
https://onlinelibrary.wiley.com/doi/pdf/10.2981/wlb.2000.018
genre Lagopus mutus
rock ptarmigan
genre_facet Lagopus mutus
rock ptarmigan
op_source Wildlife Biology
volume 6, issue 4, page 213-218
ISSN 1903-220X 1903-220X
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.2981/wlb.2000.018
container_title Wildlife Biology
container_volume 6
container_issue 4
container_start_page 213
op_container_end_page 218
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