Intrinsic and climatic factors in North-American animal population dynamics

<p>Abstract</p> <p>Background</p> <p>Extensive work has been done to identify and explain multi-year cycles in animal populations. Several attempts have been made to relate these to climatic cycles. We use advanced time series analysis methods to attribute cyclicities i...

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Main Authors: Loeuille Nicolas, Ghil Michael
Format: Article
Language:English
Published: BMC 2004-05-01
Series:BMC Ecology
Subjects:
Online Access:http://www.biomedcentral.com/1472-6785/4/6
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spelling doaj-6752270e8f6d4255bb4f6fc19bde0de12021-09-02T12:31:29ZengBMCBMC Ecology1472-67852004-05-0141610.1186/1472-6785-4-6Intrinsic and climatic factors in North-American animal population dynamicsLoeuille NicolasGhil Michael<p>Abstract</p> <p>Background</p> <p>Extensive work has been done to identify and explain multi-year cycles in animal populations. Several attempts have been made to relate these to climatic cycles. We use advanced time series analysis methods to attribute cyclicities in several North-American mammal species to abiotic vs. biotic factors.</p> <p>Results</p> <p>We study eleven century-long time series of <it>fur-count</it>s and three climatic records – the North Atlantic Oscillation (NAO), the El-Niño-Southern Oscillation (ENSO), and Northern Hemisphere (NH) temperatures – that extend over the same time interval. Several complementary methods of spectral analysis are applied to these 14 times series, singly or jointly. These spectral analyses were applied to the leading principal components (PCs) of the data sets. The use of both PC analysis and spectral analysis helps distinguish external from intrinsic factors that influence the dynamics of the mammal populations.</p> <p>Conclusions</p> <p>Our results show that all three climatic indices influence the animal-population dynamics: they explain a substantial part of the variance in the fur-counts and share characteristic periods with the fur-count data set. In addition to the climate-related periods, the fur-count time series also contain a significant 3-year period that is, in all likelihood, caused by biological interactions.</p> http://www.biomedcentral.com/1472-6785/4/6population dynamicsclimatic effectsprincipal component analysisspectral analysismulti-annual periodicities.
collection DOAJ
language English
format Article
sources DOAJ
author Loeuille Nicolas
Ghil Michael
spellingShingle Loeuille Nicolas
Ghil Michael
Intrinsic and climatic factors in North-American animal population dynamics
BMC Ecology
population dynamics
climatic effects
principal component analysis
spectral analysis
multi-annual periodicities.
author_facet Loeuille Nicolas
Ghil Michael
author_sort Loeuille Nicolas
title Intrinsic and climatic factors in North-American animal population dynamics
title_short Intrinsic and climatic factors in North-American animal population dynamics
title_full Intrinsic and climatic factors in North-American animal population dynamics
title_fullStr Intrinsic and climatic factors in North-American animal population dynamics
title_full_unstemmed Intrinsic and climatic factors in North-American animal population dynamics
title_sort intrinsic and climatic factors in north-american animal population dynamics
publisher BMC
series BMC Ecology
issn 1472-6785
publishDate 2004-05-01
description <p>Abstract</p> <p>Background</p> <p>Extensive work has been done to identify and explain multi-year cycles in animal populations. Several attempts have been made to relate these to climatic cycles. We use advanced time series analysis methods to attribute cyclicities in several North-American mammal species to abiotic vs. biotic factors.</p> <p>Results</p> <p>We study eleven century-long time series of <it>fur-count</it>s and three climatic records – the North Atlantic Oscillation (NAO), the El-Niño-Southern Oscillation (ENSO), and Northern Hemisphere (NH) temperatures – that extend over the same time interval. Several complementary methods of spectral analysis are applied to these 14 times series, singly or jointly. These spectral analyses were applied to the leading principal components (PCs) of the data sets. The use of both PC analysis and spectral analysis helps distinguish external from intrinsic factors that influence the dynamics of the mammal populations.</p> <p>Conclusions</p> <p>Our results show that all three climatic indices influence the animal-population dynamics: they explain a substantial part of the variance in the fur-counts and share characteristic periods with the fur-count data set. In addition to the climate-related periods, the fur-count time series also contain a significant 3-year period that is, in all likelihood, caused by biological interactions.</p>
topic population dynamics
climatic effects
principal component analysis
spectral analysis
multi-annual periodicities.
url http://www.biomedcentral.com/1472-6785/4/6
work_keys_str_mv AT loeuillenicolas intrinsicandclimaticfactorsinnorthamericananimalpopulationdynamics
AT ghilmichael intrinsicandclimaticfactorsinnorthamericananimalpopulationdynamics
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