Intrinsic and climatic factors in North-American animal population dynamics
BackgroundExtensive 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. bi...
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ftcdlib:oai:escholarship.org:ark:/13030/qt4pw8v1kh 2023-10-25T01:41:33+02:00 Intrinsic and climatic factors in North-American animal population dynamics Loeuille, Nicolas Ghil, Michael 6 2004-01-01 application/pdf https://escholarship.org/uc/item/4pw8v1kh unknown eScholarship, University of California qt4pw8v1kh https://escholarship.org/uc/item/4pw8v1kh public BMC Ecology and Evolution, vol 4, iss 1 Biological Sciences Ecology Animals Arvicolinae Carnivora Climate Foxes Hair Lynx Mink Models Biological Monte Carlo Method Mustelidae North America Otters Population Dynamics Predatory Behavior Principal Component Analysis Rodentia Ursidae Wolves Evolutionary Biology article 2004 ftcdlib 2023-09-25T18:03:17Z BackgroundExtensive 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.ResultsWe study eleven century-long time series of fur-counts 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.ConclusionsOur 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. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Lynx University of California: eScholarship |
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Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Biological Sciences Ecology Animals Arvicolinae Carnivora Climate Foxes Hair Lynx Mink Models Biological Monte Carlo Method Mustelidae North America Otters Population Dynamics Predatory Behavior Principal Component Analysis Rodentia Ursidae Wolves Evolutionary Biology |
spellingShingle |
Biological Sciences Ecology Animals Arvicolinae Carnivora Climate Foxes Hair Lynx Mink Models Biological Monte Carlo Method Mustelidae North America Otters Population Dynamics Predatory Behavior Principal Component Analysis Rodentia Ursidae Wolves Evolutionary Biology Loeuille, Nicolas Ghil, Michael Intrinsic and climatic factors in North-American animal population dynamics |
topic_facet |
Biological Sciences Ecology Animals Arvicolinae Carnivora Climate Foxes Hair Lynx Mink Models Biological Monte Carlo Method Mustelidae North America Otters Population Dynamics Predatory Behavior Principal Component Analysis Rodentia Ursidae Wolves Evolutionary Biology |
description |
BackgroundExtensive 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.ResultsWe study eleven century-long time series of fur-counts 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.ConclusionsOur 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. |
format |
Article in Journal/Newspaper |
author |
Loeuille, Nicolas Ghil, Michael |
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 |
eScholarship, University of California |
publishDate |
2004 |
url |
https://escholarship.org/uc/item/4pw8v1kh |
op_coverage |
6 |
genre |
North Atlantic North Atlantic oscillation Lynx |
genre_facet |
North Atlantic North Atlantic oscillation Lynx |
op_source |
BMC Ecology and Evolution, vol 4, iss 1 |
op_relation |
qt4pw8v1kh https://escholarship.org/uc/item/4pw8v1kh |
op_rights |
public |
_version_ |
1780737692708896768 |