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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Main Authors: Loeuille, Nicolas, Ghil, Michael
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2004
Subjects:
Online Access:https://escholarship.org/uc/item/4pw8v1kh
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spelling 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
institution 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