Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data

© Springer-Verlag 2008 Assessing the status and trends in animal populations is essential for effective species conservation and management practices. However, unless time-series abundance data demonstrate rapid and reliable fluctuations, objective appraisal of directionality of trends is problemati...

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Published in:Oecologia
Main Authors: McMahon, C., Bester, M., Hindell, M., Brook, B., Bradshaw, C.
Format: Article in Journal/Newspaper
Language:English
Published: Springer 2009
Subjects:
Online Access:http://hdl.handle.net/2440/50615
https://doi.org/10.1007/s00442-008-1205-9
id ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/50615
record_format openpolar
spelling ftunivadelaidedl:oai:digital.library.adelaide.edu.au:2440/50615 2023-12-17T10:29:39+01:00 Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data McMahon, C. Bester, M. Hindell, M. Brook, B. Bradshaw, C. 2009 http://hdl.handle.net/2440/50615 https://doi.org/10.1007/s00442-008-1205-9 en eng Springer Oecologia, 2009; 159(1):69-82 0029-8549 1432-1939 http://hdl.handle.net/2440/50615 doi:10.1007/s00442-008-1205-9 Bradshaw, C. [0000-0002-5328-7741] http://dx.doi.org/10.1007/s00442-008-1205-9 Animals Seals Earless Ecosystem Population Dynamics Time Factors Australia Female Journal article 2009 ftunivadelaidedl https://doi.org/10.1007/s00442-008-1205-9 2023-11-20T23:26:42Z © Springer-Verlag 2008 Assessing the status and trends in animal populations is essential for effective species conservation and management practices. However, unless time-series abundance data demonstrate rapid and reliable fluctuations, objective appraisal of directionality of trends is problematic. We adopted a multiple-working hypotheses approach based on information-theoretic and Bayesian multi-model inference to examine the population trends and form of intrinsic regulation demonstrated by a long-lived species, the southern elephant seal. We also determined the evidence for density dependence in 11 other well-studied marine mammal species. (1) We tested the type of population regulation for elephant seals from Marion Island (1986–2004) and from 11 other marine mammal species, and (2) we described the trends and behavior of the 19-year population time series at Marion Island to identify changes in population trends. We contrasted five plausible trend models using information-theoretic and Bayesian-inference estimates of model parsimony. Our analyses identified two distinct phases of population growth for this population with the inflexion occurring in 1998. Thus, the population decreased between 1986 and 1997 (−3.7% per annum) and increased between 1997 and 2004 (1.9% per annum). An index of environmental stochasticity, the Southern Oscillation Index, explained some of the variance in r and N. We determined analytically that there was good evidence for density dependence in the Marion Island population and that density dependence was widespread among marine mammal species (67% of species showed evidence for population regulation). This approach demonstrates the potential functionality of a relatively simple technique that can be applied to short time series to identify the type of regulation, and the uncertainty associated with the phenomenon, operating in populations of large mammals. Clive R. McMahon, Marthan N. Bester, Mark A. Hindell, Barry W. Brook and Corey J. A. Bradshaw Article in Journal/Newspaper Elephant Seal Elephant Seals Marion Island Southern Elephant Seal The University of Adelaide: Digital Library Bradshaw ENVELOPE(163.867,163.867,-71.467,-71.467) Corey ENVELOPE(-145.133,-145.133,-76.667,-76.667) McMahon ENVELOPE(65.148,65.148,-70.835,-70.835) Oecologia 159 1 69 82
institution Open Polar
collection The University of Adelaide: Digital Library
op_collection_id ftunivadelaidedl
language English
topic Animals
Seals
Earless
Ecosystem
Population Dynamics
Time Factors
Australia
Female
spellingShingle Animals
Seals
Earless
Ecosystem
Population Dynamics
Time Factors
Australia
Female
McMahon, C.
Bester, M.
Hindell, M.
Brook, B.
Bradshaw, C.
Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
topic_facet Animals
Seals
Earless
Ecosystem
Population Dynamics
Time Factors
Australia
Female
description © Springer-Verlag 2008 Assessing the status and trends in animal populations is essential for effective species conservation and management practices. However, unless time-series abundance data demonstrate rapid and reliable fluctuations, objective appraisal of directionality of trends is problematic. We adopted a multiple-working hypotheses approach based on information-theoretic and Bayesian multi-model inference to examine the population trends and form of intrinsic regulation demonstrated by a long-lived species, the southern elephant seal. We also determined the evidence for density dependence in 11 other well-studied marine mammal species. (1) We tested the type of population regulation for elephant seals from Marion Island (1986–2004) and from 11 other marine mammal species, and (2) we described the trends and behavior of the 19-year population time series at Marion Island to identify changes in population trends. We contrasted five plausible trend models using information-theoretic and Bayesian-inference estimates of model parsimony. Our analyses identified two distinct phases of population growth for this population with the inflexion occurring in 1998. Thus, the population decreased between 1986 and 1997 (−3.7% per annum) and increased between 1997 and 2004 (1.9% per annum). An index of environmental stochasticity, the Southern Oscillation Index, explained some of the variance in r and N. We determined analytically that there was good evidence for density dependence in the Marion Island population and that density dependence was widespread among marine mammal species (67% of species showed evidence for population regulation). This approach demonstrates the potential functionality of a relatively simple technique that can be applied to short time series to identify the type of regulation, and the uncertainty associated with the phenomenon, operating in populations of large mammals. Clive R. McMahon, Marthan N. Bester, Mark A. Hindell, Barry W. Brook and Corey J. A. Bradshaw
format Article in Journal/Newspaper
author McMahon, C.
Bester, M.
Hindell, M.
Brook, B.
Bradshaw, C.
author_facet McMahon, C.
Bester, M.
Hindell, M.
Brook, B.
Bradshaw, C.
author_sort McMahon, C.
title Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
title_short Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
title_full Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
title_fullStr Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
title_full_unstemmed Shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
title_sort shifting trends: detecting environmentally mediated regulation in long-lived marine vertebrates using time-series data
publisher Springer
publishDate 2009
url http://hdl.handle.net/2440/50615
https://doi.org/10.1007/s00442-008-1205-9
long_lat ENVELOPE(163.867,163.867,-71.467,-71.467)
ENVELOPE(-145.133,-145.133,-76.667,-76.667)
ENVELOPE(65.148,65.148,-70.835,-70.835)
geographic Bradshaw
Corey
McMahon
geographic_facet Bradshaw
Corey
McMahon
genre Elephant Seal
Elephant Seals
Marion Island
Southern Elephant Seal
genre_facet Elephant Seal
Elephant Seals
Marion Island
Southern Elephant Seal
op_source http://dx.doi.org/10.1007/s00442-008-1205-9
op_relation Oecologia, 2009; 159(1):69-82
0029-8549
1432-1939
http://hdl.handle.net/2440/50615
doi:10.1007/s00442-008-1205-9
Bradshaw, C. [0000-0002-5328-7741]
op_doi https://doi.org/10.1007/s00442-008-1205-9
container_title Oecologia
container_volume 159
container_issue 1
container_start_page 69
op_container_end_page 82
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