Data from: The diversity of population responses to environmental change
The current extinction and climate change crises pressure us to predict population dynamics with ever-greater accuracy. Although predictions rest on the well-advanced theory of age-structured populations, two key issues remain poorly-explored. Specifically, how the age-dependency in demographic rate...
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Online Access: | https://doi.org/10.5061/dryad.d5f54s7 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::1e10890de9e0076cf985fc6e5b119753 2023-05-15T18:27:24+02:00 Data from: The diversity of population responses to environmental change Colchero, Fernando Jones, Owen R. Conde, Dalia A. Hodgson, Dave Zajitschek, Felix Schmidt, Benedikt R. Malo, Aurelio F. Alberts, Susan C. Becker, Peter H. Bouwhuis, Sandra Bronikowski, Anne M. De Vleeschouwer, Kristel M. Delahay, Richard J. Dummermuth, Stefan Fernández-Duque, Eduardo Frisenvænge, John Hesselsøe, Martin Larson, Sam Lemaitre, Jean-Francois McDonald, Jennifer Miller, David A.W. O'Donnell, Colin Packer, Craig Raboy, Becky E. Reading, Christopher J. Wapstra, Erik Weimerskirch, Henri While, Geoffrey M. Baudisch, Annette Flatt, Thomas Coulson, Tim Gaillard, Jean-Michel Vleeschouwer, Kristel M. Hodgson, David Reading, Chris J. 2019-11-08 https://doi.org/10.5061/dryad.d5f54s7 en eng Dryad http://dx.doi.org/10.5061/dryad.d5f54s7 https://dx.doi.org/10.5061/dryad.d5f54s7 lic_creative-commons 10.5061/dryad.d5f54s7 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:119175 oai:easy.dans.knaw.nl:easy-dataset:119175 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c 10|openaire____::55045bd2a65019fd8e6741a755395c8c Notophthalmus viridescens Panthera leo Salamandra salamandra Aotus azarae Capreolus capreolus Pseudepidalea viridis stochastic population growth Chalinolobus tuberculatus Falco tinnunculus Cervus elaphus Apodemus sylvaticus Accipiter nisus Parus major Life table Bufo bufo Leontopithecus chrysomelas Papio cynocephalus Niveoscincus ocellatus Thamnophis elegans Ovis aries Corvus frugilegus Meles meles Coronella austriaca Fulmarus glacialoides Vipera aspis Sterna hirundo Life sciences medicine and health care population dynamics stat envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2019 fttriple https://doi.org/10.5061/dryad.d5f54s7 2023-01-22T17:22:51Z The current extinction and climate change crises pressure us to predict population dynamics with ever-greater accuracy. Although predictions rest on the well-advanced theory of age-structured populations, two key issues remain poorly-explored. Specifically, how the age-dependency in demographic rates and the year-to-year interactions between survival and fecundity affect stochastic population growth rates. We use inference, simulations, and mathematical derivations to explore how environmental perturbations determine population growth rates for populations with different age-specific demographic rates and when ages are reduced to stages. We find that stage- vs. age-based models can produce markedly divergent stochastic population growth rates. The differences are most pronounced when there are survival-fecundity-trade-offs, which reduce the variance in the population growth rate. Finally, the expected value and variance of the stochastic growth rates of populations with different age-specific demographic rates can diverge to the extent that, while some populations may thrive, others will inevitably go extinct. LifeTablesLife tables for 24 species of terrestrial vertebrates. Dataset Sterna hirundo Unknown Parus ENVELOPE(3.950,3.950,-71.983,-71.983) |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Notophthalmus viridescens Panthera leo Salamandra salamandra Aotus azarae Capreolus capreolus Pseudepidalea viridis stochastic population growth Chalinolobus tuberculatus Falco tinnunculus Cervus elaphus Apodemus sylvaticus Accipiter nisus Parus major Life table Bufo bufo Leontopithecus chrysomelas Papio cynocephalus Niveoscincus ocellatus Thamnophis elegans Ovis aries Corvus frugilegus Meles meles Coronella austriaca Fulmarus glacialoides Vipera aspis Sterna hirundo Life sciences medicine and health care population dynamics stat envir |
spellingShingle |
Notophthalmus viridescens Panthera leo Salamandra salamandra Aotus azarae Capreolus capreolus Pseudepidalea viridis stochastic population growth Chalinolobus tuberculatus Falco tinnunculus Cervus elaphus Apodemus sylvaticus Accipiter nisus Parus major Life table Bufo bufo Leontopithecus chrysomelas Papio cynocephalus Niveoscincus ocellatus Thamnophis elegans Ovis aries Corvus frugilegus Meles meles Coronella austriaca Fulmarus glacialoides Vipera aspis Sterna hirundo Life sciences medicine and health care population dynamics stat envir Colchero, Fernando Jones, Owen R. Conde, Dalia A. Hodgson, Dave Zajitschek, Felix Schmidt, Benedikt R. Malo, Aurelio F. Alberts, Susan C. Becker, Peter H. Bouwhuis, Sandra Bronikowski, Anne M. De Vleeschouwer, Kristel M. Delahay, Richard J. Dummermuth, Stefan Fernández-Duque, Eduardo Frisenvænge, John Hesselsøe, Martin Larson, Sam Lemaitre, Jean-Francois McDonald, Jennifer Miller, David A.W. O'Donnell, Colin Packer, Craig Raboy, Becky E. Reading, Christopher J. Wapstra, Erik Weimerskirch, Henri While, Geoffrey M. Baudisch, Annette Flatt, Thomas Coulson, Tim Gaillard, Jean-Michel Vleeschouwer, Kristel M. Hodgson, David Reading, Chris J. Data from: The diversity of population responses to environmental change |
topic_facet |
Notophthalmus viridescens Panthera leo Salamandra salamandra Aotus azarae Capreolus capreolus Pseudepidalea viridis stochastic population growth Chalinolobus tuberculatus Falco tinnunculus Cervus elaphus Apodemus sylvaticus Accipiter nisus Parus major Life table Bufo bufo Leontopithecus chrysomelas Papio cynocephalus Niveoscincus ocellatus Thamnophis elegans Ovis aries Corvus frugilegus Meles meles Coronella austriaca Fulmarus glacialoides Vipera aspis Sterna hirundo Life sciences medicine and health care population dynamics stat envir |
description |
The current extinction and climate change crises pressure us to predict population dynamics with ever-greater accuracy. Although predictions rest on the well-advanced theory of age-structured populations, two key issues remain poorly-explored. Specifically, how the age-dependency in demographic rates and the year-to-year interactions between survival and fecundity affect stochastic population growth rates. We use inference, simulations, and mathematical derivations to explore how environmental perturbations determine population growth rates for populations with different age-specific demographic rates and when ages are reduced to stages. We find that stage- vs. age-based models can produce markedly divergent stochastic population growth rates. The differences are most pronounced when there are survival-fecundity-trade-offs, which reduce the variance in the population growth rate. Finally, the expected value and variance of the stochastic growth rates of populations with different age-specific demographic rates can diverge to the extent that, while some populations may thrive, others will inevitably go extinct. LifeTablesLife tables for 24 species of terrestrial vertebrates. |
format |
Dataset |
author |
Colchero, Fernando Jones, Owen R. Conde, Dalia A. Hodgson, Dave Zajitschek, Felix Schmidt, Benedikt R. Malo, Aurelio F. Alberts, Susan C. Becker, Peter H. Bouwhuis, Sandra Bronikowski, Anne M. De Vleeschouwer, Kristel M. Delahay, Richard J. Dummermuth, Stefan Fernández-Duque, Eduardo Frisenvænge, John Hesselsøe, Martin Larson, Sam Lemaitre, Jean-Francois McDonald, Jennifer Miller, David A.W. O'Donnell, Colin Packer, Craig Raboy, Becky E. Reading, Christopher J. Wapstra, Erik Weimerskirch, Henri While, Geoffrey M. Baudisch, Annette Flatt, Thomas Coulson, Tim Gaillard, Jean-Michel Vleeschouwer, Kristel M. Hodgson, David Reading, Chris J. |
author_facet |
Colchero, Fernando Jones, Owen R. Conde, Dalia A. Hodgson, Dave Zajitschek, Felix Schmidt, Benedikt R. Malo, Aurelio F. Alberts, Susan C. Becker, Peter H. Bouwhuis, Sandra Bronikowski, Anne M. De Vleeschouwer, Kristel M. Delahay, Richard J. Dummermuth, Stefan Fernández-Duque, Eduardo Frisenvænge, John Hesselsøe, Martin Larson, Sam Lemaitre, Jean-Francois McDonald, Jennifer Miller, David A.W. O'Donnell, Colin Packer, Craig Raboy, Becky E. Reading, Christopher J. Wapstra, Erik Weimerskirch, Henri While, Geoffrey M. Baudisch, Annette Flatt, Thomas Coulson, Tim Gaillard, Jean-Michel Vleeschouwer, Kristel M. Hodgson, David Reading, Chris J. |
author_sort |
Colchero, Fernando |
title |
Data from: The diversity of population responses to environmental change |
title_short |
Data from: The diversity of population responses to environmental change |
title_full |
Data from: The diversity of population responses to environmental change |
title_fullStr |
Data from: The diversity of population responses to environmental change |
title_full_unstemmed |
Data from: The diversity of population responses to environmental change |
title_sort |
data from: the diversity of population responses to environmental change |
publisher |
Dryad |
publishDate |
2019 |
url |
https://doi.org/10.5061/dryad.d5f54s7 |
long_lat |
ENVELOPE(3.950,3.950,-71.983,-71.983) |
geographic |
Parus |
geographic_facet |
Parus |
genre |
Sterna hirundo |
genre_facet |
Sterna hirundo |
op_source |
10.5061/dryad.d5f54s7 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:119175 oai:easy.dans.knaw.nl:easy-dataset:119175 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c 10|openaire____::55045bd2a65019fd8e6741a755395c8c |
op_relation |
http://dx.doi.org/10.5061/dryad.d5f54s7 https://dx.doi.org/10.5061/dryad.d5f54s7 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.d5f54s7 |
_version_ |
1766209494652551168 |