Life-Cycle Trade-Offs in Matrix Population-Models
Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age-dependent survival or fecundity. Co...
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1995
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Online Access: | https://pure.knaw.nl/portal/en/publications/1141e007-cc5c-4629-978a-d1b6274e1451 https://doi.org/10.2307/2265822 https://hdl.handle.net/20.500.11755/1141e007-cc5c-4629-978a-d1b6274e1451 |
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ftknawnlpublic:oai:pure.knaw.nl:publications/1141e007-cc5c-4629-978a-d1b6274e1451 2024-04-28T08:27:21+00:00 Life-Cycle Trade-Offs in Matrix Population-Models Van Tienderen, P.H. 1995 https://pure.knaw.nl/portal/en/publications/1141e007-cc5c-4629-978a-d1b6274e1451 https://doi.org/10.2307/2265822 https://hdl.handle.net/20.500.11755/1141e007-cc5c-4629-978a-d1b6274e1451 eng eng https://pure.knaw.nl/portal/en/publications/1141e007-cc5c-4629-978a-d1b6274e1451 info:eu-repo/semantics/closedAccess Van Tienderen , P H 1995 , ' Life-Cycle Trade-Offs in Matrix Population-Models ' , Ecology , vol. 76 , no. 8 , pp. 2482-2489 . https://doi.org/10.2307/2265822 NIOO/CTE/PVP article 1995 ftknawnlpublic https://doi.org/10.2307/226582220.500.11755/1141e007-cc5c-4629-978a-d1b6274e1451 2024-04-11T00:17:59Z Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age-dependent survival or fecundity. Covariation among life cycle components, e.g., due to trade- offs, is a main subject of life history theory. Sensitivities or elasticities of matrix elements do not take this covariation into account. Integrated sensitivities and elasticities measure the net effect of a matrix element, combining its direct effect and indirect effects through correlation with other matrix elements. These measures are related to the selection differentials and expected selection responses from quantitative genetics. The use of these measures is illustrated with data on disease resistance in a perennial weed Plantago lanceolata, and the demography of killer whale pods. [KEYWORDS: Demography; killer whales; life history; matrix projections; population growth rate; selection differential; selection response Finding confidence-limits; growth rates; demography; selection; acquisition; parameters; allocation; elasticity; characters;resources] Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age-dependent survival or fecundity. Covariation among life cycle components, e.g., due to trade- offs, is a main subject of life history theory. Sensitivities or elasticities of matrix elements do not take this covariation into account. Integrated sensitivities and elasticities measure the net effect of a matrix element, combining its direct effect and indirect effects through correlation with other matrix elements. These measures are related to the selection differentials and expected selection responses from quantitative genetics. The use of ... Article in Journal/Newspaper Killer Whale Killer whale KNAW: Research Explorer (Royal Netherlands Academy of Arts and Sciences) Ecology 76 8 2482 2489 |
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Open Polar |
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KNAW: Research Explorer (Royal Netherlands Academy of Arts and Sciences) |
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ftknawnlpublic |
language |
English |
topic |
NIOO/CTE/PVP |
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NIOO/CTE/PVP Van Tienderen, P.H. Life-Cycle Trade-Offs in Matrix Population-Models |
topic_facet |
NIOO/CTE/PVP |
description |
Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age-dependent survival or fecundity. Covariation among life cycle components, e.g., due to trade- offs, is a main subject of life history theory. Sensitivities or elasticities of matrix elements do not take this covariation into account. Integrated sensitivities and elasticities measure the net effect of a matrix element, combining its direct effect and indirect effects through correlation with other matrix elements. These measures are related to the selection differentials and expected selection responses from quantitative genetics. The use of these measures is illustrated with data on disease resistance in a perennial weed Plantago lanceolata, and the demography of killer whale pods. [KEYWORDS: Demography; killer whales; life history; matrix projections; population growth rate; selection differential; selection response Finding confidence-limits; growth rates; demography; selection; acquisition; parameters; allocation; elasticity; characters;resources] Matrix projections allow identification of those phases in the life cycle with a high potential impact on the population growth rate. This impact is assessed by the sensitivity or elasticity of the matrix elements that are computed from life cycle data such as age-dependent survival or fecundity. Covariation among life cycle components, e.g., due to trade- offs, is a main subject of life history theory. Sensitivities or elasticities of matrix elements do not take this covariation into account. Integrated sensitivities and elasticities measure the net effect of a matrix element, combining its direct effect and indirect effects through correlation with other matrix elements. These measures are related to the selection differentials and expected selection responses from quantitative genetics. The use of ... |
format |
Article in Journal/Newspaper |
author |
Van Tienderen, P.H. |
author_facet |
Van Tienderen, P.H. |
author_sort |
Van Tienderen, P.H. |
title |
Life-Cycle Trade-Offs in Matrix Population-Models |
title_short |
Life-Cycle Trade-Offs in Matrix Population-Models |
title_full |
Life-Cycle Trade-Offs in Matrix Population-Models |
title_fullStr |
Life-Cycle Trade-Offs in Matrix Population-Models |
title_full_unstemmed |
Life-Cycle Trade-Offs in Matrix Population-Models |
title_sort |
life-cycle trade-offs in matrix population-models |
publishDate |
1995 |
url |
https://pure.knaw.nl/portal/en/publications/1141e007-cc5c-4629-978a-d1b6274e1451 https://doi.org/10.2307/2265822 https://hdl.handle.net/20.500.11755/1141e007-cc5c-4629-978a-d1b6274e1451 |
genre |
Killer Whale Killer whale |
genre_facet |
Killer Whale Killer whale |
op_source |
Van Tienderen , P H 1995 , ' Life-Cycle Trade-Offs in Matrix Population-Models ' , Ecology , vol. 76 , no. 8 , pp. 2482-2489 . https://doi.org/10.2307/2265822 |
op_relation |
https://pure.knaw.nl/portal/en/publications/1141e007-cc5c-4629-978a-d1b6274e1451 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.2307/226582220.500.11755/1141e007-cc5c-4629-978a-d1b6274e1451 |
container_title |
Ecology |
container_volume |
76 |
container_issue |
8 |
container_start_page |
2482 |
op_container_end_page |
2489 |
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1797586356721942528 |