Different proxies, different stories? Imperfect correlations and different determinants of fitness in bighorn sheep
Measuring individual fitness empirically is required to assess selective pressures and predict evolutionary changes in nature. There is, however, little consensus on how fitness should be empirically estimated. As fitness proxies vary in their underlying assumptions, their relative sensitivity to in...
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creator | Van De Walle, Joanie Larue, Benjamin Pigeon, Gabriel Pelletier, Fanie |
description | Measuring individual fitness empirically is required to assess selective
pressures and predict evolutionary changes in nature. There is, however,
little consensus on how fitness should be empirically estimated. As
fitness proxies vary in their underlying assumptions, their relative
sensitivity to individual, environmental, and demographic factors may also
vary. Here, using a long-term study, we aimed at identifying the
determinants of individual fitness in bighorn sheep (Ovis canadensis)
using seven fitness proxies. Specifically, we compared four-lifetime
fitness proxies: lifetime breeding success, lifetime reproductive success,
individual growth rate, and individual contribution to population growth,
and three multi-generational proxies: number of granddaughters, individual
descendance in the next generation, and relative genetic contribution to
the next generation. We found that all proxies were positively correlated,
but the magnitude of the correlations varied substantially. Longevity was
the main determinant of most fitness proxies. Individual fitness
calculated over more than one generation was also affected by population
density and growth rate. Because they are affected by contrasting factors,
our study suggests that different fitness proxies should not be used
interchangeably as they may convey different information about selective
pressures and lead to divergent evolutionary predictions. Uncovering the
mechanisms underlying variation in individual fitness and improving our
ability to predict evolutionary change might require the use of several,
rather than one, proxy of individual fitness. |
doi_str_mv | 10.5061/dryad.08kprr562 |
format | Dataset |
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pressures and predict evolutionary changes in nature. There is, however,
little consensus on how fitness should be empirically estimated. As
fitness proxies vary in their underlying assumptions, their relative
sensitivity to individual, environmental, and demographic factors may also
vary. Here, using a long-term study, we aimed at identifying the
determinants of individual fitness in bighorn sheep (Ovis canadensis)
using seven fitness proxies. Specifically, we compared four-lifetime
fitness proxies: lifetime breeding success, lifetime reproductive success,
individual growth rate, and individual contribution to population growth,
and three multi-generational proxies: number of granddaughters, individual
descendance in the next generation, and relative genetic contribution to
the next generation. We found that all proxies were positively correlated,
but the magnitude of the correlations varied substantially. Longevity was
the main determinant of most fitness proxies. Individual fitness
calculated over more than one generation was also affected by population
density and growth rate. Because they are affected by contrasting factors,
our study suggests that different fitness proxies should not be used
interchangeably as they may convey different information about selective
pressures and lead to divergent evolutionary predictions. Uncovering the
mechanisms underlying variation in individual fitness and improving our
ability to predict evolutionary change might require the use of several,
rather than one, proxy of individual fitness.</description><identifier>DOI: 10.5061/dryad.08kprr562</identifier><language>eng</language><publisher>Dryad</publisher><subject>bighorn sheep ; Fitness ; FOS: Biological sciences</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-5137-1851 ; 0000-0002-4608-9288</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5061/dryad.08kprr562$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Van De Walle, Joanie</creatorcontrib><creatorcontrib>Larue, Benjamin</creatorcontrib><creatorcontrib>Pigeon, Gabriel</creatorcontrib><creatorcontrib>Pelletier, Fanie</creatorcontrib><title>Different proxies, different stories? Imperfect correlations and different determinants of fitness in bighorn sheep</title><description>Measuring individual fitness empirically is required to assess selective
pressures and predict evolutionary changes in nature. There is, however,
little consensus on how fitness should be empirically estimated. As
fitness proxies vary in their underlying assumptions, their relative
sensitivity to individual, environmental, and demographic factors may also
vary. Here, using a long-term study, we aimed at identifying the
determinants of individual fitness in bighorn sheep (Ovis canadensis)
using seven fitness proxies. Specifically, we compared four-lifetime
fitness proxies: lifetime breeding success, lifetime reproductive success,
individual growth rate, and individual contribution to population growth,
and three multi-generational proxies: number of granddaughters, individual
descendance in the next generation, and relative genetic contribution to
the next generation. We found that all proxies were positively correlated,
but the magnitude of the correlations varied substantially. Longevity was
the main determinant of most fitness proxies. Individual fitness
calculated over more than one generation was also affected by population
density and growth rate. Because they are affected by contrasting factors,
our study suggests that different fitness proxies should not be used
interchangeably as they may convey different information about selective
pressures and lead to divergent evolutionary predictions. Uncovering the
mechanisms underlying variation in individual fitness and improving our
ability to predict evolutionary change might require the use of several,
rather than one, proxy of individual fitness.</description><subject>bighorn sheep</subject><subject>Fitness</subject><subject>FOS: Biological sciences</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjrsKAjEQRdNYiFrbzgfouqsodhY-0N4-xM1EB90kzEzh_r0PRGytLhzugWPMsCqLebmoJp5b54tyec3M88W0a2RDISBjVMic7oQyAv9FoomfaAWHJiMHrBXqxIw3p5SigIv-5-1RkRuKLqpAChBII4oARTjR-ZI4glwQc990grsJDj7bM5Pd9rjej71TV5OizUyN49ZWpX1l23e2_WbP_jceoBlXaQ</recordid><startdate>20221219</startdate><enddate>20221219</enddate><creator>Van De Walle, Joanie</creator><creator>Larue, Benjamin</creator><creator>Pigeon, Gabriel</creator><creator>Pelletier, Fanie</creator><general>Dryad</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-5137-1851</orcidid><orcidid>https://orcid.org/0000-0002-4608-9288</orcidid></search><sort><creationdate>20221219</creationdate><title>Different proxies, different stories? Imperfect correlations and different determinants of fitness in bighorn sheep</title><author>Van De Walle, Joanie ; Larue, Benjamin ; Pigeon, Gabriel ; Pelletier, Fanie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_5061_dryad_08kprr5623</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><topic>bighorn sheep</topic><topic>Fitness</topic><topic>FOS: Biological sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>Van De Walle, Joanie</creatorcontrib><creatorcontrib>Larue, Benjamin</creatorcontrib><creatorcontrib>Pigeon, Gabriel</creatorcontrib><creatorcontrib>Pelletier, Fanie</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Van De Walle, Joanie</au><au>Larue, Benjamin</au><au>Pigeon, Gabriel</au><au>Pelletier, Fanie</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Different proxies, different stories? Imperfect correlations and different determinants of fitness in bighorn sheep</title><date>2022-12-19</date><risdate>2022</risdate><abstract>Measuring individual fitness empirically is required to assess selective
pressures and predict evolutionary changes in nature. There is, however,
little consensus on how fitness should be empirically estimated. As
fitness proxies vary in their underlying assumptions, their relative
sensitivity to individual, environmental, and demographic factors may also
vary. Here, using a long-term study, we aimed at identifying the
determinants of individual fitness in bighorn sheep (Ovis canadensis)
using seven fitness proxies. Specifically, we compared four-lifetime
fitness proxies: lifetime breeding success, lifetime reproductive success,
individual growth rate, and individual contribution to population growth,
and three multi-generational proxies: number of granddaughters, individual
descendance in the next generation, and relative genetic contribution to
the next generation. We found that all proxies were positively correlated,
but the magnitude of the correlations varied substantially. Longevity was
the main determinant of most fitness proxies. Individual fitness
calculated over more than one generation was also affected by population
density and growth rate. Because they are affected by contrasting factors,
our study suggests that different fitness proxies should not be used
interchangeably as they may convey different information about selective
pressures and lead to divergent evolutionary predictions. Uncovering the
mechanisms underlying variation in individual fitness and improving our
ability to predict evolutionary change might require the use of several,
rather than one, proxy of individual fitness.</abstract><pub>Dryad</pub><doi>10.5061/dryad.08kprr562</doi><orcidid>https://orcid.org/0000-0002-5137-1851</orcidid><orcidid>https://orcid.org/0000-0002-4608-9288</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.5061/dryad.08kprr562 |
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language | eng |
recordid | cdi_datacite_primary_10_5061_dryad_08kprr562 |
source | DataCite |
subjects | bighorn sheep Fitness FOS: Biological sciences |
title | Different proxies, different stories? Imperfect correlations and different determinants of fitness in bighorn sheep |
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