Individual covariation in life-history traits: Seeing the trees despite the forest

被引:308
|
作者
Cam, E [1 ]
Link, WA
Cooch, EG
Monnat, JY
Danchin, E
机构
[1] US Geol Survey, Patuxent Wildlife Res Ctr, Laurel, MD 20708 USA
[2] Univ Bretagne Occidentale, Lab Biol Anim, F-29285 Brest, France
[3] Cornell Univ, Dept Nat Resources, Ithaca, NY 14853 USA
[4] Univ Rennes 1, CNRS, UMR 6553, Fonctionnement Ecosyst & Biol Conservat, F-35042 Rennes, France
[5] Univ Paris 06, Ecol Lab, CNRS, UMR 7625, F-75252 Paris 05, France
来源
AMERICAN NATURALIST | 2002年 / 159卷 / 01期
关键词
age; bivariate latent factors models; breeding probability; individual heterogeneity; within-cohort phenotypic selection; survival probability;
D O I
10.1086/324126
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We investigated the influence of age on survival and breeding rates in a long-lived species Rissa tridactyla using models with individual random effects permitting variation and covariation in fitness components among individuals. Differences in survival or breeding probabilities among individuals are substantial, and there was positive covariation between survival and breeding probability; birds that were more likely to survive were also more likely to breed, given that they survived. The pattern of age-related variation in these rates detected at the individual level differed from that observed at the population level. Our results provided confirmation of what has been suggested by other investigators: within-cohort phenotypic selection can mask senescence. Although this phenomenon has been extensively studied in humans and captive animals, conclusive evidence of the discrepancy between population-level and individual-level patterns of age-related variation in life-history traits is extremely rare in wild animal populations. Evolutionary studies of the influence of age on life-history traits should use approaches differentiating population level from the genuine influence of age: only the latter is relevant to theories of life-history evolution. The development of models permitting access to individual variation in fitness is a promising advance for the study of senescence and evolutionary processes.
引用
收藏
页码:96 / 105
页数:10
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