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1.
Ecology ; 96(12): 3303-11, 2015 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-26909435

RESUMO

Explaining variability in offspring vs. adult size among groups is a necessary step to determine the evolutionary and environmental constraints shaping variability in life history strategies. This is of particular interest for life in the ocean where a diversity of offspring development strategies is observed along with variability in physical and biological forcing factors in space and time. We compiled adult and offspring size for 407 pelagic marine species covering more than 17 orders of magnitude in body mass including Cephalopoda, Cnidaria, Crustaceans, Ctenophora, Elasmobranchii, Mammalia, Sagittoidea, and Teleost. We find marine life following one of two distinct strategies, with offspring size being either proportional to adult size (e.g., Crustaceans, Elasmobranchii, and Mammalia) or invariant with adult size (e.g., Cephalopoda, Cnidaria, Sagittoidea, Teleosts, and possibly Ctenophora). We discuss where these two strategies occur and how these patterns (along with the relative size of the offspring) may be shaped by physical and biological constraints in the organism's environment. This adaptive environment along with the evolutionary history of the different groups shape observed life history strategies and possible group-specific responses to changing environmental conditions (e.g., production and distribution).


Assuntos
Envelhecimento , Peixes/crescimento & desenvolvimento , Invertebrados/crescimento & desenvolvimento , Mamíferos/crescimento & desenvolvimento , Oceanos e Mares , Animais , Evolução Biológica , Peixes/fisiologia , Invertebrados/fisiologia , Mamíferos/fisiologia
2.
J Evol Biol ; 23(3): 447-62, 2010 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-20088870

RESUMO

Sexual selection can explain major micro- and macro-evolutionary patterns. Much of current theory predicts that the strength of sexual selection (i) is driven by the relative abundance of males and females prepared to mate (i.e. the operational sex ratio, OSR) and (ii) can be generally estimated by calculating intra-sexual variation in mating success (e.g. the opportunity for sexual selection, I(s)). Here, we demonstrate the problematic nature of these predictions. The OSR and I(s) only accurately predict sexual selection under a limited set of circumstances, and more specifically, only when mate monopolization is extremely strong. If mate monopolization is not strong, using OSR or I(s) as proxies or measures of sexual selection is expected to produce spurious results that lead to the false conclusion that sexual selection is strong when it is actually weak. These findings call into question the validity of empirical conclusions based on these measures of sexual selection.


Assuntos
Modelos Genéticos , Seleção Genética , Caracteres Sexuais , Razão de Masculinidade , Animais , Feminino , Masculino
3.
Ann Rev Mar Sci ; 8: 217-41, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26163011

RESUMO

The size of an individual organism is a key trait to characterize its physiology and feeding ecology. Size-based scaling laws may have a limited size range of validity or undergo a transition from one scaling exponent to another at some characteristic size. We collate and review data on size-based scaling laws for resource acquisition, mobility, sensory range, and progeny size for all pelagic marine life, from bacteria to whales. Further, we review and develop simple theoretical arguments for observed scaling laws and the characteristic sizes of a change or breakdown of power laws. We divide life in the ocean into seven major realms based on trophic strategy, physiology, and life history strategy. Such a categorization represents a move away from a taxonomically oriented description toward a trait-based description of life in the oceans. Finally, we discuss life forms that transgress the simple size-based rules and identify unanswered questions.


Assuntos
Bactérias/crescimento & desenvolvimento , Biologia Marinha , Baleias/crescimento & desenvolvimento , Animais , Ecossistema , Modelos Biológicos
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