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Data from: Independence among physiological traits suggests flexibility in the face of ecological demands on phenotypes
负责人:
关键词:
Calidris canutus;Phenotypic Plasticity;Birds;Evolutionary physiology
DOI:
doi:10.5061/dryad.4q6f1
摘要:
ned, we predict consistent covariation within and among individuals. We further predict consistent correlations between physiological and metabolic trai
Data from: Predicting the response to simultaneous selection: genetic architecture and physiological constraints
负责人:
关键词:
physiological synergism;Manduca sexta;growth rate;Sphingidae;critical weight;physiological antagonism;interval to cessation of growth
DOI:
doi:10.5061/dryad.p462j4f3
摘要:
the growth rate. To determine how the physiological traits affect the response to selection of the life history traits, we simulated the predicted respons
Data from: Do immunological, endocrine and metabolic traits fall on a single Pace-of-Life axis? Covariation and constraints among physiological systems
负责人:
关键词:
Life History Evolution;Comparative studies;Birds;Evolutionary physiology;Adaptation;Saxicola torquata
DOI:
doi:10.5061/dryad.kf320
摘要:
s. The existence of a single axis has been attributed to constraints among physiological mechanisms that are thought to restrict evolutionary potential. In that cas
Data from: The quantitative genetics of physiological and morphological traits in an invasive terrestrial snail: additive versus
负责人:
关键词:
heritability non-additive genetic effects metabolic rate maternal effects
DOI:
doi:10.5061/dryad.nd3vs
摘要:
they are heritable and variable in populations. 2. Physiological traits of evolutionary relevance are those functional capacities measured at the whole
Data from: Biophysical dependences among functional wood traits
负责人:
关键词:
hydraulic traits;basic density;biomechanical traits;wood traits
DOI:
doi:10.5061/dryad.t775334
摘要:
theoretical models picture basic physical constraints and thus provide null-hypotheses for further ecological studies. Analysis is applied to data from
Data from: Leaf economics spectrum in rice: Leaf anatomical, biochemical and physiological trait trade-offs
负责人:
Xiong, Dongliang
关键词:
Leaf economics spectrum mesophyll conductance mesophyll structure nitrogen photosynthesis photosynthetic limitation
DOI:
doi:10.5061/dryad.6060q21
摘要:
The leaf economics spectrum (LES) is an eco-physiological concept describing the trade-offs of leaf structural, and physiological traits, that ha
Data from: Patterns of thermal constraint on ectotherm activity
负责人:
关键词:
climate change;Ecology: thermal;Behavior;Ecology: physiological;Physiology: thermal;Ecology: behavioral;lizards
DOI:
doi:10.5061/dryad.48vb7
摘要:
t activity rates are more sensitive to temperature than are the physiological traits often used as a proxy for fitness. We present a model of thermal
Data from: Biophysical modeling of the temporal niche: from first principles to the evolution of activity patterns
负责人:
关键词:
Evolution: physiological;competition;Ecology: evolutionary;Interactions: coexistence;Desert;Acomys russatus;Ecology: physiological;Modeling: ecological;Physiology: thermal
DOI:
doi:10.5061/dryad.d2r5027j
摘要:
rohabitats in response to predation pressure and food availability involves a significant physiological cost moderated by midday reduction in activity. Thus adaptation
Data from: Trade-offs between water loss and gas exchange influence habitat suitability of a woodland salamander
负责人:
关键词:
water loss;Plethodon metcalfi;trade-offs;acclimation;energy balance;Metabolism;salamander
DOI:
doi:10.5061/dryad.1r3s2
摘要:
ted physiological traits. Interactions between physiological traits might result in trade-offs that undermine whole-organism performance if the change in a related trai
Data from: The evolution of bet hedging in response to local ecological conditions
负责人:
关键词:
competition;Ecology: evolutionary;Life history;Life history: evolution;bet hedging;Stochastic environments;Ecology: population;Life history: theory;Curculio elephas;Adaptation;Fitness
DOI:
doi:10.5061/dryad.g7jq6
摘要:
environmental perturbations of the underlying physiological mechanism. Using a model that includes these constraints, we predict the whole distribution of dormancy frequencies

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