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Data from: The guantitative genetics of sexually selected traits, preferred traits and preference: a review and analysis of the data
负责人:
关键词:
preferred traits;sexual selection;preference;Mate choice;heritability
DOI:
doi:10.5061/dryad.7tv47
摘要:
of nonsexually selected traits overall or when separated into the three trait categories: behavioural, morphological and physiological. In contrast with previous
Data from: Optimising trait and source selection for explaining occurrence and abundance changes: a case study using British Butterflies
负责人:
关键词:
occurence and abundance change;butterfly biogeography;functional-traits;resource-use;Holocene
DOI:
doi:10.5061/dryad.017vp2q
摘要:
functional traits have not comprehensively addressed issues about the quality of trait data sets used and the relative predictive power of different trait types
Data from: Assessing the joint behavior of species traits as filtered by environment
负责人:
关键词:
Restio;Pelargonium;Erica;Protea;community assembly
DOI:
doi:10.5061/dryad.2vk03
摘要:
ross environmental gradients. Customarily, models for traits given environment consider only trait means to predict species and functional diversity, as intra-taxon variability
Data from: Eutrophication and predation risk interact to affect sexual trait expression and mating success
负责人:
关键词:
life-history evolution;Hyalella;Phenotypic Plasticity;Selection - Sexual;predation;Amphipoda
DOI:
doi:10.5061/dryad.r471vs43
摘要:
Sexual traits are especially sensitive to low food resources. Other environmental parameters (e.g., predation) should also affect sexual trait
Data from: Antagonistic coevolution between quantitative and Mendelian traits
负责人:
关键词:
Red Queen dynamics;extinction;Coevolution;polygenic continuous trait;major-gene discrete trait;eco-evolutionary feedbacks
DOI:
doi:10.5061/dryad.7jq44
摘要:
ween quantitative and Mendelian traits). We examine consequences of antagonistic coevolution mediated by a quantitative predator trait and a Mendelian prey trait, suc
Data from: Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous
负责人:
关键词:
herbaceous plants;Holocene;plant traits
DOI:
doi:10.5061/dryad.251q438
摘要:
Correlations among plant traits often reflect important trade?offs or allometric relationships in biological functions like carbon gain, support
Data from: Variation in plant functional traits is best explained by the species identity: stability of trait based species ranking across meadow
负责人:
关键词:
Plant development and life-history traits;land use;leaf economics spectrum;interspecific variability;intraspecific variability;trait-based ranking;grassland;trait database
DOI:
doi:10.5061/dryad.v870905
摘要:
1. It is commonly assumed in trait-based studies that plant functional traits are species-specific, being more variable among species than among dif
Data from: Are ecophysiological adaptive traits decoupled from leaf economics traits in wetlands?
负责人:
关键词:
ecosystem functioning;leaf economics spectrum;plant adaptive strategy;wetland ecology;ecophysiology;trait-based method;wetland adaptation traits
DOI:
doi:10.5061/dryad.4v1s6b5
摘要:
Wetland plants have developed a suite of traits, such as aerenchyma, radial oxygen loss, and leaf gas films, to adapt to wetland environment feature
Data from: Multi-trait mimicry and the relative salience of individual traits
负责人:
关键词:
salience;imperfect mimicry;overshadowing;multicomponent signals;generalization;discrimination learning
DOI:
doi:10.5061/dryad.ng785
摘要:
. We manipulated the relative salience of the traits of a two-trait artificial model prey, and subsequently tested the survival of mimics of the different traits
Data from: Life history differences in age-dependent expressions of multiple ornaments and behaviors in a lekking bird
负责人:
关键词:
Ecology: evolutionary;Lekking;Life history: aging;senescence;bird;Tetrao tetrix;long-term data;Life history: trade offs;Ecology: behavioral;Fitness
DOI:
doi:10.5061/dryad.rg8d4
摘要:
Age is a major factor explaining variation in life-history traits among individuals with typical patterns of increasing trait values early in life

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