Although many selection estimates have been published, the environmental factors that cause selection to vary in space and time have rarely been identified. One way to identify these factors is by ex

NIAID Data Ecosystem50

Both species_Phenotypic selection_Blanco-Sanchez et al., 2023 EEB.xlsx

表型选择分析

进化生物学

Standardized phenotypic data to perform phenotypic selection analyses

NIAID Data Ecosystem20

Data from: Estimating the variation, autocorrelation, and environmental sensitivity of phenotypic selection

进化动力学

表型选择分析

Despite considerable interest in temporal and spatial variation of phenotypic selection, very few methods allow quantifying this variation while correctly accounting for the error variance of each ind

DataONE2015-07-15 更新60

The mean strength and direction of estimated direct phenotypic selection ( S -b ), selection on the focal trait while biomass was included as a covariate, on four traits of Gilia tricolor within year and habitat zone.

自然选择量化

进化生态学

Selection coefficients were calculated by separate bootstrapped separate generalized linear mixed models predicting relative fitness from standardized values of each trait. Plot was a random effect in

NIAID Data Ecosystem30

Data__PhenotypicSelectionGradients

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