Fisher-Pearson standardized third-moment coefficient (Animalia)

Knowledge graph centered on Fisher-Pearson standardized third-moment coefficient (Animalia) with 14 nodes and 31 connections. Top connected: phenological mismatch, plant-pollinator mutualism, Bees per person hour sampling, Flowering phenology census, Skewness in bee and flower phenological distributi.

Method synopsis

Calculation of the standardized third-moment coefficient of skewness from phenological abundance distributions. This approach quantifies asymmetry in phenological timing without assuming distributional form.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Skewness in bee and flower phenological distributions (2023), Ecology. Implementations in other papers (listed below) may differ.

1. Skewness calculation
   Skewness was calculated as the Fisher-Pearson standardized third-moment coefficient of skewness (g1) using the moments R package for each site/year/species phenological abundance distribution (i.e., frequencies of bee and flower abundance by date). This approach uses only the data and avoids making assumptions about functional form necessary for more complex model fitting.
   Quantities: Calculated for 2754 flower time series and 480 bee time series, representing 92 plant species across 71 genera and 49 bee species/castes across 14 generaDuration: Applied to all qualifying time seriesConditions: Used only data points, avoided functional form assumptions
   Equipment: moments R package

Typical Equipment

• moments R package

Output Measurements

• skewness coefficients (g1)

Papers Using This Protocol (1)