WorldClim climate data analysis (Drosophilidae)

Knowledge graph centered on WorldClim climate data analysis (Drosophilidae) with 28 nodes and 103 connections. Top connected: Crested Butte, Engelmann Spruce, Pekania pennanti, Bacteria, Drosophila melanogaster.

Method synopsis

Principal component analysis of bioclimatic variables from WorldClim database to derive environmental predictors for population comparisons.

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 — Cold adaptation drives population genomic divergence in the ecological specialist, <i> Drosophila montana </i> (2021), Molecular Ecology. Implementations in other papers (listed below) may differ.

1. Climate data extraction and PCA
   Obtained representative climate data from WorldClim database for each D. montana population sampled for pool-seq, as well as for 18 additional populations. Downloaded climate data and extracted values corresponding to population coordinates using R package 'raster'. Performed principle component analysis (PCA) using 'PCA()' function from R package 'FactoMineR'. Principle components with eigenvalues >1 kept for further analysis.
   Quantities: 55 bioclimatic variables for 24 total populationsDuration: Not specifiedConditions: Computational analysis
   Equipment: R package 'raster', R package 'FactoMineR'

Typical Equipment

• R package raster
• R package FactoMineR

Output Measurements

• principal components of climate
• bioclimatic variables

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used