CAGED: A cross-ecosystem synthesis exploring the consequences of consumer loss on community variability
Principal Investigators:
- Jamie McDevitt-Irwin
- Kelly Speare
- Sally Koerner
000_group-member-shortcut-- Download raw data, the data key, site-level metadata, or tidy outputs of core workflow scripts from the group's Shared Drive- Requires access to Drive & authentication with the
googledriveR package
- Requires access to Drive & authentication with the
00_setup-- Do all setup tasks used by 2 or more other scripts (e.g., create folders)01_harmonize-- Standardize all raw data format using data key and combine into single output- See
?ltertools::standardizefor details
- See
02_quality-control-- Do general QC of data- E.g., standardize treatments/dates, ensure unique design level designations, identify study years
03_filter-- Remove rows that are not useful for the current project scope- E.g., all but last year of sampling, no confounding treatments
04_zero-fill-- Zero fill community data- Assumes any taxon identified in only one replicate of an experiment is truly absent from other reps of the same experiment
05-A_calc-beta-- Calculate beta dispersion at various spatial/temporal scales05-B_calc-gamma-- Calculate gamma diversity within experiment across and within treatment05-C_calc-alpha-- Calculate alpha diversity (richness) at all design levels05-D_calc-dominance-- Calculate dominance (Berger Parker) at all design levels06-A_compare-treat-mean-beta-- Calculate mean difference and log response ratios (LRR) between caging treatment beta dispersions06-B_compare-treat-gamma-- Calculate difference & LRR for between caging treatment gamma richness06-C_compare-treat-alpha-- Calculate difference & LRR for between caging treatment alpha diversity (i.e., richness)06-D_compare-treat-dominance-- Calculate difference & LRR for between caging treatment dominance07_tidy-metadata-- Do QC on metadata file and check for mismatches with beta dispersion data08-A_join-data-- Join site-level metadata, beta dispersion (un-averaged), gamma richnes, alpha richness, and dominance08-B_join-effect-sizes-- Join site-level metadata, treament/experiment means of beta dispersion, alpha diversity, gamma richness, and dominance09_prepare-for-stats-- Calculate effect size and streamline data to only bits needed for current analysis10a_raw-data-figs--10b_sample-size--10c_stats--99_upload-- Upload outputs of core workflow to Drive (file size-permitting)
- LTER Scientific Computing Team website
- NCEAS' Resources for Working Groups
- CAGED Working Group Shared Drive