Hi Bob,
Happy to hear that you like anvi'o.
Would you consider doing a co-assembly of your metagenomic time series?
This way, you would have a single fasta file (and contigs.db) but multiple BAM files from the mapping of each sample. It is the workflow we routinely use and it works pretty well in most scenarios (except if your samples have almost nothing in common, which is unusual for a timeseries).
If you want to keep working on your single assemblies, then the only way to merge the scaffolds would be renaming headers first, and then concatenate. However, one issue is the fact that multiple scaffolds might overlap (i.e., same part of a genome). It would dilute mapping signal and render the analysis noisy and difficult. Another alternative would be to not merge fasta files but use all metagenomic samples for mapping to each fasta file. This way, you can recover genomes using differential coverage from each fasta file, and then maybe use a pangenomic workflow to identify redundant genomes in your collection.
Hope it helps,
Tom