TABLE 1.
Implementation strategy | Subcategory | Compatibility with current standards | Backward and forward compatibility | Performance for monitoring programme | Potential biodiversity coveragea | Potential for spatiotemporal generalization | Ease of standardization |
---|---|---|---|---|---|---|---|
(A) Taxonomy‐based | Screening species | +++ | ++ | +++ | ++ | + | + |
(A) Taxonomy‐based | Screening bioindicators (for BIs) | +++ | ++ | ++ | + | + | + |
(B) De novo | Bioindicators discovery | — | — | — | +++ | ++ | + |
(B) De novo | Supervised learning and predictions | +++ | +++ | +++ | +++ | ++ | + |
(C) Structural community metrics | Alpha and phylogeny‐aware metrics | + (alpha diversity) | — | + | +++ | + | + |
(C) Structural community metrics | Co‐occurrence networks metrics | — | — | — | +++ | +++ | + |
(D) Functional community metrics | Functional genes/ transcripts | — | — | — | +++ | +++ | ++ |
Depends on molecular methodology, i.e., amplicon versus shotgun. If amplicon, it will depends on PCR primers targets, e.g., universal eukaryotes and prokaryptes versus group specific primers.