Inventory statistics meet big data: complications for estimating numbers of species.
Ontology highlight
ABSTRACT:
SUBMITTER: Khalighifar A
PROVIDER: S-EPMC7229767 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Inventory statistics meet big data: complications for estimating numbers of species.
Khalighifar Ali A Jiménez Laura L Nuñez-Penichet Claudia C Freeman Benedictus B Ingenloff Kate K Jiménez-García Daniel D Peterson Town T
PeerJ 20200513
We point out complications inherent in biodiversity inventory metrics when applied to large-scale datasets. The number of units of inventory effort (e.g., days of inventory effort) in which a species is detected saturates, such that crucial numbers of detections of rare species approach zero. Any rare errors can then come to dominate species richness estimates, creating upward biases in estimates of species numbers. We document the problem via simulations of sampling from virtual biotas, illustr ...[more]
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