Abstract:
: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, illustrate its potential using a large empirical dataset (bird records from Cape May, NJ, USA), and outline the circumstances under which these problems may be expected to emerge.
journal_name
PeerJjournal_title
PeerJauthors
Khalighifar A,Jiménez L,Nuñez-Penichet C,Freeman B,Ingenloff K,Jiménez-García D,Peterson Tdoi
10.7717/peerj.8872subject
Has Abstractpub_date
2020-05-13 00:00:00pages
e8872issn
2167-8359pii
8872journal_volume
8pub_type
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