Inventory statistics meet big data: complications for estimating numbers of species.

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

PeerJ

journal_title

PeerJ

authors

Khalighifar A,Jiménez L,Nuñez-Penichet C,Freeman B,Ingenloff K,Jiménez-García D,Peterson T

doi

10.7717/peerj.8872

subject

Has Abstract

pub_date

2020-05-13 00:00:00

pages

e8872

issn

2167-8359

pii

8872

journal_volume

8

pub_type

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