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

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Bibliographic Details
Title: Inventory statistics meet big data: complications for estimating numbers of species.
Authors: Khalighifar A; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA., Jiménez L; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA., Nuñez-Penichet C; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA., Freeman B; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA., Ingenloff K; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA., Jiménez-García D; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Centro de Agroecología y Ambiente, Benemerita Universidad Autónoma de Puebla, Puebla, Puebla, Mexico., Peterson T; Biodiversity Institute, University of Kansas, Lawrence, KS, USA.; Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA.
Source: PeerJ [PeerJ] 2020 May 13; Vol. 8, pp. e8872. Date of Electronic Publication: 2020 May 13 (Print Publication: 2020).
Publication Type: Journal Article
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Print ISSN: 2167-8359 (Print) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2167-8359
DOI:10.7717/peerj.8872