Abstract:
:Reliable abundance estimates for species are fundamental in ecology, fisheries, and conservation. Consequently, predictive models able to provide reliable estimates for un- or poorly-surveyed locations would prove a valuable tool for management. Based on commonly used environmental and physical predictors, we developed predictive models of total fish abundance and of abundance by fish family for ten representative taxonomic families for the Great Barrier Reef (GBR) using multiple temporal scenarios. We then tested if models developed for the GBR (reference system) could predict fish abundances at Ningaloo Reef (NR; target system), i.e., if these GBR models could be successfully transferred to NR. Models of abundance by fish family resulted in improved performance (e.g., 44.1%
journal_name
PeerJjournal_title
PeerJauthors
Sequeira AMM,Mellin C,Lozano-Montes HM,Meeuwig JJ,Vanderklift MA,Haywood MDE,Babcock RC,Caley MJdoi
10.7717/peerj.4566subject
Has Abstractpub_date
2018-04-17 00:00:00pages
e4566issn
2167-8359pii
4566journal_volume
6pub_type
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