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Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees

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Leathwick, JR, Elith, J, Francis, MP, Hastie, T, Taylor, P·2006·Marine Ecology Progress Series

Abstract

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 321:267-281 (2006) - doi:10.3354/meps321267 Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees J. R. Leathwick1,*, J. Elith2, M. P. Francis3, T. Hastie4, P. Taylor1 1National Institute of Water and Atmospheric Research, PO Box 11115, Hamilton, New Zealand 2School of Botany, University of Melbourne, Parkville 3010, Victoria, Australia 3National Institute of Water and Atmospheric Research, Private Bag 14901, Wellington, New Zealand 4Sequoia Hall, Stanford University, Stanford, California 94305-4065, USA *Email: j.leathwick@niwa.co.nz ABSTRACT: We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were carried out using both generalised additive models and boosted regression trees (sometimes referred to as ‘stochastic gradient boosting’). Depth was the single most important environmental predictor of variation in species richness, with highest richness occurring at depths of 900 to 1000 m, and with a broad plateau of moderately high richness between 400 and 1100 m. Richness was higher both in waters with high surface concentrations of chlorophyll a and in zones of mixing of water bodies of contrasting origins. Local variation in temperature was also important, with lower richness occurring in waters that were cooler than expected given their depth. Variables describing trawl length, trawl speed, and cod-end mesh size made a substantial contribution to analysis outcomes, even though functions fitted for trawl distance and cod-end mesh size were constrained to reflect the known performance of trawl gear. Species richness declined with increasing cod-end mesh size and increasing trawl speed, but increased with increasing trawl distance, reaching a plateau once trawl distances exceed about 3 nautical miles. Boosted regression trees provided a powerful analysis tool, giving substantially superior predictive performance to generalized additive models, despite the fitting of interaction terms in the latter. KEY WORDS: Demersal fish · Species richness · Boosted regression trees · Statistical model Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 321. Online publication date: September 08, 2006 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2006 Inter-Research.

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Metadata

Authors
Leathwick, Jr., Elith, J., Francis, M., Hastie, T., & Taylor, P.
Venue
Marine Ecology Progress Series
Published
2006-09-08
Volume
321
Pages
267-281
ISSN
  • 0171-8630 (ISSN-L)
  • 1616-1599
OpenAlex
W2026257972
Cited by
570
References
4
FWCI
15.21
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. https://app.cochat.ai/papers/10.3354/meps321267
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Leathwick, Jr., Elith, J., Francis, M., Hastie, T., & Taylor, P. (2006). Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. Marine Ecology Progress Series. https://doi.org/10.3354/meps321267

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