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• W2523883325 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 560:223-235 (2016) - DOI: https://doi.org/10.3354/meps11901 Predicting spawning locations and modelling the spatial extent of post hatch areas for fishes in a shallow coastal habitat in South Africa Paula Pattrick1,4,*, Nadine A. Strydom1, Linda Harris1,2, Wayne S. Goschen2,3 1Department of Zoology, Nelson Mandela Metropolitan University, PO Box 77000, Port Elizabeth 6031, South Africa 2Coastal and Marine Research Unit, Nelson Mandela Metropolitan University, PO Box 77000, Port Elizabeth 6031, South Africa 3South African Environmental Observation Network (SAEON), Elwandle Node, PO Box 77000, Port Elizabeth 6031, South Africa 4Present address: South African Institute for Aquatic Biodiversity, Private Bay 1015, Grahamstown 6140, South Africa *Corresponding author: paula.pattrick@gmail.com ABSTRACT: Early studies within Algoa Bay, temperate South Africa, have predicted that coastal fish species with pelagic eggs spawn offshore. More recent studies on larval fish assemblages in the nearshore have shown that spawning may take place closer to shore based on the prevalence of preflexion larvae. The aim of the present study was to investigate whether species that are important from a fishery and ecological perspective are potentially spawning in Algoa Bay. Larval fish abundance data, from a mosaic of coastal habitats in Algoa Bay, were used to model (1) the spatial distribution of larvae and (2) the spawning location of species. A novel approach using a maximum entropy machine-learning algorithm to model larval distribution was coupled with reverse progressive vector plots (RPVPs) to predict potential spawning areas. The results demonstrated that larval fishes in the nearshore habitats of Algoa Bay exhibit species-specific spatial variability. Results from RPVPs indicate that larvae occurring at any location within Algoa Bay could be hatched and transported extensively within the bay before reaching a suitable size to swim independently of nearshore currents. The spawning of several important fishery species, namely Engraulis encrasicolus (Engraulidae), Sardinops sagax (Clupeidae) and Argyrosomus inodorus (Sciaenidae), was modelled in Algoa Bay. Our results indicate that spawning occurs closer to shore than what was previously thought. Eggs and larvae typically remained in close proximity to their spawning origin. Larval fish distributions, although variable amongst all study species, correspond to known adult distributions and potential reef habitats in the study region. KEY WORDS: MaxEnt · Spawning origin · Species distribution modelling · Fish larvae · Reverse progressive vector plot · RPVP Full text in pdf format PreviousNextCite this article as: Pattrick P, Strydom NA, Harris L, Goschen WS (2016) Predicting spawning locations and modelling the spatial extent of post hatch areas for fishes in a shallow coastal habitat in South Africa. Mar Ecol Prog Ser 560:223-235. https://doi.org/10.3354/meps11901 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 560. Online publication date: November 24, 2016 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2016 Inter-Research." @default.
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• W2523883325 title "Predicting spawning locations and modelling the spatial extent of post hatch areas for fishes in a shallow coastal habitat in South Africa" @default.
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• W2523883325 doi "https://doi.org/10.3354/meps11901" @default.
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