Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays
Chronic overfishing has depleted numerous elasmobranch stocks in the North East Atlantic, but addressing this issue has been hampered by management complications and lacking data. Spatial management approaches have thus been advocated. This work presents a novel application and further development o...
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ftdoajarticles:oai:doaj.org/article:88fb877dd1854fbb837ca79721f47436 2023-05-15T17:38:27+02:00 Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays Simon Dedman Rick Officer Deirdre Brophy Maurice Clarke David G. Reid 2017-08-01T00:00:00Z https://doi.org/10.3390/fishes2030012 https://doaj.org/article/88fb877dd1854fbb837ca79721f47436 EN eng MDPI AG https://www.mdpi.com/2410-3888/2/3/12 https://doaj.org/toc/2410-3888 2410-3888 doi:10.3390/fishes2030012 https://doaj.org/article/88fb877dd1854fbb837ca79721f47436 Fishes, Vol 2, Iss 3, p 12 (2017) boosted regression trees BRT elasmobranch marine protected area MPA nursery area spawning ground ray Biology (General) QH301-705.5 Genetics QH426-470 article 2017 ftdoajarticles https://doi.org/10.3390/fishes2030012 2022-12-31T03:05:58Z Chronic overfishing has depleted numerous elasmobranch stocks in the North East Atlantic, but addressing this issue has been hampered by management complications and lacking data. Spatial management approaches have thus been advocated. This work presents a novel application and further development of an advanced spatial modeling technique to identify candidate nursery grounds and spawning areas for conservation, by subsetting already limited data. Boosted Regression Tree models are used to predict abundance of juvenile and mature female cuckoo (Leucoraja naevus), thornback (Raja clavata), blonde (Raja brachyura), and spotted (Raja montagui) rays in the Irish Sea using fish survey data and data describing fishing pressure, predation and environmental variables. Model-predicted spatial abundance maps of these subsets reveal distinct nuances in species distributions with greater predictive power than maps of the whole stock. These resulting maps are then integrated into a single easily understood map using a novel approach, standardizing and facilitating the spatial management of data-limited fish stocks. Article in Journal/Newspaper North East Atlantic Directory of Open Access Journals: DOAJ Articles Fishes 2 3 12 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
boosted regression trees BRT elasmobranch marine protected area MPA nursery area spawning ground ray Biology (General) QH301-705.5 Genetics QH426-470 |
spellingShingle |
boosted regression trees BRT elasmobranch marine protected area MPA nursery area spawning ground ray Biology (General) QH301-705.5 Genetics QH426-470 Simon Dedman Rick Officer Deirdre Brophy Maurice Clarke David G. Reid Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
topic_facet |
boosted regression trees BRT elasmobranch marine protected area MPA nursery area spawning ground ray Biology (General) QH301-705.5 Genetics QH426-470 |
description |
Chronic overfishing has depleted numerous elasmobranch stocks in the North East Atlantic, but addressing this issue has been hampered by management complications and lacking data. Spatial management approaches have thus been advocated. This work presents a novel application and further development of an advanced spatial modeling technique to identify candidate nursery grounds and spawning areas for conservation, by subsetting already limited data. Boosted Regression Tree models are used to predict abundance of juvenile and mature female cuckoo (Leucoraja naevus), thornback (Raja clavata), blonde (Raja brachyura), and spotted (Raja montagui) rays in the Irish Sea using fish survey data and data describing fishing pressure, predation and environmental variables. Model-predicted spatial abundance maps of these subsets reveal distinct nuances in species distributions with greater predictive power than maps of the whole stock. These resulting maps are then integrated into a single easily understood map using a novel approach, standardizing and facilitating the spatial management of data-limited fish stocks. |
format |
Article in Journal/Newspaper |
author |
Simon Dedman Rick Officer Deirdre Brophy Maurice Clarke David G. Reid |
author_facet |
Simon Dedman Rick Officer Deirdre Brophy Maurice Clarke David G. Reid |
author_sort |
Simon Dedman |
title |
Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
title_short |
Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
title_full |
Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
title_fullStr |
Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
title_full_unstemmed |
Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays |
title_sort |
advanced spatial modeling to inform management of data-poor juvenile and adult female rays |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/fishes2030012 https://doaj.org/article/88fb877dd1854fbb837ca79721f47436 |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
Fishes, Vol 2, Iss 3, p 12 (2017) |
op_relation |
https://www.mdpi.com/2410-3888/2/3/12 https://doaj.org/toc/2410-3888 2410-3888 doi:10.3390/fishes2030012 https://doaj.org/article/88fb877dd1854fbb837ca79721f47436 |
op_doi |
https://doi.org/10.3390/fishes2030012 |
container_title |
Fishes |
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2 |
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3 |
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12 |
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1766138902933929984 |