Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden
Abstract Aim Understanding spatial patterns of the distribution of adult native oyster, Ostrea edulis, and the invasive Magallana (Crassostrea) gigas is important for management of these populations. The aim of this study was to use ensemble SDM’s to (a) identify and predict conservation hotspots, (...
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ftdoajarticles:oai:doaj.org/article:99fb092afb814d5c8866acd0262cbe87 2023-05-15T15:58:33+02:00 Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden Per Bergström Linnea Thorngren Åsa Strand Mats Lindegarth 2021-05-01T00:00:00Z https://doi.org/10.1002/ece3.7451 https://doaj.org/article/99fb092afb814d5c8866acd0262cbe87 EN eng Wiley https://doi.org/10.1002/ece3.7451 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.7451 https://doaj.org/article/99fb092afb814d5c8866acd0262cbe87 Ecology and Evolution, Vol 11, Iss 10, Pp 5522-5532 (2021) conservation distribution ensemble modeling management oyster protection Ecology QH540-549.5 article 2021 ftdoajarticles https://doi.org/10.1002/ece3.7451 2022-12-31T10:20:10Z Abstract Aim Understanding spatial patterns of the distribution of adult native oyster, Ostrea edulis, and the invasive Magallana (Crassostrea) gigas is important for management of these populations. The aim of this study was to use ensemble SDM’s to (a) identify and predict conservation hotspots, (b) assess the current level of protection for O. edulis, and (c) quantify the amount of overlap between the two species where interactions with M. gigas are most likely. Location Skagerrak, Sweden. Methods We used data collected by video at depths from 0.5 to 10 m in 436 sites. Models of occurrence and densities >1 m−2 were fitted and assessed using ensemble methods (“biomod2” package). Models of high‐density hotspots were used to predict, map, and quantify areal extent of the species in order to assess the degree of overlap with protected areas and the potential for interactions between the two species. Results Both species were widely distributed in the region. Observations of high‐density habitats, mainly occurring at depths of ≈3 and 0.5 m for O. edulis and M. gigas, respectively, were found in 4% and 2% of the sites. Models provided useful predictions for both species (AUC = 0.85–0.99; sensitivity = 0.74–1.0; specificity = 0.72–0.97). High‐density areas occupy roughly 15 km2 each with substantial overlap between species. 50% of these are protected only by fisheries regulations, 44% are found in Natura 2000 reserves and 6% of the predicted O. edulis enjoys protection in a national park. Main conclusions Data collection by video in combination with SDM’s provides a realistic approach for large‐scale quantification of spatial patterns of marine population and habitats. O. edulis and M. gigas are common in the area, but a large proportion of the most valuable O. edulis habitats are not found in protected areas. The overlap between species suggests that efforts to manage the invasive M. gigas need to be integrated with management actions to conserve the native O. edulis. Article in Journal/Newspaper Crassostrea gigas Directory of Open Access Journals: DOAJ Articles Ecology and Evolution 11 10 5522 5532 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
conservation distribution ensemble modeling management oyster protection Ecology QH540-549.5 |
spellingShingle |
conservation distribution ensemble modeling management oyster protection Ecology QH540-549.5 Per Bergström Linnea Thorngren Åsa Strand Mats Lindegarth Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
topic_facet |
conservation distribution ensemble modeling management oyster protection Ecology QH540-549.5 |
description |
Abstract Aim Understanding spatial patterns of the distribution of adult native oyster, Ostrea edulis, and the invasive Magallana (Crassostrea) gigas is important for management of these populations. The aim of this study was to use ensemble SDM’s to (a) identify and predict conservation hotspots, (b) assess the current level of protection for O. edulis, and (c) quantify the amount of overlap between the two species where interactions with M. gigas are most likely. Location Skagerrak, Sweden. Methods We used data collected by video at depths from 0.5 to 10 m in 436 sites. Models of occurrence and densities >1 m−2 were fitted and assessed using ensemble methods (“biomod2” package). Models of high‐density hotspots were used to predict, map, and quantify areal extent of the species in order to assess the degree of overlap with protected areas and the potential for interactions between the two species. Results Both species were widely distributed in the region. Observations of high‐density habitats, mainly occurring at depths of ≈3 and 0.5 m for O. edulis and M. gigas, respectively, were found in 4% and 2% of the sites. Models provided useful predictions for both species (AUC = 0.85–0.99; sensitivity = 0.74–1.0; specificity = 0.72–0.97). High‐density areas occupy roughly 15 km2 each with substantial overlap between species. 50% of these are protected only by fisheries regulations, 44% are found in Natura 2000 reserves and 6% of the predicted O. edulis enjoys protection in a national park. Main conclusions Data collection by video in combination with SDM’s provides a realistic approach for large‐scale quantification of spatial patterns of marine population and habitats. O. edulis and M. gigas are common in the area, but a large proportion of the most valuable O. edulis habitats are not found in protected areas. The overlap between species suggests that efforts to manage the invasive M. gigas need to be integrated with management actions to conserve the native O. edulis. |
format |
Article in Journal/Newspaper |
author |
Per Bergström Linnea Thorngren Åsa Strand Mats Lindegarth |
author_facet |
Per Bergström Linnea Thorngren Åsa Strand Mats Lindegarth |
author_sort |
Per Bergström |
title |
Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
title_short |
Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
title_full |
Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
title_fullStr |
Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
title_full_unstemmed |
Identifying high‐density areas of oysters using species distribution modeling: Lessons for conservation of the native Ostrea edulis and management of the invasive Magallana (Crassostrea) gigas in Sweden |
title_sort |
identifying high‐density areas of oysters using species distribution modeling: lessons for conservation of the native ostrea edulis and management of the invasive magallana (crassostrea) gigas in sweden |
publisher |
Wiley |
publishDate |
2021 |
url |
https://doi.org/10.1002/ece3.7451 https://doaj.org/article/99fb092afb814d5c8866acd0262cbe87 |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_source |
Ecology and Evolution, Vol 11, Iss 10, Pp 5522-5532 (2021) |
op_relation |
https://doi.org/10.1002/ece3.7451 https://doaj.org/toc/2045-7758 2045-7758 doi:10.1002/ece3.7451 https://doaj.org/article/99fb092afb814d5c8866acd0262cbe87 |
op_doi |
https://doi.org/10.1002/ece3.7451 |
container_title |
Ecology and Evolution |
container_volume |
11 |
container_issue |
10 |
container_start_page |
5522 |
op_container_end_page |
5532 |
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1766394303518605312 |