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, (...

Full description

Bibliographic Details
Main Authors: Per Bergström, Linnea Thorngren, Åsa Strand, Mats Lindegarth
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:Ecology and Evolution
Subjects:
Online Access:https://doi.org/10.1002/ece3.7451
id doaj-99fb092afb814d5c8866acd0262cbe87
record_format Article
spelling doaj-99fb092afb814d5c8866acd0262cbe872021-05-19T04:56:22ZengWileyEcology and Evolution2045-77582021-05-0111105522553210.1002/ece3.7451Identifying 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 SwedenPer Bergström0Linnea Thorngren1Åsa Strand2Mats Lindegarth3Department of Marine Sciences –Tjärnö University of Gothenburg Tjärnö SwedenDepartment of Marine Sciences –Tjärnö University of Gothenburg Tjärnö SwedenIVL Swedish Environmental Research Institute Fiskebäckskil SwedenDepartment of Marine Sciences –Tjärnö University of Gothenburg Tjärnö SwedenAbstract 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.https://doi.org/10.1002/ece3.7451conservationdistributionensemble modelingmanagementoysterprotection
collection DOAJ
language English
format Article
sources DOAJ
author Per Bergström
Linnea Thorngren
Åsa Strand
Mats Lindegarth
spellingShingle 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
Ecology and Evolution
conservation
distribution
ensemble modeling
management
oyster
protection
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
series Ecology and Evolution
issn 2045-7758
publishDate 2021-05-01
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.
topic conservation
distribution
ensemble modeling
management
oyster
protection
url https://doi.org/10.1002/ece3.7451
work_keys_str_mv AT perbergstrom identifyinghighdensityareasofoystersusingspeciesdistributionmodelinglessonsforconservationofthenativeostreaedulisandmanagementoftheinvasivemagallanacrassostreagigasinsweden
AT linneathorngren identifyinghighdensityareasofoystersusingspeciesdistributionmodelinglessonsforconservationofthenativeostreaedulisandmanagementoftheinvasivemagallanacrassostreagigasinsweden
AT asastrand identifyinghighdensityareasofoystersusingspeciesdistributionmodelinglessonsforconservationofthenativeostreaedulisandmanagementoftheinvasivemagallanacrassostreagigasinsweden
AT matslindegarth identifyinghighdensityareasofoystersusingspeciesdistributionmodelinglessonsforconservationofthenativeostreaedulisandmanagementoftheinvasivemagallanacrassostreagigasinsweden
_version_ 1721437062029115392