SS Islam, B. Wringe, CM Conway, I. Bradbury, I. Fleming
{"title":"Fitness consequences of hybridization between wild Newfoundland and farmed European and North American Atlantic salmon","authors":"SS Islam, B. Wringe, CM Conway, I. Bradbury, I. Fleming","doi":"10.3354/aei00441","DOIUrl":"https://doi.org/10.3354/aei00441","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Kutti, E. Legrand, V. Husa, S. Olsen, Ø. Gjelsvik, M. Carvajalino‐Fernández, IA Johnsen
{"title":"Fish-farm effluents cause metabolic depression, reducing energy stores and growth in the reef forming coral Lophelia pertusa","authors":"T. Kutti, E. Legrand, V. Husa, S. Olsen, Ø. Gjelsvik, M. Carvajalino‐Fernández, IA Johnsen","doi":"10.3354/aei00442","DOIUrl":"https://doi.org/10.3354/aei00442","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MF Lavoie, É. Simard, A. Drouin, P. Archambault, L. Comeau, CW McKindsey
{"title":"Movement of american lobster Homarus americanus associated with offshore mussel Mytilus edulis aquaculture","authors":"MF Lavoie, É. Simard, A. Drouin, P. Archambault, L. Comeau, CW McKindsey","doi":"10.3354/aei00437","DOIUrl":"https://doi.org/10.3354/aei00437","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MK Holborn, S. Crowley, SJ Duffy, A. Messmer, T. Kess, J. Dempson, B. Wringe, I. Fleming, P. Bentzen, I. Bradbury
{"title":"Precocial male maturation contributes to the introgression of farmed Atlantic Salmon into wild populations","authors":"MK Holborn, S. Crowley, SJ Duffy, A. Messmer, T. Kess, J. Dempson, B. Wringe, I. Fleming, P. Bentzen, I. Bradbury","doi":"10.3354/aei00438","DOIUrl":"https://doi.org/10.3354/aei00438","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69595150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling salmon lice-induced mortality of wild salmon post-smolts is highly sensitive to calibration data","authors":"L. Stige, K. Helgesen, H. Viljugrein, L. Qviller","doi":"10.3354/aei00443","DOIUrl":"https://doi.org/10.3354/aei00443","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Martínez-Baena, BS Lanham, I. Mcleod, M. Taylor, S. Mcorrie, MJ Bishop
: Aquaculture industries have the capacity to produce positive ecosystem service benefits, such as the provision of habitat to wild animals. Oyster cultivation is the oldest and largest aquaculture industry in south-eastern Australia. Oyster spat are grown to marketable size in rack-and-rail (‘racks’) or longline-and-basket (‘baskets’) configurations, which add structure to estuarine waters. This study assessed: (1) how the fish communities associated with oyster farms vary with production method; (2) how communities of fish utilise oyster infrastructure, as compared to adjacent natural habitats; and (3) whether oyster infrastructure can serve as de facto oyster reefs by supporting similar fish communities. Remote underwater video surveys, conducted during summer and winter of 2 study years, revealed that fish observations and species richness were generally greater for rack than basket cultivation. Both types of oyster farms supported at least as many species of fish as adjacent natural habitats, including oyster reef, seagrass, mangrove and bare sediment. Fish communities were, in general, most similar between racks and baskets and most dissimilar between racks and bare sediments. Oyster farms supported species of fish otherwise limited to habitats with wild oysters, and unique harvested fish species were ob served more frequently at racks. Fish use of oyster-growing infrastructure for foraging and shelter mirrored use of natural biogenic habitats. Overall, this study suggests that the oyster aquaculture infrastructure can support fish communities with species composition similar to those of natural biogenic habitats, although this service is dependent on farming method. Ecosystem services provided by aqua-culture should be considered in estuarine habitat enhancement, conservation and restoration
{"title":"De-novo reefs: fish habitat provision by oyster aquaculture varies with farming method","authors":"F. Martínez-Baena, BS Lanham, I. Mcleod, M. Taylor, S. Mcorrie, MJ Bishop","doi":"10.3354/aei00431","DOIUrl":"https://doi.org/10.3354/aei00431","url":null,"abstract":": Aquaculture industries have the capacity to produce positive ecosystem service benefits, such as the provision of habitat to wild animals. Oyster cultivation is the oldest and largest aquaculture industry in south-eastern Australia. Oyster spat are grown to marketable size in rack-and-rail (‘racks’) or longline-and-basket (‘baskets’) configurations, which add structure to estuarine waters. This study assessed: (1) how the fish communities associated with oyster farms vary with production method; (2) how communities of fish utilise oyster infrastructure, as compared to adjacent natural habitats; and (3) whether oyster infrastructure can serve as de facto oyster reefs by supporting similar fish communities. Remote underwater video surveys, conducted during summer and winter of 2 study years, revealed that fish observations and species richness were generally greater for rack than basket cultivation. Both types of oyster farms supported at least as many species of fish as adjacent natural habitats, including oyster reef, seagrass, mangrove and bare sediment. Fish communities were, in general, most similar between racks and baskets and most dissimilar between racks and bare sediments. Oyster farms supported species of fish otherwise limited to habitats with wild oysters, and unique harvested fish species were ob served more frequently at racks. Fish use of oyster-growing infrastructure for foraging and shelter mirrored use of natural biogenic habitats. Overall, this study suggests that the oyster aquaculture infrastructure can support fish communities with species composition similar to those of natural biogenic habitats, although this service is dependent on farming method. Ecosystem services provided by aqua-culture should be considered in estuarine habitat enhancement, conservation and restoration","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Banno, H. Kaland, A. Crescitelli, SA Tuene, GH Aas, LC Gansel
: Aquaculture in open sea-cages attracts large numbers of wild fish. Such aggregations may have various impacts on farmed and wild fish, the environment, fish farming, and fisheries activities. Therefore, it is important to understand the patterns and amount of wild fish aggregations at aquaculture sites. In recent years, the use of artificial intelligence (AI) for automated detection of fish has seen major advancements, and this technology can be applied to wild fish abundance monitoring. We present a monitoring procedure that uses a combination of multiple cameras and automatic fish detection by AI. Wild fish in images collected around commercial salmon cages in Norway were automatically identified and counted by a system based on the real-time object detector framework YOLOv4, and the results were compared with manual human counts. Overall, the automatic system resulted in higher fish numbers than the manual counts. The performance of the system was satisfactory regarding false negatives (i.e. non-detected fish), while the false positive (i.e. objects wrongly detected as fish) rate was above 7%, which was considered an acceptable limit of error in comparison with the manual counts. The main causes of false positives were confusing backgrounds and mismatches between detection thresholds for automated and manual counts. However, these issues can be overcome by using training images that represent real scenarios (i.e. various backgrounds and fish densities) and setting proper detection thresholds. We present here a procedure with great potential for autonomous monitoring of wild fish abundance at aquaculture sites.
{"title":"A novel approach for wild fish monitoring at aquaculture sites: wild fish presence analysis using computer vision","authors":"K. Banno, H. Kaland, A. Crescitelli, SA Tuene, GH Aas, LC Gansel","doi":"10.3354/aei00432","DOIUrl":"https://doi.org/10.3354/aei00432","url":null,"abstract":": Aquaculture in open sea-cages attracts large numbers of wild fish. Such aggregations may have various impacts on farmed and wild fish, the environment, fish farming, and fisheries activities. Therefore, it is important to understand the patterns and amount of wild fish aggregations at aquaculture sites. In recent years, the use of artificial intelligence (AI) for automated detection of fish has seen major advancements, and this technology can be applied to wild fish abundance monitoring. We present a monitoring procedure that uses a combination of multiple cameras and automatic fish detection by AI. Wild fish in images collected around commercial salmon cages in Norway were automatically identified and counted by a system based on the real-time object detector framework YOLOv4, and the results were compared with manual human counts. Overall, the automatic system resulted in higher fish numbers than the manual counts. The performance of the system was satisfactory regarding false negatives (i.e. non-detected fish), while the false positive (i.e. objects wrongly detected as fish) rate was above 7%, which was considered an acceptable limit of error in comparison with the manual counts. The main causes of false positives were confusing backgrounds and mismatches between detection thresholds for automated and manual counts. However, these issues can be overcome by using training images that represent real scenarios (i.e. various backgrounds and fish densities) and setting proper detection thresholds. We present here a procedure with great potential for autonomous monitoring of wild fish abundance at aquaculture sites.","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69594357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MV Agnew, ML Groner, ME Eisenlord, CS Friedman, Catherine Burge
{"title":"Pacific oysters are a sink and potential source of the eelgrass pathogen, Labyrinthula zosterae","authors":"MV Agnew, ML Groner, ME Eisenlord, CS Friedman, Catherine Burge","doi":"10.3354/aei00446","DOIUrl":"https://doi.org/10.3354/aei00446","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69595112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aquaculture organic enrichment of cohesive and permeable marine sediments: assimilative capacity, geochemical indicators, variability, and impact classification","authors":"P. Cranford, L. Brager, B. Law","doi":"10.3354/aei00447","DOIUrl":"https://doi.org/10.3354/aei00447","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69595456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Feeding indicators and bioremediation ability of the warty sea cucumber Neostichopus grammatus fed various feeds and potential wastes from abalone Haliotis midae farming","authors":"AJ Onomu, M. Slater, N. Vine","doi":"10.3354/aei00449","DOIUrl":"https://doi.org/10.3354/aei00449","url":null,"abstract":"","PeriodicalId":8376,"journal":{"name":"Aquaculture Environment Interactions","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69595886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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