Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic)
Abandoned, lost, or discarded fishing gear (ALDFG), represents a significant percentage of the global plastic pollution, currently considered one of the major sources from sea-based activities. However, there is still limited understanding of the quantities of ALDFG present on the seafloor and their...
Published in: | Science of The Total Environment |
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Main Authors: | , , , , , , , , , , , , , , , , , |
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Elsevier
2023
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Online Access: | http://hdl.handle.net/10261/342301 https://doi.org/10.1016/j.scitotenv.2023.166579 https://doi.org/10.13039/501100010198 https://doi.org/10.13039/501100001871 https://doi.org/10.13039/501100004837 https://api.elsevier.com/content/abstract/scopus_id/85170049116 |
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Digital.CSIC (Spanish National Research Council) |
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English |
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ALDFG Cold-water corals Deep Sea Imagery Marine Litter Seafloor |
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ALDFG Cold-water corals Deep Sea Imagery Marine Litter Seafloor Duncan, Emily M Vieira, Nina González-Irusta, José Manuel Dominguez-Carrió, Carlos Morato, Telmo Carreiro-Silva, Marina Jakobsen, Joachim Jakobsen, Kirsten Porteiro, Filipe Schläpfer, Nina Herrera, Laura Ramos, Manuela Rodríguez, Yasmina Pereira, João M Fauconnet, Laurence Rodrigues, Luís Parra, Hugo Pham, Christopher K Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
topic_facet |
ALDFG Cold-water corals Deep Sea Imagery Marine Litter Seafloor |
description |
Abandoned, lost, or discarded fishing gear (ALDFG), represents a significant percentage of the global plastic pollution, currently considered one of the major sources from sea-based activities. However, there is still limited understanding of the quantities of ALDFG present on the seafloor and their impacts. In this study, data on the presence of ALDFG was obtained from a large archive of seafloor video footage (351 dives) collected by different imaging platforms in the Azores region over 15 years (2006-2020). Most ALDFG items observed in the images relate to the local bottom longline fishery operating in the region, and include longlines but also anchors, weights, cables and buoys. A generalized additive mixed model (GAMM) was used to predict the distribution and abundance of ALDFG over the seafloor within the limits of the Azores Exclusive Economic Zone (EEZ) using a suite of environmental and anthropogenic variables. We estimated an average of 113 ± 310 items km-2 (597 ± 756 per km-2 above 1000 m depth), which could imply that over 20 million ALDFG items are present on the deep seafloor of the Azores EEZ. The resulting model identified potential hotspots of ALDFG along the seabed, some of them located over sensitive benthic habitats, such as specific seamounts. In addition, the interactions between ALDFG and benthic organisms were also analysed. Numerous entanglements were observed with several species of large anthozoans and sponges. The use of predictive distribution modelling for ALDFG should be regarded as a useful tool to support ecosystem-based management, which can provide indirect information about fishing pressure and allow the identification of potential high-risk areas. Additional knowledge about the sources, amounts, fates and impacts of ALDFG will be key to address the global issue of plastic pollution and the effects of fishing on marine ecosystems. This work contributes to the PO2020 PLASTDEEP (ACORES-01-0145-FEDER-000125) and MapGES (Acores-01-0145-FEDER-000056) research projects and to the ... |
author2 |
Ministerio de Economía, Industria y Competitividad (España) Royal Netherlands Institute for Sea Research Ministerio de Ciencia e Innovación (España) Fundação para a Ciência e a Tecnologia (Portugal) Azorean Regional Fund for Science and Technology |
format |
Article in Journal/Newspaper |
author |
Duncan, Emily M Vieira, Nina González-Irusta, José Manuel Dominguez-Carrió, Carlos Morato, Telmo Carreiro-Silva, Marina Jakobsen, Joachim Jakobsen, Kirsten Porteiro, Filipe Schläpfer, Nina Herrera, Laura Ramos, Manuela Rodríguez, Yasmina Pereira, João M Fauconnet, Laurence Rodrigues, Luís Parra, Hugo Pham, Christopher K |
author_facet |
Duncan, Emily M Vieira, Nina González-Irusta, José Manuel Dominguez-Carrió, Carlos Morato, Telmo Carreiro-Silva, Marina Jakobsen, Joachim Jakobsen, Kirsten Porteiro, Filipe Schläpfer, Nina Herrera, Laura Ramos, Manuela Rodríguez, Yasmina Pereira, João M Fauconnet, Laurence Rodrigues, Luís Parra, Hugo Pham, Christopher K |
author_sort |
Duncan, Emily M |
title |
Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
title_short |
Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
title_full |
Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
title_fullStr |
Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
title_full_unstemmed |
Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) |
title_sort |
predicting the distribution and abundance of abandoned, lost or discarded fishing gear (aldfg) in the deep sea of the azores (north atlantic) |
publisher |
Elsevier |
publishDate |
2023 |
url |
http://hdl.handle.net/10261/342301 https://doi.org/10.1016/j.scitotenv.2023.166579 https://doi.org/10.13039/501100010198 https://doi.org/10.13039/501100001871 https://doi.org/10.13039/501100004837 https://api.elsevier.com/content/abstract/scopus_id/85170049116 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/678760 info:eu-repo/grantAgreement/EC/H2020/689518 info:eu-repo/grantAgreement/EC/H2020/818123 The Science of the total environment Publisher's version https://doi.org/10.1016/j.scitotenv.2023.166579 Sí Science of the Total Environment 900 : 166579 (2023) 0048-9697 http://hdl.handle.net/10261/342301 doi:10.1016/j.scitotenv.2023.166579 1879-1026 http://dx.doi.org/10.13039/501100010198 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100004837 37652373 2-s2.0-85170049116 https://api.elsevier.com/content/abstract/scopus_id/85170049116 |
op_rights |
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op_doi |
https://doi.org/10.1016/j.scitotenv.2023.16657910.13039/50110001019810.13039/50110000187110.13039/501100004837 |
container_title |
Science of The Total Environment |
container_volume |
900 |
container_start_page |
166579 |
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1802647906351579136 |
spelling |
ftcsic:oai:digital.csic.es:10261/342301 2024-06-23T07:55:20+00:00 Predicting the distribution and abundance of abandoned, lost or discarded fishing gear (ALDFG) in the deep sea of the Azores (North Atlantic) Duncan, Emily M Vieira, Nina González-Irusta, José Manuel Dominguez-Carrió, Carlos Morato, Telmo Carreiro-Silva, Marina Jakobsen, Joachim Jakobsen, Kirsten Porteiro, Filipe Schläpfer, Nina Herrera, Laura Ramos, Manuela Rodríguez, Yasmina Pereira, João M Fauconnet, Laurence Rodrigues, Luís Parra, Hugo Pham, Christopher K Ministerio de Economía, Industria y Competitividad (España) Royal Netherlands Institute for Sea Research Ministerio de Ciencia e Innovación (España) Fundação para a Ciência e a Tecnologia (Portugal) Azorean Regional Fund for Science and Technology 2023-08-29 http://hdl.handle.net/10261/342301 https://doi.org/10.1016/j.scitotenv.2023.166579 https://doi.org/10.13039/501100010198 https://doi.org/10.13039/501100001871 https://doi.org/10.13039/501100004837 https://api.elsevier.com/content/abstract/scopus_id/85170049116 en eng Elsevier #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/678760 info:eu-repo/grantAgreement/EC/H2020/689518 info:eu-repo/grantAgreement/EC/H2020/818123 The Science of the total environment Publisher's version https://doi.org/10.1016/j.scitotenv.2023.166579 Sí Science of the Total Environment 900 : 166579 (2023) 0048-9697 http://hdl.handle.net/10261/342301 doi:10.1016/j.scitotenv.2023.166579 1879-1026 http://dx.doi.org/10.13039/501100010198 http://dx.doi.org/10.13039/501100001871 http://dx.doi.org/10.13039/501100004837 37652373 2-s2.0-85170049116 https://api.elsevier.com/content/abstract/scopus_id/85170049116 open ALDFG Cold-water corals Deep Sea Imagery Marine Litter Seafloor artículo http://purl.org/coar/resource_type/c_6501 2023 ftcsic https://doi.org/10.1016/j.scitotenv.2023.16657910.13039/50110001019810.13039/50110000187110.13039/501100004837 2024-05-29T00:05:22Z Abandoned, lost, or discarded fishing gear (ALDFG), represents a significant percentage of the global plastic pollution, currently considered one of the major sources from sea-based activities. However, there is still limited understanding of the quantities of ALDFG present on the seafloor and their impacts. In this study, data on the presence of ALDFG was obtained from a large archive of seafloor video footage (351 dives) collected by different imaging platforms in the Azores region over 15 years (2006-2020). Most ALDFG items observed in the images relate to the local bottom longline fishery operating in the region, and include longlines but also anchors, weights, cables and buoys. A generalized additive mixed model (GAMM) was used to predict the distribution and abundance of ALDFG over the seafloor within the limits of the Azores Exclusive Economic Zone (EEZ) using a suite of environmental and anthropogenic variables. We estimated an average of 113 ± 310 items km-2 (597 ± 756 per km-2 above 1000 m depth), which could imply that over 20 million ALDFG items are present on the deep seafloor of the Azores EEZ. The resulting model identified potential hotspots of ALDFG along the seabed, some of them located over sensitive benthic habitats, such as specific seamounts. In addition, the interactions between ALDFG and benthic organisms were also analysed. Numerous entanglements were observed with several species of large anthozoans and sponges. The use of predictive distribution modelling for ALDFG should be regarded as a useful tool to support ecosystem-based management, which can provide indirect information about fishing pressure and allow the identification of potential high-risk areas. Additional knowledge about the sources, amounts, fates and impacts of ALDFG will be key to address the global issue of plastic pollution and the effects of fishing on marine ecosystems. This work contributes to the PO2020 PLASTDEEP (ACORES-01-0145-FEDER-000125) and MapGES (Acores-01-0145-FEDER-000056) research projects and to the ... Article in Journal/Newspaper North Atlantic Digital.CSIC (Spanish National Research Council) Science of The Total Environment 900 166579 |