A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401001 |
Resumo: | Abstract In August 2019, the Northeast coast of Brazil was impacted by an extensive oil spill, with immediate effects on marine and coastal ecosystems and significant impacts on tourism and food security. The human dimension of those impacts also includes the loss of cultural ecosystem services (CES); the non-material benefits stemming from strongly rooted cultural practices and relationships with nature. CES are of great importance for local residents and visitors that flock to Brazilian iconic beaches, however, they are difficult to measure using traditional assessment methods due to their subjective and non-tangible nature. Here, we use a big data approach to assess and map the loss of CES in the Northeast coast of Brazil caused by the recent oil spill. We analysed 2,880 digital images (published on the image sharing platform Flickr) taken before and during the disaster in affected locations, using a combination of automated techniques. Results showed a sharp decline in the number of users posting photos of locations affected by oil spill, and a decline in photos representing landscape and cultural appreciation. Our big data approach provides a fast and automated way to assess CES at large spatial scales that can be used to monitor the social impacts of environmental disasters. |
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A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disasterbig dataoil spillculturomicscultural ecosystem servicesAbstract In August 2019, the Northeast coast of Brazil was impacted by an extensive oil spill, with immediate effects on marine and coastal ecosystems and significant impacts on tourism and food security. The human dimension of those impacts also includes the loss of cultural ecosystem services (CES); the non-material benefits stemming from strongly rooted cultural practices and relationships with nature. CES are of great importance for local residents and visitors that flock to Brazilian iconic beaches, however, they are difficult to measure using traditional assessment methods due to their subjective and non-tangible nature. Here, we use a big data approach to assess and map the loss of CES in the Northeast coast of Brazil caused by the recent oil spill. We analysed 2,880 digital images (published on the image sharing platform Flickr) taken before and during the disaster in affected locations, using a combination of automated techniques. Results showed a sharp decline in the number of users posting photos of locations affected by oil spill, and a decline in photos representing landscape and cultural appreciation. Our big data approach provides a fast and automated way to assess CES at large spatial scales that can be used to monitor the social impacts of environmental disasters.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401001Anais da Academia Brasileira de Ciências v.94 suppl.2 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220210397info:eu-repo/semantics/openAccessAZEVEDO,ANNA KAROLINEVIEIRA,FELIPE A.S.GUEDES-SANTOS,JHONATANGAIA,JOÃO ARTHURPINHEIRO,BARBARA R.BRAGAGNOLO,CHIARACORREIA,RICARDO A.LADLE,RICHARD J.MALHADO,ANA C.M.eng2022-05-20T00:00:00Zoai:scielo:S0001-37652022000401001Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-05-20T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
title |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
spellingShingle |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster AZEVEDO,ANNA KAROLINE big data oil spill culturomics cultural ecosystem services |
title_short |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
title_full |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
title_fullStr |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
title_full_unstemmed |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
title_sort |
A big data approach to identify the loss of coastal cultural ecosystem services caused by the 2019 Brazilian oil spill disaster |
author |
AZEVEDO,ANNA KAROLINE |
author_facet |
AZEVEDO,ANNA KAROLINE VIEIRA,FELIPE A.S. GUEDES-SANTOS,JHONATAN GAIA,JOÃO ARTHUR PINHEIRO,BARBARA R. BRAGAGNOLO,CHIARA CORREIA,RICARDO A. LADLE,RICHARD J. MALHADO,ANA C.M. |
author_role |
author |
author2 |
VIEIRA,FELIPE A.S. GUEDES-SANTOS,JHONATAN GAIA,JOÃO ARTHUR PINHEIRO,BARBARA R. BRAGAGNOLO,CHIARA CORREIA,RICARDO A. LADLE,RICHARD J. MALHADO,ANA C.M. |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
AZEVEDO,ANNA KAROLINE VIEIRA,FELIPE A.S. GUEDES-SANTOS,JHONATAN GAIA,JOÃO ARTHUR PINHEIRO,BARBARA R. BRAGAGNOLO,CHIARA CORREIA,RICARDO A. LADLE,RICHARD J. MALHADO,ANA C.M. |
dc.subject.por.fl_str_mv |
big data oil spill culturomics cultural ecosystem services |
topic |
big data oil spill culturomics cultural ecosystem services |
description |
Abstract In August 2019, the Northeast coast of Brazil was impacted by an extensive oil spill, with immediate effects on marine and coastal ecosystems and significant impacts on tourism and food security. The human dimension of those impacts also includes the loss of cultural ecosystem services (CES); the non-material benefits stemming from strongly rooted cultural practices and relationships with nature. CES are of great importance for local residents and visitors that flock to Brazilian iconic beaches, however, they are difficult to measure using traditional assessment methods due to their subjective and non-tangible nature. Here, we use a big data approach to assess and map the loss of CES in the Northeast coast of Brazil caused by the recent oil spill. We analysed 2,880 digital images (published on the image sharing platform Flickr) taken before and during the disaster in affected locations, using a combination of automated techniques. Results showed a sharp decline in the number of users posting photos of locations affected by oil spill, and a decline in photos representing landscape and cultural appreciation. Our big data approach provides a fast and automated way to assess CES at large spatial scales that can be used to monitor the social impacts of environmental disasters. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202220210397 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.94 suppl.2 2022 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
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ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
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1754302872075370496 |