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Ocean robotics in support of fisheries research and management

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dc.contributor.author Swart, S
dc.contributor.author Zietsman, JJ
dc.contributor.author Coetsee, JC
dc.contributor.author Goslett, Daniel G
dc.contributor.author Hoek, A
dc.contributor.author Needham, D
dc.contributor.author Monteiro, Pedro MS
dc.date.accessioned 2017-07-28T09:36:25Z
dc.date.available 2017-07-28T09:36:25Z
dc.date.issued 2016-12
dc.identifier.citation Swart, S., Zietsman, J.J., Coetzee, J.C. et al. 2016. Ocean robotics in support of fisheries research and management. African Journal of Marine Science, vol. 38(4): 525-538. doi.org/10.2989/1814232X.2016.1251971 en_US
dc.identifier.issn 1814-232X
dc.identifier.uri http://www.tandfonline.com/doi/abs/10.2989/1814232X.2016.1251971
dc.identifier.uri doi.org/10.2989/1814232X.2016.1251971
dc.identifier.uri http://hdl.handle.net/10204/9400
dc.description Copyright: 2016 NISC. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract South Africa’s small pelagic fishery is an important component of the country’s commercial fisheries sector, second in value only to the demersal trawl fishery. Management of this sector relies on frequent hydro-acoustic surveys, which provide measures of anchovy Engraulis encrasicolus and sardine Sardinops sagax biomass used in the assessments of stock status and in the development of management plans for the sustainable utilisation of these resources. We demonstrate how the current technological capabilities in ocean robotics at the Council for Scientific and Industrial Research (CSIR) could augment the current resource-intensive hydro-acoustic ship-based survey programme and create opportunities for its spatial and temporal expansion. We successfully implement and demonstrate an autonomous wave glider, fitted with a hydro-acoustic sensor and compare the data to a collocated ‘traditional’ ship-based acoustics survey. In the future these autonomous systems approaches could be seen as a means to lessen the cost burden of the ship-based survey, while at the same time with the added advantage of continuous collection over much wider spatial and temporal domains. Gliders thus have potential to increase dramatically the quantity of information available to fisheries managers, thereby reducing uncertainty and contributing to improved management of valuable fish resources. They are likely to contribute to improved knowledge of the ecology of small pelagic fish species off the coast of South Africa in a changing climate and should potentially also permit the collection of biomass data for other marine resources currently not routinely monitored. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.relation.ispartofseries Worklist;18148
dc.subject Ocean robotics en_US
dc.subject Fisheries research and management en_US
dc.subject Acoustics en_US
dc.subject Anchovies en_US
dc.subject Echosounder en_US
dc.subject Pelagic fish en_US
dc.subject Sardines en_US
dc.subject Wave Glider® en_US
dc.subject South African fisheries en_US
dc.title Ocean robotics in support of fisheries research and management en_US
dc.type Article en_US
dc.identifier.apacitation Swart, S., Zietsman, J., Coetsee, J., Goslett, D., Hoek, A., Needham, D., & Monteiro, P. M. (2016). Ocean robotics in support of fisheries research and management. http://hdl.handle.net/10204/9400 en_ZA
dc.identifier.chicagocitation Swart, S, JJ Zietsman, JC Coetsee, DG Goslett, A Hoek, D Needham, and Pedro MS Monteiro "Ocean robotics in support of fisheries research and management." (2016) http://hdl.handle.net/10204/9400 en_ZA
dc.identifier.vancouvercitation Swart S, Zietsman J, Coetsee J, Goslett D, Hoek A, Needham D, et al. Ocean robotics in support of fisheries research and management. 2016; http://hdl.handle.net/10204/9400. en_ZA
dc.identifier.ris TY - Article AU - Swart, S AU - Zietsman, JJ AU - Coetsee, JC AU - Goslett, DG AU - Hoek, A AU - Needham, D AU - Monteiro, Pedro MS AB - South Africa’s small pelagic fishery is an important component of the country’s commercial fisheries sector, second in value only to the demersal trawl fishery. Management of this sector relies on frequent hydro-acoustic surveys, which provide measures of anchovy Engraulis encrasicolus and sardine Sardinops sagax biomass used in the assessments of stock status and in the development of management plans for the sustainable utilisation of these resources. We demonstrate how the current technological capabilities in ocean robotics at the Council for Scientific and Industrial Research (CSIR) could augment the current resource-intensive hydro-acoustic ship-based survey programme and create opportunities for its spatial and temporal expansion. We successfully implement and demonstrate an autonomous wave glider, fitted with a hydro-acoustic sensor and compare the data to a collocated ‘traditional’ ship-based acoustics survey. In the future these autonomous systems approaches could be seen as a means to lessen the cost burden of the ship-based survey, while at the same time with the added advantage of continuous collection over much wider spatial and temporal domains. Gliders thus have potential to increase dramatically the quantity of information available to fisheries managers, thereby reducing uncertainty and contributing to improved management of valuable fish resources. They are likely to contribute to improved knowledge of the ecology of small pelagic fish species off the coast of South Africa in a changing climate and should potentially also permit the collection of biomass data for other marine resources currently not routinely monitored. DA - 2016-12 DB - ResearchSpace DP - CSIR KW - Ocean robotics KW - Fisheries research and management KW - Acoustics KW - Anchovies KW - Echosounder KW - Pelagic fish KW - Sardines KW - Wave Glider® KW - South African fisheries LK - https://researchspace.csir.co.za PY - 2016 SM - 1814-232X T1 - Ocean robotics in support of fisheries research and management TI - Ocean robotics in support of fisheries research and management UR - http://hdl.handle.net/10204/9400 ER - en_ZA


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