A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale

Litter cleanup and disposal management in the marine environment are increasingly subject to public scrutiny, government regulation and stakeholder initiatives. In practice, ongoing efforts and new investment decisions, for example in new cleanup technologies, are constrained by financial and econom...

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Autores principales:	Asbjørn Christensen, Kostas Tsiaras, Jens Murawski, Yannis Hatzonikolakis, Jun She, Michael St. John, Urmas Lips, Roy Brouwer
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	marine litter transport marine litter cleanup cost-benefit analysis cleaning technology marine ecosystem services cleaning feasibility Science Q General. Including nature conservation, geographical distribution QH1-199.5
Acceso en línea:	https://doaj.org/article/854761d2e82c450a932c2f827dd75dc8
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spelling	oai:doaj.org-article:854761d2e82c450a932c2f827dd75dc82021-11-11T06:59:16ZA Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale2296-774510.3389/fmars.2021.744208https://doaj.org/article/854761d2e82c450a932c2f827dd75dc82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.744208/fullhttps://doaj.org/toc/2296-7745Litter cleanup and disposal management in the marine environment are increasingly subject to public scrutiny, government regulation and stakeholder initiatives. In practice, ongoing efforts and new investment decisions, for example in new cleanup technologies, are constrained by financial and economic resources. Given budgetary restrictions, it is important to optimize decision-making using a scientific framework that takes into account the various effects of investments by combining multiple scientific perspectives and integrating these in a consistent and coherent way. Identifying optimal levels of marine litter cleanup is a challenge, because of its cross-disciplinary nature, involving physics, environmental engineering, science, and economics. In this paper, we propose a bridge-building, spatial cost-benefit optimization framework that allows prioritizing where to apply limited cleanup efforts within a regional spatial network of marine litter sources, using input from the maturing field of marine litter transport modeling. The framework also includes ecosystem functioning in relation to variable litter concentrations, as well as the potentially non-linear cost-efficiency of cleanup technologies. From these three components (transport modeling, ecosystem functioning, cleanup-effectiveness), along with litter source mapping, we outline the optimal cleanup solution at any given ecological target or economic constraint, as well as determine the cleanup feasibility. We illustrate our framework in a Baltic and Mediterranean Sea case study, using real data for litter transport and cleanup technology. Our study shows that including pollution Green's functions is essential to assess the feasibility of cleanup and determine optimal deployment of cleanup investments, where the presented framework combines physical, economical, technological and biological data consistently to compare and rank alternatives.Asbjørn ChristensenKostas TsiarasJens MurawskiYannis HatzonikolakisYannis HatzonikolakisJun SheMichael St. JohnUrmas LipsRoy BrouwerRoy BrouwerFrontiers Media S.A.articlemarine litter transportmarine litter cleanupcost-benefit analysiscleaning technologymarine ecosystem servicescleaning feasibilityScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	marine litter transport marine litter cleanup cost-benefit analysis cleaning technology marine ecosystem services cleaning feasibility Science Q General. Including nature conservation, geographical distribution QH1-199.5
spellingShingle	marine litter transport marine litter cleanup cost-benefit analysis cleaning technology marine ecosystem services cleaning feasibility Science Q General. Including nature conservation, geographical distribution QH1-199.5 Asbjørn Christensen Kostas Tsiaras Jens Murawski Yannis Hatzonikolakis Yannis Hatzonikolakis Jun She Michael St. John Urmas Lips Roy Brouwer Roy Brouwer A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
description	Litter cleanup and disposal management in the marine environment are increasingly subject to public scrutiny, government regulation and stakeholder initiatives. In practice, ongoing efforts and new investment decisions, for example in new cleanup technologies, are constrained by financial and economic resources. Given budgetary restrictions, it is important to optimize decision-making using a scientific framework that takes into account the various effects of investments by combining multiple scientific perspectives and integrating these in a consistent and coherent way. Identifying optimal levels of marine litter cleanup is a challenge, because of its cross-disciplinary nature, involving physics, environmental engineering, science, and economics. In this paper, we propose a bridge-building, spatial cost-benefit optimization framework that allows prioritizing where to apply limited cleanup efforts within a regional spatial network of marine litter sources, using input from the maturing field of marine litter transport modeling. The framework also includes ecosystem functioning in relation to variable litter concentrations, as well as the potentially non-linear cost-efficiency of cleanup technologies. From these three components (transport modeling, ecosystem functioning, cleanup-effectiveness), along with litter source mapping, we outline the optimal cleanup solution at any given ecological target or economic constraint, as well as determine the cleanup feasibility. We illustrate our framework in a Baltic and Mediterranean Sea case study, using real data for litter transport and cleanup technology. Our study shows that including pollution Green's functions is essential to assess the feasibility of cleanup and determine optimal deployment of cleanup investments, where the presented framework combines physical, economical, technological and biological data consistently to compare and rank alternatives.
format	article
author	Asbjørn Christensen Kostas Tsiaras Jens Murawski Yannis Hatzonikolakis Yannis Hatzonikolakis Jun She Michael St. John Urmas Lips Roy Brouwer Roy Brouwer
author_facet	Asbjørn Christensen Kostas Tsiaras Jens Murawski Yannis Hatzonikolakis Yannis Hatzonikolakis Jun She Michael St. John Urmas Lips Roy Brouwer Roy Brouwer
author_sort	Asbjørn Christensen
title	A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
title_short	A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
title_full	A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
title_fullStr	A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
title_full_unstemmed	A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale
title_sort	cross disciplinary framework for cost-benefit optimization of marine litter cleanup at regional scale
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/854761d2e82c450a932c2f827dd75dc8
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A Cross Disciplinary Framework for Cost-Benefit Optimization of Marine Litter Cleanup at Regional Scale

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