Mapping the global distribution of locally-generated marine ecosystem services: The case of the West and Central Pacific Ocean tuna fisheries
|Author(s)||Drakou Evangelia G.1, Virdin John2, Pendleton Linwood3, 4|
|Affiliation(s)||1 : Fac Geoinformat Sci & Earth Observat ITC, POB 6, NL-7500 AE Enschede, Netherlands.
2 : Duke Univ, Nicholas Inst Environm Policy Solut, Durham, NC 27706 USA.
3 : World Wildlife Fund, Global Sci Leadership Team & Oceans Practice, 1250 24th St NW, Washington, DC 20037 USA.
4 : Univ Brest, UMR M101, AMURE, CNRS,OSU IUEM, 12 Rue Kergoat CS 93837, F-29238 Brest 3, France.
|Source||Ecosystem Services (2212-0416) (Elsevier), 2018-06 , Vol. 31 , P. 278-288|
|WOS© Times Cited||15|
|Keyword(s)||Flow mapping, Benefit sharing, Telecoupled systems, Teleconnections, Value chain analysis, Trade|
Ecosystem service (ES) maps are instrumental for the assessment and communication of the costs and benefits of human-nature interactions. Yet, despite the increased understanding that we live a globalized tele-coupled world where such interactions extend globally, ES maps are usually place-based and fail to depict the global flows of locally produced ES. We aim to shift the way ES maps are developed by bringing global value chains into ES assessments. We propose and apply a conceptual framework that integrates ES provision principles, with value chain analysis and human well-being assessment methods, while considering the spatial dimension of these components in ES mapping. We apply this framework to the case of seafood provision from purse seine tuna fishery in the Western and Central Pacific Ocean. The ES maps produced demonstrate the flow of a marine ES to a series of global beneficiaries via different trade and mobility pathways. We identify three types of flows - one to one, closed loop and open loop. We emphasize the need to consider a series of intermediate beneficiaries in ES mapping despite the lack of data. We highlight the need for a shift in ES mapping, to better include global commodity flows, across spatial scales.