Valuing unfamiliar Mediterranean deep-sea ecosystems using visual Q-methodology

Valuing unfamiliar Mediterranean deep-sea ecosystems using visual Q-methodology

Primary Country: multiple
Ecosystem: deep sea
Sample Value Estimates:
(a) For people belonged to this factor, coral species are relatively unimportant. The Noah’s Ark Fans group, in which can be noted a strong emphasis in saving those species typical of Mediterranean deep- sea ecosystems - especially those relevant for the fishing industry - expressed the viewpoints of all non-biologists - independently from conditions of instruction - and of the marine biologists when they were asked to think as if they were a fishermen. (b) This Ecosystem Functions Supporter factor underlines the importance of saving both species and habitats. In particular, priority is given to the preservation of those habitats that host peculiar communities. (c) The Deep Coral Lovers factor was retained since it provide a separate expert viewpoint that associates great interest to habitats with coral reefs and sponge fields. The opinions of non-experts and of those having a more scientific understanding of the deep-sea ecosystems considerably differ, and more than two perspectives emerged - Noah’s Ark Fans, Ecosystem Functions Supporters, and Deep Coral Lovers. Nevertheless, a large consensus emerges when thinking to the provisioning ser- vices – i.e. when asking to assess the most important element to be preserved acting as if in the fisherman’s shoe.
Methodology: Q-Methodology
Region: multiple / Mediterranean

Publication information

Zanoli, R. L. CarlesiR. Danovaro S. Mandolesi S. Naspetti “Valuing unfamiliar Mediterranean deep-sea ecosystems using visual Q-methodology” Marine Policy 61: 227–236, 2015

Addtional Notes

In this paper, Stephenson’s Q-methodology was applied to improve our knowledge of stakeholders perceptions about the marine environment as a tool for pre-design qualitative research to support non-market valuation. The power of Q-methodology is that it allows revealing respondents’ subjectivity, which becomes measurable by the Q sorting process.

Q-methodology requires participant to rank-order a selection of items (called Q sample) – which are a representation of a concourse, that is the overall population of elements about the subject under investigation – into a predefined distribution, ac- cording to a specific condition of instruction. Once collected, all Q sorts are correlated (Q sort by Q sort) generating a correlation matrix that is subsequently factor analysed and rotated. 




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