Evaluating potential indicators for an ecosystem approach to fishery management in European waters
Author(s) -
G.J. Piet,
Henrice M. Jansen,
Marie-Joëlle Rochet
Publication year - 2008
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsn124
Subject(s) - fisheries management , ecological indicator , headline , performance indicator , environmental resource management , process (computing) , fishery , ecosystem , environmental science , computer science , ecology , business , fishing , marketing , biology , advertising , operating system
This study describes the process of evaluating potential indicators for an ecosystem approach to fishery management in European waters by evaluating these indicators against existing criteria using questionnaires completed by experts. We (i) compare the use of a longer list of simple criteria with a shorter list of elaborate ones; (ii) compare evaluation results when screening criteria are applied to specific indicators vs. high-level headline indicators; and (iii) examine whether detailed questionnaires, with elaborate indi- cators and elaborate criteria, result in ranked scores that are less influenced by familiarity with the indicators. The results show that the ranked scores of indicators are affected by the level of detail, both in terms of criteria and indicators, provided in the questionnaires. It appears that adding detail to the questionnaires makes the scoring process more transparent and provides better founded scores; at a certain point, however, more-detailed indicators and/or more-detailed criteria result in decreased performance of the scoring process, reflecting mostly factors that do not determine the suitability of the indicator (e.g. the level of familiarity), while giving the false impression of a more thorough analysis.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom