The Changing Nature of Fisheries Management and Implications for Science

Key principles of marine ecosystem-based management

“…Evidence of a terrestrial focus includes the article's use of EBM definitions from the forestry sector to determine the list of fundamental components. Christensen (1996) Christensen et al's [38] list of principles in Ecological Applications has also been widely cited in over 870 related articles. This article also did not specify a medium of application, yet it arose often in the literature review for the terrestrial field [39].…”

“…Open lines of communication and transparency regarding management actions and initiatives are currently recognized as crucial for achieving sustainable fisheries management [37,38]. 'Critical Public Review of Results' provides the medium for the public to be aware of management actions and is a stepping-stone to further explore social objectives.…”

Harvest control rules in modern fisheries management

“…Rowe (1994), in his general classification of uncertainty, calls this translational uncertainty and highlights the importance of recognizing differences in perspectives on uncertainty when communicating scientific uncertainty. At the same time, policy makers and stakeholders should strive to understand the complex analyses that are inherent to fisheries management and as such take part in the scientific perspective (Stringer et al, 2009). A related feature is the tendency of industry to broadly interpret uncertainty to mean that conservative or intervening policy measures are unwarranted (see, for example, Clark, 2006).…”

“…The broader perspective of modern day fisheries management, in terms of ambition and need (ecosystembased management), legal developments (for example, with respect to rare and endangered species), and interdisciplinary research (for example, use of ocean circulation models in estimates of recruitment) has increased the complexity of the management problem (Stringer et al, 2009;Dickey-Collas, 2014). For example, the possibility of performing precise analyses generally decreases as complexity increases (Zadeh, 1972;see Rochet and Rice, 2009, for a discussion related to fisheries management).…”

SATISFYING USER EXPECTATIONS IN ONTOLOGY-DRIVEN COMPOSITIONAL SYSTEMS - A Case Study in Fish Population Modeling

“…Unfortunately, many fisheries management decisions are based largely on qualitative indicators or expert opinion of fish population status, rather than estimates derived from more complex mathematical modeling tools developed over the past 30 years (NRC, 2005;Methot, 2009). In some cases, the biologists are constrained by the quantity and/or quality of data required for the mathematical models, while in other cases the biologists are themselves limited in their understanding of how these models function (Stringer et al, 2009). Through a unique fisheries research collaboration between the Chippewas of Nawash Unceded First Nation and the University of Guelph, the authors have investigated the domain of fisheries population models to understand how fisheries biologists could: [1] leverage and acquire the computational, mathematical, and statistical knowledge to appropriately employ the population models, and [2] enhance their level of trust in the quality and performance of the generated system.…”