The pelagic habitat analysis module for ecosystem-based fisheries science and management

We have developed a set of tools that operate within an aquatic geographic information system to improve the accessibility, and usability of remote-sensed satellite and computer-modeled oceanographic data for marine science and ecosystem-based management. The tools form the Pelagic Habitat Analysis Module (PHAM), which can be applied as a modeling platform, an investigative aid in scientific research, or utilized as a decision support system for marine ecological management. Applications include fisheries, marine biology, physical and biological oceanography, and marine spatial management. The GIS provides a home for diverse data types and automated tools for downloading remote sensed and global circulation model data. Within the GIS environment, PHAM provides a framework for seamless interactive four-dimensional visualization, for matching between disparate data types, for flexible statistic or mechanistic model development, and for dynamic application of user developed models for habitat, density, and probability predictions. Here we describe PHAM in the context of ecosystem-based fisheries management, and present results from case study projects which guided development. In the first, an analysis of the purse seine fishery for tropical tuna in the eastern Pacific Ocean revealed oceanographic drivers of the catch distribution and the influence of climate-driven circulation patterns on the location of fishing grounds. To support management of the Common Thresher Shark (Alopias vulpinus) in the California Current Ecosystem, a simple empirical habitat utilization model was developed and used to dynamically predict the seasonal range expansion of common thresher shark based on oceanographic conditions.

[1]  M. Zainuddin,et al.  Characterizing Potential Fishing Zone of Skipjack Tuna during the Southeast Monsoon in the Bone Bay-Flores Sea Using Remotely Sensed Oceanographic Data , 2013 .

[2]  V. M. Tsontos,et al.  Development of a dynamic biogeographic information system for the Gulf of Maine , 2000 .

[3]  C. Lennert‐Cody,et al.  Effects of gear characteristics on the presence of bigeye tuna (Thunnus obesus) in the catches of the purse-seine fishery of the eastern Pacific Ocean , 2008 .

[4]  David G. Long,et al.  Improved resolution backscatter measurements with the SeaWinds pencil-beam scatterometer , 2000, IEEE Trans. Geosci. Remote. Sens..

[5]  Carl Walters,et al.  Lessons for stock assessment from the northern cod collapse , 1996, Reviews in Fish Biology and Fisheries.

[6]  Keith Sainsbury,et al.  Incorporating ecosystem objectives into management of sustainable marine fisheries, including 'best practice' reference points and use of marine protected areas. , 2003 .

[7]  Dale A. Kiefer,et al.  The Gulf of Maine biogeographical information system project: developing a spatial data management framework in support of OBIS , 2002 .

[8]  P. A. Larkin Concepts and issues in marine ecosystem management , 1996, Reviews in Fish Biology and Fisheries.

[9]  James J. Simpson,et al.  Remote sensing and geographical information systems: Their past, present and future use in global marine fisheries , 1992 .

[10]  Richard D. Methot,et al.  Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management , 2013 .

[11]  R. Hilborn,et al.  Current and future trends in fisheries stock assessment and management , 1992 .

[12]  W. Kessler The circulation of the eastern tropical Pacific: A review , 2006 .

[13]  Cara Wilson,et al.  The rocky road from research to operations for satellite ocean-colour data in fishery management , 2011 .

[14]  George H. Balazs,et al.  TurtleWatch: A tool to aid in the bycatch reduction of loggerhead turtles Caretta caretta in the Hawaii-based pelagic longline fishery , 2008 .

[15]  Mark N. Maunder,et al.  Estimation of recruitment in catch-at-age models , 2003 .

[16]  I. Arregi,et al.  Bigeye tuna (Thunnus obesus) vertical movements in the Azores Islands determined with pop‐up satellite archival tags , 2008 .

[17]  Andrea Emilio Rizzoli,et al.  Delivering environmental decision support systems: Software tools and techniques , 1997 .

[18]  H. Browman,et al.  Perspectives on ecosystem-based approaches to the management of marine resources , 2004 .

[19]  Ben C. Neely,et al.  Use of Geographic Information Systems by Fisheries Management Agencies , 2013 .

[20]  Wayne A. Hubert,et al.  Integrating New Technologies into Fisheries Science: The Application of Geographic Information Systems , 1997 .

[21]  Konstantinos I. Stergiou,et al.  Overfishing, tropicalization of fish stocks, uncertainty and ecosystem management: resharpening Ockham's razor , 2002 .

[22]  E. K. Pikitch,et al.  Ecosystem-Based Fishery Management , 2004, Science.

[23]  L. Ballance,et al.  Oceanographic influences on seabirds and cetaceans of the eastern tropical Pacific: A review , 2006 .

[24]  Laurence T. Kell,et al.  Global habitat preferences of commercially valuable tuna , 2015 .

[25]  M. Maunder,et al.  Using stock assessment information to assess fishing capacity of tuna fisheries , 2009 .

[26]  C. Johnson,et al.  Growth and age structure of sea urchins (Heliocidaris erythrogramma) in complex barrens and native macroalgal beds in eastern Tasmania , 2008 .

[27]  Jacqueline McGlade,et al.  A global movement toward an ecosystem approach to management of marine resources , 2005 .

[28]  R. E. Green Relationship of the thermocline to success of purse seining for tuna , 1967 .