EcoCast: Improving Ecological and Economic Sustainability of Fisheries Using Remotely-sensed Oceanographic Data PI: R. Lewison, San Diego State University.

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Presentation transcript:

EcoCast: Improving Ecological and Economic Sustainability of Fisheries Using Remotely-sensed Oceanographic Data PI: R. Lewison, San Diego State University NASA Science Mission Directorate Earth Science Division Applied Sciences Program

A flexible, user-driven, and responsive decision support application that uses NASA satellite data to support sustainable fisheries. Project title: EcoCast

Sara Maxwell (Old Dominion), Elliott Hazen (NOAA) Melissa Stevens, Matt Merrifield (TNC) Steven Bograd, Scott Benson, Tomo Eguchi, Heidi Dewar, Suzy Kohin, Tim Sippel (NOAA Southwest Fisheries Science Center) Larry Crowder, Dana Briscoe (Stanford Univ) Helen Bailey (U of Maryland) Dan Costa (UC Santa Cruz) Project team Project team is collaboration between multiple academic institutions, agencies and NGOs.

Ecologically sustainable fisheries Economically viable fisheries Current practices/baseline: fixed & seasonal TACs, quotas, hard caps Motivation and context

seascapes marine lifehuman uses are all dynamic Motivation and context

Marine protected areas Time area closure Management zone Motivation and context Static structures are being used to manage dynamic oceans

Motivation and context (Lewison et al. 2015, Bioscience)

Leveraging science & technology EcoCast leverages Next-gen telemetry (Bailey et al. 2009, Block et al ) Innovative spp. distribution modelling (Hobday et al. 2011)) Robust spatial data integration (Pikesley et al 2013) Analytical approach

9 tele Satellite

Satellite data/products

11 tele Telemetry Satellite Fisheries Species distribution models Fisheries interaction models EcoCast (integrated model product)

Phase I products generalized additive mixed models (GAMMs) generalized additive models (GAMs) Predictive habitat models have been constructed for each focal species Model development to continue in Phase II

EcoCast Phase I progress demonstrates feasibility, tractability and utility Phase I products

Partner and stakeholder engagement Working directly with NOAA, industry (Pacific Fisheries Mgmt Council) and individual fishers to ensure EcoCast meets the needs of the stakeholder community Phase I outcomes

Tool to collect opportunistic sightings of non-target species In collaboration with TNC Partner/stakeholder engagement

EcoCast App EcoCast Phase II California Current Regional Ocean Modeling System (ROMS) temp & spatial resolution Improve ocean characterization Data integration Ensemble model approach Crowdsource data

Built to be compatible with and be supported by existing NOAA infrastructure ERDDAP (Environmental Research Division's Data Access Program): tech-supported NOAA server with capacity to store and maintain EcoCast data Partners, end-users and stakeholders playing key role as participants, expert reviewers and focal user groups Sustainability

Acknowledgements

Wicked problem of balancing multiple objectives and trade-offs Ocean seascapes, organisms and users are dynamic Static structures are being used to manage dynamic oceans disconnect Motivation and context

HOW “ management that changes in space and time in response to the shifting nature of the ocean and its users based on the integration of real-time or near real-time biological, oceanographic, social, economic and other data.” (Maxwell et al 2012, Hobday et al 2014, Lewison et al. 2015) How do we define DOM?