NNA Research Teams
Research Teams
Cryosphere Dynamics
Marco Tedesco and Patrick Alexander
Cryosphere Processes Laboratory, Lamont-Doherty Earth Observatory
Columbia University
Part 1 Objectives: Generate Arctic freshwater input for ocean modeling.
Part 1 Expected Outcomes/Deliverables: Monthly observed Greenland Ice Sheet (GRACE) and Arctic Sea Ice (PIOMAS) freshwater flux derived from satellites / reanalysis data.
Resources
Cryosphere Presentation at Researchers Team Meeting Presentation July 27, 2023 (Zoom recording, start at 30:00 mins to 56:00)
Cryosphere Slides from Project Rescoping Meeting Oct 12, 2022
Physical-Biological Modeling
Eric Chassignet, Michael Stukel, and Xiaobiao Xu
Florida State University
Goals
- To establish/understand the role of atmospheric forcing and freshwater fluxes on circulation pattern and nutrient fluxes into the northwestern Atlantic shelf region.
- To determine how altered circulation, nutrients, and temperature modify plankton food web and provide model fields to the other groups in the NNA collaboration.
Biological Oceanography
Joaquim Goes and Helga Gomes
Columbia University
One of our deliverables is more refined satellite estimates of net primary productivity for the US East Coast which we hope to deliver by the the second half of year 2, whereas we hope to provide a synthesis of our datasets by the middle of Year 3
We are hoping that we will be able use the planned lobster trap temperature data from our stakeholders to validate model outputs and are also hoping to use their local knowledge to help us with our synthesis efforts
Ecosystem Modeling
Andrew Goode, University of Maine
A lobster larval life history model will simulate the drift, growth, and mortality of lobster larvae as determined by coastal flow fields, water temperature at the surface and bottom, and the abundance of the zooplankton Calanus finmarchicus.
In Years 1-2, we will include a statistical distribution model that will inform the location of larval release and incorporation of spatiotemporal variability of egg hatch phenology. Survival of lobster larvae will be modified by their co-occurrence with Calanus.
Regional patterns of postlarval settlement to the seafloor will estimated and calibrated using existing ALSI time series. Settlement densities will inform short-term landings forecasts and in turn, these indices will be compared to annual landings to generate recruitment-to-landing relationships.
Resources
Lobster Population Modeling
Kathy Mills, Gulf of Maine Research Institute
Damian Brady, University of Maine
We will expand upon an existing lobster population model (Le Bris et al., 2018) and extend the model domain to span from southern New England to Newfoundland-Labrador and enhance the spatial resolution to operate at the scale of statistical areas in the U.S. and management areas in Canadian waters.
Resources
Bio-economic Modeling
Kanae Tokunaga, Gulf of Maine Research Institute
Jay Kim, PhD Candidate, UMaine
This project proposes an ‘encultured’ bio-economic modeling approach using an ABM framework. ‘Encultured’ bio-economic modeling builds on the recent development in behavioral economics literature that introduced the notion of an ‘encultured actor’ whose preferences and decisions are influenced by deep social influences, such as social contexts and cultural mental models (Hoff & Stiglitz, 2016). Here, we are interested in understanding how the lived experiences of people influence decisions associated with fishing technologies (e.g., vessel size), fishing locations, and overall fishing objectives. The development of the encultured ABM will be informed by the socioeconomic indicators (3.3.2) and the diagnostic analysis (3.3.3) to incorporate not only resource and fishery governance constraints but also cultural constraints.
Resources
Social Indicators
Josh Stoll, Christine Beitl, Theresa Burnham, Heather Leslie,
University of Maine
Description
Resources