Obey the LAW: Calanus finmarchicus dormancy explained Jeffrey Runge School of Marine Sciences, University of Maine and Gulf of Maine Research Institute.

Slides:



Advertisements
Similar presentations
Individual-based Models Three Examples
Advertisements

US GLOBEC Before and After
1 An Ecosystem Model for Exploring the Ecological and Economic Role of Pacific Sardine in the California Current Large Marine Ecosystem By Rashid Sumaila.
Zooplankton variability on the Faroe Shelf and in the surrounding oceanic area in relation to phytoplankton and physical conditions E. Gaard, H. Debes,
The Response of Atlantic Cod (Gadus morhua) to Future Climate Change
Plankton changes and cod recruitment in the North Sea Plankton changes and cod recruitment in the North Sea Grégory Beaugrand 1,3*, Keith M. Brander 2,
Erin Meyer-Gutbrod - Cornell University Dr. Andrew Pershing – Gulf of Maine Research Institute Dr. Charles Greene - Cornell University
General questions: are there barriers for cross-breeding in the oceans? Implications for evolutionary study (e.g., species stability), ecology (e.g., local.
SeaWiFS-based chlorophyll in selekt Chl [mg m -3 ] Sub-decadal oceanic oscillations regulate the north-eastern Atlantic shelf ecosystems Hjálmar Hátún,
The Oscillating Control Hypothesis Reassessment in view of New Information from the Eastern Bering Sea George L. Hunt, Jr. School of Aquatic and Fishery.
Disentangling evolution and plasticity in adult sockeye migration date: a new method provides evidence of evolutionary change Lisa Crozier Mark Scheuerell.
Growth and feeding of larval cod (Gadus morhua) in the Barents Sea and the Georges Bank Trond Kristiansen, Frode Vikebø, Svein Sundby, Geir Huse, Øyvind.
Spatial patterns in the distribution and early life characteristics of North Sea cod under the influence of climate change Hannes Höffle, Ph.D. student.
Climate, Ecosystems, and Fisheries A UW-JISAO/Alaska Fisheries Science Center Collaboration Jeffrey M. Napp Alaska Fisheries Science Center NOAA Fisheries.
Individual based modeling of growth and survival of Atlantic Cod (Gadus morhua) and Lesser Sandeel (Ammodytes marinus) larval stages Zeren Gürkan, Asbjørn.
Food Webs in the Ocean Andrew W Trites Marine Mammal Research Unit University of British Columbia Who eats whom and how much?
US-GLOBEC NW Atlantic Georges Bank Program Broadscale cruises (Jan-June) Process cruised 1995, 97 and 99 (Mar-May) Growth rate of
Megan Stachura and Nathan Mantua University of Washington School of Aquatic and Fishery Sciences September 8, 2012.
The New Ocean Management Paradigm Lessons from the Scotian Shelf Bob O’Boyle Bedford Institute of Oceanography Canada.
US GLOBEC Fundamental Discoveries and Surprises David Mountain.
Ecological processes in a changing climate: winners and losers Third US GLOBEC Pan Regional Workshop 20 February 2009 J. Runge, presenter.
Utilizing Ecosystem Information to Improve Decision Support for Central California Salmon Project Acronym: Salmon Applied Forecasting, Assessment and Research.
Linking sea surface temperature, surface flux, and heat content in the North Atlantic: what can we learn about predictability? LuAnne Thompson School of.
Development of the Lipid Accumulation Window hypothesis to explain Calanus finmarchicus dormancy Jeffrey Runge School of Marine Sciences, University of.
Equatorial Pacific primary productivity: Spatial and temporal variability and links to carbon cycling Pete Strutton College of Oceanic and Atmospheric.
An adjoint data assimilation approach Physical and Biological Controls on Calanus finmarchicus in the Georges Bank Region GlOBEC broad-scale surveysAcadia.
Stratification on the Eastern Bering Sea Shelf, Revisited C. Ladd 1, G. Hunt 2, F. Mueter 3, C. Mordy 2, and P. Stabeno 1 1 Pacific Marine Environmental.
Centre for Ecological and Evolutionary Synthesis ICES/NAFO Decadal Symposium Santander, Spain May 12th 2011 The serial recruitment failure to North Sea.
From Ocean Sciences at the Bedford Institute of Oceanography Temperature – Salinity for the Northwest.
NASA SeaWiFS Dynamics of Calanus finmarchicus Resting Populations in the Gulf of Maine Whitley Saumweber University of Rhode Island Graduate School of.
Predicting right whale distributions from space Andrew J. Pershing University of Maine/ Gulf of Maine Research Institute.
Integration Across Social and Natural Sciences: A Social Science Perspective Matt Berman EPSCoR All Hands Meeting May 2009.
Figure. Seasonally migrating copepods appeared at Station K2. We can identify two groups of the copepods by the life cycle. Red: surface spawning species,
Ecosystem intercomparison between Nordic Seas and NW Atlantic US PIs: G. Lough, L. Buckley, D. Mountain, M. Fogarty, T. Durbin, C. Werner Norwegian counterparts:
Linking freshwater habitat to salmonid productivity Watershed Program 1 1. NW Fisheries Science Center 2725 Montlake Blvd. East, Seattle, WA
S 1 NACLIM: North Atlantic Climate Predictability of the Climate in the North Atlantic/European sector related to North Atlantic/Arctic Ocean temperature.
2:00-3:00 Plenary - GLOBEC NWA Finale Summary of key findings Summary of key findings Prog Oce Volume 2010 Prog Oce Volume 2010 Final GLOBEC symposium,
Dynamics of the Subarctic Gyre and physical/biological interactions Svein Sundby EUR-OCEANS BASIN Workshop, Reykjavík, 12 – 14 March 2005.
Why are parts of the world green? Multiple factors control productivity and the distribution of biomass Gary A. Polis. OIKOS 86: Copenhagen 1999.
Jo King: Mechanisms relating the ocean-scale distribution of Calanus finmarchicus to environmental heterogeneity Douglas Speirs Acknowledgments: Bill Gurney.
"The Gulf of Alaska Seward Line & 2006 Russell R. Hopcroft, Kenneth O. Coyle, Tomas J. Weigngartner, Terry E. Whitledge Institute.
Ecosystem Research Initiative (ERI) for the Gulf of Maine Area (GoMA)
Collaborative Research: Copepods in a Warming Climate: A Pan-Regional Model of Arctic and Northwest Atlantic Systems coPIs: Davis, Ji, Beardsley, Chen.
Egg production rates of the larger copepods in the Gulf of Alaska: Calanus marshallae, Calanus pacificus, Eucalanus bungii and Neocalanus flemingeri Russell.
Balanced Harvesting: Not Supported by Science Rainer Froese GEOMAR, Kiel, Germany Pew Fellows Meeting, Rio Grande 16 October 2015.
Ocean-scale modelling of Calanus finmarchicus
Physical-biological interactions: regional to basin scales I. Pseudocalanus spp.: MARMAP data II. P. moultoni and P. newmani: U.S. Globec Georges.
Climate forcing of C. finmarchicus populations of the North Atlantic WHOI PIs: D. McGillicuddy and P. Wiebe UConn PI: A. Bucklin Rutgers PIs: D. Haidvogel.
US GLOBEC NWA Program Phase 4B Synthesis Workshop 10/2-3/2006 – 507 Clark Laboratory, WHOI Logistics Logistics – Continental breakfast today & tomorrow.
Neocalanus spp. and the Structure of the Pelagic Ecosystem in the Subarctic Pacific Ocean M. Dagg, Louisiana Universities Marine Consortium H. Liu, Hong.
The Influence of Spatial Dynamics on Predation Mortality of Bering Sea Walleye Pollock Pat Livingston, Paul Spencer, Troy Buckley, Angie Greig, and Doug.
Climate Change and Subarctic Fisheries L. Hamilton ARCSS Synthesis Retreat, 2004.
Do environmental factors affect recruit per spawner anomalies in the Gulf of Maine - Southern New England region ? Jon Brodziak and Loretta O’Brien NOAA.
Introduction Egg production in copepod species may be the largest component of copepod production and is a parameter routinely monitored in ecosystem studies.
OEAS 604: Final Exam Tuesday, 8 December 8:30 – 11:30 pm Room 3200, Research Innovation Building I Exam is cumulative Questions similar to quizzes with.
Incorporation of Climate-Ocean Information in Short- and Medium Term Sprat Predictions in the Baltic Sea Acknowledgements: ICES Baltic Fish. Assess. WG.
Warming climate alters the biogeography of the southeast Bering Sea 1 Joint Institute for the Study of the Atmosphere and the Oceans, University of Washington.
Ecosystem Studies of Sub-Arctic Seas (ESSAS) and Bering Sea Ecosystem Study (BEST) A Basis for Cooperative Norwegian - United States Research on Sustainable.
The influence of climate on cod, capelin and herring in the Barents Sea Dag Ø. Hjermann (CEES, Oslo) Nils Chr. Stenseth (CEES, Oslo & IMR, Bergen) Geir.
Acknowledgments Awesome research technicians: Carla Maria Delfino and Kayt Chambers Funding: This research is supported by the U.S. GLOBEC Northeast Pacific.
Expected Changes in the Climate Forcing of Alaskan Waters in Late Summer/Early Fall Nicholas A. Bond 1 James E. Overland 2 and Muyin Wang 1 1 University.
North Pacific Climate Regimes and Ecosystem Productivity (NPCREP) NOAA Fisheries Ned Cyr NOAA Fisheries Service Office of Science and Technology Silver.
Presented by: Khiem Phan. OUTLINE I. Introduction II. Materials and Methods III. Results IV. Conclusions
IMPLICATIONS OF CLIMATE CHANGE FOR NORTH AMERICAN WOOD WARBLERS (PARULIDAE) Paul K. Strode INTRODUCTION Recent investigations of long-term ecological data.
Tracking life history of each particle Particles could be divided into three groups (Fig. 7) The red group’s period of copepodite stage shortened when.
Life histories of Calanus species in the North Atlantic and North Pacific Ocean and responses to climate forcing Jeffrey Runge and Andrew Pershing, University.
What is the Darwin Project? Goals Investigators Funding
Sea Surface Temperature as a Trigger of Butterfish Migration: A Study of Fall Phenology Amelia Snow1, John Manderson2, Josh Kohut1, Laura Palamara1, Oscar.
Climate change research in the Gulf of Alaska
Climate Change and Alaskan Fisheries
Presentation transcript:

Obey the LAW: Calanus finmarchicus dormancy explained Jeffrey Runge School of Marine Sciences, University of Maine and Gulf of Maine Research Institute Andrew Leising NOAA, Southwest Fisheries Science Center Catherine Johnson University of British Columbia

Objectives: Identify environmental processes that control dormancy in Calanus finmarchicus Develop a mechanistic understanding of dormancy for inclusion in population dynamics modeling Approach: Compile Calanus and environmental data across regions in the NW Atlantic Look for common patterns and cues Using individual-based models, develop quantitative hypotheses to explain patterns

Proxies for dormancy entry and exit Entry: Fifth copepodid (CV) half-max proxy Dormant when… CV proportion >= x-bar /2 where x-bar = average max. CV proportion over all years 1.Exit: Emergence when… 1. Adult (CVI) proportion >= Back-calculation from early copepodid appearance, using development time-temperature relationship Copepodids Nauplii Adults Dormancy at CV stage

Data sources Data from: DFO – AZMP: 1999 – 2005 (E.Head, P.Pepin) DFO – IML:1990 – 1991 (S. Plourde, P. Joly) US-GLOBEC: 1995 – 1999 (E. DurbIn, M. Casas) PULSE – NEC: 2003 – 2005 (R. Jones)

AG: Anticosti Gyre, NW Gulf of St. Lawrence Stage Proportion Abundance (no. m -2 )

Photoperiod at emergence and onset Rimouski Anticosti Gyre Newfoundland Scotian Shelf Daylength (h) Day of Year Emergence date Previous and next date

Temperature at 5 m Temperature (°C) Rimouski Anticosti Gyre Newfoundland Scotian Shelf Onset Emergence

Climatological temperature at 5 m Onset Emergence Rimouski Anticosti Gyre Newfoundland Scotian Shelf Temperature (°C)

Mean chlorophyll-a, 0 – 50 m Chl-a (mg m -3 ) Rimouski Anticosti Gyre Newfoundland Scotian Shelf Chl-a values truncated at 1.6 mg m -3 (threshold for growth) Onset Emergence

Conclusions No single observed environmental cue explains dormancy patterns Dormancy entry and emergence occur over a broad range of times, both among individuals and years

Conclusions No single observed environmental cue explains dormancy patterns Dormancy entry and emergence occur over a broad range of times, both among individuals and years The mechanistic understanding of dormancy transitions must involve interaction of multiple environmental factors. We propose a “Lipid- Accumulation Window” hypothesis to explain observed life history patterns.

Growth of Neocalanus plumchrus copepodids in the southeastern Bering Sea

Development time is a function of temperature and food concentration in Calanus finmarchicus Campbell, R. M. Wagner, G. Teegarden, C. Boudreau and E. Durbin Growth and development rates of the copepod Calanus finmarchicus reared in the laboratory. Mar. Ecol. Prog. Ser. 221:

Miller et al Growth rules in the marine copepod genus Acartia. L&O. 22:

Lipid Accumulation Window hypothesis: Step 1 - Conditions allowing dormancy: suppose only copepods with > 50% lipid content can enter Integrated Temperature Integrated Food Fraction lipid content at end of CV stage

Lipid accumulation window hypothesis: Step 2 - Temporal Filter Time Favorable Env. Conditions Cumulative conditions that will allow dormancy in CIV and CV Lipid Threshold

Lipid accumulation window hypothesis: Step 2 - Temporal Filter Time Favorable Env. Conditions Cumulative conditions that will allow dormancy Resulting period when they go dormant

Lipid accumulation window hypothesis: Step 3 - Predation Filter Time Favorable Env. Conditions Predation Removal here Resulting population entering dormancy Missing cohort here

Lipid accumulation window hypothesis: Step 4 - Emergence Timing linked to Entry Emergence survival linked to entry and Env. Time Favorable Env. Conditions Jan Population entering dormancy Population exiting dormancy Successful females Dormancy Length, f(T during dormancy,% lipids at entry)

Testing the hypothesis 1.Identify lipid accumulation windows by starting individual-based model runs, driven by temperature and chlorophyll, at each date Time  Chlorophyll (mg m -3 ) Temperature (°C) … Potential lipid accumulation Time  Threshold for onset of dormancy 2. CVs produced during the lipid accumulation window can enter dormancy

Utility of the model for this calculation Growth and development are decoupled Ability to include temporally variable forcing data (food and temperature) Can include or ignore predation filter Mechanistic and physiological basis for growth and development

Example Results for C. pacificus Top figure is based on climatology from NH20, Newport Line, OR; Bottom figure based on SCB climatology In the south, copepods spawned as early as day 50 can enter dormancy, whereas in the north, it’s 40 days later. Peak dormancy entrance date is between days in the S, and between days in N. Predation during the “Green” period would remove potentially successful copepods Suboptimal cold temperatures(and low food) in the N during the early part of the year limit success then, whereas overly warm temperatures later in the year limit success in S during that time (recall the optimal window)

Final Conclusions Our findings for C. finmarchicus, C. pacificus and C. marshallae strongly suggest that multiple environmental factors are the likely cues for dormancy, as these copepods enter and exit dormancy over a wide range of times and conditions. Our modeling results (for C. pacificus so far) suggest that lipid accumulation (or some equivalent storage compound) is a likely player in how dormancy is triggered. OBEY THE LAW!!!!

Implications Previous coupled 3-d physical-biological models of Calanus have forced dormancy transitions empirically using an advective-diffusive approach While these models provide diagnostic insight, they cannot be used for prediction A mechanistic, coupled IBM-physical model that tracks lipid accumulation is needed to understand and predict Calanus population responses to climate changes

Final Conclusions Our findings for C. finmarchicus, C. pacificus and C. marshallae strongly suggest that multiple environmental factors are the likely cues for dormancy, as these copepods enter and exit dormancy over a wide range of times and conditions. Our modeling results (for C. pacificus so far) suggest that lipid accumulation (or some equivalent storage compound) is a likely player in how dormancy is triggered.

Lipid accumulation window hypothesis: Step 1 - Conditions allowing dormancy Calanus pacificus, simulated growth under constant conditions

Lipid accumulation window hypothesis: Step 1 - Suppose only copepods with > 50% lipid can enter

Lipid accumulation window hypothesis: Step 1 - These “fat” copepods are also the larger copepods Optimal Food/Temperature Window