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Untitled Document
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Module
2. Zooplankton production and advection
Participants:
Webjørn Melle (IMR)(Module leader), Geir Huse (IMR), Geir Ottersen
(IMR/BI, UoO)
Objective:
Explore the effects of ocean climate and circulation on the production
and advection of Calanus finmarchicus onto the northern
Norwegian Shelf and the Barents Sea.
We will
explore the effect of climate on the advection of C. finmarchicus to the
Northern Norway shelf areas and the Barents Sea by statistical analysis
of physical and biological time series data and model simulations.
Existing time series, available at the University of Bergen and Institute
of Marine Research, of meteorological, hydrographic, phytoplankton and
zooplankton data spanning the time period from the mid 1970-ies to present
will be used. The data represent seasonal area mapping of the Barents
and Norwegian Seas and repeated coverage of fixed transects, and fixed
stations (including Weather Station Mike). Russian data from the Norwegian
and Barents Seas will be part of the study if a bilateral cooperation
between PINRO and IMR can be established. Overview of the data is shown
in the table.
Statistical analysis of the time series will be applied to explore the
relationships between zooplankton concentration in the Norwegian Sea and
the adjacent continental shelves of the coast of northern Norway and the
Barents Sea. Further, the data will be compared to large-scale weather
pattern such as the NAO.
The statistical analysis will be complemented by a mechanistic, individual-based
model (IBM) of Calanus, that includes growth, mortality, reproduction,
and vertical migration. Vertical migration strategies documented in previous
studies will be implemented. The IBM will be used to investigate the interaction
between seasonal variation in advective forcing and vertical migration
of Calanus. The physical model described in Module 1 will generate
current velocities, phytoplankton abundance, and temperature fields to
be used in the IBM. In addition to the component advected from the Norwegian
Sea, there is local production of Calanus in the Barents Sea.
The model will be used to investigate how different climatic conditions
impact on the relative abundance of advected and local Calanus.
These issues will be addressed through hindcast analysis of years with
different climatic conditions from the period 1970-2000.
Available
data from UoB and IMR. Potentially available data from PINRO (Russia).
Russian data we wish to make available for the project through agreements
on collaboration between PINRO and IMR. After 1980, chlorophyll and
nutrients time series are available from where and when zooplankton time
series, conducted by IMR, are available.
| Data |
Data
holder |
Geographic
region |
Variable |
Time
period |
| Hydrography |
UoB |
Weather
St. M |
T,S |
1949-present |
| |
IMR |
Standard
sections; Norwegian Sea, Norwegian Shelf |
T,S |
1976-present |
| |
IMR |
Fixed
stations; Norwegian Shelf |
T,S |
1963-present |
| |
IMR |
Area
mapping; Norwegian Sea, Norwegian Shelf |
T,S |
1991-present |
| |
PINRO |
Standard
sections; Norwegian Sea, Norwegian Shelf |
T,S |
1954-present |
| |
IMR |
Standard
sections; Barents Sea |
T,S,
current |
1953-present |
| |
PINRO |
Standard
sections; Kola, Barents Sea |
T,S |
1900-present |
| Zooplankton |
IMR |
Weather
St. M |
Biomass,
abundance |
1949-1974,
1997-1998 |
| |
IMR |
Standard
sections; Norwegian Sea, Norwegian Shelf |
Biomass,
abundance |
1976-1981,
1991-present |
| |
IMR |
Fixed
stations; Norwegian Shelf |
Biomass,
abundance |
(1949)
1963-198? |
| |
IMR |
Area
mapping; Norwegian Sea, Norwegian Shelf |
Biomass,
abundance |
1977-present |
| |
PINRO |
Standard
sections and area mapping; Norwegian Sea, Norwegian Shelf, Barents
Sea |
Abundance |
1954-present |
| |
IMR |
Standard
sections; Barents Sea |
Biomass,
abundance |
1984-present |
| |
IMR |
Area
mapping; Barents Sea (Pro Mare and other projects) |
Biomass,
abundance |
1977-present |
| |
IMR |
Area
mapping; Barents Sea |
Biomass,
abundance |
1988-present |
| 0-group
fish |
IMR |
Barents
Sea |
Abundance,
length,
distribution |
1965-present |
Workplan:
- Retrieve
time series of meteorological, hydrographic, phytoplankton and zooplankton
data.
- Statistical
data analysis will be applied to study ecological patterns and examine
their links to climate variability. Both exploratory studies and confirmatory
studies will be applied. The analyses will focus on time series methods.
We will initially apply traditional linear autoregressive (ARIMA) models
(Box and Jenkins, 1976). Later on possibly nonlinear relations will
be examined by methods like treshhold autoregressive (TAR) and generalized
additive (GAM) modelling (Hastie and Tibshirani, 1990).
- Simulate
the advection of Calanus in selected years in a hindcast analysis
to elucidate how climatic variability and seasonal vertical migration
impacts on the rate of advection into the Barents Sea. Furthermore the
local production of Calanus will be compared with the advected
component under different environmental states.
- Disseminate
time series data and results of statistical analyses and model simulations
to Module 3.
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