Processes
controlling abundance of dominant copepod species on Georges Bank:
Local
dynamics and large-scale forcing
PIs:
Cabell Davis (WHOI), Robert Beardsley (WHOI), Changsheng Chen (UMassD),
Rubao Ji (WHOI), Edward Durbin (URI), David Townsend
(UMaine),
Jeffrey Runge (UNH), Charles Flagg (SUNY), Richard
Limeburner (WHOI)
Project
Summary
A fundamental goal of
Biological Oceanography is to understand how underlying biological-physical
interactions determine abundance of marine organisms. For animal populations, it is well known
that factors controlling survival during early life stages (i.e., recruitment)
are strong determinants of adult population size, but understanding these
processes has been difficult due to model and data limitations. Recent advances in numerical
modeling, together with new 3D data sets, provide a unique opportunity to study
in detail biological-physical processes controlling zooplankton population
size. We propose to use an existing
state-of-the-art biological/physical numerical model (FVCOM) together with the
recently-processed large 3D data set from the Georges Bank GLOBEC program to
conduct idealized and realistic numerical experiments that explore the detailed
mechanisms controlling seasonal evolution of spatial patterns in dominant
zooplankton species on
1. Background
The
GLOBEC approach —
Understanding complex marine ecosystems requires use of simplifying
assumptions, which historically has involved trophodynamic analysis of energy
or mass flow by measurement and modeling (Lindeman, 1942; Teal, 1962; Odum,
1957; Steele, 1974). In regions of
high diversity such as the oligotrophic ocean this approach remains the only
feasible method of analysis (e.g., Sarmiento et al., 1993). As an alternative in low diversity
regions, it is possible to model the population dynamics of a few dominant
species to understand processes controlling their abundance and to obtain
information about system level functioning (e.g.,
Georges
Bank GLOBEC: dominant zooplankton species —
Georges Bank was chosen as the first GLOBEC study site due to its sensitivity
to climate change, definable populations, importance as a fishing ground, and
significant historical database (GLOBEC, 1992). The goal of this program is to
understand the biological and physical processes controlling abundance of cod
and haddock larvae and their dominant prey species. In the program implementation plan we
emphasized the copepods Calanus
finmarchicus and Pseudocalanus
spp. as target species, since these are dominant prey items for larval cod and
haddock. Subsequent studies have
found that small copepods (Pseudocalanus
spp., Oithona similis, Centropages spp., Temora longicornis) are dominant prey items for cod and haddock
larvae on Georges and Western Banks (Lough and Mountain, 1996; Lough et al,
1996; McLaren and Avendano. 1995; McLaren et al., 1997). This contrasts sharply with the
situation in the eastern
1.1.
The
Local dynamics — Georges
Bank (GB), the Gulf of Maine (GOM), and Scotian Shelf (SS) are part of a single
regional coastal current system, driven in large part by upstream mass and
buoyancy forcing (Fig. 1). The bank itself is a quasi-flow-through system, with water from offshore and upstream sources arriving on
the bank, being modified locally by surface forcing and tidal mixing before
moving off-bank to the Mid-Atlantic Bight or re-circulated northward along the
Great South Channel.
The strongest currents over
the bank are of tidal origin, and turbulent mixing associated with the tidal
bottom boundary layer is most intense over the shallow cap of the bank,
effectively eliminating local vertical temperature and salinity stratification
throughout the year. As seasonal
stratification increases on the flanks of the bank, the tidal mixing front
forms with associated secondary flow. The clockwise around-bank residual flow
increases with seasonal stratification, becoming partially closed from June
through
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Figure 1. Circulation: 1 flow across GSC into the north flank jet, 2
tidal-pumping of deep water onto GB, 3 wind-driven near-surface flow, 4 small-scale cross-frontal processes, 5 SS
cross-over |
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Figure 2. Schematic of the western (Fratantoni and Pickart, 2005) |
September until fall storms
and surface cooling destroy the local stratification. Surface heating drives the development
of the seasonal thermocline.
Salinity on the bank is controlled by advective and mixing processes
along the northern and southern flanks.
On the southern flank salinity is influenced by on-bank intrusions of
saline shelf-break frontal water and very saline warm-core ring water (Fig.
1). Along the northern flank
salinity is controlled by advection from the western Gulf across the northern
Great South Channel (Fig. 1, 1), tidally-driven near-bottom residual flow (the
“tidal pump”, Fig. 1, 2), wind-driven near-surface flow (Fig. 1, 3),
small-scale cross-frontal processes (Fig. 1, 4), and intermittent cross-over of
low salinity SS surface water (Fig. 1, 5).
The tidal pump in particular provides a strong mechanism for bringing
deep water from
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Figure 3. Schematic showing the strong westward
penetration of LSW and northward position of the |
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Large-scale forcing — Water enters the GOM via two primary
paths: (1) the flow of relatively
fresh water above 100m from the SS and (2) warmer, more saline Slope Water (SW)
at depths greater than 100m through the Northeast Channel (NEC). The primary
source of SS water is the West Greenland/Labrador Current system, with
additional input from the St. Lawrence system (Fig. 2). As the Labrador Current
flows around the Grand Banks, the large shoaling in shelf-break depth from
~300m in the north to ~100m to the southwest helps force the deeper Labrador
Current water to flow along the upper slope, thus forming Labrador Slope Water
(LSW), which flows west into the Laurentian Channel and along the Scotian upper
slope. The westward extent of LSW depends on its source strength, thought to
depend on basin-scale forcing (NAO) (Fig 3), and degree of mixing with ambient
Warm Slope Water (WSW) of
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Fig. 4. GB salinity
anomaly (Mountain, 2005) |
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Fig. 5. Percent LSW in bottom water (150- 200 m) in 1998. (Drinkwater et al, 2003) |
Data from the 1995-1999 GB GLOBEC
field study provide an excellent example of the flow-through nature of the
GB/GOM system and its linkage to larger basin-scale forcing. The salinity on GB
exhibited two significant freshening events between early 1996 to early 1997
and between late 1997 through 1998, with a net drop of ~1 psu (Fig. 4). These
two events also were observed in surface (0-30m) GOM waters, suggesting
significant increases in freshwater influx from the SS (Smith et al.,
2001). In the NEC, WSW was replaced
by cooler, fresher LSW in January 1998 as the leading edge of LSW flow extended
west due to an increase in the Labrador Current associated with a low NAO. As
LSW entered the GOM during early 1998, it mixed with resident GOM water (Fig
5). By early 1999, WSW was again
flowing into the GOM through the NEC.
Since the tidal pump mechanism can carry deep water up on the northern
flank of GB, advection of LSW in Georges Basin onto the bank can occur on
relative short time scales (>=1 month), suggesting that part of the freshening
on GB observed during 1998 was due
to the influx of LSW into the GOM.
Clearly, variations in the primary upstream sources (the SS Water, the
mix of WSW versus LSW) linked to basin-scale forcing strongly control the water
properties (including heat, salt and nutrients) through the GOM and onto GB.
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Fig. 5a.
Scenario of nutrient input onto GB from the NEC (Townsend et al., 2004). |
1.2.
Connection
between NAO and plankton productivity on GB
NAO-dependent
intrusions of LSW and WSW through the NEC greatly influence the nutrient (N,
Si) input into the GOM. It is believed that the tidal pumping
mechanism along the northern edge of the bank can quickly transport nutrients
from
1.3. Characteristics of GB zooplankton
GB
zooplankton is dominated by Calanus
finmarchicus, Pseudocalanus spp., Oithona
similis, Centropages spp., and Temora
longicornis, and Paracalanus parvus
(Bigelow, 1926; Davis, 1984, 1987b; Sherman et al, 1987; Durbin et al., 2003; Durbin
and Casas, submitted). Each species exhibits a characteristic life cycle and
seasonal/spatial pattern in the GB/GOM region. Calanus
finmarchicus and Pseudocalanus
spp. are cold-water species that avoid the warm surface layer (>10-12oC)
during summer and fall and produce large spring populations. Centropages
spp, Temora, and Paracalanus are warm water species and are most abundant during
late summer and fall. Oithona is plentiful throughout the
GB/GOM region year round.
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Fig. 6. Calanus finmarchicus abundance (log10(#/10m2) in the GB/GOM, mean 1977-1987, (MARMAP data redrawn from Meise and OReilly, 1998). |
Calanus
finmarchicus— This
species spends the warmer months in a state of diapause as stage CV in cooler
waters (5-7 oC) at depth in the GOM (Fig. 6). During late December,
it emerges from diapause (mechanism unknown), swims to the surface and molts to
adult. Subsequent egg production
depends on availability of phytoplankton (Durbin et al., 2003), with the first
generation born in late December-early January (Durbin et al., 1997). Generation time is ~2 months at the cold
winter/spring temperatures (~5 oC), so G1 adults appear in March,
and there is time for a total of 3 generations by the end of its growing season
in July. Overwintering females
produce eggs for a prolonged period, smearing out cohorts (Durbin and Casas, submitted).
This annual cycle in the GB/GOM appears stable, having persisted for
many decades (Bigelow, 1926; Clarke et al, 1946; Meise-Munns et al., 1991), but
the extent to which this population is self-sustaining is unknown.
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Fig. 7. Calanus finmarchicus abundance in the |
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Calanus finmarchicus is an open ocean species, occurring throughout the
northern North Atlantic from the eastern US to the Barents Sea, with centers of
population abundance in the Norwegian and
It
may well be that the resident diapausing GOM population is sufficient to
produce the large spring GOM/GB population. At the end of the growing season,
downward migrating diapausing CVs cannot reach their normal open ocean depths
of 500-2000m, and they become trapped in the GOM basins. A similar effect has been observed on
the SS basins (Sameoto and Herman, 1990) and for C. pacificus in the
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Fig. 8. GLOBEC monthly mean Calanus abundance
on GB, showing abundance “hole” |
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Fig. 9. Pseudocalanus
abundance in the GB/GOM. MARMAP bi-monthly means 1977-1987 (from McGillicuddy
et al., 1998). |
Although
C. finmarchicus may be able to
sustain itself in the GB/GOM system, it does not maintain itself on GB, since
the bulk of the population disappears from the bank during the off-season (Fig.
6) and even during the growing season its abundance appears to be driven by GOM
concentrations, with a well-defined “hole” in abundance in the
center of the bank (Fig. 8, Durbin and Casas, submitted). This hole results from a combination of
advection around the bank of the large GOM population and possibly high predation
over the crest. A huge literature
exists for C. finmarchicus egg
production, development and growth as a function of food and temperature
including several studies done as part of the GLOBEC GB process work (Campbell
and Head, 2000; Campbell et al., 2001a,b; Runge et al. submitted). Such data can be incorporated into the
population model for this species and used together with the large field data
base to conduct targeted forward modeling to examine biological/physical
processes controlling observed patterns.
Pseudocalanus spp.— Like Calanus,
the growth season for Pseudocalanus
is winter/spring (Fig. 9, 10). Its
abundance is higher in shallower areas (<100m) and is highest in the crest
region of the bank in June. Pseudocalanus
does not overwinter in the GOM as does Calanus and is not normally
present in the central Gulf during winter.
This genus is an egg carrier and consequently has lower egg production
and egg mortality rates (Corkett and McLaren, 1978; Ohman et al., 2002). Pseudocalanus
in the GB/GOM
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Fig. 10. GLOBEC data for Pseudocalanus |
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Fig.
11. A) Temora, B) Centropages
hamatus C) Centropages typicus,
D) Oithona similis. Mean
monthly GLOBEC data for 1995-1999, A,B,D May; C January; log10(#/m3+1) |
region
comprises two species: P. newmani and P. moultoni (Frost, 1989; McLaren et
al., 1989a; Bucklin et al., 1998, 2001; McGillicuddy and Bucklin, 2002). P. moultoni appears to be a colder water species and more abundant
during winter/spring, while P. newmani
is more plentiful during spring/summer (McLaren et al., 1989a,b). P.
moultoni is a coastal species and P.
newmani an offshore one (Frost, 1989).
Thus P. moultoni may be
carried onto the bank from western GOM coastal waters (e.g.,
Other
Dominant Copepod Species —
Each dominant copepod species on GB has its own characteristic temporal-spatial
patterns and life histories (e.g.,
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Fig. 12.
Abundance trends in GB copepod, GLOBEC 1995-1999. |
Abundance
trends during the GLOBEC years —
Abundance of the dominant copepod species, except Calanus, increased significantly during the five-year GLOBEC GB
field program (Fig. 12.). While
this trend may reflect a change toward smaller species, indicative of a warming
trend, no concomitant increase in temperature was observed. These changes were
negatively correlated with salinity (Durbin and Casas, submitted.). High
abundances in 1999 appear to be related to a phytoplankton bloom that took
place during winter in the central
GOM, leading to high reproductive rates and abundances (Durbin et al 2003). The
elevated abundances may have been advected onto GB. It is possible that low surface salinity
during winter increased stability of the water column and led to the bloom. A
negative correlation between salinity and chlorophyll on GB also was found at
this time (Durbin and Casas, submitted), the reason for which is unknown. The proposed modeling work will examine
the potential causes of the zooplankton
increase and its relationship to large-scale forcing and climate change.
1.4.
Available
Data Sets
GLOBEC GB
— The GLOBEC GB field program was conducted from 1995-1999 and included a
combination of monthly broadscale and process-oriented cruises (GLOBEC, 1992;
Wiebe et al, 2002).
Broadscale cruises provided 3D maps of the plankton species based on net
tows (1-m2 MOCNESS, Wiebe et al., 1985) at a set of 41 standard
stations covering the bank and adjacent waters, and plankton pump sampling
(Durbin et al 1997, 2000) at ~18 of the standard stations. CTD bottle casts
were made at all stations. MOCNESS
(0.15 mm mesh nets) zooplankton samples were collected from 0-15, 15-40 m, and
40-100 m or the bottom (if shallower than 100 m) and 100 m to the bottom or 450
m (if >100 m). Pump (0.035-mm
nets) samples were collected over the same depth ranges as the MOCNESS in the
upper water column but the maximum depth it was deployed to was 70-100 m
depending on wind and tides, or to the bottom on shallower parts of the
bank. For complete description of
collection and processing methods see (Durbin et al. 1997; 2000). Samples were sorted, and processed data
now are available for all life stages of Calanus finmarchicus and Pseudocalanus
spp. (N1-N6, C1-Adult). For other copepod species life stages were sorted
as adult males and females, copepodids, and nauplii. These data are stored in
an Oracle database together with all of the CTD and chlorophyll data (http://globec.gso.uri.edu). The complete GLOBEC GB data set for
broadscale zooplankton includes >3500 net samples (41 stations, 3 depths, 30
cruises), plus >1500 pump samples (18 stations, 3 depths, 30 cruises). In addition, vertically stratified data
from several other cruises have been collected in deeper regions of the GOM.
Other Data Sets — Data from the bimonthly cruises of the
MARMAP program 1977-87 and its follow-on program, ECOMON (1992-present),
include shelf-wide distributions of hydrography and zooplankton (0.333mm
bongos). The complete data set is
available to us via an NMFS Oracle database (D. Mountain, pers. comm.) Although the zooplankton data are from
integrated hauls, these data cover a broader area than the GLOBEC GB data, and,
together with GLOBEC vertical data from deeper GOM, will allow us to
approximate 3D spatial patterns of each species throughout the GOM region. Further data from the GOM CPR transect,
transatlantic CPR,
1.5. Previous modeling
Several
previous biological/physical models of the GB/GOM region have been
developed.
1.6. Combining existing models and data
Over
the past decade, the GLOBEC GB program has acquired and processed an
exceptional 5-year 3D data set of plankton and physical variables, while at the
same time developing a high-resolution state-of-the-art prognostic 3D
biological/physical model of this region (FVCOM). Data processing and model development
recently have reached the point where they can be effectively combined. By the start of the proposed study, the
FVCOM model will have been ported to a massively-parallel supercomputer. We now
have the unique opportunity to use the data and model together to study the
detailed mechanisms controlling zooplankton abundance patterns on GB,
explicitly including boundary forcing determined by basin-scale dynamics.
We
have assembled a team of PIs who are leading experts on the plankton and
physical dynamics of this area.
Beardsley and Flagg are physical oceanographers with a long background
in this region. Chen is a physical oceanographer and developer of the FVCOM
model. Durbin is the scientist in charge of the broadscale data acquisition and
processing. Runge is an expert in
copepod biology specializing in Calanus
fertility and population dynamics.
Townsend is the lead scientist studying nutrient-plankton production in
the GB/GOM region.
2. Proposed
Research
2.1. Hypotheses
Working Hypothesis – The seasonal evolution of characteristic mean spatial abundance
patterns of each dominant copepod species on GB is predictable from the
interaction between its characteristic
life-history traits and physical transport. These life-history traits include egg
production, development, and growth rates (temperature/food dependent) as well
as other traits such as vertical migration and diapause. Both the long-term, multi-year, mean and
year-to-year variations in seasonal-spatial patterns are predictable by these
interactions. Within this working
hypothesis, we will address three specific null hypotheses:
H10: The
abundance of copepod species on the bank is controlled by food availability
(bottom-up control). Here we will
examine the scenario that GB productivity, and thus food availability for the
dominant copepod species, is controlled by nutrient input into the GOM through
the NEC, which is determined by the intrusions of Labrador Slope Water versus
Warm Slope Water. Alternative
hypotheses include: 1) predatory
control of copepod seasonal cycles (top-down control), 2) a combination of
food-limitation and predation (time-space dependent), and 3) purely physical
control by direct effects of temperature on vital rates or advection. In 3), we will examine causes of the
observed increase in warm-water copepod species during the GLOBEC years
(1995-1999).
H20:
Copepod populations on GB and/or the GOM region are not
self-sustaining. We will examine
the need for immigration from different sources to maintain the copepod
populations over multiple years.
Key source regions will be examined including the SS and SW. For self-sustainability on GB itself, we
will examine potential sources from the coastal regions (e.g.,
H30:
Catastrophic global warming (e.g., total polar ice melt), parameterized
as a lack of Labrador Sea water at the NEC, causes a regime shift on GB from
cold-water copepod species to warm-water ones.
2.2. Objectives
The
overall goal of the proposed study is to understand the underlying
biological-physical mechanisms controlling the seasonal development of spatial
patterns of dominant copepod species on GB. Our specific objectives are: 1) to
examine how local-dynamics and external forcing control the abundance of these
species on GB, 2) to determine the degree to which top-down versus bottom up
processes control the dominant copepod species on GB, and 3) to use existing
state-of-the-art 3D physical/biological numerical models together with existing
high-quality 3D data sets from the GLOBEC GB field program (and other
historical data sets), to conduct targeted numerical experiments that explore
the likelihood of the hypotheses listed above.
2.3. Methods
2.3.1. The Integrated Model System