The Effects of Climate Change on Harp Seals (Pagophilus groenlandicus)
by David W. Johnston1*, Matthew T. Bowers1, Ari S. Friedlaender1, David M. Lavigne2
We
are currently witnessing significant changes in high latitude
ecosystems, manifested most noticeably by rapid declines in the extent
of summer ice, significant reductions in perennial ice cover, and
declines in sea ice thickness in Arctic and Antarctic regions [1].
Some predictions indicate that annual circumpolar sea ice cover in the Arctic may decline by 20% by 2050 [2], with the possibility of ice-free summers by 2037 [3].
Rapid changes in
temperature and ice conditions in Arctic ecosystems pose significant
challenges for marine mammals that use sea ice as a platform for
breeding and social activity (for reviews, see [4], [5] and [6]).
Research conducted to date has tended to focus on waning summer sea ice
and the effects on Arctic marine mammals resulting from changes in
marine productivity or habitat availability. Less attention has been
paid to how changes in seasonal sea ice in adjacent sub-Arctic regions
are changing over time.
Perhaps most importantly, few studies actually
assess the extent to which ice conditions are changing at the spatial
and temporal scales relevant to sub-Arctic pinnipeds that rely on
seasonal ice during the critical breeding period.
[Note: David W. Johnston is scheduled to appear on Gorilla Radio Monday February 6th at 5pm pacific time.]
Introduction Top
Harp seals ( Pagophilus groenlandicus) rely on seasonal sea ice as a substrate for pupping and nursing their young [7].
Harp seals have evolved to use transient sea ice as a breeding
substrate and have adopted specific life history traits to succeed in
this ephemeral environment, including a truncated nursing period (ca. 12
days) after which mothers wean their pups [7].
Despite this adaptation, significant changes in the quality and
quantity of ice habitat, and the timing of ice availability for breeding
seals may have serious consequences for their populations.
During winters, the
North Atlantic Oscillation (NAO) is the dominant pattern in climate
variability across the North Atlantic, shaping environmental conditions
from Canada to Russia [8]. The NAO index is calculated as the difference in atmospheric pressure between a subtropical high and a polar low [8].
Recent analyses of sea ice dynamics in the breeding habitats of harp
seals have revealed that the NAO can greatly effect the quantity and
quality of ice available to seals [9] and how persistent these habitats are during spring breakup [10],
but no studies have explicitly linked changes in seasonal sea ice
driven by NAO variability with effects on seal mortality. In years with
reduced ice cover and rapid ice melting, harp seals reportedly suffer
significant neonatal mortality [4], [11].
The purpose of the
present study was threefold. First, we tested the hypothesis that light
ice years in the Northwest Atlantic result in increased neonatal
mortality of seals by regressing the number of recorded strandings of
dead harp seal pups in the Northeastern United States [12]
– an index of natural mortality – against ice cover values from the
Gulf of St. Lawrence (the most proximate breeding region) and NAO index
values. Building on this relationship, and the established links between
ice cover and NAO conditions, we then conducted a retrospective
cross-correlation analysis of sea ice and NAO conditions in two breeding
regions of harp seals (Figure 1)
to assess how changes in ice cover relate to historical observations of
neonatal mortality and observed population trends. Finally, we tested
the hypothesis that longer-term climate change is affecting the amount
of sea ice in the breeding regions of harp seals using linear multiple
regression models and linear mixed effects regression models that
account for shorter-term variation in ice cover driven by the NAO.
Figure 1. The breeding regions of harp seals (Pagophilus groenlandicus) and patterns of the North Atlantic Oscillation (NAO).
Red
dots illustrate the general breeding locations of harp seals and the
effects of both positive (+) and negative (−) phases of the winter NAO
on these regions are indicated.
doi:10.1371/journal.pone.0029158.g001
This
series of analyses allows us to 1) establish the links between ice
cover, NAO conditions and patterns in first year seal mortality over
time, 2) provide a novel perspective on previously observed changes in
harp seal populations in relation to climate variability and 3)
characterize the longer-term warming signal present in sea ice
variability in the breeding regions of harp seals across the North
Atlantic.
1
Duke University Marine Laboratory, Division of Marine Science and
Conservation, Nicholas School of the Environment, Duke University,
Beaufort, North Carolina, United States of America, 2 International Fund for Animal Welfare, Guelph, Ontario, Canada
Abstract Top
Harp seals (Pagophilus groenlandicus)
have evolved life history strategies to exploit seasonal sea ice as a
breeding platform. As such, individuals are prepared to deal with
fluctuations in the quantity and quality of ice in their breeding areas.
It remains unclear, however, how shifts in climate may affect seal
populations. The present study assesses the effects of climate change on
harp seals through three linked analyses. First, we tested the effects
of short-term climate variability on young-of-the year harp seal
mortality using a linear regression of sea ice cover in the Gulf of St.
Lawrence against stranding rates of dead harp seals in the region during
1992 to 2010. A similar regression of stranding rates and North
Atlantic Oscillation (NAO) index values was also conducted. These
analyses revealed negative correlations between both ice cover and NAO
conditions and seal mortality, indicating that lighter ice cover and
lower NAO values result in higher mortality. A retrospective
cross-correlation analysis of NAO conditions and sea ice cover from 1978
to 2011 revealed that NAO-related changes in sea ice may have
contributed to the depletion of seals on the east coast of Canada during
1950 to 1972, and to their recovery during 1973 to 2000. This
historical retrospective also reveals opposite links between neonatal
mortality in harp seals in the Northeast Atlantic and NAO phase.
Finally, an assessment of the long-term trends in sea ice cover in the
breeding regions of harp seals across the entire North Atlantic during
1979 through 2011 using multiple linear regression models and mixed
effects linear regression models revealed that sea ice cover in all harp
seal breeding regions has been declining by as much as 6 percent per
decade over the time series of available satellite data.
Citation: Johnston DW, Bowers MT, Friedlaender AS, Lavigne DM (2012) The Effects of Climate Change on Harp Seals (Pagophilus groenlandicus). PLoS ONE 7(1):
e29158.
doi:10.1371/journal.pone.0029158
Editor: Mary O'Connor, University of British Columbia, Canada
Received: May 17, 2011; Accepted: November 22, 2011; Published: January 4, 2012
Copyright:
© 2012 Johnston et al. This is an open-access article distributed under
the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funding:
This work was funded by the Duke University Marine Laboratory and the
International Fund for Animal Welfare. The funders had no role in study
design, data collection and analysis or decision to publish the
manuscript.
Competing interests: Author DML is
the Scientific Advisor for the International Fund for Animal Welfare,
the organization which helped fund this research. This does not alter
the authors′ adherence to all the PLoS ONE policies on sharing data and
materials.
Methods Top
Study Region and Time Frame
To illustrate
the recent links between sea ice cover and seal mortality, we used
stranding data for dead harp seal pups extracted from the US
Northeastern Region stranding dataset covering marine mammal strandings
in the Northeastern US from 1993 to 2010 [12], [13].
We then compared these values with sea ice cover data from the Gulf of
St. Lawrence during the same time period using linear regression
techniques.
For the
retrospective analysis of NAO conditions and sea ice, we considered
patterns in sea ice cover in two breeding regions of harp seals – the
Gulf of St. Lawrence in eastern Canada, and the White Sea region between
Norway and Russia – in relation to historical variability in the NAO (Figure 1).
These two locations represent the opposite ends of relationships
between NAO and sea ice conditions established previously with a shorter
time series [9].
We then compared these relationships within a retrospective assessment
of published harp seal neonatal mortality data in these regions during
1940 to 2011 [11], [14].
We then
conducted a wider examination of sea ice cover across all four breeding
locations of harp seals (the above mentioned locations plus the Front
off Newfoundland and the West Ice region in the Greenland Sea – see Figure 1) during 1978 to 2011 to assess longer-term trends in sea ice cover across the entire North Atlantic.
Satellite-derived measures of sea ice cover
We employed
sea ice coverage data produced by the US National Sea Ice Data Centre
(NSIDC) in Boulder, Colorado, for 1979 to 2011 during February and
March, the breeding season of harp seals. These values were derived from
NASA Nimbus-7 Scanning Multi-channel Microwave Radiometer (SSMR) data
(1979–1987), Defense Meteorological Satellite Program (DMSP) Special
Sensor Microwave/Imager (SSM/I) data (satellites F8, F11, and F13 for
1987–2007 – see [15]) and DMSP F17 SSM/I data for 2009 through 2011 [16].
We used mean monthly ice coverages for both breeding sites for all
years up to 2007, when the DMSP F13 satellite was lost, after which we
used daily ice coverages and averaged the grid values to produce monthly
means of sea ice concentration (%) in spatially-explicit harp seal
breeding regions defined previously in [9].
North Atlantic Oscillation Indices
To assess
historical changes in climate and sea ice conditions we used winter
(December through March) NAO index values (Climate Analysis Section,
NCAR, Boulder, USA, Hurrell 1995). These data are based on the
difference of normalized sea level pressure between Lisbon, Portugal and
Stykkisholmur/Reykjavik, Iceland since 1864.
Sea ice cover and seal mortality
The effects of
changing ice conditions on seal neonatal mortality rates have not been
investigated consistently over time, although previous studies indicate
that when ice conditions are heavy mortality is generally low (e.g.
1.1–1.4%) [17], and when ice conditions are light it is much higher [11].
To establish current links between changing ice conditions and seal
neonatal mortality, we conducted a linear regression of
satellite-derived values of sea ice concentration in the Gulf of St.
Lawrence during February against yearly stranding rates of dead
young-of-the-year (YOY) harp seals in the Northeastern United States
(JMP 8.0, SAS Institute) - as an index of natural mortality rates.
Specifically, we used stranding network data for the northeastern US
Atlantic coast (Maine to Rhode Island) from the Northeast Regional
Office of NOAA's National Marine Fisheries Service Marine Mammal
Stranding Network during 1993 to 2010 [12], [13].
Since age class was not identified for many of the stranded animals, we
calculated the distribution of standard length for identified YOY
seals. We then tallied the number of stranded animals in the database
whose lengths were less than 1 standard deviation over the mean length
of this sample (year 1 animals) and regressed these data against ice
cover for that year in the Gulf of St. Lawrence. A similar regression of
NAO index values against stranding numbers of dead seals was also
conducted to further link seal mortality with climate variability.
Linking NAO Index Values with Current and Historic Sea Ice Conditions
Satellite-derived
values of sea ice concentration were employed to further assess the
relationship between winter NAO values and sea ice concentrations
identified previously in [10] and [9].
This represents an extension of 5 years to previous time series
analyses of ice in the breeding regions of harp seals. We visualized the
general trajectory of this time series by fitting a smoothing spline to
winter NAO index values using JMP Ver 8.0 (SAS Institute). To confirm
previously established linkages between NAO phase and ice conditions, we
then conducted a cross-correlation analysis on the NAO and sea ice time
series (1979 to 2011) in the Gulf of St. Lawrence and the White Sea
breeding regions using JMP 8.0 (SAS Institute). This analysis provides
for strong inference on ice conditions in both locations over the
extended historical NAO time series.
Long-term trends of sea ice in harp seal breeding habitats
To investigate
the interaction of the NAO with long term trends in ice concentration
we initially constructed 3-dimensional wire plots of multiple linear
regressions of sea ice concentration against NAO index value, and year
for all four breeding regions using the lattice package in R [18].
We statistically assessed ice concentration trends in all four harp
seal breeding regions for the months of February and March by fitting a
linear mixed effects regression model for each month using the lme4
package in R [19].
These two models included year as a fixed effect and to account for
variation caused by the NAO within each region, monthly NAO index values
were used as random effects with regions as a grouping factor where:

Mixed
effects models are advantageous in that they allow modeling and
forecasting of non-stationary changes inherent in climate data through
the inclusion of predictors as fixed or random effect variables [20].
Results Top
A
total of 365 dead harp seals specifically identified and reported as
YOY animals stranded in the Northeastern US during 1993 to 2010. The
distribution of standard lengths was normal (Shapiro-Wilk test,
p>0.05) and the mean length of YOY animals was 105 cm with a SD of
9.5 cm. Using the upper range of lengths (115 cm) and avoiding animals
listed specifically as sub-adults regardless of standard length, we then
identified a total of 693 YOY seals in the stranding database and
extracted these records for linear regression modeling. The linear
regression of seal strandings against ice cover in the Gulf of St.
Lawrence (the most proximate breeding location) is presented in Figure 2 (A). The regression model revealed a strong negative correlation between ice cover and stranding rates (n = 18, p = 0.008, r2
= 0.37), where lighter ice conditions correlate with increased numbers
of stranded dead seals. The regression of NAO index values and seal
mortality (Figure 2 B) revealed a similar but less robust relationship (n = 18, p = 0.09, r2 = 0.16). See Table 1 for details on both ice cover and NAO regressions.
Figure 2. The relationships between harp seal neonatal mortality, the North Atlantic Oscillation (NAO) and sea ice cover.
Panel
A represents a linear regression of February sea ice cover in the Gulf
of St. Lawrence against stranding rates of dead young-of-the-year harp
seals in the Northeastern United States. Panel B represents a linear
regression of February sea ice cover in the Gulf of St. Lawrence and
winter North Atlantic Oscillation (NAO) index values.
doi:10.1371/journal.pone.0029158.g002
Table 1. Term
estimates and standard errors for linear regressions of yearly
stranding numbers of dead young-of-the-year harp seals in the
Northeastern United States and (A) February sea ice cover in the Gulf of
St. Lawrence breeding region and (B) winter North Atlantic Oscillation
(NAO) index values. doi:10.1371/journal.pone.0029158.t001
The
relationships between sea ice conditions and NAO index in the White Sea
and Gulf of St. Lawrence breeding regions during March 1979 to 2011 are
presented in Figure 3 (A).
As predicted, eastern North Atlantic sea ice cover and NAO conditions
were out of phase – with heavier ice cover during negative NAO periods
and lighter ice cover during positive NAO periods. In contrast, western
North Atlantic ice conditions were in phase with NAO conditions – with
heavier ice cover during positive NAO conditions and lighter ice cover
during negative NAO periods.
Figure 3. Retrospective analysis of winter North Atlantic Oscillation (NAO) index during 1865 to 2011 and sea ice conditions.
Panel
A illustrates the time series fit with a smoothing spline to illustrate
the general pattern of the climatic signal. The inset (B) illustrates
the relationships between sea ice cover and NAO conditions in the
Eastern North Atlantic (out of phase) and Western North Atlantic (in
phase). Observed effects of NAO phase on neonatal mortality of harp
seals (Pagophilus groenlandicus) indicated for extended negative and positive NAO phases.
doi:10.1371/journal.pone.0029158.g003
The general trajectory of the winter NAO index from 1865 to 2011 is illustrated in Figure 3 (B). During 1949 to 1973, the winter NAO index was consistently negative. 1During this period ice conditions were heavy in the 1western North Atlantic, and light in the 1Northeast Atlantic.
Following this, there was an extended positive period of winter NAO
averages during 1974 to 2004. Ice conditions in the Northeast Atlantic
were light during this period, and heavy ice conditions prevailed during
this time in the Northwest Atlantic. These general relationships have
been partially described previously [9], [10]. Subsequent to 2004, it appears that neutral to negative winter NAO indices have become dominant (Figure 3 B).
A series of
three-dimensional wire plots that display the linear relationships
between sea ice cover in harp seal breeding regions during the month of
February as a function of NAO index over our entire time series (1979 to
2011) are presented in Figure 4.
The results for March showed similar but less extreme declines of sea
ice concentration over time. Both multiple regression models (February
and March) were significant (p<0.05), and year was a significant
predictor for sea ice concentration in February (p<0.05) and
approached significance for March (p = 0.08). The multiple r-squared
values for these regressions were low (0.12 and 0.09, for February and
March respectively) due to variation in NAO effects on ice cover. These
plots are useful, however, as they graphically illustrate the general
relationships between sea ice cover and NAO conditions revealed by our
mixed effects regression models.
Figure 4. Changes in sea ice cover in harp seal breeding regions.
These
wireframe plots illustrate satellite-derived measures of sea ice cover
during the month of February at all four breeding regions of harp seals (Pagophilus groenlandicus) in relation to winter North Atlantic Oscillation (NAO) index values during 1979 to 2011.
doi:10.1371/journal.pone.0029158.g004
The
results of our mixed effects models reveal a statistically significant
annual decline of sea ice cover in all four breeding regions during the
study period, regardless of variation in NAO conditions. Both monthly
model coefficients were significant at the 95% percent confidence
interval. February ice concentration declined at a rate of 0.63±0.12%
per year from 1979 to 2011 (table 1). The model for March revealed a smaller annual decline of 0.41±0.13% over the same time span (Table 2). Group level effects fell in line with expected values for each region (Table 3), although the influence of the NAO on ice in the West Ice region was negligible.
Table 2. Fixed
effects for mixed-effects regression model of sea ice cover in the Gulf
of St. Lawrence (GOSL), the Front, the West Ice and White Sea breeding
regions of harp seals (Pagophilus groenlandicus. doi:10.1371/journal.pone.0029158.t002
Table 3. Group
effects for mixed-effects model of sea ice cover in the Gulf of St.
Lawrence (GOSL), the Front, the West Ice and White Sea breeding regions
of harp seals (Pagophilus groenlandicus). doi:10.1371/journal.pone.0029158.t003
Discussion Top
Short-term Climate Variability
The linear
regressions of ice cover in the Gulf of St. Lawrence and NAO index
values against stranding rates of YOY seals in the Northeastern US
provide a useful proxy for changes in seal mortality associated with
reductions in ice cover driven by NAO variability in the Northwestern
Atlantic. Strandings data from the same region have been used previously
to assess spatial patterns in stranding rates of ice seals [12], as well as to assess patterns in neonatal mortality rates of right whales (Eubaleana glacialis) in the same region [21].
Indeed, large scale assessments of stranding data in relation to visual
survey data from several countries indicate that assessments of
stranding rates often outperform visual surveys in determining local
diversity, and they are extremely useful for studying spatial and
temporal ecology of marine mammal populations, especially for time
series greater than 10 years [13].
Our regressions reveal that an increase in first year seal mortality
occurs in years with lighter ice cover and lower NAO index values,
consistent with earlier qualitative observations reported in the
literature [10], [11], [12].
North Atlantic
Oscillation conditions greatly affect sea ice dynamics in harp seal
breeding regions. When the winter NAO is negative, sea ice cover tends
to be below average in the breeding locations of harp seals on the east
coast of Canada and this has contributed to significant mortality of
neonatal harp seals through a combination of interrupted nursing,
starvation, cold stress and crushing by shifting floes when prematurely
forced into the water by the rapid melting and break-up of ice [11].
While natural
mortality rates for this population (or indeed for any other population
of ice seals) have not been produced for the range of ice/NAO conditions
captured by our times series, our linear regression of ice cover and
stranded dead harp seals in the Northeastern US provides further
evidence that young harp seals fare poorly in light ice years.
This is not a
recent phenomenon. For example, harp seals were forced to prematurely
vacate whelping patches in the Gulf of St. Lawrence during the winter of
1966 [11], a strongly negative NAO year. Ice records indicate that 1966 was a light ice year in eastern Canada [11]
and the station-based NAO index value for this year was −1.86. In 1969
the winter NAO value was also strongly negative (−4.89) and sea ice
cover in the Gulf of St. Lawrence was the lowest on record [10].
During this year thousands of seals were crushed in moving ice, or were
prematurely forced to vacate whelping patches during rapid ice breakup [11].
In 1998 and 1999, both years with low winter NAO indices and light ice
conditions, thousands of dead seals washed ashore on the beaches of Cape
Breton [22].
Light ice conditions have been observed during 11 of the past 14 years
(1996–2011) in the Gulf of St. Lawrence, and many of these years exhibit
significant negative winter NAO anomalies and in many cases high seal
mortality [23]. Indeed, in recent years (1996 onwards) the winter NAO has exhibited a greater number of neutral and negative periods (Figure 2 A), indicating that a switch to a more consistently negative phase - as seen in the 1950s through the 1970s - may be occurring.
Harp seals numbers now appear to be plateauing in the Northwest Atlantic off eastern Canada [24],
concomitant with a downward trend in NAO indices and increasingly light
ice conditions during 1996 to 2010. In recent years neonatal mortality
has been extremely high, and potentially resulted in the loss of entire
year classes in the southern Gulf of St. Lawrence [4], [23].
The second latest year in our time series (2010) is no exception to
this link between NAO index, ice conditions and neonatal mortality. In
that year, the winter NAO index value dropped to −4.64, ice conditions
were the lightest in the satellite record in the Gulf of St. Lawrence,
and harp seal neonatal mortality reportedly approached 100% in this
region [4].
A Novel Perspective on Fluctuating Harp Seal Populations
There have
been dramatic changes in the trajectory of harp seal populations across
the North Atlantic over time, and these fluctuations have never been
fully explained. Several hypotheses have been offered to explain
fluctuations in harp seal abundance across the Atlantic during our study
period, including overexploitation, by-catches and changes in prey
availability [14], [25]. However, none have addressed climate-related changes in breeding habitat as a significant source of mortality.
A large
reduction in harp seal abundance in the Northwest Atlantic occurred
during the 1950s through the early 1970s, with estimates ranging between
50 and 66% declines in seal numbers [11], [26]. Our retrospective assessment reveals that during this period the NAO was consistently negative (Figure 2 A). As sea ice conditions in the Northwest Atlantic are in phase with NAO conditions (Figure 1),
this period of time would have exhibited consistently light ice
conditions. Our retrospective analysis also reveals that 1973 to 2000
was period of consistently positive NAO conditions (Figure 2 A),
during which sea ice conditions in the Northwest Atlantic would have
been heavy and more conducive to successful reproduction in harp seals.
During this period the Northwest Atlantic harp seal population grew
consistently, with estimates surpassing 5 million animals [24].
Contrary to
the above relationship in the Northwest Atlantic, sea ice conditions in
the Northeast Atlantic (White Sea) are out of phase with the NAO (Figure 1 A); during positive NAO periods sea ice conditions tend to be light [9].
Harp seals in the Northeast Atlantic declined from approximately 1.5
million seals in the early 1950s to 500,000 in the early 1960s [14]. After this, the population recovered to approximately 800,000 by 1978 [14].
Soon thereafter, survival of neonatal harp seals in the Northeast
Atlantic declined, and remained low until the early 1990s. In
particular, neonatal mortality during 1986, 1987 and 1988 was extremely
high, resulting in an almost complete absence of these year classes when
sampled in the 1990s [14].
The period of increasing neonatal recruitment and abundance in
Northeast Atlantic harp seals (1960 to 1973) corresponds with the
extended negative NAO regime (Figure 2 A) during which sea ice cover was at or above average conditions in the Barents/White Sea region [9]. The period of decreasing recruitment in these animals (1982 to 1992) corresponds with the extended positive NAO regime (Figure 2 A) during which sea ice conditions were in decline or light [9].
Hunting
mortality may also affect the population dynamics of harp seals across
the Atlantic, especially when viewed as a cumulative stressor on
reproductive output of a population. Harp seals are hunted commercially
and for subsistence purposes across their range. In the Northwest
Atlantic, total landed catches of harp seals during the extended
negative NAO regime (1950 to 1972) were relatively high – ranging up to
389,410 seals annually. This hunt focused on newborn whitecoat pups [7].
Landed catches were smaller during the first part of the extended
positive NAO regime (1973 to 1982), ranging up to 202,169 seals.
However, from 1983 to 1995, catches dropped further to a maximum 94,046
seals per year and the focus of the hunt shifted from whitecoats to
older, moulted pups (beaters, aged about 3 weeks to 3 months). Catches
increased again during 1996 to 2005, ranging up to 365,971 seals [27].
It should be noted that in some regions the magnitude of hunting
mortality has been lower than the level of natural mortality reported in
poor ice years, when virtually all pups born (e.g. southern Gulf of St.
Lawrence) have reportedly died [4].
The results of
our retrospective analysis reveal that harp seal populations across the
Atlantic appear to have fluctuated in synchrony with NAO trends and
associated ice conditions. As such, we hypothesize that changing ice
conditions may have contributed to the population dynamics of harp seals
across the North Atlantic, most likely through periods of sustained
reproductive failure or success, coupled with hunting and other
environmental factors. Further research is required to assess how
combinations of removals by sealers and recent (1996 to 2011)
ice-induced increases in neonatal mortality will affect current and
future harp seal populations.
Long-term Sea Ice Trends in harp seal breeding locations
Our
mixed-effects model effectively extracts the long-term warming signal
from our time series of sea ice cover values that is dominated by NAO
variability. Our model indicates that sea ice in all harp seal breeding
regions is in decline regardless of the influence of the NAO, at a rate
of approximately 6% per decade in February, and 4% per decade in March
(this lower rate of decline likely stems from the fact that the majority
of sea ice loss happens in February). This overall decline is less
dramatic than recently observed conditions in eastern Canada (2000 to
2010), and it appears that the large scale effects of recent warming at
high latitudes may have been obscured in the Northwest Atlantic in part
by the effects of a consistently positive winter NAO regime on seasonal
sea ice development and persistence during 1980 to 2000.
Our results
are the first to illustrate that ice cover in the breeding habitats for
harp seals across the North Atlantic has been in decline since the
beginning of the satellite record of ice conditions (1979). Along with
observed increases in YOY mortality in the Northwest Atlantic harp seal
herds indicated above, the consistent decline in seasonal sea ice cover
across the North Atlantic has also resulted in a recent sharp reduction
in pup production in the White Sea harp seal population [28].
Recent records
of harp seals whelping off East Greenland (the West Ice) indicate that
some response of the animals to phenological shifts in breeding habitat
due to warming may be occurring [4], [29].
In the Northwest Atlantic, however, it appears that many seals have
been returning to traditional breeding grounds in the Gulf of St.
Lawrence and on the Front, off Newfoundland, regardless of ice
conditions. This observation may reflect a lack of plasticity in their
breeding system, which has likely evolved in response to a combination
of factors including photoperiod [30], predation pressure [7], [31]
and the long-term predictability of sea ice in traditional breeding
regions. Further research is required to assess the timing of ice
breakup and parturition patterns to determine how harp seals are
responding to rapid warming in their breeding regions. It should also be
noted that fitted values from mixed effects regression models are
generally considered conservative estimates. This is referred to as the
“shrinkage effect” [32].
In light of this, our model may underestimate total ice decline in the
breeding regions of harp seals over the time of our study.
Harp seals
have evolved to use seasonal sea ice as a breeding substrate and have
adopted specific life history traits to succeed in this environment.
Considering this, they are well suited to deal with natural shifts in
climate, including the effects of the NAO on sea ice conditions.
However, these animals may not be well adapted to absorb the cumulative
effects of human influences (primarily hunting and to a lesser extent
by-catch – which can be high in some years [33], [34]),
short-term climate variability and global warming. Other ice-associated
seals are also likely to be vulnerable to these combined effects, and
share many of the breeding regions and life history traits of harp
seals. In particular, hooded seals (Cystophora cristata) may be
especially at risk. The Northwest Atlantic stock appears to be stable
at present, but the Northeast Atlantic stock, which breeds on the West
Ice, off the east coast of Greenland, has declined by 85–90% over the
last 40–60 years, prompting a listing of this species as Vulnerable on the IUCN Red List of Threatened Species [35].
Acknowledgments Top
We are thankful for
the efforts of all marine mammal stranding network staff and volunteers
along the U.S. east coast, whose countless hours of fieldwork generated
the data on harp seal strandings used in this paper. We also thank M.
Garron from the Northeast Regional Office of NOAA's National Marine
Fisheries Service for helping to provide access to Level A stranding
data. We thank Tun Jan (TJ) Young for help updating the sea ice analysis
and Kerry Irish for editing the final manuscript. The manuscript was
improved with constructive comments from K. D. Hyrenbach and 3 anonymous
reviewers.
Author Contributions Top
Conceived
and designed the experiments: DWJ ASF DML. Performed the experiments:
DWJ ASF MTB. Analyzed the data: DWJ MTB. Wrote the paper: DWJ MTB ASF
DML.
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