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| Polar bears of western Hudson Bay and climate change |
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| Written by M.G. Dyck, W. Soon, R.K. Baydack, D.R. Legates, S. Baliunas, T.F. Ball, L.O. Hancock | ||||
| Tuesday, 24 July 2007 | ||||
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5. Extrapolating polar bear populations In light of these considerations we do not consider it a sound methodology to assume that local air temperature trends adequately explain WH population conditions and that extrapolating WH results generates predictions for polar bears and their habitat over the circumpolar Arctic (e.g., Stirling and Derocher, 1993; World Wide Fund for Nature 2002; Derocheret al., 2004). We take particular exception to the suggestion by Derocher et al. (2004, p. 163) that polar bears will not likely survive ‘‘as a species’’[5] if several computer-generated scenarios of air temperature-driven disappearance of sea-ice ‘‘by the middle of the present century’’ come true. The conjecture seems errant for two reasons. First, most climate models predict a complete disappearance of sea-ice over the central Arctic for only the late summer (i.e., September) while the whole Hudson Bay is always ice-free during this time regardless of the forcing by anthropogenic greenhouse gases(see for example Figs. 8 and 9 in Johannessen et al., 2004).Second, in the cited climate model projections, sea-ice at the Hudson Bay for the late winter or early spring (i.e., March) was never predicted to completely disappear by the end of this century, even under scenarios that posit greenhouse gas accumulations at rates considerably faster than currently or historically observed. In a recent multi-model study of climate projection in the Hudson Bay region, Gagnon and Gough(2005b, p. 291) concluded that ‘‘Hudson Bay is expected to remain completely ice covered in those five models by the end of this century for at least part of the year.’’ It should also be noted that Gough et al. (2004) had earlier reported that the observed thickening of sea-ice cover during the last few decades on the western coast of Hudson Bay was in direct contradiction to the thinning ice scenario that is posited by warming due to an enhanced CO2 atmosphere. Under these CO2-warming scenarios, the models predicted not only an earlier spring break-up of sea-ice but also later fall freeze-up at Hudson Bay (Gagnon and Gough, 2005b). Available observations from 1971 to 2003, by contrast, do not show any tendency for a later freeze-up of ice especially at WH or southwestern Hudson Bay (Stirling et al., 1999; Gagnon and Gough, 2005a). Further to the north, Melling (2002, pp. 2–18), in his study of sea-ice around the northern Canadian Arctic archipelago, concluded that ‘‘[i]nterannual fluctuations in late-summer ice coverage obscure any evidence of trend [in the Sverdrup Basin]. A decadal cycle contributes variability to the times series of both total and multiyear ice concentrations. Because the reputedly extreme conditions of 1998 are similar to occurrences in 1962 and 1971, there is little basis on which to view them as evidence for anthropogenic change.’ We therefore conclude that it is highly premature to argue for the extinction of polar bear across the circumpolar Arctic with in this century as incorrectly suggested in Derocher et al. (2004). Finally, we wish to encourage a renewed archaeological search for information related to polar bear population ecology from 1760 to 1820, when historical evidence (based on early thermometers at trading posts of Churchill Factory and York Factory) suggests that the climatic regimes at WH had shifted from temperate to arctic conditions (see Ball,1995; Catchpole, 1995). Ball (1983, 1986) documented large changes and abrupt shifts in both floral (i.e., tree line boundary between the boreal forest and the tundra) and fauna (i.e., migration of wild geese) ecosystem responses of the Hudson Bay region that occurred naturally as a consequence of the varying mean locations of the Arctic Front (Bryson, 1966). Ball (1995) suggested that the three consecutive decades from 1770 to 1800 at York Factory consisted of very wet and variable winter conditions oscillating between extremes of heavy snow versus almost snow-free conditions, which made the thriving of wildlife populations difficult. Heavy late winter rains, for example, have been proposed as a cause of the collapse of maternity dens, suffocating the occupants (Stirling and Derocher, 1993). Excessive snowfall was noted to alter oxygen flux through the snow layer of maternity dens and could negatively impacting survival rates of young altricial cubs that need to be nursed for 3 months before they are able to leave the den with their mothers (Derocher et al., 2004). The records compiled by Ball and Kingsley (1984) suggested an interval with a relatively warm late spring (April–May–June)at York Factory of about 2.9 8C for 1779, 1780, and 1782 (no data for 1781) when monthly air temperature readings were available from the Hudson Bay’s Company and Royal Society’s archives. These data may be applied to assess the resiliency of polar bears under adverse climate conditions. The latest research by Scott and Stirling (2002) have successfully dated, through sophisticated timing and fingerprinting techniques of dendro-sciences, polar bear maternity dens and dens activities inland from the coast of WH, south of Churchill and north of York Factory, since at least 1795,while reports of polar bears have been recorded at least since1619. These authors concluded that ‘‘there does not appear to be a relationship between climate trends and the rates of den disturbance during the overall 1850–1993 period’’ and that ‘‘changes in the frequency and pattern of disturbances at den sites may be related to the pattern of hunting and trading of hides at York Factory during the 19th and early20th century’’ (p. 163). Thus, the reality of human activity impacting population ecology of polar bears at WH is clear while empirical evidence for polar bear resiliency under extended records of weather extremes and a wide range of climatic conditions may be stronger than previously thought. 6. Conclusions The interactions among sea-ice, atmospheric and oceanic circulations, and air and sea temperatures are complex and our understanding of these issues in the Arctic context is limited. We suggest that large interannual variability, which we view as stochastic in nature (e.g., Wunsch, 1999), dominates the climatic changes in WH. Improved understanding of polar bear resiliency and adaptive strategy to climatic changes must consider human–bear interactions, natural population dynamics, and the dominant components of variability of the Arctic ice, ocean and atmosphere that operate naturally on decadal to multidecadal timescales (Vinje, 2001; Polyakov et al., 2003a,b; Soon, 2005). The clear evidence for strong regional differences in the spatial pattern of historical climate change around the Hudson Bay region add a layer of uncertainty to the task of explaining empirical evidence. It is certainly premature, if not impossible, to tie recent regional climatic variability in this part of central Canada to anthropogenic greenhouse gases and, further, to extrapolate species-level conditions on this basis. These complex interactions of man-made and natural factors will ultimately bring about particular ecosystem responses (perhaps yet unintelligible to us) but we find that late spring air temperature has not emerged as a decisive causal factor or reliable predictor. Such a complexity within the Hudson Bay’s ecosystem clearly challenges the usefulness of the original proposal in considering polar bears as indicators of climatic warming made by Stirling undercover (1993). The broad claim for the sea-ice to be ‘‘gone by the middle of the present century’’ could be both misleading and confusing in that existing model predictions are for the complete disappearance of late summer, rather than spring, sea-ice over the central Arctic ocean. Climate models actually expected Hudson Bay to be fully covered with sea-ice at least part of the year (including early spring) even under rather extreme forcing assumptions by involving rapid increases in anthropogenic greenhouse gases by the end of this century. This is why extrapolation studies arguing for severe negative impacts of polar bears under a global warming scenario are neither scientifically convincing nor appropriate. The fate of the charismatic polar bear population is of considerable public concern, and rightly so. Science can best contribute to the goals of conservation by providing the most accurate possible understanding of the factors affecting the population ecology of these impressive animals. Our concern in this paper is that if attention is inappropriately confined to a single mechanism, namely greenhouse warming, opportunities to understand other relevant mechanisms behind changes in bear population and health parameters may be lost in the process. It is also abundantly clear that relying on such a strict single-variable-driven scenarios of global warming by increasing atmospheric carbon dioxide and related melting sea-ice in discussing an issue as complex as the population and well being of polar bears runs counter to the underlying realities and challenges of ecological complexity that emphasizes at least the six co-dimensions of spatial, temporal, structural, process, behavioral and geometric complexities (as e.g., outlined in viewpoints of Li,2004; Loehle,2004; Cadenasso et al., 2006). Therefore, we believe it is premature to make the ‘‘one dimensional’’predictions about how climate change may affect polar bears in general and there is no ground for raising public alarm about any imminent extinction of Arctic polar bears. The multiple known and likely stresses interact dynamically and may contribute in an additive fashion to negative effects on polar bears. To quantify the severity of these stress co-factors, however, is very difficult, if not almost impossible, with current limitations on data. Areas of research we would particularly encourage include archaeological investigations, improved data on prey population dynamics, and examination of lower trophic levels to provide more insight into the proximate effects of climate change on Arctic species. We further suggest that the A circulation index may be useful in tracking the propagation of climatic and meteorological signals through the coupled ecosystems of the Arctic land and sea that promises only the undeniable complexity of multi-trophic level interactions(Fortier et al., 1996; Steinke et al., 2002; Hansen et al.,2003). Acknowledgements We thank our colleagues (especially those sharing our concerns for the well beings of polar bears) for important conversations and lessons throughout the years about this topic. We further thank R. McKitrick for performing the Granger causality tests on statistical associations shown in Fig. 2 of this paper and other substantial contributions. We are grateful for the constructive comments on earlier versions of the manuscript from S. Polischuk, S.-L. Han, and A. Derocher, which were critical for the improvement of the final version. (The open review on a 2002–2003 version of our manuscript by A. 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IUCN, Gland, Switzerland, and Cambridge, UK 192 pp. World Wide Fund for Nature, 2002. Vanishing Kingdom—The Melting Realm of the Polar Bear. World Wide Fund for Nature, Gland, Switzerland, 6 pp. Wunsch, C., 1999. The interpretation of short climate records, with comments on the North Atlantic and Southern Oscillations. Bull. Am. Meteorol. Soc. 80, 245–255. Zhang, J., Rothrock, D., Steele, M., 2000. Recent changes in Arctic sea ice: the interplay between ice dynamics and thermodynamics. J. Clim. 13, 3099–3114.[1] Stirling et al. (1999) relied on the mean air temperature results of Skinner et al. (1998).
[2] Our data source is the quality-controlled version of records from the NASA Goddard Institute for Space Studies web site: http://www.giss.nasa.gov/data/update/gistemp/station_data/. Churchill and Frobisher Bay data shown here are from the 7-station- and 5-station-merged records, respectively. Missing Churchill temperatures from NASA GISS database for 1993–1996 were replaced by data points from Churchill Airport given by CLIMVIS Global Summary of the day available from the U.S. National Climatic Data Center.
[3] Arctic Oscillation (AO) is a natural, planetary-scale pattern or mode of atmospheric circulation variability that is characterized by a seasaw of the air mass anomaly between the Arctic basin and the mid latitude zonal ring centered at about 458N. A high (positive) AO value is defined as lower-than-normal atmospheric pressure over the Arctic and colder stratosphere, which are associated with strong subpolar westerlies. A low (negative) AO value represents higher-than-normal Arctic atmospheric pressure, less cold polar stratosphere and weak subpolar westerlies. The AO index is available from http://horizon.atmos.colostate.edu/ao/Data/ index.html. Because of the relatively larger variability and stronger coupling of stratospheric and tropospheric air circulation during the cold season, AO is mainly a winter phenomenon However, AO has been demonstrated to be relevant to temperature and precipitation fields in other seasons as well (Gong and Ho, 2003; Kryjov, 2002; Overland et al., 2002). Please see Wallace (2000), Baldwin (2001) and Thompson and Wallace (2001) for complete tutorials. Although there have been several suggestions that the post-1969 or post-1989 AO index remained in an ‘unusual’, highly positive phase as a result of forcing by anthropogenic carbon dioxide, the current generation of climate models and modelling efforts are not sufficiently mature to confirm or refute such a proposal (Soon et al., 2001; Soon and Baliunas, 2003). Furthermore, it has been pointed out that AO index has been mostly neutral or negative in the most recent 9 years (1996–2004) despite the notable high-positive AO phase during the 1989–1995 interval earlier (e.g., Cohen and Barlow, 2005; Soon, 2005). Cohen and Barlow (2005) argued that even though the AO may contribute to regional warming in the Arctic and even the Northern Hemisphere for a particular period, but the pattern and magnitude of temperature signal induced by AO are physically quite different from the large-scale features produced by global warming trend in the last 30 years, thus disallowing any direct attribution of AO to radiative forcing by anthropogenic greenhouse gases.
[4] It should be noted that the tendency or trend for earlier spring sea ice break-up in WH from 1979 to 1998 pointed out by Stirling et al. (1999) is not statistically significant (with p = 0.07) under the authors’ own criterion and admission. Houser and Gough (2003) was also unable to demonstrate statistical significance in the trend of timing of the spring sea ice retreat at the Hudson Strait over the full interval from 1971 through 1999; although they suggest that an earlier spring ice retreat or break-up seems clear for the data starting 1990.Weargue that this new tendency may be related to the sustained positive phase for the AO circulation index since 1989 till 1995 or so (see footnote 3) and it remains to be confirmed if that the AO index might remain in that trend of high positive values or the AO variability might undergoes a shift toward the low (negative) AO-value phase as in the 1950s and 1960s. Updated results shown by Gagnon and Gough (2005a) on trends in the timing of ice break-up, although now able to claim ‘‘statistical significance’’ under rigorous statistical testing for James Bay and western half of Hudson Bay [though it should be noted that in several records, threshold p-value of less than 0.10, instead of the threshold of 0.05 adopted for example by Stirling et al. (1999), is now used to claim significance], point out that detecting surface air temperature trends is still sensitive to the time interval of data records (see e.g., Cohen and Barlow, 2005). Another real concern is the definition of spring ice break-up and autumn freeze-up where we are not sure if the criterion of 50% ice cover for the onset of melting and freezing seasons has been optimized for the understanding of polar bear population ecology (see Rigor et al., 2000 for other suggestions and threshold criteria), In general we wish to discourage the over reliance on statistical confidence that bypasses clear physical arguments or hypotheses (see e.g., Wunsch, 1999).
[5] However, it should not be too surprising to find somewhat contradictory or more restrictive statements by these same authors from what we faithfully quoted about polar bears facing extinction in the Arctic by Derocher et al. (2004). For example, Dr. Ian Stirling was quoted in WWF (2002) to have said that ‘‘For every week earlier that break-up occurs in the Hudson Bay, bears will come ashore roughly 10 kg lighter and thus in poorer condition. With reproductive success tied closely to body condition, if temperatures continue to rise in response to increases in greenhouse gas emissions and the sea ice melts for longer periods, polar bear numbers will be reduced in the southern portions of their range may even become locally [emphasis added] extinct.’’ (p. 5).
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