Long-term Trends in the Population Ecology of Polar Bears in Western Hudson Bay in Relation to Climatic Change

From 1981 through 1998, the condition of adult male and female polar bears has declined significantly in western Hudson Bay, as have natality and the proportion of yearling cubs caught during the open water period that were independent at the time of capture. Over this same period, the breakup of the sea ice on western Hudson Bay has been occurring earlier. There was a significant positive relationship between the time of breakup and the condition of adult females (i.e., the earlier the breakup, the poorer the condition of the bears). The trend toward earlier breakup was also correlated with rising spring air temperatures over the study area from 1950 to 1990. We suggest that the proximate cause of the decline in physical and reproductive parameters of polar bears in western Hudson Bay over the last 19 years has been a trend toward earlier breakup, which has caused the bears to come ashore in progressively poorer condition. The ultimate factor responsible for the earlier breakup in western Hudson Bay appears to be a long-term warming trend in April-June atmospheric temperatures.De 1981 à la fin de 1998, la condition physique de l'ours polaire adulte, mâle et femelle, s'est détériorée de façon importante dans l'ouest de la baie d'Hudson, tout comme le nombre de naissances et la proportion d'oursons de l'année pris durant la période d'eau libre, et qui étaient indépendants au moment de leur capture. Au cours de la même période, la débâcle de la banquise sur l'ouest de la baie d'Hudson s'est produite plus tôt. Il existait un lien très marqué entre le moment de la débâcle et la condition physique des femelles adultes (c.-à-d. que plus la débâcle se produisait tôt, plus les ourses étaient en mauvaise condition physique). La tendance à une débâcle précoce était également corrélée à l'augmentation de la température ambiante printanière dans la zone d'étude de 1950 à 1990. On suggère que la cause immédiate du déclin des paramètres physiques et reproducteurs de l'ours polaire dans l'ouest de la baie d'Hudson au cours des derniers 19 ans a été une tendance à une débâcle précoce, ce qui amené les ours à venir sur la terre ferme dans un état de plus en plus mauvais. Le facteur responsable de la débâcle précoce dans la baie d'Hudson semble être en fin de compte la tendance au réchauffement à long terme de l'atmosphère en avril et en juin

Self-bias and the emotionality of foreign languages

Article first published online: June 13, 2018Foreign language contexts impose a relative psychological and emotional distance in bilinguals. In our previous studies, we demonstrated that the use of a foreign language changes the strength of the seemingly automatic emotional responses in the self-paradigm, showing a robust asymmetry in the self-bias effect in a native and a foreign language context. Namely, larger effects were found in the native language, suggesting an emotional blunting in the foreign language context. In the present study, we investigated the source of these effects by directly comparing whether they stem from a language’s foreignness versus its non-nativeness. We employed the same self-paradigm (a simple perceptual matching task of associating simple geometric shapes with the labels “you,” “friend,” and “other”), testing unbalanced Spanish–Basque–English trilinguals. We applied the paradigm to three language contexts: native, non-native but contextually present (i.e., non-native local), and non-native foreign. Results showed a smaller self-bias only in the foreign language pointing to the foreign-language-induced psychological/emotional distance as the necessary prerequisite for foreign language effects. Furthermore, we explored whether perceived emotional distance towards foreign languages in Spanish–English bilinguals modulates foreign language effects. Results suggest that none of the different indices of emotional distance towards the foreign language obtained via questionnaires modulated the self-biases in the foreign language contexts. Our results further elucidate the deeply rooted and automatic nature of foreign-language-driven differential emotional processing.This research has been partially funded by grants PSI2015-65689-P and SEV-2015-0490 from the Spanish Government, AThEME-613465 from the European Union, and a 2016 BBVA Foundation Grant for Researchers and Cultural Creators awarded to the last author (J.A.D.)

Representing spatial variability of snow water equivalent in hydrologic and land-surface models: a review

This paper evaluates the use of field data on the spatial variability of snow water equivalent (SWE) to guide the design of distributed snow models. An extensive reanalysis of results from previous field studies in different snow environments around the world is presented, followed by an analysis of field data on spatial variability of snow collected in the headwaters of the Jollie River basin, a rugged mountain catchment in the Southern Alps of New Zealand. In addition, area-averaged simulations of SWE based on different types of spatial discretization are evaluated. Spatial variability of SWE is shaped by a range of different processes that occur across a hierarchy of spatial scales. Spatial variability at the watershed-scale is shaped by variability in near-surface meteorological fields (e.g., elevation gradients in temperature) and, provided suitable meteorological data is available, can be explicitly resolved by spatial interpolation/extrapolation. On the other hand, spatial variability of SWE at the hillslope-scale is governed by processes such as drifting, sloughing of snow off steep slopes, trapping of snow by shrubs, and the nonuniform unloading of snow by the forest canopy, which are more difficult to resolve explicitly. Subgrid probability distributions are often capable of representing the aggregate-impact of unresolved processes at the hillslope-scale, though they may not adequately capture the effects of elevation gradients. While the best modeling strategy is case-specific, the analysis in this paper provides guidance on both the suitability of several common snow modeling approaches and on the choice of parameter values in subgrid probability distributions.Martyn P. Clark, Jordy Hendrikx, Andrew G. Slater, Dmitri Kavetski, Brian Anderson, Nicolas J. Cullen, Tim Kerr, Einar Örn Hreinsson and Ross A. Wood

Emotional resonance in native and foreign language processing.

The processing of foreign languages is suggested to be governed by certain levels of emotional distance. In this study we investigated whether reading emotionally charged sentences in a foreign language resulted in a reduction of the level of two indices of autonomic reactivity of the sympathetic nervous system: the pupil size and the electrodermal activity. We conducted two experiments with native Spanish speakers with high English proficiency. In Experiment 1, one group of participants completed an overt reading task, and in Experiment 2 a different group completed a covert reading task. In the two experiments materials included sentences presented either in participants? native or foreign language. The results showed an asymmetry in the emotional resonance elicited by the sentences in native and foreign-language contexts which was mainly evident in the overt reading task. This suggests a different pattern of emotional reactivity in bilinguals, depending on whether the task involves active language production or silent reading, suggesting that producing emotionally charged content involves deeper emotional processing than simply comprehending. This study shows that the foreign language effects are pervasive enough to affect automatic responses associated with emotional processing, but they may be reduced when emotional resonance is not enhanced by production

Snow in the changing sea-ice systems

Snow is the most reflective, and also the most insulative, natural material on Earth. Consequently, it is an integral part of the sea-ice and climate systems. However, the spatial and temporal heterogeneities of snow pose challenges for observing, understanding and modelling those systems under anthropogenic warming. Here, we survey the snow–ice system, then provide recommendations for overcoming present challenges. These include: collecting process-oriented observations for model diagnostics and understanding snow–ice feedbacks, and improving our remote sensing capabilities of snow for monitoring large-scale changes in snow on sea ice. These efforts could be achieved through stronger coordination between the observational, remote sensing and modelling communities, and would pay dividends through distinct improvements in predictions of polar environments