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  • 1
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    (Table 1) Polychlorinated biphenyl (PCB) and PCB metabolite concentrations in ringed seals (Phoca hispida) from Svalbard and the Baltic Sea (2008)
    PANGAEA
    In:  Supplement to: Routti, Heli; Letcher, Robert J; Arukwe, Augustine; van Bavel, Bert; Yoccoz, Nigel G; Chu, Shaogang; Gabrielsen, Geir W (2008): Biotransformation of PCBs in relation to phase I and II xenobiotic-metabolizing enzyme activities in ringed seals (Phoca hispida) from Svalbard and the Baltic Sea. Environmental Science & Technology, 42(23), 8952-8958, https://doi.org/10.1021/es801682f
    Details
    Publication Date: 2023-12-13
    Description: Polychlorinated biphenyls (PCBs) may induce activity of hepatic enzymes, mainly Phase I monooxygenases and conjugating Phase II enzymes, that catalyze the metabolism of PCBs leading to formation of metabolites and to potential adverse health effects. The present study investigates the concentration and pattern of PCBs, the induction of hepatic phase I and II enzymes, and the formation of hydroxy (OH) and methylsulfonyl (CH3SO2=MeSO2) PCB metabolites in two ringed seal (Phoca hispida) populations, which are contrasted by the degree of contamination exposure, that is, highly contaminated Baltic Sea (n = 31) and less contaminated Svalbard (n = 21). Phase I enzymes were measured as ethoxyresorufin-O-deethylation (EROD), benzyloxyresorufin-O-dealkylation (BROD), methoxyresorufin-O-demethylation (MROD), and pentoxyresorufin-O-dealkylation (PROD) activities, and phase II enzymes were measured as uridine diphosphophate glucuronosyl transferase (UDPGT) and glutathione-S-transferase (GST). Geographical comparison, multivariate, and correlation analysis indicated that sum-PCB had a positive impact on Phase I enzyme and GST activities leading to biotransformation of group III (vicinal ortho-meta-H atoms and 〈=1 ortho-chlorine (Cl)) and IV PCBs (vicinal meta-para-H atoms and 〈=2 ortho-Cl). The potential precursors for the main OH-PCBs detected in plasma in the Baltic seals were group III PCBs. MeSO2-PCBs detected in liver were mainly products of group IV PCB metabolism. Both CYP1A- and CYP2B-like enzymes are suggested to be involved in the PCB biotransformation in ringed seals.
    Keywords: Age, relative, number of years; Age, standard deviation; Area/locality; Baltic Sea; BalticSea_Bothnia; Biological sample; BIOS; Event label; Female; Hydroxy-polychlorinated biphenyl; Hydroxy-polychlorinated biphenyl, standard deviation; International Polar Year (2007-2008); IPY; Lipids; Lipids, standard deviation; Male; Methyl sulfone polychlorinated biphenyl; Methyl sulfone polychlorinated biphenyl, standard deviation; MULT; Multiple investigations; Polychlorinated biphenyl; Polychlorinated biphenyl, standard deviation; Sample amount, subset; Sample type; Sampling date; Species; Species, common name; Svalbard
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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    DATA PANGAEA
  • 2
    Electronic Resource
    Electronic Resource
    The 'common vole' in Svalbard identified as Microtus epiroticus by chromosome analysis (1990)
    Oxford, UK : Blackwell Publishing Ltd
    Polar research 8 (1990), S. 0 
    Details
    ISSN: 1751-8369
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geography , Geosciences
    Notes: The chromosomes were studied in six individuals from a population of Microtus from Grumantbyen, Svalbard, and in six Microtur arualis (Pallas 1778) from Lauwersee, Holland. It was shown that the voles from Svalbard did not belong, as earlier supposed, to the species M. arualis (2n = 46) but to M . epiroticus (Ondrias, 1966) (2n = 54). We suggest that the Svalbard voles were introduced by man between 1920 and 1960 together with hay on Russian ships from the vicinity of Leningrad, USSR.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1751-8369.1990.tb00390.x
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Nonlinear effects of large-scale climatic variability on wild and domestic herbivores (2001)
    [s.l.] : Macmillian Magazines Ltd.
    Nature 410 (2001), S. 1096-1099 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Large-scale climatic fluctuations, such as the North Atlantic Oscillation (NAO), have been shown to affect many ecological processes. Such effects have been typically assumed to be linear. Only one study has reported a nonlinear relation; however, that nonlinear relation was monotonic (that is, ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/35074099
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  • 4
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    Temporal correlations among demographic parameters are ubiquitous but highly variable across species. (2022)
    Wiley
    Details
    Publication Date: 2022-08-31
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Fay, R., Hamel, S., van de Pol, M., Gaillard, J.-M., Yoccoz, N. G., Acker, P., Authier, M., Larue, B., Le Coeur, C., Macdonald, K. R., Nicol-Harper, A., Barbraud, C., Bonenfant, C., Van Vuren, D. H., Cam, E., Delord, K., Gamelon, M., Moiron, M., Pelletier, F., Rotella, J., Teplitsky, C., Visser, M. E., Wells, C. P., Wheelwright, N. T., Jenouvrier, S., & Saether, B.-E. Temporal correlations among demographic parameters are ubiquitous but highly variable across species. Ecology Letters, 25(7), (2022): 1640-1654, https://doi.org/10.1111/ele.14026.
    Description: Temporal correlations among demographic parameters can strongly influence population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species’ life histories. Here, we use long-term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters: juvenile and adult survival, reproductive probability, reproductive success and productivity. Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow-fast continuum of life histories, suggesting that they were more strongly driven by ecological than evolutionary factors. As positive temporal demographic correlations decrease the mean of the long-run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.
    Description: This project was funded by the CNRS, including a long-term support by the OSU-OREME. Data collection for Weddell seals was supported by the National Science Foundation, Division of Polar Programs under grant number ANT-1640481 to J.J. Rotella, R.A. Garrott and D.B. Siniff and prior NSF Grants to R. A. Garrott, J. J. Rotella, D. B. Siniff and J. Ward Testa. Stéphanie Jenouvrier acknowledges the support of the NSF 1840058.
    Keywords: capture-recapture ; demographic correlation ; demography ; environmental stochasticity ; slow-fast continuum ; stochastic population dynamics ; temporal covariation
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
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    Detecting climate signals in populations across life histories (2022)
    Wiley
    Details
    Publication Date: 2022-05-27
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Jenouvrier, S., Long, M. C., Coste, C. F. D., Holland, M., Gamelon, M., Yoccoz, N., & Saether, B.-E. Detecting climate signals in populations across life histories. Global Change Biology, 28, (2022): 2236– 2258, https://doi.org/10.1111/gcb.16041.
    Description: Climate impacts are not always easily discerned in wild populations as detecting climate change signals in populations is challenged by stochastic noise associated with natural climate variability, variability in biotic and abiotic processes, and observation error in demographic rates. Detection of the impact of climate change on populations requires making a formal distinction between signals in the population associated with long-term climate trends from those generated by stochastic noise. The time of emergence (ToE) identifies when the signal of anthropogenic climate change can be quantitatively distinguished from natural climate variability. This concept has been applied extensively in the climate sciences, but has not been explored in the context of population dynamics. Here, we outline an approach to detecting climate-driven signals in populations based on an assessment of when climate change drives population dynamics beyond the envelope characteristic of stochastic variations in an unperturbed state. Specifically, we present a theoretical assessment of the time of emergence of climate-driven signals in population dynamics (ToEpop). We identify the dependence of (ToEpop)on the magnitude of both trends and variability in climate and also explore the effect of intrinsic demographic controls on (ToEpop). We demonstrate that different life histories (fast species vs. slow species), demographic processes (survival, reproduction), and the relationships between climate and demographic rates yield population dynamics that filter climate trends and variability differently. We illustrate empirically how to detect the point in time when anthropogenic signals in populations emerge from stochastic noise for a species threatened by climate change: the emperor penguin. Finally, we propose six testable hypotheses and a road map for future research.
    Description: We acknowledge the support of NASA 80NSSC20K1289 to SJ, ML, and MH; NSF OPP 1744794 to SJ and NSF OPP 2037561 to SJ and MH.
    Keywords: climate change ; emperor penguin ; life histories ; population trend ; population variability ; signal to noise ; time of emergence
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
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    Quantifying fixed individual heterogeneity in demographic parameters: performance of correlated random effects for Bernoulli variables (2022)
    British Ecological Society
    Details
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Fay, R., Authier, M., Hamel, S., Jenouvrier, S., van de Pol, M., Cam, E., Gaillard, J.-M., Yoccoz, N. G., Acker, P., Allen, A., Aubry, L. M., Bonenfant, C., Caswell, H., Coste, C. F. D., Larue, B., Le Coeur, C., Gamelon, M., Macdonald, K. R., Moiron, M., Nicol-Harper, A., Pelletier, F., Rotella J. J., Teplitsky, C., Touzot, L., Wells, C. P., Saether, B.-E. Quantifying fixed individual heterogeneity in demographic parameters: performance of correlated random effects for Bernoulli variables. Methods in Ecology and Evolution, 00, (2021): 1–14, https://doi.org/10.1111/2041-210X.13728.
    Description: 1. An increasing number of empirical studies aim to quantify individual variation in demographic parameters because these patterns are key for evolutionary and ecological processes. Advanced approaches to estimate individual heterogeneity are now using a multivariate normal distribution with correlated individual random effects to account for the latent correlations among different demographic parameters occurring within individuals. Despite the frequent use of multivariate mixed models, we lack an assessment of their reliability when applied to Bernoulli variables. 2. Using simulations, we estimated the reliability of multivariate mixed effect models for estimating correlated fixed individual heterogeneity in demographic parameters modelled with a Bernoulli distribution. We evaluated both bias and precision of the estimates across a range of scenarios that investigate the effects of life-history strategy, levels of individual heterogeneity and presence of temporal variation and state dependence. We also compared estimates across different sampling designs to assess the importance of study duration, number of individuals monitored and detection probability. 3. In many simulated scenarios, the estimates for the correlated random effects were biased and imprecise, which highlight the challenge in estimating correlated random effects for Bernoulli variables. The amount of fixed among-individual heterogeneity was frequently overestimated, and the absolute value of the correlation between random effects was almost always underestimated. Simulations also showed contrasting performances of mixed models depending on the scenario considered. Generally, estimation bias decreases and precision increases with slower pace of life, large fixed individual heterogeneity and large sample size. 4. We provide guidelines for the empirical investigation of individual heterogeneity using correlated random effects according to the life-history strategy of the species, as well as, the volume and structure of the data available to the researcher. Caution is warranted when interpreting results regarding correlated individual random effects in demographic parameters modelled with a Bernoulli distribution. Because bias varies with sampling design and life history, comparisons of individual heterogeneity among species is challenging. The issue addressed here is not specific to demography, making this warning relevant for all research areas, including behavioural and evolutionary studies.
    Description: They acknowledge the support of NSF OPP 1640481 and 1840058 to J.R. and S.J. respectively.
    Keywords: accuracy ; among-individual variation ; capture–recapture ; GLMMs ; individual quality ; joint mixed models ; multivariate normal distribution ; precision
    Repository Name: Woods Hole Open Access Server
    Type: Article
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