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Found 9983 publications. Showing page 120 of 400:

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Pelagic vs coastal - Key drivers of pollutant levels in Barents Sea polar bears with contrasted space-use strategies

Blévin, Pierre; Aars, Jon; Andersen, Magnus; Blanchet, Marie-Anne; Hanssen, Linda; Herzke, Dorte; Jeffreys, Rachel M.; Nordøy, Erling Sverre; Pinzone, Marianna; Vega, Camille de la; Routti, Heli Anna Irmeli

In the Barents Sea, pelagic and coastal polar bears are facing various ecological challenges that may explain the difference in their pollutant levels. We measured polychlorinated biphenyls, organochlorine pesticides, polybrominated diphenyl ethers in fat, and perfluoroalkyl substances in plasma in pelagic and coastal adult female polar bears with similar body condition. We studied polar bear feeding habits with bulk stable isotope ratios of carbon and nitrogen. Nitrogen isotopes of amino acids were used to investigate their trophic position. We studied energy expenditure by estimating field metabolic rate using telemetry data. Annual home range size was determined, and spatial gradients in pollutants were explored using latitude and longitude centroid positions of polar bears. Pollutant levels were measured in harp seals from the Greenland Sea and White Sea–Barents Sea as a proxy for a West–East gradient of pollutants in polar bear prey. We showed that pelagic bears had higher pollutant loads than coastal bears because (1) they feed on a higher proportion of marine and higher trophic level prey, (2) they have higher energy requirements and higher prey consumption, (3) they forage in the marginal ice zones, and (4) they feed on prey located closer to pollutant emission sources/transport pathways.

2019

Peat fire emissions

Kaiser, Johannes

2024

PCBs on Svalbard. Status of knowledge and management, April 2008. Rapport, 1/2008

Lundkvist, Q.; Pedersen, H.R.; Ottesen, R.T.; Volden, T.; Jartun, M.; Gabrielsen, G.W.; Skåre, J.U.; Kallenborn, R.; Ruus, A.; Dahle, S.; Evenset, A.; Vongraven, D.; Jenssen, B.M.; Ekker, M.; Hindrum, R.

2008

PCBs in Svalbard. Status of knowledge and management, April 2008. Report, 1/2008

Lundkvist, Q.; Pedersen, H.R.; Ottesen, R.T.; Volden, T.; Jartun, M.; Gabrielsen, G.W.; Skåre, J.U.; Kallenborn, R.; Ruus, A.; Dahle, S.; Evenset, A.; Vongraven, D.; Jenssen, B.M.; Ekker, M.; Hindrum, R.

2008

PCB and PCDD/F source allocation around Taranto, Italy

Mudge, Stephen Michael; Monti, C.

2018

PBDEs in European background soils: levels and factors controlling their distribution.

Hassanin, A.; Breivik, K.; Meijer, S.N.; Steinnes, E.; Thomas, G.O.; Jones, K.C.

2004

PBDEs and new brominated flame retardants in Arctic biota. NILU F

Herzke, D.; Sagerup, K.; Harju, M.; Routti, H.; Evenset, A.; Fuglei, E.; Gabrielsen, G.W.

2013

Patterns of CO2 and radiocarbon across high northern latitudes during International Polar Year 2008.

Vay, S.A.; Choi, Y.; Vadrevu, K.P.; Blake, D.R.; Tyler, S.C.; Wisthaler, A.; Hecobian, A.; Kondo, Y.; Diskin, G.S.; Sachse, G.W.; Woo, H.; Weinheimer, A.J.; Burkhart, J.F.; Stohl, A.; Wennberg, P.O.

2011

Patterns in the spectral composition of sunlight and biologically meaningful spectral photon ratios as affected by atmospheric factors

Kotilainen, Titta; Aphalo, Pedro J.; Brelsford, Craig C.; Böok, H.; Devraj, S.; Heikkilä, A.; Hernández, R.; Kylling, Arve; Lindfors, AV; Robson, T. Matthew

Plants rely on spectral cues present in their surroundings, generated by the constantly changing light environment, to guide their growth and reproduction. Photoreceptors mediate the capture of information by plants from the light environment over a wide range of wavelengths, but despite extensive evidence that plants respond to various light cues, only fragmentary data have been published showing patterns of diurnal, seasonal and geographical variation in the spectral composition of daylight. To illustrate patterns in spectral photon ratios, we measured time series of irradiance spectra at two distinct geographical and climatological locations, Helsinki, Finland and Gual Pahari, India. We investigated the drivers behind variation of the spectral photon ratios measured at these two locations, based on the analysis of over 400 000 recorded spectra. Differences in spectral irradiance were explained by different atmospheric factors identified through multiple regression model analysis and comparison to spectral irradiance at ground level simulated with a radiative transfer model. Local seasonal and diurnal changes in spectral photon ratios were related to solar elevation angle, atmospheric water-vapour content and total ozone column thickness and deviated from their long-term averages to an extent likely to affect plant photobiology. We suggest that future studies should investigate possible effects of varying photon ratios on terrestrial plants. Solar elevation angle especially affects the patterns of B:G and B:R ratios. Water vapour has a large effect on the R:FR photon ratio and modelled climate scenarios predict that increasing global temperatures will result in increased atmospheric water vapour. The development of proxy models, utilising available data from weather and climate models, for relevant photon ratios as a function of solar elevation angle and atmospheric factors would facilitate the interpretation of results from past, present and future field studies of plants and vegetation.

2020

Past and future trends in concentrations of sulphur and nitrogen compounds in the Arctic.

Hole, L.R.; Christensen, J.H.; Ruoho-Airola, T.; Tørseth, K.; Ginzburg, V.; Glowacki, P.

2009

Past and Future Grand Challenges in Marine Ecosystem Ecology

Borja, Angel; Andersen, Jesper H; Arvanitidis, Christos D.; Basset, Alberto; Buhl-Mortensen, Lene; Carvalho, Susana; Dafforn, Katherine A.; Devlin, Michelle J.; Escobar-Briones, Elva G.; Grenz, Christian; Harder, Tilmann; Katsanevakis, Stelios; Liu, Dongyan; Metaxas, Anna; Moran, Xose Anxelu G; Newton, Alice; Piroddi, Chiara; Pochon, Xavier; Queiros, Ana M.; Snelgrove, Paul V. R.; Solidoro, Cosimo; John, Michael A. St.; Teixeira, Heliana

2020

Passive UV remote sensing of volcanic sulphur and halogen emissions.

Gliss, J.; Sudbø, A.; Stebel, K.; Kylling, A.; Skauli, T.

2017

Passive sampling of SO2 and NO2 ambient air concentrations in Cairo. NILU OR

Sivertsen, B.

A screening study was undertaken in greater Cairo to check and verify the ambient air pollution monitoring network operated by EIMP/EEAA. The passive samplers were installed in field to measure ground level concentrations in different microenvironments as a result of emissions from traffic and industry. The possibilities for exceeding the EEAA Law no. 4 and the World Health Organisation¿s (WHO) air quality guidelines for SO2 were identified in two areas of Cairo. NO2 concentration limits were high in some selected streets. The passive sampling results compared reasonably well with the permanent network operated by EIMP/EEAA.

2001

Passive sampling of POPs in European background air. NILU F

Halse, A.K.; Breivik, K.; Schlabach, M.; Jones, K.C.; Sweetman, A.

2008

Passive air sampling of POPs in background air along a European-Arctic transect

Halvorsen, Helene Lunder; Möckel, Claudia; Pedersen, Lovise Skogeng; Krogseth, Ingjerd Sunde; Bohlin-Nizzetto, Pernilla; Schlabach, Martin; Breivik, Knut

2018

Passive air samplers as a tool for assessing long-term trends in atmospheric concentrations of semivolatile organic compounds.

Kalina, J.; Scheringer, M.; Boruvková, J.; Kukucka, P.; Pribylová, P.; Bohlin-Nizzetto, P.; Klánová, J.

2017

Passive air monitoring of perfluorinated compounds in the UK and Norway. NILU F

Schuster, J.K.; Gioia, R.; Del Vento, S.; Harner, T.; Breivik, K.; Jones, K.C.

2011

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