We investigated the effects of a warmer climate, and seasonal trends, on the fate of oil spilled in the Arctic. Three well blowout scenarios, two shipping accidents and a pipeline rupture were considered. We used ensembles of numerical simulations, using the OSCAR oil spill model, with environmental data for the periods 2009-2012 and 2050-2053 (representing a warmer future) as inputs to the model. Future atmospheric forcing was based on the IPCC's A1B scenario, with the ocean data generated by the hydrodynamic model SINMOD. We found differences in "typical" outcome of a spill in a warmer future compared to the present, mainly due to a longer season of open water. We have demonstrated that ice cover is extremely important for predicting the fate of an Arctic oil spill, and find that oil spills in a warming climate will in some cases result in greater areal coverage and shoreline exposure.
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http://dx.doi.org/10.1007/s13280-017-0961-3 | DOI Listing |
Mar Environ Res
January 2025
Key Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
This study examines the seasonal variations in carbonate system parameters in the East China Sea (ECS) off the Yangtze River estuary (YRE) and analyzes the contributions of anthropogenic CO₂ and eutrophication to acidification. Carbonate parameters data were collected during summer 2019 and combined winter 2011. During winter, acidification is primarily driven by rising atmospheric CO₂, with minimal impact from biological processes.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
School of Biological Sciences, University of Bristol, Bristol, UK.
Field studies of social behaviour are challenging due to the need to record or infer interactions between multiple individuals, often under suboptimal environmental conditions or with potential disturbance by observers. Due to the limited field techniques available, we present a novel method to quantify social behaviours in the field by comparing the counts of individuals caught in traps across multiple locations sampled simultaneously. The distribution of individuals between traps gives the extent of aggregation, and phenotypic data allow for inference of non-random assortment.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Immunobiology, Institute of Biological Sciences, Faculty of Biology and Biotechnology, Maria Curie-Skłodowska University, Lublin, Poland.
The aim of this study was to investigate the changes in the level of oxidative stress and lysozyme-like and phenoloxidase (PO) activity under the influence of nosemosis. Honeybees were kept in natural (apiary) and artificial (laboratory) conditions. In this study, it was shown for the first time that honeybees kept in apiaries have higher levels and activity of the studied parameters than honeybees kept in the laboratory.
View Article and Find Full Text PDFBiodivers Data J
December 2024
University of the Azores, Biotechnology Centre of Azores (CBA), Faculty of Sciences and Technology, PT-9500-321, Ponta Delgada, Azores, Portugal University of the Azores, Biotechnology Centre of Azores (CBA), Faculty of Sciences and Technology, PT-9500-321 Ponta Delgada, Azores Portugal.
Background: The Japanese Beetle, Newman, 1838 (Coleoptera, Rutelidae), is a univoltine agricultural pest that poses a serious threat to various agricultural crops. For more than 16 years, the Azorean official authorities have implemented a Long-Term Ecological Research (LTER) programme that is crucial for understanding the dynamics of insect pests, such as the Japanese Beetle, and their impacts on agricultural ecosystems. The significance of this long-term monitoring extends beyond understanding the pest's life cycle.
View Article and Find Full Text PDFJ R Soc Interface
January 2025
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Influenza forecasts could aid public health response as shown for temperate regions, but such efforts are more challenging in the tropics and subtropics due to more irregular influenza activities. Here, we built six forecast approaches for influenza in the (sub)tropics, with six model forms designed to model seasonal infection risk (i.e.
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