Literature DB >> 33640599

A food chain-based ecological risk assessment model for oil spills in the Arctic environment.

Faisal Fahd1, Ming Yang2, Faisal Khan3, Brian Veitch1.   

Abstract

This paper investigates the linkage between the acute impacts on apex marine mammals with polar cod responses to an oil spill. It proposes a Bayesian network-based model to link these direct and indirect effects on the apex marine mammals. The model predicts a recruitment collapse (for the scenarios considered), causing a higher risk of mortality of polar bears, beluga whales, and Narwhals in the Arctic region. Whales (adult and calves) were predicted to be at higher risk when the spill was under thick ice, while adult polar bears were at higher risk when the spill occurred on thin ice. A spill over the thick ice caused the least risk to whale and adult polar bears. The spill's timing and location have a significant impact on the animals in the Arctic region due to its unique sea ice dynamics, simple food web, and short periods of food abundance.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Arctic; Arctic risk; Ecological risk assessment; Environmental risk; Food web; Oil spill

Year:  2021        PMID: 33640599     DOI: 10.1016/j.marpolbul.2021.112164

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information.

Authors:  Yan Chen; Zhilong Wang
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

2.  Causal Approach to Determining the Environmental Risks of Seabed Mining.

Authors:  Laura Kaikkonen; Inari Helle; Kirsi Kostamo; Sakari Kuikka; Anna Törnroos; Henrik Nygård; Riikka Venesjärvi; Laura Uusitalo
Journal:  Environ Sci Technol       Date:  2021-06-21       Impact factor: 9.028

  2 in total

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