- 0.0 EXECUTIVE SUMMARY
- 0.1 Program Objectives and Participants
- 0.1.1 The Pan-Arctic Region: Highlights of the Literature Review
- 0.1.1.1 Behavior and Fate of Oil in the Arctic
- 0.1.1.2 VECs and Ecotoxicity
- 0.1.2 Role of Ecosystem Consequence Analyses in NEBA Applications for the Arctic
- 0.1.2.1 Arctic Population Resiliency and Potential for Recovery
- 0.2 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 0.2.1 Development of ARCAT Matrices
- 0.2.2 Influence of Oil on Unique Arctic Communities
- 0.2.3 Biodegradation in Unique Communities
- 0.2.4 Modeling of Acute and Chronic Population Effects of Exposure to OSRs
- 0.3 Further Information
- 1.0 THE PHYSICAL ENVIRONMENT
- 1.1 Introduction
- 1.1.1 The Arctic Ocean, Marginal Seas, and Basins
- 1.2 Knowledge Status
- 1.2.1 The Circumpolar Margins
- 1.2.2 Arctic Hydrography
- 1.2.3 Ice And Ice-Edges
- 1.2.4 Seasonality: Productivity and the Carbon Cycle in the Arctic
- 1.3 Future Research Considerations
- 1.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 1.4 Further Information
- 2.0 ARCTIC ECOSYSTEMS AND VALUABLE RESOURCES
- 2.1 Introduction
- 2.2 Knowledge Status
- 2.2.1 Habitats of the Arctic
- 2.2.2 Arctic Food Webs
- 2.2.2.1 Pelagic Communities
- 2.2.2.2 Benthic and Demersal Communities
- 2.2.2.2 Sea-ice Communities
- 2.2.2.4 Mammals and Birds
- 2.2.2.5 Communities of Special Significance
- 2.2.3 Pelagic Realm
- 2.2.3.1 Phytoplankton
- 2.2.3.2 Zooplankton
- 2.2.3.3 Neuston
- 2.2.3.4 Other Pelagic Invertebrates
- 2.2.3.4.1 Krill
- 2.2.3.4.2 Amphipods
- 2.2.3.4.3 Cephalopods
- 2.2.3.4.4 Jellyfish
- 2.2.3.5 Fish
- 2.2.3.5.1 Pelagic Fish
- 2.2.3.5.2 Anadromous Fish
- 2.2.3.5.3 Demersal Fish
- 2.2.3.5.4 Deep-Sea Fish
- 2.2.3.6 Marine Mammals
- 2.2.3.6.1 Bowhead Whale (Balaena mysticetus)
- 2.2.3.6.2 White Whale (Delphinapterus Leucas)
- 2.2.3.6.3 Narwhal (Monodon monoceros)
- 2.2.3.6.4 Ice Seals
- 2.2.3.6.5 Walrus (Odobenus rosmarus)
- 2.2.3.6.6 Orca Whales (Orcinus orca)
- 2.2.3.6.7 Polar Bear (Ursus maritimus)
- 2.2.3.7 Birds
- 2.2.3.7.1 Black-legged kittiwakes (Rissa tridactyla)
- 2.2.3.7.2 Black Guillemots (Cepphus grille)
- 2.2.3.7.3 Thick billed Murres (Uria lomvia)
- 2.2.3.7.4 Northern Fulmar (Fulmarus glacialis)
- 2.2.3.7.5 Common Eider (Somateria mollissima)
- 2.2.3.7.6 Little Auk/Dovekie (Alle alle)
- 2.2.3.7.7 Glaucous gull (Larus glaucescens)
- 2.2.3.7.8 Arctic jaeger (Stercorarius parasiticus)
- 2.2.4 Benthic Realm
- 2.2.4.1 Intertidal Communities
- 2.2.4.2 Shelf and Deepwater Communities
- 2.2.4.3 Mollusca
- 2.2.4.4 Polychaetes
- 2.2.4.5 Amphipods
- 2.2.4.6 Decapod Crustaceans
- 2.2.4.7 Echinoderms
- 2.2.5 Sea-Ice Realm
- 2.2.5.1 Ice Algae
- 2.2.5.2 Sympagic Copepods
- 2.2.5.3 Ice Amphipods
- 2.2.5.4 Pelagic Copepods
- 2.2.5.5 Sympagic Fish
- 2.2.5.6 Mammals
- 2.2.5.7 Birds
- 2.2.6 VECs of Arctic Marine Environments
- 2.2.6.1 Seasonal Distribution Patterns of Arctic Marine Populations
- 2.3 Future Research Considerations
- 2.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 2.4 Further Information
- 3.0 THE TRANSPORT AND FATE OF OIL IN THE ARCTIC
- 3.1 Introduction
- 3.2 Knowledge Status
- 3.2.1 Weathering of Oil Spilled in Ice
- 3.2.2 Oil in Ice Interactions
- 3.2.3 Oil on Arctic Shorelines
- 3.2.4 Oil-Sediment Interactions
- 3.3 Future Research Considerations
- 3.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 3.4 Further Information
- 4.0 OIL SPILL RESPONSE STRATEGIES
- 4.1 Introduction
- 4.1.1 Environmental Uniqueness of the Arctic Region in Relation to OSR
- 4.2 Knowledge Status - Impact of OSRs
- 4.2.1 Natural Attentuation
- 4.2.1.1 Potential Environmental Impact of Untreated Oil
- 4.2.1.2 Conclusions on Natural Attenuation
- 4.2.2 Mechanical Recovery and Containment
- 4.2.2.1 Environmental impacts from Mechanical Recovery and Containment
- 4.2.2.2 Conclusions
- 4.2.3 In-Situ Burning and Chemical Herders
- 4.2.3.1 Potential environmental and human health effects of ISB residues and unburnt oil
- 4.2.3.2 Environmental Impact of Herders
- 4.2.3.3 Conclusions on ISB and Herders
- 4.2.4 Improving Dispersion of Oil
- 4.2.4.1 Impact of Chemically Dispersed Oil
- 4.2.4.2 Conclusions on Chemical Dispersion
- 4.2.4.3 Dispersing Oil using Oil Mineral Aggregates (OMA)
- 4.2.4.4 Environmental Impact of OMA formation
- 4.2.4.5 Conclusions on OMA
- 4.3 Future Research Considerations
- 4.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 4.4 Further Information
- 5.0 BIODEGRADATION
- 5.1 Introduction
- 5.1.1 The Microbiology of the Arctic Oceans
- 5.1.1.1 Transport routes
- 5.1.1.2 Microbial populations in the Arctic Ocean
- 5.1.2 Microbial Adaptation to Arctic Conditions
- 5.1.2.1 Low temperature and microbial adaptions
- 5.1.2.2 Light and microbial phototrophs
- 5.1.2.3 Marine ice and microbial survival and metabolism
- 5.2 Knowledge Status
- 5.2.1 Biodegradation of Oil in Cold Marine Environments
- 5.2.1.1 Types of Crude Oils
- 5.2.1.2 Surface oil spills
- 5.2.1.2.1 Evaporation
- 5.2.1.2.2 Water solubility
- 5.2.1.2.3 Photooxidation
- 5.2.1.2.4 Sedimentation
- 5.2.1.2.5 Water-in-oil emulsification
- 5.2.1.2.6 Natural dispersion
- 5.2.1.2.7 Oil films
- 5.2.1.3 Microbial Oil-Degrading Populations in Cold Water Environments
- 5.2.1.3.1 Indigenous Microorganism Populations
- 5.2.1.3.2 Population Effects on Oil Degradation
- 5.2.1.4 Hydrocarbon biodegradation in cold marine environments
- 5.2.1.4.1 Seawater
- 5.2.1.4.2 Sediments and soils
- 5.2.1.4.3 Sea ice
- 5.2.1.5 Modeling of biodegradation
- 5.2.1.5.1 Biodegradation in oil spill models
- 5.2.1.5.2 Biodegradation modeling and temperature
- 5.2.1.6 Determination of Biodegradation
- 5.2.1.6.1 Analytical methods for oil compound analyses
- 5.2.1.6.2 Experimental apparatus
- 5.2.1.6.3 Biodegradation data processing
- 5.2.1.7 Persistent Oil Compounds
- 5.2.2 Accelerated Biodegradation
- 5.2.2.1 Biostimulation
- 5.2.2.1.1 Shoreline sediments
- 5.2.2.1.2 Seawater
- 5.2.2.1.3 Marine ice
- 5.2.2.2 Bioaugmentation
- 5.2.2.3 Understanding Processes in Accelerated Biodegradation
- 5.3 Future Research Considerations
- 5.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 5.4 Further Information
- 6.0 ECOTOXICOLOGY OF OIL AND TREATED OIL IN THE ARCTIC
- 6.1 Introduction
- 6.1.1 General Methods and Relevant Endpoints in Laboratory Testing
- 6.1.1.1 Test Exposure
- 6.1.1.2 Test Media Preparation
- 6.1.1.2.1 Water Soluble Fractions (WSF)
- 6.1.1.2.2 Water Accommodated Fractions (WAF, CEWAF)
- 6.1.1.2.3 Oil-in-Water Dispersions (Oil Droplets)
- 6.1.1.2.4 Oil Type/Weathering
- 6.1.1.2.5 Exposure Concentrations
- 6.1.1.2.6 Test Organisms
- 6.1.1.2.7 Test Endpoints and Exposures
- 6.1.1.2.8 Data Extrapolation and Population Models
- 6.2 Knowledge Status
- 6.2.1 Species represented in the data set
- 6.2.2 Arctic ecosystem compartments in the dataset
- 6.2.2.1 Pack ice
- 6.2.2.2 Pelagic
- 6.2.2.3 Benthic
- 6.2.3 Review by Taxa
- 6.2.3.1 Phytoplankton and seaweed
- 6.2.3.2 Mysids
- 6.2.3.3 Copepods
- 6.2.3.4 Amphipods
- 6.2.3.5 Benthic organisms
- 6.2.3.6 Fish
- 6.3 Discussion
- 6.3.1 Petroleum related components
- 6.3.1.1 Crude oil
- 6.3.1.2 Single PAH
- 6.3.2 Chemically dispersed oil versus physically dispersed oil
- 6.3.3 Are Arctic species more sensitive than temperate species?
- 6.4 Future Research Considerations
- 6.4.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 6.5 Further Information
- 7.0 POPULATION EFFECTS MODELING
- 7.1 Introduction
- 7.2 Knowledge Status
- 7.2.1 Parameters Needed to Assess Potential Responses of VECs to Environmental Stressors
- 7.2.1.1 Transport and fate / exposure potential
- 7.2.1.2 Oil toxicity evaluations / sensitivity
- 7.2.1.3 Population distributions, stressors, and mortality rates
- 7.2.2 Copepod Population Ecology
- 7.2.2.1 Copepod Growth and Development
- 7.2.2.2 Summary of Arctic and Sub-Arctic Copepod Species
- 7.2.3 Copepod Populations
- 7.2.4 Arctic Fish Population Ecology
- 7.2.4.1 Arctic Fish Species Diversity
- 7.2.4.2 Representative Fish Species
- 7.2.5 Application of Population Models
- 7.3 Future Research Considerations
- 7.3.1 Priority Recommendations to Enhance NEBA Applications in the Arctic
- 7.4 Further Information
- 8.0 ECOSYSTEM RECOVERY
- 8.1 Introduction
- 8.2 Knowledge Status
- 8.2.1 Resilience and Potential for Recovery
- 8.3 Future Research Considerations
- 8.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 8.4 Further Information
- 9.0 NET ENVIRONMENTAL BENEFIT ANALYSES FOR OIL SPILL
- 9.1 Introduction
- 9.2 Knowledge Status
- 9.2.1 Importance of NEBA Development for Arctic Regions
- 9.2.2 Scope and Applicability
- 9.2.3 Information Required to Utilize the NEBA Process
- 9.2.3.1 Potential oil spill scenarios
- 9.2.3.2 Response resources available
- 9.2.4 Ecological Resources at Risk
- 9.2.5 Social and Economic Relevance
- 9.2.6 Historical uses of NEBA and Case Studies
- 9.2.6.1 Assessing response strategy effectiveness and estimating oil fate and transport
- 9.2.6.2 Assessing the potential impacts and resource recovery rates
- 9.2.7 Historical Spills that Used or Informed NEBA Processes
- 9.2.7.1 A. Experimental: Baffin Island tests in northern Canada
- 9.2.7.2 B. Experimental: TROPICS study
- 9.2.7.3 C. Tanker: Braer Spill
- 9.2.7.4 D. Tanker: Sea Empress spill
- 9.2.7.5 E. Well Blowout: Montara spill (also known as the West Atlas Spill)
- 9.2.8 Potential Challenges to Applying NEBA Processes in the Arctic Environment
- 9.3 Future Research Considerations
- 9.3.1 Priority Recommendations for Enhanced NEBA Applications in the Arctic
- 9.4 Further Information
- APPENDIX: USE OF NEDRA IN CONNECTION TO OIL SPILL CONTINGENCY PLANNING IN NORWAY
- 10.0 SUPPORTING REPORTS
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5.2.1.3 Microbial Oil-Degrading Populations in Cold Water Environments
In the aftermath of the Deepwater Horizon incident, a large body of new information has been collected and integrated with our already existing understanding of the microbial response to oil spilled in the marine environment (Hazen et al. 2010; Mason et al. 2012; Valentine et al. 2012). In general, in situ sampling and analysis revealed unexpectedly rapid disappearance of released oil in the Gulf of Mexico environment, which is characterized by a temperate climate (Hazen et al. 2010). This rapid disappearance was affected by the prevalence of water-soluble constituents in the crude oil (Reddy et al. 2012), injection of subsea dispersant into the erupting oil flow (Kujawinski et al. 2011), and presence of indigenous oil-degrading microorganisms in this area that is well known for natural seeps of crude oil from reservoirs (Lu et al. 2012). Such indigenous oil-degrading microorganisms are the topic of this section.
Following the Deepwater Horizon incident, extensive analysis of microbial responses was done both in situ and in laboratory microcosms. These analyses support, in general, a paradigm of successive blooms of taxonomically distinct indigenous microbial populations as the oil weathers and labile components are sequentially degraded leaving less-readily degraded components to feed subsequent blooms (Hazen et al. 2010; Valentine et al. 2010; Kostka et al. 2011; Baelum et al. 2012; Beazley et al. 2012; Lu et al. 2012; Mason et al. 2012; Valentine et al. 2012).
Conditions are very different in high latitude marine environments. As described in previous sections, the Arctic and Antarctic marine environments are characterized by seasonal extremes of photoperiod, spatial variability in salinity and temperature, as well as generally colder surface temperatures compared to the temperate latitudes. These differences may result in different expectations about the rate of oil degradation, as described in previous sections. They also result in different expectations about the indigenous populations of oil degrading microorganisms.
As mentioned in previous sections, microbial responses to oil in marine environments generally are dominated by bacteria rather than archaea (Roling et al. 2004). Although fungi are known to degrade petroleum compounds in some marine settings (Zinjarde and Pant 2002), few surveys of fungal abundance in high latitude marine environments have been done (Butinar et al. 2011) and thus far none have addressed oil degradation by fungi in high latitude environments. For these reasons, this section focuses on the bacterial component of the marine microbiological community.
5.2.1.3.1 Indigenous Microorganism Populations
Among the bacterial taxa catalogued in high latitude marine environments, many appear to be specific to that environment (Ghiglione et al. 2012; Sul et al. 2013). This apparent specificity may be due to truly unique populations, or it may be a function of the limit of detection. Community members that thrive in the high latitude marine environment grow to relatively high cell densities and are therefore more easily detected. Various investigations have found that microbial species richness curves are not saturated with typical levels of effort. This finding has led to the hypothesis that there is an under sampled “rare biosphere” of organisms with low population density (Sogin et al. 2006) that, despite low population levels, can respond to changes in environment and energy source. This phenomenon may be typified by the explosion of Oceanospiralles and Colwellia populations in the presence of different partitions of spilled oil during the Deepwater Horizon incident (Hazen et al. 2010; Bælum et al. 2012).
Marine ice represents an extreme biosphere with below-zero-centigrade temperatures and high salt concentrations. It has been demonstrated by field studies that bacterial populations in Arctic marine ice are affected by oil pollution, stimulating species of a few genera like Colwellia, Marinomonas and Glaciecola (Brakstad et al. 2008).
Not all of the microorganisms found in the Arctic oceans are adapted to that environment. The various currents carry viable microorganisms from diverse locations to the Arctic (Rosnes et al. 1991; Hubert et al. 2009; Hubert et al. 2010); thus, there is an expectation of cosmopolitanism among the free-living microorganisms. This is not to say that the population structure is homogenous as if the Arctic were a giant mixing bowl. In fact, there is documented variability in population structures, with different communities associated with water masses of different origins (Galand et al. 2010; Sul et al. 2013). The presence of non-adapted microorganisms such as thermophiles does, however, indicate that microbial populations adapted to the consumption of natural or human-induced oil releases might be transported to and be present in areas that are not commonly exposed to oil.
5.2.1.3.2 Population Effects on Oil Degradation
Crude mineral oil is degradable by indigenous microorganism populations in the Arctic marine environment, even at near-freezing temperatures (Brakstad and Bonaunet 2006), although at slower rates compared to higher temperatures (Margesin et al. 2003; Michaud et al. 2004). Nevertheless, over a time course on the order of weeks substantial biodegradation can be observed in nutrient-enriched cold Arctic seawater (Brakstad and Bonaunet 2006). Community analysis of oil-degrading Arctic microbial consortia indicated that several taxa of bacteria are involved in biodegradation in this environment, including genera related to Pseudoalteromonas, Pseudomonas, Shewanella, Marinobacter, Psychrobacter, and Agreia (Deppe et al. 2005). Of interest, these are different organisms from those directly associated with degradation in the Deepwater Horizon spill in the Gulf of Mexico, specifically bacteria of the orders Oceanospiralles (Hazen et al. 2010; Kostka et al. 2011) and Alteromonadales (Bælum et al. 2012), among others.
Linear alkanes often are characterized as an easily accessible carbon source, either through degradation or direct incorporation into microbial biomass, in the marine environment (Harayama et al. 1999). The metabolic pathways for linear, branched, and cyclic alkanes have been studied and described since the 1960s (Jobson et al. 1972, Coates et al. 1997, Feng et al. 2007, Rojo 2009, Gray et al. 2011). Preferential degradation of short-chain alkanes (represented by C15) over long-chain alkanes (represented by C26) was observed in situ in a deep plume (circa 1,400 m) in the Gulf of Mexico under aerobic conditions (Hazen et al. 2010). Furthermore, during weathering in subsurface petroleum reservoirs, alkyl chains on substituted soluble PAHs such as alkane-substituted naphthalenes may be transformed even more rapidly than linear alkanes (Jones et al. 2008). Whether this phenomenon, observed in anaerobic subsurface reservoirs, would occur in the presence of petroleum hydrocarbons released into the deep sea, remains unknown.
The specific bacteria known to accomplish alkane degradation are numerous (Whyte et al. 1997; Rabus et al. 1999, Hara et al. 2003, van Beilen et al. 2004, Throne-Holst et al. 2006, Feng et al. 2007, Throne-Holst et al. 2007, Wentzel et al. 2007, Rojo 2009, Teramoto et al. 2009, Wasmund et al. 2009, Tapilatu et al. 2010, Alonso-Gutierrez et al. 2011, Teramoto et al. 2011). Among these, many were characterized from high-latitude marine environments. Specifically, the Pseudomonas strains isolated by Whyte et al. (1997) from Arctic soils may be transported to the marine environment via runoff. Alcanivorax species are known to be widespread in marine environments exposed to oil (Hara et al. 2003, van Beilen et al. 2004) and, if not prevalent in the Arctic environment, might be expected to be present because of currents. Thus, bacteria capable of alkane degradation are expected to be present in the Arctic oceans.
The ability to degrade aromatic hydrocarbons and, in particular, polynuclear aromatic hydrocarbons typically is considered to be less widespread than the ability to degrade alkanes. For example, some organisms have diverse pathways that confer the ability to degrade polynuclear aromatic hydrocarbons, e.g., Mycobacterium vanbaalenii (Kweon et al. 2011) and various Pseudomonas spp. (Whyte et al.1997). The distribution of these genes among bacteria in Arctic marine environments remains unknown.