Introduction
Investigating ecosystem tipping points and cascades in the Arctic Seas
 
    Melting ice in the Arctic is a tipping element
The reduction of Arctic sea ice and melting of the Greenland Ice sheet are examples of tipping elements which have global effects within the earth system. Between 1994 and 2017, about 28 trillion tons of ice entered the seas globally, of which about 60% was from the Northern hemisphere. The Greenland ice sheet alone lost more than 530 billion tonnes in 2019. All of this additional freshwater input into the seas has several effects. First, it contributes to sea level rise, which is perhaps the most well-known effect. The additional input of freshwater also affects the chemistry and physics of the ocean, as freshwater has different a composition and density than sea water.
More freshwater = more layering in the ocean
    As more freshwater enters into the seas within the Arctic, it creates a
    layer of less-dense water on top of the more saline water, thus
    strengthening the stratification (layering) of the Arctic seas. This
    disrupts the vertical mixing of water, which is typical of polar seas. It
    can potentially disrupt the upward mixing of nutrients that support a high
    primary production and eventually productive fisheries, while also
    preventing or slowing the sinking of cold, salty water that drives the
    circulation patterns and deep-sea currents. It is for this reason that
    scientists worry that the Atlantic Meridional Overturn Circulation (AMOC)
    which Gulf Stream in the Atlantic Ocean is part of, may weaken, with knock
    on implications for the global climate.
    
    
    At the same time, the Arctic is changing in other, similarly profound ways.
    Water temperatures are increasing at a rate that is twice the global
    average, species from temperate regions are appearing and polar species are
    moving northward, and the timing of annually recurring events is changing.
    It is clear that biodiversity and the ecosystem functions in Arctic waters
    are being assaulted and irrevocably altered. However, the impact that these
    changes will have on two key ecosystem services, fisheries and carbon
    sequestration, is still largely unknown.
  
Physical changes can trigger biological changes, creating a cascade
 
    
    When a threshold is crossed in one part of the system, such as melting of
    the Greenland Ice Sheet, it can result in changes in another partw of the
    system, such as the open ocean ecosystem, which can reach its own tipping
    point – an ecosystem regime shift where one type of marine community changes
    to another type of community. This is called a tipping cascade with multiple
    tipping points. A decrease in Arctic Sea Ice and melting of the Greenland
    Ice sheet, and subsequent increase in freshwater inflow and stratification,
    can trigger a change in the biological system: an “ecosystem tipping
    cascade”.
    
    Much of the annual primary production in a seasonally-pulsed pelagic system
    typically takes place during the spring bloom, when abundant nutrients and
    sufficient light support a high production of large phytoplankton. The
    theory is that with warming and / or freshening of the surface waters, the
    layering - or stratification - would strengthen. This could trigger a change
    in the phytoplankton production and community composition – an ecosystem
    tipping cascade with consequences that could cascade all way up to marine
    mammals, fisheries production, human systems and global climate.
  
Where does ECOTIP come in?
    ECOTIP operates at this important link between the physical and biological
    systems, where a regional change in the hydrography of the Arctic Ocean
    might trigger a biological change at the base of the marine food web with
    cascading effects both on the regional and local socio-economic systems
    through fisheries, and on the global climate through carbon sequestration.
    ECOTIP is attempting to anticipate and predict these changes. Yet a few
    knowledge barriers still exist:
    
  
 
    ©iStockphoto / Elif Bayraktar
     We still don´t have a
    good understanding how marine biodiversity in the Arctic is responding to
    pressure from multiple sources. These include climate-related pressures such
    as temperature, salinity and pH, as well as land and ocean-based stressors
    in the form of invasive species, pollution such as heavy metals, marine
    litter and oil, and fishing. How organisms will respond to combinations of
    these stressors is largely unknown. 
    
 Our current way of
    describing marine biodiversity and modelling it has its limitations. Despite
    a century of detailed taxonomic studies, over 90% of the Arctic marine
    species (macro-organisms) are currently thought to be undiscovered. This
    makes it difficult to connect species, ecosystem functions and services, and
    hampers efforts to model the system. 
    
 We are unable to
    predict what are the consequences of the changes in plankton community
    composition for either carbon sequestration or fisheries. 
    
 Our knowledge is
    still fragmented of how biological changes are interacting with human
    decisions and behaviour, including how fisheries resources are managed in
    the Arctic. This limits our ability to develop adaptation options jointly
    with local communities and Indigenous Peoples in the Arctic.
  
How will ECOTIP address these issues, and how is it unique?
 
    ©fruchtzwerg's world
     We will apply new
    molecular methods on environmental DNA (“eDNA”) to detect invasive species
    in the Arctic. eDNA refers to DNA molecules that can be collected from the
    environment (e.g. water samples). The usage of eDNA for species monitoring
    is revolutionary as it saves time, costs, and workload without impairing
    neither the target organism nor the ecosystem. 
    
     We will also apply the
    latest developments in paleo-oceanography by examining sediment cores, to
    peer into the past one thousand years, giving new insights into on the
    effects of multiple stressors and the speed of the recovery in marine
    biodiversity. 
    
     We will apply the
    traits-based approach: we will approach changes in Arctic biodiversity and
    associated ecosystem consequences through a trait-based approach, where
    species will be replaced by their functional traits. This helps us to
    overcome the challenge that a large amount of unknown species still exist. A
    trait-based approach also allows for realistic scenarios of biodiversity
    change as a response to multiple anthropogenic stressors, since the
    likelihood of regime shifts, changes in food web interactions or the
    stability of the ecosystem can be studied as a function of trait
    composition.
  
 
    
     We will fill crucial gaps
    in understanding the biological pump: we will provide mechanistic
    understanding of the unknown processes that are ignored in current model
    representations of the biological pump, such as autotrophic production by
    archaea in the twilight zone, export flux due to sinking of small
    phytoplankton and cyanobacteria, and degradation of export flux by
    particle-colonising zooplankton – all of which have the potential to
    radically change the Earth System Model predictions that IPCC and other
    assessments rely on. 
    
     We will co-create
    knowledge with local communities in the Arctic: We will work closely with
    fisheries communities and other groups in Greenland and elsewhere, drawing
    on in-depth traditional knowledge of local societies and stakeholders, and
    bring in research and insights into invasive species and their monitoring,
    ecosystem service changes, predictions of ecosystem tipping cascades, and
    socio-economic modelling and forecasting. This two-way process will both
    increase our knowledge on the future Arctic ecosystem, and help to co-create
    adaptation scenarios. 
    
     We will develop Bayesian
    networks, which are networks of connected variables that can generate
    predictions based on assumptions. Bayesian networks can be used to predict
    the ecosystem vulnerability through different stressor combinations. It can
    also be used as a knowledge-driven tool to interact with our stakeholders
    and target groups, for example by exploring various ecosystem scenarios.
  
