Integrated modelling of Atlantic mackerel distribution patterns and movements: A template for dynamic impact assessments

Potential Consequences of Climate and Management Scenarios for the Northeast Atlantic Mackerel Fishery

“…We attempted to include inputs from the IPSL ESM but found that an underprediction of SST on the NEAM spawning grounds led to frequent recruitment failures in our IBM. With respect to the fish population model, we are aware of other IBMs representing NEAM (Utne et al, 2012;Heinänen et al, 2018). However, to our knowledge these IBMs were designed primarily to represent the stock's spatial distribution and do not make multi-generational predictions of stock size.…”

Agent‐based models to investigate sound impact on marine animals: bridging the gap between effects on individual behaviour and population level consequences

“…(B) Agent locations in Liverpool Bay in or close to a cross‐hatched area in which pile driving sound levels interrupt the migratory swimming behaviour of acoustically sensitive Atlantic cod (red points), but not for insensitive individuals (black points), which will therefore arrive earlier in the feeding and spawning areas (Rossington et al 2013). (C) Super‐agents in the Norwegian Sea with spatially variable habitat quality reflected in the background colour and the vessel track pattern of a seismic survey: black squares are schools of Atlantic mackerel moving unaffected by the seismic sound pulse, while red squares are schools that alter speed and direction due to the local SPL exceeding the threshold level (Heinänen et al 2018). (D) Agent tracks, reflecting harbour porpoise swimming trajectories, of simulated movements near continuous pile‐driving (black x) somewhere in the North Sea: the harbour porpoises that enter the yellow circle will be deterred away from the sound source (Nabe‐Nielsen et al 2018).…”

“…In the third case study, distribution patterns and migratory movement of Atlantic mackerel in the Norwegian Sea were used to explore the possibility of dynamic impact assessment of moving animals and a moving source of noise pollution (Heinänen et al 2018). The schools of mackerel were modelled applying the principle of super‐individuals, i.e.…”

“…Deterrence effects may include: delays or obstruction of migration, spatial displacement relative to local variation in habitat quality, redistribution of relative density patterns with competing individuals or species, and separation from group members. Detection issues related to masking or effects such as physiological stress are usually not yet incorporated into PCAD models, but energy budget changes due to disturbance and deterrence effects are implemented in some cases (Heinänen et al 2018, Nabe‐Nielsen et al 2018), and can cause changes in parameters that are considered vital rates: growth, maturation, reproduction and survival. Changes in vital rates can then have knock‐on effects on population dynamics (Fig.…”

Application of agent-based modelling for selecting configuration of vertical slot fishway

“…Earlier studies do not quantify the timedependent fish energy consumption for different fishway configurations. Also, previous studies present the coupled hydrodynamic models with ABMs intending to solve the problem of fish finding the fishway entrance [24][25][26], fish migrations in river estuaries [27], and seasonal migrations of fish in seas [28]. Fish trajectories that follow the agents from their source location in the watercourse to the fishway entrance were extracted in papers [24][25][26] .…”