Changes between Version 2 and Version 3 of EwEugModellingSwitchingBehaviourInEcosim


Ignore:
Timestamp:
2010-01-30 20:00:08 (9 years ago)
Author:
varunr
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • EwEugModellingSwitchingBehaviourInEcosim

    v2 v3  
    11== 3.11 Modeling switching behavior in Ecosim == 
    2  
    3 Predators are said to ‘switch’ from one prey to another when predator diet proportion of each type changes more rapidly than the relative abundance of that type in the environment.  Eating more of something when it becomes abundant does NOT imply switching, but rather just more frequent encounters with that type; the predator is said to switch if it takes disproportionately more of the thing as it becomes more abundant. 
     2Predators are said to ‘switch’ from one prey to another when predator diet proportion of each type changes more rapidly than the relative abundance of that type in the environment.  Eating more of something when it becomes abundant does NOT imply switching, but rather just more frequent encounters with that type; the predator is said to switch if it takes disproportionately more of the thing as it becomes more abundant. 
    43 
    54Three mechanisms that can lead to switching patterns in diet composition and prey mortality are represented in Ecosim: 
    65 
    7   1. Apparent switching away from prey that are declining in abundance, due to those prey seeing less intraspecific competition and hence spending less time at risk to predation; this effect occurs for any prey species (and impacts feeding on it by all of its predators) whenever Ecosim Feeding time adjustment is set >0 in the [[Group info.htm#_Read_time_series|Group info]] interface. 
     6 1. Apparent switching away from prey that are declining in abundance, due to those prey seeing less intraspecific competition and hence spending less time at risk to predation; this effect occurs for any prey species (and impacts feeding on it by all of its predators) whenever Ecosim Feeding time adjustment is set >0 in the [[Group info.htm#_Read_time_series|Group info]] interface. 
    87 
    9   2. Apparent switching in Ecospace, caused by fitness-sensitive movement; when Ecospace parameters are set to cause increased (and/or directional) movement from cells where ‘fitness’ (per capita food intake minus instantaneous mortality rate) is lower, predators will appear (for the system as a whole) to switch to more abundant prey, and prey that are declining in abundance will see lower predation rates in the cells where they remain concentrated. 
     8 2. Apparent switching in Ecospace, caused by fitness-sensitive movement; when Ecospace parameters are set to cause increased (and/or directional) movement from cells where ‘fitness’ (per capita food intake minus instantaneous mortality rate) is lower, predators will appear (for the system as a whole) to switch to more abundant prey, and prey that are declining in abundance will see lower predation rates in the cells where they remain concentrated. 
    109 
    11   3. Explicit changes in Ecosim rates of effective search, representing fine-scale behavioral choices by predators to spend more or less foraging time in the arenas where specific prey are concentrated. In this case, the behavioral choice among arenas is predicted from Ideal Free Distribution (IFD) arguments that predators should allocate foraging time so as to minimize time needed to obtain normal food consumption rates. 
     10 3. Explicit changes in Ecosim rates of effective search, representing fine-scale behavioral choices by predators to spend more or less foraging time in the arenas where specific prey are concentrated. In this case, the behavioral choice among arenas is predicted from Ideal Free Distribution (IFD) arguments that predators should allocate foraging time so as to minimize time needed to obtain normal food consumption rates. 
    1211 
    13 In the third of these approaches, the Ecosim rate of effective search aij for predator type j on prey type i is modified at each simulation time step in relation to changes in abundance of all prey types, using a ‘gravity model’ approximation for the IFD allocation of predator foraging time among prey-specific foraging arenas.  The equation used for this modification is aij(t) = KijaijBi(t)Pj / Σi’ai’jBi ’(t)Pj Eq. 55 
     12In the third of these approaches, the Ecosim rate of effective search aij for predator type j on prey type i is modified at each simulation time step in relation to changes in abundance of all prey types, using a ‘gravity model’ approximation for the IFD allocation of predator foraging time among prey-specific foraging arenas.  The equation used for this modification is aij(t) = !KijaijBi(t)Pj / Σi’ai’jBi ’(t)Pj Eq. 55 
    1413 
    15 Here, aij is the base rate of effective search calculated from Ecopath and vulnerability exchange parameters, Kij is a scaling constant that makes the time-specific aij(t) equal aij when all prey biomasses Bi are at Ecopath base values, and the ‘switching power parameter’ Pj is a user-supplied (empirical, to be estimated from field data or model fitting)  power parameter representing how strongly the predator responds to changes in prey availability (switching power parameter on the Group info form).  In particular: 
     14Here, aij is the base rate of effective search calculated from Ecopath and vulnerability exchange parameters, Kij is a scaling constant that makes the time-specific aij(t) equal aij when all prey biomasses Bi are at Ecopath base values, and the ‘switching power parameter’ Pj is a user-supplied (empirical, to be estimated from field data or model fitting)  power parameter representing how strongly the predator responds to changes in prey availability (switching power parameter on the Group info form). In particular: 
    1615 
    1716Pj = 0,no switching 
     
    2120Pj >> 1, predator switches violently when any prey increases or decreases. 
    2221 
    23 Pj is limited to the range [0,2]. While See "aij(t) = KijaijBi(t)Pj / Σi’ai’jBi ’(t)Pj Eq. 55" is derived by pretending that predators must allocate time among mutually exclusive foraging arenas for each of their prey types (a typically unrealistic assumption), it can still be used (with Pj <<1 values) to represent more general ideas about why and how predators switch among prey, e.g. formation and loss of search images for finding them. 
     22Pj is limited to the range [0,2]. While See "aij(t) = !KijaijBi(t)Pj / Σi’ai’jBi ’(t)Pj Eq. 55" is derived by pretending that predators must allocate time among mutually exclusive foraging arenas for each of their prey types (a typically unrealistic assumption), it can still be used (with Pj <<1 values) to represent more general ideas about why and how predators switch among prey, e.g. formation and loss of search images for finding them. 
    2423 
    2524Impact of setting a positive switching power parameter can be exemplified based on migratory striped bass. In this example switching results in much more variable for the predator – which simulation is the more appropriate can only be determined from empirical information (Figure 3.11).