Skip to main content
. 2017 Sep 17;20(10):1219–1230. doi: 10.1111/ele.12824

Table 2.

Metrics of trophic interaction modification strength, discussed in more detail in the main text. Indices: i = prey, j = predator, k = modifier species

Metric Composition Explanation
Modification parameter
cijk
Parameter in function that links modifier species density to consumption rate in the functional response model (van Veen et al. 2005)
Modification term
f(cijk,k)
The term by which a functional response parameter, such as attack rate, is modified. It incorporates modifier density and TIM model structure (Golubski & Abrams 2011)
Flux change
Δrel=f(i,j,k=0)f(i,j,k)
The difference in the interaction strength (as measured by biomass or energy flux) due to the modifier, as either a raw difference or a ratio (Peacor & Werner 2004)
Δabs=fi,j,k=0f(i,j,k)
Change in BCR
IIcijk=0
The relative change in biomass potential of the resource (BCR, computed from the relative change in equilibrium density of the resource in the presence of the consumer, Gilbert et al. 2014) due to a TIM as the ratio of the equilibrium value of the prey with and without the TIM
Coefficient of variation in modification
σfkμfk
For non‐stationary systems, the ratio of the standard deviation of the interaction strength modification divided by the mean modification over a period of time
Elements of Jacobian matrix
I˙K,J˙K
TMII framework metric representing the direct effects of the modifier species on each interactor (Abrams 2008; Okuyama & Bolker 2012)
Partial derivatives of Jacobian matrix
KAij,KAji
The change in direct interaction strengths between the interactors with respect to modifier density
Partial derivatives of inverse negative Jacobian matrix
K(A1)ij,K(A1)ji
The change in total (indirect and direct) interaction strength between the interactors with respect to modifier density