Description Usage Arguments Value References Examples

View source: R/calcFunctionalIndices.r

The proportion of matrices that are locally stable, these matrices are created by sampling the values of the community matrix
(the Jacobian) from a uniform distribution, preserving the sign structure (the links) 1.
It also calculates the mean of the real part of the maximum eingenvalue, which is also a measure of stability 2
It uses a uniform distribution between 0 and maximum values given by the parameters `negative`

, `positive`

and `selfDamping`

corresponding to the sign of interactions and self-limitation effect3.
If the values of these parameters are 0 then there is no interaction of that kind.

1 2 | ```
calc_QSS(ig, nsim = 1000, ncores = 0, negative = -10,
positive = 0.1, selfDamping = -1)
``` |

`ig` |
igraph or a list of igraph networks |

`ncores` |
number of cores to use in parallel comutation if 0 it uses sequential processing |

`negative` |
the maximum magnitude of the negative interaction (the effect of the predator on the prey) must be <= 0 |

`positive` |
the maximum magnitude of the positive interaction (the effect of the prey on the predator) must be >= 0 |

`selfDamping` |
the maximum magnitude of the self-limitation (the effect of the species on itself) must be <= 0 |

`sims` |
number of simulations to calculate QSS |

a data.frame with the QSS, and MEing, the mean of the real part of the maximum eingenvalue

Allesina, S. & Pascual, M. (2008). Network structure, predator - Prey modules, and stability in large food webs. Theor. Ecol., 1, 55–64.

Grilli, J., Rogers, T. & Allesina, S. (2016). Modularity and stability in ecological communities. Nat. Commun., 7, 12031

Monteiro, A.B. & Del Bianco Faria, L. (2017). Causal relationships between population stability and food-web topology. Functional Ecology, 31, 1294–1300.

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