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LoopAnalyst (version 1.1-1)

make.adjoint: Compute the Adjoint of the Negative Community Matrix

Description

Validates a community matrix and computes the adjoint matrix of it's negative.

Usage

make.adjoint(CM, status=FALSE)

Arguments

CM
A valid community matrix.
status
Switches on an element-by-element progress indicator when set to TRUE. Set to FALSE by default.

Value

  • The adjoint matrix of a negative community matrix

Details

The supplied matrix is validated as a community matrix, and the adjoint matrix of the community matrix's negative is computed. The value of a given element indicates the sum of feedback at all levels, under the assumption that, in the absence of relative specification of community matrix linkages, each level of feedback ought to account for the same proportion of total feedback contributing to the effect on j of a press perturbation on i. Values of a given element may be positive, zero or negative integer values, but of a magnitude no larger than the corresponding value in the absolute feedback matrix T. NOTE: weighted feedback, adjoint and absolute feeback matrices are transposed relative to the community effect matrix.

References

Dambacher, J. M., et al. (2003) Qualitative stability and ambiguity in model ecosystems. The American Naturalist, 161(6),876--888

Dambacher, J. M. and Li, H. W. and Rossignol, P. A. (2002) Relevance of community structure in assessing indeterminacy of ecological predictions. Ecology, 83(5),1372--1385

See Also

make.cem, make.wfm, make.T, and weighted.predictions.

Examples

Run this code
## compute adjoint of a negative of a community matrix
data(community.matrix)
make.adjoint(community.matrix)

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