Data from: Complexity increases predictability in allometrically constrained food webs

Iles AC, Novak M

Date Published: February 17, 2016

DOI: http://dx.doi.org/10.5061/dryad.m27p0

 

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Title Iles_Novak_2016_AmNat_ATN_Model_Simulation_Data
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Description This is structured data file containing the ATN model simulation results described and analyzed in Iles & Novak 2016. The file contains a cell array for each of the 5790 network simulations performed in Matlab. Each cell array is named ‘ATN_#’, with the ‘#’ corresponding to the network number.   Each cell array for each network contains 9 variables, including:     1. the network number: a unique number for each network (1 to 5790)     2. the species richness: the number of species in the simulation; a network level property     3. trophic connectance: the proportion of all possible direct feeding links (L) between species (S) that are realized from the feeding matrix, C = L/S2; a network level property     4. dynamical connectance: a measure of connectance that includes all effects as encapsulated by the non-zero elements of the Community matrix. These include not only consumer-resource effects, but also intraspecific effects, apparent mutualisms and competition between producers; a network level property     5. the feeding matrix: a matrix of 1s and 0s indicating which species feed on which other species defined by the niche model; an interaction level property     6. species trophic levels: a vector of a trophic level values (one for each species) is calculated from the feeding matrix based on methods of Levine 1960; a species level property     7. species body mass: a vector of randomly drawn body masses (one for each species) based on the species trophic level; a species level property)     8. maximum eigenvalue of the Community matrix: a measure of asymptotic stability with which we can exclude unstable networks from the analysis; a network level property     9. Community matrix: a matrix of direct species interaction strengths from which the net effects can be calculated and predictability can be evaluated; the pairwise partial derivatives of the ith species’ growth rate with respect to the biomass of species j (a.k.a. a Jacobian matrix), evaluated at equilibrium biomass densities; an interaction level property  
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When using this data, please cite the original publication:

Iles AC, Novak M (2016) Complexity increases predictability in allometrically constrained food webs. The American Naturalist 188(1): 87-98. http://dx.doi.org/10.1086/686730

Additionally, please cite the Dryad data package:

Iles AC, Novak M (2016) Data from: Complexity increases predictability in allometrically constrained food webs. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.m27p0
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