Dependency | R Documentation |
Calculates for each component in a flow network the direct+indirect dependency on the other components.
Dependency(Flow = NULL, Tij = t(Flow), Import = NULL, Export = NULL)
Flow |
network matrix with Flow[i,j] the flow from i (row) to j (column); component positions in rows and columns must be the same; if present, rownames or columnnames denote the compartment names. |
Tij |
network matrix where connectance is from column j to row i; component positions in rows and columns must be the same ; if present, rownames or columnnames denote the compartment names. |
Import |
vector with either the *indices* or the *names* of
external compartmens from where flow enters the network;
the indices point to the column positions in |
Export |
vector with either the *indices* or the *names* of
external compartmens to where flow leaves the network;
the indices point to the row positions in |
A matrix with dependency of component i on component j
Karline Soetaert <karline.soetaert@nioz.nl>, Julius Kipyegon Kones<jkones@uonbi.ac.ke>
Kones, J.K., Soetaert, K., van Oevelen, D. and J.Owino (2009). Are network indices robust indicators of food web functioning? a Monte Carlo approach. Ecological Modelling, 220, 370-382.
# The takapoto atoll network Dependency(Takapoto, Import = "CO2", Export = c("CO2", "Sedimentation", "Grazing")) # making "Bacteria" a "primary food source" TAK <- Takapoto TAK[,"Bacteria"] <- c(0, 0, 0, 0, 0, 0, 1, 0) # first two columns DD <- Dependency(TAK, Import = c("CO2", "DOC"), Export = c("CO2", "DOC", "Sedimentation", "Grazing")) DD barplot(t (DD[3:nrow(DD), 1:2]), beside = TRUE, ylab = "-", legend = c("Phytoplankton","Bacteria"), main = "dependency on (primary) food sources")
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