# Example usage
\dontrun{
# Example 1. ----
# Calculate population-level survival during outmigration
# for fixed upstream and downstream dam passage probabilities
s_down <- make_downstream(
habitat_data = habitat,
river = 'Susquehanna',
downstream = 0.95,
upstream = 0.80
)
# Example 2. ----
# Explore how upstream passage affects catchment-wide survival
# during outmigration for a fixed downstream passage
upstream_p <- seq(from=0, to=1, by=0.01)
s_down <- vector(mode='numeric', length=length(upstream_p))
for(i in 1:length(upstream_p)){
s_down[i] <- make_downstream(
habitat_data = habitat,
river = 'Susquehanna',
downstream = 0.5,
upstream = upstream_p[i]
)
}
Zd = 1 - s_down
plot(x=upstream_p, y=Zd, type = 'l',
xlab='Upstream passage',
ylab = 'Total downstream mortality',
main = 'Susquehanna River'
)
# Example 3. ----
# Explore interactions between upstream and downstream
# passage probabilities when both vary. This changes
# drastically from one river to another depending on
# habitat above and below dams, and number of dams.
upstream_p <- seq(from=0, to=1, by=0.01)
downstream_p <- seq(from=0, to=1, by=0.01)
s_down <- matrix(data = NA, nrow=length(upstream_p), ncol = length(downstream_p))
for(i in 1:length(upstream_p)){
for(t in 1:length(downstream_p)){
s_down[i,t] <- make_downstream(
habitat_data = habitat,
river = 'Susquehanna',
downstream = downstream_p[t],
upstream = upstream_p[i]
)
}
}
zd <- 1 - s_down
filled.contour(x=upstream_p, y=downstream_p, z=zd,
xlab = 'Upstream passage probability',
ylab = 'Downstream survival per dam',
main = 'Catchment-wide dam mortality'
)
}
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