Thresholds can have an effect on the value of water quality improvements to water users.

Plot supply curve for break-even price

The analysis here shows how adding values from improved water quality due to growing perennial feedstocks can decrease the break-even price for the feedstock biomass. In the first graph(s) we show quantiles for SWAT-derived HRUs (crops, subbasins etc.) that have associated values to water drinkers (avoided cost of treatment) and recreational users of water bodies (e.g., swimmers and waders).

## [1] "drink.cost3-valueP.0.04"

## [1] "Plotting to C:/Users/zij/Dropbox (ORNL)/MyProjects/Bioenergy/EcoServices-Valuation/Plots/drink.cost3-valueP.0.04/BEPquantiles.png"

Tabulate break-even prices

[1] “drink.cost3-valueP.0.04”

Break-even price ($/dt) for 0 kg/ha
variable 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
BEP.dt 58.6 64.9 66.8 69.6 70.7 71.8 73.3 78.2 81.1 89.9 107.3
BEP.N.dt 0.0 62.9 65.5 68.0 69.9 71.7 72.5 76.1 79.9 89.7 107.1
BEP.P.dt 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 96.0
BEP.NP.dt 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 95.9
Break-even price ($/dt) for 20-30 kg/ha
variable 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
BEP.dt 62.6 71.2 72.9 75 76.5 79.2 79.4 81.3 87.3 94.0 109.3
BEP.N.dt 0.0 69.6 72.0 74 76.5 79.0 79.2 81.1 86.5 93.9 109.2
BEP.P.dt 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 101.8
BEP.NP.dt 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 101.8
Break-even price ($/dt) for 60-70 kg/ha
variable 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
BEP.dt 68 83.7 84.8 87.5 89.7 92.0 94.6 97.5 99.4 101.3 114.3
BEP.N.dt 0 76.0 84.6 86.4 89.6 91.7 94.2 97.5 99.3 101.3 114.3
BEP.P.dt 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 21.3 113.8
BEP.NP.dt 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 14.8 113.8
Break-even price ($/dt) for 100-110 kg/ha
variable 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
BEP.dt 73.5 88.5 97.6 100.5 102.8 104.8 106.2 109.7 115.9 116.0 132.7
BEP.N.dt 0.0 81.6 91.5 99.0 102.8 104.8 105.7 109.1 115.9 116.0 132.7
BEP.P.dt 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 48.7 132.2
BEP.NP.dt 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 43.2 132.2