|
|
|
|
|
|
|
|
|
|
Home | Instructions to Authors |SASE| Editorial Board | Articles | Subscriptions | Conference | Conference Program |
|
|
|
|
|
|
|
|
|
Abstract Rodríguez, H.G., J.H. Popp, DOI: 10.4029/2007jemrest3no122 A stochastic
simulation model of a combination of 54 best management practices (BMPs)
including two levels of tillage, three fertilization rates and three
filter-strip widths was used to address total phosphorous (TP) loading in the
L’Anguille Watershed in Arkansas. The purpose of this study was to
identify the efficient set of BMPs in terms of its effectiveness to reduce TP
and its relative costs to rice and soybean producers. A sub-basin-level
simulation model was constructed using the soil and water assessment tool
simulated output data for TP. This information was combined with BMP cost
data for all 54 scenarios in 31 sub-basins. Scenarios were ranked in terms of
their relative cost-effectiveness of reducing TP per dollar spent using
stochastic efficiency techniques under a wide range of risk aversion levels.
Results suggested that five BMP combinations consistently out rank all
others, regardless of sub-basin size or amount of land devoted to agriculture
in the sub-basin. Scenario 10 (rice conservation-till, soybeans no-till, low
level of phosphorous (P) fertilization for both crops and a filter strip of 5
meters wide for soybeans) was the most preferred regardless of the decision
maker’s risk preferences. For example, if all producers in sub-basin
18, regardless their risk preferences implement this scenario and invest
$4,546 they will reduce 2,913 kg of TP. This methodology demonstrates the
benefits of analyzing risk faced by crop producers when they need to deal
with the joint effects of water regulations and the cost of implementing BMPs
in their farm operations. |
|
Copyright ©
2002-2009 |