The El Nino-Southern Oscillation (ENSO) contributes to the vulnerability of
crop production to climate variability in the Pampas region of Argentina.
Predictability of regional climate anomalies associated with ENSO may provi
de opportunities to tailor decisions to expected climate, either to mitigat
e expected adverse conditions or to take advantage of favorable conditions.
Model analysis was used to explore the potential for tailoring land alloca
tion among crops to ENSO phases at the farm scale in two sub-regions of the
Pampas. The model identifies as a function of risk preferences and initial
wealth the crop mix that maximizes expected utility of wealth at the end o
f a 1-year decision period based on current costs and prices, and crop yiel
ds simulated for each year of historical weather. The model reproduced rece
nt land allocation patterns at the district scale under moderate risk avers
ion, and predicted increasing diversification with increasing risk aversion
. Differences in land allocation among ENSO phases were consistent with kno
wn climate response to ENSO, and crop response to water availability. Tailo
ring land allocation to ENSO phase increased mean net farm income between U
S$5 and $15 ha(-1) year(-1) relative to optimizing the crop mixture for all
years, depending on location, risk aversion and initial wealth. The relati
onship between potential value of ENSO information and risk aversion was no
t monotonic, and differed between locations. Crop mix and information value
also varied with crop prices and initial soil moisture. There are potentia
l financial benefits of applying this approach to tailoring decisions to EN
SO phases. (C) 1999 Elsevier Science Ltd. All rights reserved.