Land allocation conditioned on El Nino Southern Oscillation phases in the Pampas of Argentina

Citation
Cd. Messina et al., Land allocation conditioned on El Nino Southern Oscillation phases in the Pampas of Argentina, AGR SYST, 60(3), 1999, pp. 197-212
Citations number
53
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRICULTURAL SYSTEMS
ISSN journal
0308521X → ACNP
Volume
60
Issue
3
Year of publication
1999
Pages
197 - 212
Database
ISI
SICI code
0308-521X(199906)60:3<197:LACOEN>2.0.ZU;2-U
Abstract
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.