Access
To read this story in full you will need to login or make a payment (see right).
Letters to Nature
Nature 403, 68-71 (6 January 2000) | doi:10.1038/47456; Received 22 March 1999; Accepted 11 November 1999
Open Innovation Challenges
-
Fast Growth of Transformed Soybean Shoots
A method for accelerating growth of soybean shoots is desired.
-
Efficient Chromosome Doubling: Plant Cell Division
The Seeker is looking for an efficient chromosome doubling method in plants and in particular, metho...
nature jobs
Project Leader - Natural Food Preservation
- Nestle Research Center
- Lausanne 1026 Switzerland
Post doc position in molecular virology
- Kansas University Medical Center
- Kansas City, Kansas, USA
Forecasting Andean rainfall and crop yield from the influence of El Niño on Pleiades visibility
Benjamin S. Orlove1,2, John C. H. Chiang2 & Mark A. Cane2
- Department of Environmental Science and Policy, University of California, Davis, California 95616, USA
- Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York 10964, USA
Correspondence to: Benjamin S. Orlove1,2 Correspondence and requests for materials should be addressed to B.S.O. (e-mail: Email: bsorlove@ucdavis.edu).
Abstract
Farmers in drought-prone regions of Andean South America have historically made observations of changes in the apparent brightness of stars in the Pleiades around the time of the southern winter solstice in order to forecast interannual variations in summer rainfall and in autumn harvests. They moderate the effect of reduced rainfall by adjusting the planting dates of potatoes, their most important crop1. Here we use data on cloud cover and water vapour from satellite imagery, agronomic data from the Andean altiplano and an index of El Niño variability to analyse this forecasting method. We find that poor visibility of the Pleiades in June—caused by an increase in subvisual high cirrus clouds—is indicative of an El Niño year, which is usually linked to reduced rainfall during the growing season several months later. Our results suggest that this centuries-old method2 of seasonal rainfall forecasting may be based on a simple indicator of El Niño variability.
To read this story in full you will need to login or make a payment (see right).

