Green Coffee-Growing Practices Buffer Climate-Change Impacts
Over the last three decades, many Latin American coffee farmers have abandoned traditional shade-growing techniques, in which the plants are grown beneath a diverse canopy of trees. In an effort to increase production, much of the acreage has been converted to “sun coffee,” which involves thinning or removing the canopy.
Shade-grown farms boost biodiversity by providing a haven for birds and other animals. They also require far less synthetic fertilizer, pesticides and herbicides than sun-coffee plantations.
In the October edition of the journal BioScience, three U-M researchers say shade-growing also shields coffee plants during extreme weather events, such as droughts and severe storms. Climate models predict that extreme weather events will become increasingly common in the coming decades, as the levels of heat-trapping carbon dioxide gas continue to mount.
The U-M scientists warn Latin American farmers of the risks tied to “coffee-intensification programs”—a package of technologies that includes the thinning of canopies and the use of high-yield coffee strains that grow best in direct sunlight—and urge them to consider the greener alternative: shade-grown coffee.
“This is a warning against the continuation of this trend toward more intensive systems,” said Ivette Perfecto of the U-M School of Natural Resources and Environment, one of the authors. “Shaded coffee is ideal because it will buffer the system from climate change while protecting biodiversity.”
Perfecto has studied biodiversity in Latin American coffee plantations for 20 years. The lead author of the BioScience paper is Brenda Lin, whose 2006 U-M doctoral dissertation examined microclimate variability under different shade conditions at Mexican coffee plantations.
Lin is currently a Science and Technology Policy Fellow with the American Association for the Advancement of Science in Washington, D.C. The other author of the BioScience paper is John Vandermeer of the U-M Department of Ecology and Evolutionary Biology.
The livelihoods of more than 100 million people worldwide are tied to coffee production. In Latin America, most coffee farms lack irrigation—relying solely on rainwater—which makes them especially vulnerable to drought and heat waves.
Shade trees help dampen the effects of drought and heat waves by maintaining a cool, moist microclimate beneath the canopy. The optimal temperature range for growing common Arabica coffee is 64 to 70 degrees Fahrenheit.
Shade trees also act as windbreaks during storms and help reduce runoff and erosion.
Lin's work in southern Mexico showed that shady farms have greater water availability than sunny farms, due in part to lower evaporation rates from the coffee plants and soils. More shade also reduced peak temperatures between 10 a.m. and 2 p.m., when southern Mexican coffee plants experience the greatest heat stress.
“These two trends—increasing agricultural intensification and the trend toward more frequent extreme-weather events—will work in concert to increase farmer vulnerability,” Lin said. “We should take advantage of the services the ecosystems naturally provide, and use them to protect farmers' livelihoods.”
The study was funded by the National Security Education Program's David L. Boren Fellowship, the Lindbergh Foundation and the National Science Foundation.
More information about Ivette Perfecto is available at: http://www.ns.umich.edu/htdocs/public/experts/ExpDisplay.php?ExpID=599
Media Contact
More Information:
http://www.umich.eduAll latest news from the category: Agricultural and Forestry Science
Newest articles
First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes
Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…
Laser-based artificial neuron mimics nerve cell functions at lightning speed
With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…
Optimising the processing of plastic waste
Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…