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Alley cropping as an alternative under changing climate and risk scenarios: A Monte-Carlo simulation approach

Formally Refereed
Authors: Michael A. Cary, Gregory E. Frey
Year: 2020
Type: Scientific Journal
Station: Southern Research Station
Source: Agricultural Systems


Alley cropping is an agroforestry system in which annual crops are grown in alleys between rows of woody perennials for timber or other products, which can provide ecosystem services and help farmers diversify outputs. But is alley cropping a financially viable alternative to monocropping? To answer this question, a Monte Carlo model of financial risk and returns was used to understand how this diversification of outputs might help farmers in the southeast United States adapt to future scenarios in which agriculture or forestry may become more risky due to a changing climate or other factors. Traditional monocropping had the highest mean returns in the base scenario (based on current risk conditions), but the highest risk. Pine plantations had the lowest returns and lowest risk, and alley cropping was intermediate (mean soil expectation values of $5513 for monocropping, $3955 for alley cropping, and $2693 for pine plantations). The model results showed that traditional mono- cropping does not stochastically dominate alley cropping in any of the risk scenarios, meaning that alley cropping may have a place for risk-averse farmers. Furthermore, in the scenario in which the downside risk of annual crop production is increased  perhaps due to increased frequency of floods, droughts, etc. alley cropping mean returns are higher and risk lower than traditional monocropping (mean soil expectation values of $2951 and $2911, respectively and pine plantations at $2688), meaning any risk averse farmer might prefer alley cropping to monocropping.


Agroforestry Climate change, Economic returns, Forestry, Risk Stochastic modeling


Cary, Michael A.; Frey, Gregory E. 2020. Alley cropping as an alternative under changing climate and risk scenarios: A Monte-Carlo simulation approach. Agricultural Systems. 185: 102938-.