Estimating the exposure of agriculture to climate variability and change can help us
understand key vulnerabilities and improve adaptive capacity, which is vital to secure and
increase world food production to feed its growing population. A number of indices to estimate exposure are available in literature. However, testing or validating them is difficult and reveals a considerable variability, and no systematic methodology has been developed to guide users in selecting indices for particular applications. This need is addressed in this paper by developing a flowchart from a conceptual model that uses a system’s approach.
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- United States of America