Ecophysiological models are widely used to simulate potential impacts of climate change on agricultural systems because they reflect the best-available information on how plants respond to environmental factors and crop management. Nonetheless, use of the models involves numerous assumptions whose net effects are difficult to quantify. Results from ecophysiological models are also sensitive to the quality of inputs for cultivar traits, soil conditions, weather, and management.

Researchers concerned with impacts of climate change on agriculture should strive to understand the compromises inherent in developing and applying ecophys-iological models in climate change research. Candidate models should be evaluated thoroughly and close attention paid to the accuracy of the inputs. When possible, output from more than one model should be compared and simulations should be compared with alternate approaches, such as the statistical methods discussed in the following chapters.

Renewable Energy 101

Renewable Energy 101

Renewable energy is energy that is generated from sunlight, rain, tides, geothermal heat and wind. These sources are naturally and constantly replenished, which is why they are deemed as renewable. The usage of renewable energy sources is very important when considering the sustainability of the existing energy usage of the world. While there is currently an abundance of non-renewable energy sources, such as nuclear fuels, these energy sources are depleting. In addition to being a non-renewable supply, the non-renewable energy sources release emissions into the air, which has an adverse effect on the environment.

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