View abstract View article PDF The potential impacts of climate change on crop productivity are of widespread interest to those concerned with addressing climate change and improving global food security. Two common approaches to assess these impacts are process-based simulation models, which attempt to represent key dynamic processes affecting crop yields, and statistical models, which estimate functional relationships between historical observations of weather and yields. Examples of both approaches are increasingly found in the scientific literature, although often published in different disciplinary journals. Here we compare published sensitivities to changes in temperature, precipitation, carbon dioxide CO 2and ozone from each approach for the subset of crops, locations, and climate scenarios for which both have been applied.
What is the role DNA polymerases plan in maintaining the integrity of genetic information? What are the possibilities of targeting DNA polmerases with pharmaceutical agents in cancer therapies?
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What is the best chemical process of microbrewing beer?
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What are some of the most promising experiements? How can the hardest crystal, boron nitride, be best used in practical applications? What is the possibility that spun sugar strands could be useful for medical purposes? How are clouds formed? What is the connection between chemicals in seawater and cloud formation?
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Will it ever become a useful technology? Environment and Ecology Is it a good idea that the U. Can endangered areas and animals be saved by helping local people develop alternative economies like raising tropical fish or ecotourism?
Which of the current science fiction movies is the most plausible? Why do birds have such beautifully colored feathers?
How are insects being used as models for miniature robots? Why do animals hibernate?Environmental Economics Topics.
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