Interactive comment on “Alaskan soil carbon stocks: spatial variability and dependence on environmental factors” by U. Mishra and W. J. Riley
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General Comments The discussion paper offers interesting results and a welcome alternative to assessing the soil carbon stocks and changes in Alaska. The equilibrium model approach is particularly helpful since the only other alternative to addressing the question of SOC response to warming seems to be process model outputs (i.e. “ESM’s” in the paper). The map is probably an improvement over other soil carbon maps and, as the authors point out, there is a need for spatial datasets to help improve and test model outputs. A couple of results that I found most revealing were: 1) that soil carbon stocks respond to warming; specifically, that there is a net loss of SOC
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Interactive comment on “Alaskan soil carbon stocks: spatial variability and dependence on environmental factors” by U. Mishra and W. J. Riley
Interactive comment on “Alaskan soil carbon stocks: spatial variability and dependence on environmental factors” by U. Mishra and W. J. Riley K. Johnson (Referee) [email protected] We thank the reviewer for the detailed review and thoughtful suggestions that we think will improve our manuscript. Looking at the general, specific, and technical comments of the reviewer, we found the fol...
متن کاملInteractive comment on “Alaskan soil carbon stocks: spatial variability and dependence on environmental factors” by U. Mishra and W. J. Riley
It is great to see someone knowledgeable about geostatistics offering feedback about this fine paperthank you Gustaf. Because the application of a spatially-resolved upscaling method is one of this paper’s strongest aspects, it would be appropriate if the results of this method were discussed at greater length in the context of other methods. For instance, in the Results and Discussion (page 12...
متن کاملInteractive comment on “Alaskan soil carbon stocks: spatial variability and dependence on environmental factors” by U. Mishra and W. J. Riley
General comments: The lack of data in this situation offers little constraint on model parameters as the observation data itself may not detect SOC change, or may erroneously indicate change. This will probably be true for even very sophisticated spatial modeling approaches that try to minimize these types of errors. Before reporting such a change estimate, I would ask the authors this: how con...
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