The magnitude of the CO 2 pulse is likely related to soil physical characteristics and to the size of the available C pool, which is partly controlled by plants. We propose that the magnitude of the rewetting event (Δψ) determines the relative contribution from the array of substrates that contribute to the soil CO 2 pulse upon rewetting. Many studies since 1987 have addressed the origin of this CO 2 pulse, finding multiple possible C sources involving both biotic and abiotic processes. The present paper offers a perspective on how the field has progressed since the 1987 paper was published in Soil Biology & Biochemistry, what it means in terms of current concerns about global climate change, and the needs and potential emphases of future research. Microbial biomass is one of the sources of mineralized C, as was demonstrated over 30 years ago (Kieft et al., 1987). In arid and semi-arid systems, soil CO 2 losses upon rewetting at the end of extended dry periods can contribute a significant fraction to the overall carbon (C) budget.
Therefore all we ask from you is a list of the journals you read which include the most relevant assigned NMR data for your field of chemistry.Rewetting dry soils is associated with a burst of microbial activity and mineralization, which manifests itself as a pulse in soil CO 2 emissions, long-known as the Birch effect. Once we have abstracted from the journals and added the data to our collection we will let you know as soon as they are available. If we are not abstracting from the journals you suggest we will tell you if and when we will start abstracting from those journals. If we are already abstracting from the journals you suggest we will tell you so and refer you to: for more details. We will reply to you after collecting your responses. Journals which include NMR data consisting of chemical structures and NMR peak lists, but with no assignment of the peaks to the atoms in the molecule, are of no use to a prediction program. Please note that the word assigned is critical. Simply send Professor Robien an email at: him which journals are of most value to you in terms of relevant ASSIGNED NMR data. Now which data is abstracted can be driven by you! All we need to know is which journals contain the most relevant assigned NMR data for your work. Which journals (and years of publication) have been extracted from during the past decade can be seen here. Professor Robien and his team of co-workers in Vienna are able to abstract about 15,000 assigned NMR data each year from the literature. However, the accuracy of prediction depends not just on the size of the database but on its relevance to you and your chemistry. In the case of carbon-13 prediction the database already contains nearly half a million assigned spectra under ongoing validation and curation. The NMRPredict Desktop module, offered as part of Mnova and supplied to us by Modgraph, relies to a large extent for its accuracy on the databases behind it.