Comment on: “Peatland carbon stocks and burn history: Blanket bog peat core evidence highlights charcoal impacts on peat physical properties and long-term carbon storage”, by A. Heinemeyer, Q. Asena, W.L. Burn and A.L. Jones (Geo: Geography and Environment. 2018; e00063)

A recent paper by Heinemeyer et al. (2018) in this journal has suggested that the use of prescribed fire may enhance carbon accumulation in UK upland blanket bogs. We challenge this finding based on a number of concerns with the original manuscript including the lack of an unburned control, insufficient replication, unrecognised potential confounding factors, and potentially large inaccuracies in the core dating approach used to calculate carbon accumulation rates. We argue that burn‐management of peatlands is more likely to lead to carbon loss than carbon gain

The polyanalytic Ginibre ensembles

We consider a polyanalytic generalization of the Ginibre ensemble. This models allowing higher Landau levels (the Ginibre ensemble corresponds to the lowest Landau level). We study the local behavior of this point process under blow-ups.Comment: 31 page

Nested Bitemporal Relational Algebra

We introduce a nested bitemporal relational data model that allows arbitrary levels of nesting. Bitemporal data is attached to attributes. The fundamental construct for representing temporal data is a bitemporal atom that consists of three parts: transaction time, valid time and a value. We have defined algebra for the nested bitemporal relational model. The algebra includes operations to manipulate bitemporal data, to restructure nested bitemporal relations and to rollback database to a designated state in the past. We have also defined the concept of 'context' for using temporal data. Bitemporal context is for auditing purposes and rollback context is for querying past states of a bitemporal database