Browsing by Author "Anthony, Steven G."

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    Comment on ‘Estimating methane emissions from manure: a suitable case for treatment?’
    (IOP Publishing, 2025-06-01) Anthony, Steven G.; Cardenas, Laura C.; Gilhespy, Sarah L.; Sandars, Daniel L.; Chadwick, David R.
    Ward et al (2024 Environ. Res. 1 025003) recently published a paper in this journal (Ward et al 2024 Environ. Res. 1 025003) asserting that methane emissions from manure management in the United Kingdom Inventory of Greenhouse Gas emissions could be under-estimated by a factor of four to five. This was based on extrapolation of measurements from two farms located in the south-west of England where manure management is purposely set-up to encourage methane release and capture, for use as a fuel source. We argue that methane thus extracted cannot be compared with the quantities emitted to the atmosphere on a typical farm which is what the national Inventory seeks to estimate, and show that existing Inventory calculations are consistent with wider literature and typical management practices in the United Kingdom.
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    Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments
    (Elsevier, 2015-12-03) Oliver, David M.; Porter, Kenneth D. H.; Yakov, A. Pachepsky; Muirhead, Richard W.; Reaney, Sim M.; Coffey, Rory; Kay, David; Milledge, David G.; Hong, Eunmi; Anthony, Steven G.; Page, Trevor; Bloodworth, Jack; Mellander, Per-Erik; Carbonneau, Patrice E.; McGrane, Scott J.; Quilliam, Richard S.
    The application of models to predict concentrations of faecal indicator organisms (FIOs) in environmental systems plays an important role for guiding decision-making associated with the management of microbial water quality. In recent years there has been an increasing demand by policy-makers for models to help inform FIO dynamics in order to prioritise efforts for environmental and human-health protection. However, given the limited evidence-base on which FIO models are built relative to other agricultural pollutants (e.g. nutrients) it is imperative that the end-user expectations of FIO models are appropriately managed. In response, this commentary highlights four over-arching questions associated with: (i) model purpose; (ii) modelling approach; (iii) data availability; and (iv) model application, that must be considered as part of good practice prior to the deployment of any modelling approach to predict FIO behaviour in catchment systems. A series of short and longer-term research priorities are proposed in response to these questions in order to promote better model deployment in the field of catchment microbial dynamics.