Brian W. Murphy
Office of Environment and Heritage
26 Papers
106 Citations
Brian W. Murphy is an academic researcher from Office of Environment and Heritage. The author has contributed to research in topics: Soil carbon & Soil water. The author has an hindex of 14, co-authored 24 publications. Previous affiliations of Brian W. Murphy include Department of Planning and Environment.
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Papers
Soil carbon dynamics in saline and sodic soils: a review.
TL;DR: In this article, the authors reviewed soil processes that commonly occur in saline and sodic soils, and their effect on C stocks and fluxes to identify the key issues involved in the decomposition of soil organic matter and soil aggregation processes which need to be addressed to fully understand C dynamics in salt-affected soils.
401
Building and testing conceptual and empirical models for predicting soil bulk density
G. Tranter,Budiman Minasny,Alex B. McBratney,Brian W. Murphy,Neil McKenzie,Mike Grundy,Daniel M. Brough +6 more
TL;DR: In this paper, a conceptual model for predicting soil bulk density from other more regularly measured properties was proposed, which considers soil bulk densities to be a function of soil mineral packing structures (ρ m ) and soil structure (Δp).
179
Regional transferability of mid-infrared diffuse reflectance spectroscopic prediction for soil chemical properties
TL;DR: In this article, the ability of mid-infrared diffuse reflectance spectroscopy (MIR-DRS) to predict various soil chemical properties with emphasis on the elucidation of possible mechanisms of prediction was examined.
120
Comparing Spectral Soil Inference Systems and Mid-Infrared Spectroscopic Predictions of Soil Moisture Retention
TL;DR: In this paper, the efficacy of mid-infrared reflectance spectroscopy in predicting moisture retention and whether better predictions can be achieved using pedotransfer functions using spectroscopic predictions of basic soil constituents as inputs.
37
Towards cost-effective estimation of soil carbon stocks at the field scale
TL;DR: In this article, the authors explored the costs associated with estimating the mean soil carbon stocks within a 68-ha field on the old alluvial soils of the Macquarie River in central-west New South Wales (Red Chromosols or Red Luvisols).
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