Soil Phosphorus Modeling for Modern Agriculture Requires Balance of Science and Practicality: A Perspective. Issue 5 (12th September 2019)

• Record Type: Journal Article
• Authors: Das, Bianca; Huth, Neil; Probert, Merv; Condron, Leo; Schmidt, Susanne
• Is Part Of: Journal of Environmental Quality. Volume 48:Issue 5(2019)
• Page Start: 1281
• Page End: 1294
• Publication Date: 2019-09-12
• Subjects: APSIM, Agricultural Production Systems sIMulator -- DSSAT, Decision Support System for Agrotechnology Transfer -- EPIC, Erosion‐Productivity Impact Calculator -- PUE, phosphorus use efficiency; Agricultural ecology -- Periodicals; Environmental engineering -- Periodicals; Pollution -- Periodicals; 630
• DOI: 10.2134/jeq2019.05.0201
• Languages: English
• ISSNs: 0047-2425

Abstract

Abstract : The use of phosphorus (P) fertilizers in arable crop and pastoral systems is expected to change as modern agriculture is challenged to produce more food with fewer inputs. Agricultural systems models offer a dual purpose to support and integrate recent scientific advances and to identify strategies for farmers to improve nutrient efficiency. However, compared with nitrogen and carbon, advances in P modeling have been less successful. We assessed the potential opportunity of P modeling to increase P efficiency for modern agriculture and identified the current challenges associated with modeling P dynamics at the field scale. Three major constraints were (i) a paucity of detailed field datasets to model strategies aimed at increasing P use efficiency, (ii) a limited ability to predict P cycling and availability under the local effects of climate change, and (iii) a restricted ability to match measured soil P fractions to conceptual and modelable pools in soils with different mineral properties. To improve P modeling success, modelers will need to walk a tightrope to balance the roles of assisting detailed empirical research and providing practical land management solutions. We conclude that a framework for interdisciplinary collaboration is needed to acquire suitable datasets, continually assess the need for model adjustment, and provide flexibility for progression of scientific theory. Such an approach is likely to advance P management for increased P use efficiency. Core Ideas: Models can complement research and identify strategies to increase P efficiency. A variety of quality long‐term field trials is needed to advance model capabilities. Well‐calibrated soil models are needed to assess climate change impacts on P cycling. A framework is needed to streamline multidisciplinary research to improve P management.