A geospatial framework to support integrated biogeochemical modelling in the United Kingdom
Greene, S.; Johnes, P.J.; Bloomfield, J.P. ORCID: https://orcid.org/0000-0002-5730-1723; Reaney, S.M.; Lawley, R.; Elkhatib, Y.; Freer, J.; Odoni, N.; Macleod, C.J.A.; Percy, B.. 2015 A geospatial framework to support integrated biogeochemical modelling in the United Kingdom. Environmental Modelling & Software, 68. 219-232. 10.1016/j.envsoft.2015.02.012
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Abstract/Summary
Anthropogenic impacts on the aquatic environment, especially in the context of nutrients, provide a major challenge for water resource management. The heterogeneous nature of policy relevant management units (e.g. catchments), in terms of environmental controls on nutrient source and transport, leads to the need for holistic management. However, current strategies are limited by current understanding and knowledge that is transferable between spatial scales and landscape typologies. This study presents a spatially-explicit framework to support the modelling of nutrients from land to water, encompassing environmental and spatial complexities. The framework recognises nine homogeneous landscape units, distinct in terms of sensitivity of nutrient losses to waterbodies. The functionality of the framework is demonstrated by supporting an exemplar nutrient model, applied within the Environmental Virtual Observatory pilot (EVOp) cloud cyber-infrastructure. We demonstrate scope for the use of the framework as a management decision support tool and for further development of integrated biogeochemical modelling.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1016/j.envsoft.2015.02.012 |
UKCEH and CEH Sections/Science Areas: | Acreman |
ISSN: | 1364-8152 |
Additional Information. Not used in RCUK Gateway to Research.: | Open Access paper - full text available via Official URL link |
Additional Keywords: | water resource management, spatial targeting, pollution, cloud computing, decision support |
NORA Subject Terms: | Ecology and Environment Computer Science |
Date made live: | 25 Mar 2015 12:09 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/510441 |
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