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Type: Conference paper
Title: Blueprint for a unifying framework for synthesis of aquatic ecodynamics
Author: Hipsey, M.
Hamilton, D.
Hanson, P.
Brookes, J.
Trolle, D.
Bruce, L.
Citation: International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting, Leipzig, Germany, 2012 / Seppelt, R., Voinov, A., Lange, S., Bankamp, D. (ed./s), pp.301-308
Publisher: International Environmental Modelling and Software Society
Issue Date: 2012
ISBN: 9788890357428
Conference Name: 2012 6th International Congress on Environmental Modelling and Software (1 Jul 2012 - 5 Jul 2012 : Leipzig, Germany)
Editor: Seppelt, R.
Voinov, A.
Lange, S.
Bankamp, D.
Statement of
Matthew R. Hipsey, David P. Hamilton, Paul C. Hanson, Justin D. Brookes, Dennis Trolle, Louise C. Bruce
Abstract: Quantitative assessments of aquatic ecosystem dynamics and services are required to guide decision support activities and assess how socioeconomic scenarios of human development impact our aquatic environment. However, we are poorly equipped to predict across a broad range of scales the physical, biogeochemical and ecological interactions that control carbon and nutrient flux pathways, despite a plethora of models and model approaches that have emerged. Our models have languished due to ambiguities and lack of agreement in model conceptualisations, a focus on point-scale rather than system-scale validation, and a general inability to deal with uncertainty, particularly in spatially-resolved interdisciplinary models. Further, the site-specific and highly disciplinary nature of many model applications limits synthesis and transferability of knowledge between sites. Here we outline a blueprint for an integrative approach to address these barriers by facilitating: i) the integration of inter-disciplinary modelling approaches, ii) reducing uncertainty through a multi-scale validation approach and managed assimilation of environmental sensing data, and iii) cross-domain synthesis.
Keywords: biogeochemical model
data assimilation
aquatic systems
Rights: Copyright status unknown
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Appears in Collections:Aurora harvest 7
Ecology, Evolution and Landscape Science publications

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