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An Integrated Modeling Framework Forecasting Ecosystem Services: Application to the Albemarle Pamlico Basins, NC and VA (USA)
Citation:
Johnston, JohnM, M. Barber, J. Babendreier, G. Laniak, AND D. Mcgarvey. An Integrated Modeling Framework Forecasting Ecosystem Services: Application to the Albemarle Pamlico Basins, NC and VA (USA). Presented at Steering Committee for Multimedia Modeling Annual Meeting, Reston, VA, November 07 - 09, 2012.
Impact/Purpose:
Presentation given at the Interagency Steering Committee for Multimedia Modeling Annual Meeting.
Description:
We demonstrate an Integrated Modeling Framework that predicts the state of freshwater ecosystem services within the Albemarle-Pamlico Basins. The Framework consists of three facilitating technologies: Data for Environmental Modeling (D4EM) that automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems (FRAMES) that manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation (SuperMUSE) that provides post-processing and analysis of model outputs, including uncertainty and sensitivity analysis. Five models are link within the Framework to provide multimedia simulation capabilities for the current study: the Soil Water Assessment Tool (SWAT) predicts surface water runoff; the Watershed Mercury Model (WMM) models mercury runoff and loading to streams; the Water quality Analysis and Simulation Program (WASP) predicts water quality within the stream channel; Habitat Suitability Index (HSI) models physicochemical habitat quality for individual fish species; and the Bioaccumulation and Aquatic System Simulator (BASS) predicts fish growth and production, as well as bioaccumulation of toxic substances (e.g., mercury). Using this Framework, we present a baseline assessment of three freshwater ecosystem services – water quantity, water quality, and fisheries resources – in headwater streams throughout the Albemarle-Pamlico. We selected a stratified random sample of headwater streams representative of the population of headwater streams.
