A new approach to modeling the sediment retention service (InVEST 3.0): Case study of the Cape Fear catchment, North Carolina, USA

166–177

Sonderdruck

202905

Science of the total environment : an international journal for scientific research into the environment and its relationship with man ; Jrg. 524-525 (2017) , 166–177

Highlights: A new sediment model was developed for the ecosystem services software tool ‘InVEST’, The model allows spatially-explicit assessment of the sediment retention service; Uncertainty assessment was performed in the Cape Fear basin, North Carolina; Local knowledge on sediment dynamics increases confidence in total sediment exports
There is a growing call for ecosystem services models that are both simple and scientifically credible, in order to serve public and private sector decision-making processes. Sediment retention receives particular interest given the impact of this service on water quality. We developed a new version of the sediment retention model for the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) tool to address previous limitations and facilitate model uncertainty assessment. We tested the model in the Cape Fear basin, North Carolina (NC), performing sensitivity analyses and assessing its ability to detect the spatial variability in sediment retention service for eight subcatchments. The main advantages of the revised model include the use of spatially-explicit, globally available input data, and the explicit consideration of hydrological connectivity in the landscape. The sensitivity analyses in the study catchment identified the erosivity and erodibility factors, together with the cover factor for agricultural land as the most influential parameter for sediment export. Relative predictions, representing the spatial variability in sediment exports, were correctly represented by the model. Absolute sediment exports were also highly correlated with observations, although their interpretation for socio-economic assessments is more uncertain without local knowledge of the dominant erosion processes.
Keywords: Sediment retention; Ecosystem services; Spatially-explicit model; InVEST; Sensitivity analysis
Schlüsselwörter: Sedimentspeicherung; Ökosystem-Dienstleistungen; Räumlich explizites Modell