Robert Barneveld

Research Scientist

(+47) 968 51 427
robert.barneveld@nibio.no

Place
Ås O43

Visiting address
Oluf Thesens vei 43, 1433 Ås

Abstract

Reducing diffuse nutrient losses to water bodies remains a major problem in the agricultural areas of the Nordic countries. The transition towards a bioeconomy and ongoing climate change raise questions on the future of water quality and freshwater ecosystems and what kind of adaptation strategies could be implemented to maintain both food and environmental safety. The objective of our study was to evaluate the effectiveness of Natural Soil Water Retention Measures (NSWRMs) under current and future climate conditions in retaining water, soil particles and nutrients within the landscape. The hydro-biochemical model SWAT+ was implemented in the Krakstad catchment in southern Norway using the novel approach developed within the EU H2020 project OPTAIN. This approach enables an improved spatial representation of NSWRMs in the landscape. Available discharge and water quality monitoring data were used as reference data for model calibration. The effectiveness of reduced tillage, grassed waterways, sedimentation ponds established in the forested areas and buffers on water retention and nutrient loads was evaluated. Our simulation results indicate that conservation tillage, which maintains stubble on the soil surface during winter, has the strongest impact on reducing soil and nutrient losses towards surface water bodies. Grassed waterways, established in existing erosion prone gullies, could also significantly contribute to water and nutrient retention within the landscape. The implemented NSWRMs did not appear to increase the soil moisture content in early spring even under future climate conditions, which is an important aspect for ensuring soil trafficability and the timing of sowing spring cereals

Abstract

Peat soils have been the subject of human interest for many centuries. Extraction of turf for fuel and drainage for cultivation are centuries old economic activities that have altered the environment of peat-rich landscapes. In Norway, the drainage of peat soils is mainly associated with cultivation and with attempts to facilitate wood production. The purpose of drainage is lowering the water table and thus creating favourable conditions for root development and trafficability. The shift from anaerobic to aerobic conditions causes organic material to decompose; a process that produces CO2. This process can be stopped only by restoring the water table to its original level. Peat restauration is commonly carried out by blocking or filling the open drainage ditches. The effect of restauration on the hydrology of the individual peat bog and the associated landscape is not well understood. It is the domain of contrast: hydrological connectivity is reduced, but the available pore space (for infiltration) is also reduced. The question of how peat restoration affects landscapes' ability to retain overland flow and prevent flooding downstream has yet to explored fully. Since empirical data are hard to come by, process simulation is one of the few viable options for the evaluation of peat restauration. A raster-based rainfall-runoff model is presented that approaches soil water content dynamically but not fully process-explicit. Typical raster cell dimensions are 10m, allowing for daily timesteps and basins of several hundreds of square kilometres. In the runoff phase, water is distributed instantaneously and routed through the landscape from source to river. Processes that were deemed crucial for process representativeness were included by means of simple approximations. These include snow accumulation and melt, groundwater contribution to base flow, tile drainage and lake water levels. Due to the simple, mass balance driven, groundwater level simulations of the model, the effect of restauration on runoff generation and transmissivity can be approximated. Its spatial explicitness allows for the parameterisation of individual peat restoration projects, and for the assessment of their effects at the local and catchment scales. At present, no measurements are available that can confirm or reject all of the model's results. But due to its modular structure, the model's ability to mimic moments in the hydrological cycle can be tested and improved with measurements of a variety of parameters. Due to its spatially explicit nature, the effects of peat restauration of individual bogs or broader strategies can be explored. Not only does the model provide hydrographs at points of interest, it also shows how groundwater levels changes after restauration and how peat bogs affect the wetness of neighbouring areas. The readily available geospatial data in Norway (soil, land use, terrain, etc.) in combination with the computing power of an off-the-shelf laptop computer allow for a process-based approach to landscape scale process simulation.