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NutSpaFHy - A Distributed Nutrient Balance Model to Predict Nutrient Export from Managed Boreal Headwater Catchments (Laurén et al., 2021 Forests)

Model source code (Python 3.7)

Abstract

Responsible forest management requires accounting for adverse environmental effects, such as increased nutrient export to water courses. We constructed a spatially-distributed nutrient balance model NutSpaFHy that extends the hydrological model SpaFHy by introducing a grid-based nutrient balance sub-model and a conceptual solute transport routine to approximate total nitrogen (N) and phosphorus (P) export to streams. NutSpaFHy uses openly-available Multi-Source National Forest Inventory data, soil maps, topographic databases, location of water bodies, and meteorological variables as input, and computes nutrient processes in monthly time-steps. NutSpaFHy contains two calibrated parameters both for N and P, which were optimized against measured N and P concentrations in runoff from twelve forested catchments distributed across Finland. NutSpaFHy was independently tested against six catchments. The model produced realistic nutrient exports. For one catchment, we simulated 25 scenarios, where clear-cuts were located differently with respect to distance to water body, location on mineral or peat soil, and on sites with different fertility. Results indicate that NutSpaFHy can be used to identify current and future nutrient export hot spots, allowing comparison of logging scenarios with variable harvesting area, location and harvest techniques, and to identify acceptable scenarios that preserve the wood supply whilst maintaining acceptable level of nutrient export.

Keywords: nutrient loads; forest management; boreal forest; land-use; open data; hydrological modeling; environmental impacts; forest planning; water quality

Reference

Lauren, A., Guan, M., Salmivaara, A., Leinonen, A., Palviainen, M., Launiainen, S. NutSpaFHy — A Distributed Nutrient Balance Model to Predict Nutrient Export from Managed Boreal Headwater Catchments. Forests 2021, 12, 808. https://doi.org/10.3390/f12060808

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Distributed nutrient balance model for estimating N and P export from forested catchments to water courses

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  • Python 73.3%
  • OpenEdge ABL 26.7%