Controls and forecasts of nitrate yields in forested watersheds: A view over mainland Portugal.
A study on nitrate yields was conducted in forested watersheds of mainland Portugal. The prime goal was to rank parameters in descending order of their contribution to the export of nitrate towards streams and lakes. To attain the goal, variables like soil loss, rainfall intensity, topography, soil type, forest composition and environmental disturbances such as hardwood harvesting or wildfires were organized in a conceptual yield model. Because some parameters were potentially collinear, a robust multivariate statistical technique was selected to execute the conceptual model and perform the aforementioned ranking, namely Partial Least Squares (PLS) regression. This technique was tested with a sample of 60 forested watersheds (>70% of forest occupation), being subject to a double-validation process to ensure prediction capability. According to final regression coefficients, soil erosion seems to regulate nitrate distribution across the basins, because soil loss and type, rainfall intensity and topography explained around 60% of nitrate yield variance. The major importance of erosion is followed by a moderate role of biochemical processes such as nitrification or nutrient uptake, which accounted for approximately 15% of nitrate yield variance. In this case, deciduous forests and scrubland seem to behave as net sinks of nitrate while coniferous and mixed forests seem to act dually, as net sources or sinks. The least important parameters are the environmental disturbances, explaining no more than 5% of nitrate yield variance. The results of PLS regression were coupled in a scenario analysis with measures designed to protect soil from erosion and surface water from eutrophication. These interventions are to be implemented until 2045, according to regional plans of forest management. Considering the key role of erosion in explaining nitrate dynamics across the catchments, it was not surprising to verify that soil protection measures may reduce nitrate yields by some 35% of their current values.
Chemistry Research Centre, Vila Real, Portugal; Department of Geology, University of Trás-os-Montes and Alto Douro (UTAD), Ap. 1013, 5001-801 Vila Real, Portugal. Electronic address: fpacheco@utad.pt.
F A L
FA
Pacheco
Centre for the Research and Technology of Agro-Environment and Biological Sciences, Vila Real, Portugal.
R M B
RM
Santos
Centre for the Research and Technology of Agro-Environment and Biological Sciences, Vila Real, Portugal; Department of Engineering, UTAD, Portugal.
L F
LF
Sanches Fernandes
Centre for the Research and Technology of Agro-Environment and Biological Sciences, Vila Real, Portugal; Dom Luiz Institute, University of Lisbon, Campo Grande, 1749-016 Lisbon, Portugal; Department of Physics, UTAD, Portugal.
M G
MG
Pereira
Centre for the Research and Technology of Agro-Environment and Biological Sciences, Vila Real, Portugal; Department of Forestry Sciences and Landscape Architecture, UTAD, Portugal.
R M V
RM
Cortes
D004784:Environmental Monitoring; D065928:Forests; D009566:Nitrates / Q000032:analysis*; D058465:Nitrification; D011174:Portugal; D014873:Water Pollutants / Q000032:analysis*
D009566:Nitrates; D014873:Water Pollutants
Anthropogenic pressure; Forested watershed; Nitrate yield; Partial Least Squares regression; Soil erosion; Sustainability scenario