@article{Costa-2019-Temporal,
title = "Temporal Dynamics of Snowmelt Nutrient Release from Snow{--}Plant Residue Mixtures: An Experimental Analysis and Mathematical Model Development",
author = "Costa, Diogo and
Liu, Jian and
Roste, Jennifer and
Elliott, J. M.",
journal = "Journal of Environmental Quality, Volume 48, Issue 4",
volume = "48",
number = "4",
year = "2019",
publisher = "Wiley",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G19-36002",
doi = "10.2134/jeq2018.12.0440",
pages = "869--879",
abstract = "Reducing eutrophication in surface water is a major environmental challenge in many countries around the world. In cold Canadian prairie agricultural regions, part of the eutrophication challenge arises during spring snowmelt when a significant portion of the total annual nutrient export occurs, and plant residues can act as a nutrient source instead of a sink. Although the total mass of nutrients released from various crop residues has been studied before, little research has been conducted to capture fine-timescale temporal dynamics of nutrient leaching from plant residues, and the processes have not been represented in water quality models. In this study, we measured the dynamics of P and N release from a cold-hardy perennial plant species, alfalfa ( L.), to meltwater after freeze-thaw through a controlled snowmelt experiment. Various winter conditions were simulated by exposing alfalfa residues to different numbers of freeze-thaw cycles (FTCs) of uniform magnitude prior to snowmelt. The monitored P and N dynamics showed that most nutrients were released during the initial stages of snowmelt (first 5 h) and that the magnitude of nutrient release was affected by the number of FTCs. A threshold of five FTCs was identified for a greater nutrient release, with plant residue contributing between 0.29 (NO) and 9 (PO) times more nutrients than snow. The monitored temporal dynamics of nutrient release were used to develop the first process-based predictive model controlled by three potentially measurable parameters that can be integrated into catchment water quality models to improve nutrient transport simulations during snowmelt.",
}
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<abstract>Reducing eutrophication in surface water is a major environmental challenge in many countries around the world. In cold Canadian prairie agricultural regions, part of the eutrophication challenge arises during spring snowmelt when a significant portion of the total annual nutrient export occurs, and plant residues can act as a nutrient source instead of a sink. Although the total mass of nutrients released from various crop residues has been studied before, little research has been conducted to capture fine-timescale temporal dynamics of nutrient leaching from plant residues, and the processes have not been represented in water quality models. In this study, we measured the dynamics of P and N release from a cold-hardy perennial plant species, alfalfa ( L.), to meltwater after freeze-thaw through a controlled snowmelt experiment. Various winter conditions were simulated by exposing alfalfa residues to different numbers of freeze-thaw cycles (FTCs) of uniform magnitude prior to snowmelt. The monitored P and N dynamics showed that most nutrients were released during the initial stages of snowmelt (first 5 h) and that the magnitude of nutrient release was affected by the number of FTCs. A threshold of five FTCs was identified for a greater nutrient release, with plant residue contributing between 0.29 (NO) and 9 (PO) times more nutrients than snow. The monitored temporal dynamics of nutrient release were used to develop the first process-based predictive model controlled by three potentially measurable parameters that can be integrated into catchment water quality models to improve nutrient transport simulations during snowmelt.</abstract>
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%0 Journal Article
%T Temporal Dynamics of Snowmelt Nutrient Release from Snow–Plant Residue Mixtures: An Experimental Analysis and Mathematical Model Development
%A Costa, Diogo
%A Liu, Jian
%A Roste, Jennifer
%A Elliott, J. M.
%J Journal of Environmental Quality, Volume 48, Issue 4
%D 2019
%V 48
%N 4
%I Wiley
%F Costa-2019-Temporal
%X Reducing eutrophication in surface water is a major environmental challenge in many countries around the world. In cold Canadian prairie agricultural regions, part of the eutrophication challenge arises during spring snowmelt when a significant portion of the total annual nutrient export occurs, and plant residues can act as a nutrient source instead of a sink. Although the total mass of nutrients released from various crop residues has been studied before, little research has been conducted to capture fine-timescale temporal dynamics of nutrient leaching from plant residues, and the processes have not been represented in water quality models. In this study, we measured the dynamics of P and N release from a cold-hardy perennial plant species, alfalfa ( L.), to meltwater after freeze-thaw through a controlled snowmelt experiment. Various winter conditions were simulated by exposing alfalfa residues to different numbers of freeze-thaw cycles (FTCs) of uniform magnitude prior to snowmelt. The monitored P and N dynamics showed that most nutrients were released during the initial stages of snowmelt (first 5 h) and that the magnitude of nutrient release was affected by the number of FTCs. A threshold of five FTCs was identified for a greater nutrient release, with plant residue contributing between 0.29 (NO) and 9 (PO) times more nutrients than snow. The monitored temporal dynamics of nutrient release were used to develop the first process-based predictive model controlled by three potentially measurable parameters that can be integrated into catchment water quality models to improve nutrient transport simulations during snowmelt.
%R 10.2134/jeq2018.12.0440
%U https://gwf-uwaterloo.github.io/gwf-publications/G19-36002
%U https://doi.org/10.2134/jeq2018.12.0440
%P 869-879
Markdown (Informal)
[Temporal Dynamics of Snowmelt Nutrient Release from Snow–Plant Residue Mixtures: An Experimental Analysis and Mathematical Model Development](https://gwf-uwaterloo.github.io/gwf-publications/G19-36002) (Costa et al., GWF 2019)
ACL
- Diogo Costa, Jian Liu, Jennifer Roste, and J. M. Elliott. 2019. Temporal Dynamics of Snowmelt Nutrient Release from Snow–Plant Residue Mixtures: An Experimental Analysis and Mathematical Model Development. Journal of Environmental Quality, Volume 48, Issue 4, 48(4):869–879.
