Towards an integrated hydro-chemical understanding of phosphorus transport from headwater agro-ecosystems

对水源农业生态系统磷迁移的综合水化学理解

• 批准号: RGPIN-2017-05838
• 负责人: Wellen, Christopher
• 金额: $ 1.97万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=755168
• 关键词: Towards; integrated; hydro; chemical; understanding

Agricultural intensification is necessary to meet the food demands of the growing world population and economy. However, food production can cause water quality impairments through loss of nutrients, including phosphorus. Indeed, excessive algal growth caused by excessive phosphorus inputs are the primary water quality impairment in freshwater ecosystems around the world and around Canada. Watershed models are often used to understand the factors that control the loss of phosphorus in agroecosystems and to predict how long it will take for reduced nutrient inputs to translate into reduced nutrient outputs and water quality benefits. However, watershed models have been criticized for their simplistic representation of hydrology, which may strongly affect the lag time required to realize nutrient outputs. The ability of catchment water quality models to represent processes in cold regions has also been questioned. The focus of the proposed work is to understand how agricultural headwaters function to transport water and phosphorus in cold regions. Using watershed models designed specifically for cold regions as well as environmental tracers, I will quantify the lag times to realize improvements in stream water quality at the headwaters after changes to phosphorus inputs are made. These estimates are essential to crafting policy that can protect the environment while allowing the agricultural sector of the economy to grow, while integrating environmental tracers will ensure that the model estimates of lag times are robust.

农业集约化是满足日益增长的世界人口和经济的粮食需求所必需的。然而，粮食生产可能会通过包括磷在内的营养物质的损失造成水质损害。事实上，过量的磷输入引起的藻类过度生长是世界各地和加拿大淡水生态系统的主要水质损害。流域模型通常用于了解控制农业生态系统中磷损失的因素，并预测减少的营养投入转化为减少的营养输出和水质效益需要多长时间。然而，流域模型已被批评为他们的简单表示水文，这可能会强烈影响所需的滞后时间，实现养分输出。汇水水质模型代表寒冷地区过程的能力也受到质疑。拟议工作的重点是了解农业水源如何在寒冷地区运输水和磷。使用专门为寒冷地区设计的流域模型以及环境示踪剂，我将量化的滞后时间，以实现在源头的河流水质的改善后，磷投入的变化。这些估计对于制定能够保护环境的政策至关重要，同时允许经济中的农业部门增长，同时整合环境示踪剂将确保模型对滞后时间的估计是稳健的。