Influences of the landscape pattern on riverine nitrogen exports derived from legacy sources in subtropical agricultural catchments

Meng, Cen; Liu, Huanyao; Li, Yuyuan; Wang, Yi; Li, Xi; Shen, Jianlin; Fan, Xiang; Li, Yong; Wu, Jinshui

doi:10.1007/s10533-020-00744-w

Cited by 11 publications

(2 citation statements)

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“…35,42 In these cases, highly complex process-based watershed models may not be needed. Monitored data and an empirical model, such as a net anthropogenic nitrogen inputs-based model, a simple mass balance approach for estimating human-generated N inputs to watersheds, with the addition of a lagged N delay component, 43,44 could be appropriate.…”

Section: Environmentalmentioning

confidence: 99%

“…For example, small watersheds (e.g., <15 km 2 ) with limited soil and groundwater storage capacities respond more rapidly to landscape-scale changes, such as conservation practices, than those with greater N and water storage volumes. , In these cases, highly complex process-based watershed models may not be needed. Monitored data and an empirical model, such as a net anthropogenic nitrogen inputs-based model, a simple mass balance approach for estimating human-generated N inputs to watersheds, with the addition of a lagged N delay component, , could be appropriate.…”

Section: Practices For Improving Legacy N Modelingmentioning

confidence: 99%

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Advancing Watershed Legacy Nitrogen Modeling to Improve Global Water Quality

Golden

Evenson

Christensen

et al. 2023

Environ. Sci. Technol.

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Despite widespread implementation of watershed nitrogen reduction programs across the globe, nitrogen levels in many surface waters remain high. Watershed legacy nitrogen storage, i.e., the long-term retention of nitrogen in soils and groundwater, is one of several explanations for this lack of progress. However scientists and water managers are ill-equipped to estimate how legacy nitrogen moderates in-stream nitrogen responses to land conservation practices, largely because modeling tools and associated long-term monitoring approaches to answering these questions remain inadequate. We demonstrate the need for improved watershed models to simulate legacy nitrogen processes and offer modeling solutions to support long-term nitrogen-based sustainable land management across the globe.

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