Catchment legacies and time lags: A parsimonious watershed model to predict the effects of legacy storage on nitrogen export

dc.contributor.authorVan Meter, Kimberly J.
dc.contributor.authorBasu, Nandita B.
dc.date.accessioned2026-06-02T19:17:34Z
dc.date.available2026-06-02T19:17:34Z
dc.date.issued2015-05-18
dc.description© 2015 Van Meter, Basu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
dc.description.abstractNutrient legacies in anthropogenic landscapes, accumulated over decades of fertilizer application, lead to time lags between implementation of conservation measures and improvements in water quality. Quantification of such time lags has remained difficult, however, due to an incomplete understanding of controls on nutrient depletion trajectories after changes in land-use or management practices. In this study, we have developed a parsimonious watershed model for quantifying catchment-scale time lags based on both soil nutrient accumulations (biogeochemical legacy) and groundwater travel time distributions (hydrologic legacy). The model accurately predicted the time lags observed in an Iowa watershed that had undergone a 41% conversion of area from row crop to native prairie. We explored the time scales of change for stream nutrient concentrations as a function of both natural and anthropogenic controls, from topography to spatial patterns of land-use change. Our results demonstrate that the existence of biogeochemical nutrient legacies increases time lags beyond those due to hydrologic legacy alone. In addition, we show that the maximum concentration reduction benefits vary according to the spatial pattern of intervention, with preferential conversion of land parcels having the shortest catchment-scale travel times providing proportionally greater concentration reductions as well as faster response times. In contrast, a random pattern of conversion results in a 1:1 relationship between percent land conversion and percent concentration reduction, irrespective of denitrification rates within the landscape. Our modeling framework allows for the quantification of tradeoffs between costs associated with implementation of conservation measures and the time needed to see the desired concentration reductions, making it of great value to decision makers regarding optimal implementation of watershed conservation measures.
dc.description.sponsorshipNatural Science Foundation Coupled Natural and Human Systems program, grant number 1114978 || National Sciences and Engineering Research Council (NSERC) Strategic Grant, "Canada's Nitrogen Legacy: Combining Modeling and Isotope Approaches for Drinking Water Quality and Aquatic Ecosystem Health of Rivers."
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0125971
dc.identifier.urihttps://hdl.handle.net/10012/23519
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 10(5); e0125971
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectland use
dc.subjectbiogeochemistry
dc.subjectnitrates
dc.subjectdenitrification
dc.subjectwatersheds
dc.subjectagricultural soil science
dc.subjectfertilizers
dc.subjectwater quality
dc.titleCatchment legacies and time lags: A parsimonious watershed model to predict the effects of legacy storage on nitrogen export
dc.typeArticle
dcterms.bibliographicCitationVan Meter KJ, Basu NB (2015) Catchment Legacies and Time Lags: A Parsimonious Watershed Model to Predict the Effects of Legacy Storage on Nitrogen Export. PLoS ONE 10(5): e0125971. https://doi.org/10.1371/journal.pone.0125971
uws.contributor.affiliation1Faculty of Environment
uws.contributor.affiliation1Faculty of Engineering
uws.contributor.affiliation2Earth and Environmental Sciences
uws.contributor.affiliation2Civil and Environmental Engineering
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
file - 2026-06-02T150117.473.pdf
Size:
2.3 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
4.47 KB
Format:
Item-specific license agreed upon to submission
Description: