Spatial Persistence of Water Chemistry Patterns Across Flow Conditions in a Mesoscale Agricultural Catchment

Gu, Sen; Casquin, Antoine; Dupas, Rémi; Abbott, Benjamin W.; Petitjean, Patrice; Durand, Patrick; Gruau, Gérard

doi:10.1029/2020wr029053

Cited by 9 publications

(10 citation statements)

References 86 publications

(162 reference statements)

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“…LongIndex values were equally distributed on both sides of the y = 1 line, indicating no general trend in the distribution of arable land in the longitudinal dimension, but a high variability in situations, especially in the smaller catchments. This confirms observations made in other studies (e.g., Bishop et al, 2008; Bol et al, 2018; Gu et al, 2021) that studying small headwaters is key to increasing the variability in catchment conditions when statistically analysing water‐quality and catchment attributes such as landscape indices. For this reason, we limited the analysis of correlations between water‐quality metrics and landscape indices to sub‐catchments smaller than 50 km 2 , leaving 148 of the 221 catchments for subsequent analyses.…”

Section: Resultssupporting

confidence: 89%

“…This confirms observations made in other studies (e.g., Bishop et al, 2008;Bol et al, 2018;Gu et al, 2021) that studying small headwaters is key to increasing the variability in catchment conditions when statistically analysing water-quality and catchment attributes such as landscape indices. For this reason, we limited the analysis of correlations between water-quality metrics and landscape indices to sub-catchments smaller than 50 km 2 , leaving 148 of the 221 catchments for subsequent analyses.…”

Section: Gis Processingsupporting

confidence: 90%

“…Flow‐weighted mean concentrations had a higher variability in smaller catchments than in larger ones (Figure 1). Previous studies have identified the same spatial trend in Brittany (Abbott, Gruau, et al, 2018; Gu et al, 2021) as well as elsewhere (e.g., Shogren et al, 2019). This could be because smaller catchments may capture the extreme conditions in the study area (related to nutrient source inputs, retention potential or landscape spatial arrangement), while larger catchments tend to be more representative of average conditions in the region.…”

Section: Resultsmentioning

confidence: 54%

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Landscape spatial configuration influences phosphorus but not nitrate concentrations in agricultural headwater catchments

Dupas

Casquin

Durand

et al. 2023

Hydrological Processes

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Landscape organized (or structured) heterogeneity influences hydrological and biogeochemical patterns across space and time. We developed landscape indices that describe the spatial configuration of nutrient sources and sinks as a function of their hydrological distance to the stream (lateral dimension) or to the outlet (longitudinal dimension) and their intersection with flow-accumulation areas. Using monthly nitrate, total phosphorus (TP), soluble reactive phosphorus (SRP) and daily discharge (Q) data from 221 rural catchments (1-300 km 2 ) from 2010-2020, we observed higher variability in flow-weighted mean concentrations in smaller catchments than in larger ones. The variability in landscape configurations also decreased with increasing catchment size. A landscape configuration index, calculated as mean arable land use weighted by spatial data on hydrological distance and flow accumulation, improved prediction of TP and SRP, but not nitrate, compared to the unweighted mean arable land use. We conclude that landscape configuration influences phosphorus transfer more than nitrate transfer, and that flow-accumulation zones and riparian areas are critical source areas for TP and SRP, respectively. By contrast, landscape spatial configuration in the lateral (upslope-downslope) and longitudinal (upstreamdownstream) dimensions did not have an identifiable influence on nutrients temporal dynamics. The indices developed in this study can help design landscapes that minimize diffuse phosphorus losses to streams and show that landscape management is not a first order control for nitrate losses.

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Section: Resultssupporting

confidence: 89%

Section: Gis Processingsupporting

confidence: 90%

Section: Resultsmentioning

confidence: 54%

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Landscape spatial configuration influences phosphorus but not nitrate concentrations in agricultural headwater catchments

Dupas

Casquin

Durand

et al. 2023

Hydrological Processes

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“…Long‐term residence times of subsurface solute masses drive the temporal persistence observed in baseflow chemistry patterns, for example, chloride in the urban critical zone (Mazumder et al., 2021) or nitrogen from agricultural land use (Van Meter et al., 2017). The persistence of stream chemistry patterns has been recognized in recent literature (Frei et al., 2021; Gu et al., 2021) but that persistence has not been directly tied to an array of specific solute sources. Of particular note in the urban critical zone is that the spatial distribution of sources differs among solutes.…”

Section: Discussionmentioning

confidence: 99%

“…Synoptic stream sampling can be used to characterize spatial solute patterns along a stream length at a snapshot in time, which can complement temporal stream water chemistry measured at fixed locations. Recent work has highlighted that data from synoptic (longitudinal) stream sampling can yield insights into watershed processes and solute sources (Abbott et al, 2018;Dupas et al, 2019;Floriancic et al, 2019;Frei et al, 2021;Gu et al, 2021;Lee-Cullin et al, 2018;McGuire et al, 2014;Pardo et al, 2022;Rhea et al, 2022;Sonne et al, 2017). For example, Pardo et al (2022) used synoptic sampling to demonstrate the connection of nitrification hot spots in upland soils to the stream strongly influenced stormwater nitrate dynamics.…”

mentioning

confidence: 99%

Spatial Heterogeneity and Temporal Stability of Baseflow Stream Chemistry in an Urban Watershed

Welty

Moore

Bain

et al. 2022

Water Resources Research

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Urbanization fundamentally alters the critical zone, which is the region from the bottom of the aquifer to the top of the tree canopy that sustains ecosystems and humans. In urban areas, the critical zone is modified by the presence of utility pipes, soil compaction, vegetation removal, and chemicals introduced by human activi ties. A consequence is that urban stream biogeochemistry is characterized by elevated solute concentrations and loads, symptomatic of the "urban stream syndrome" (Walsh et al., 2005). Elevated solute concentrations degrade freshwater ecosystems (

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The influence of climate on water chemistry states and dynamics in rivers across Australia

Lintern

Liu

Minaudo

et al. 2021

Hydrological Processes

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For effective water quality management and policy development, spatial variability in the mean concentrations and dynamics of riverine water quality needs to be understood. Using water chemistry (calcium, electrical conductivity, nitrate‐nitrite, soluble reactive phosphorus, total nitrogen, total phosphorus and total suspended solids) data for up to 578 locations across the Australian continent, we assessed the impact of climate zones (arid, Mediterranean, temperate, subtropical, tropical) on (i) inter‐annual mean concentration and (ii) water chemistry dynamics as represented by constituent export regimes (ratio of the coefficients of variation of concentration and discharge) and export patterns (slope of the concentration‐discharge relationship). We found that inter‐annual mean concentrations vary significantly by climate zones and that spatial variability in water chemistry generally exceeds temporal variability. However, export regimes and patterns are generally consistent across climate zones. This suggests that intrinsic properties of individual constituents rather than catchment properties determine export regimes and patterns. The spatially consistent water chemistry dynamics highlights the potential to predict riverine water quality across the Australian continent, which can support national riverine water quality management and policy development.

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Spatial Persistence of Water Chemistry Patterns Across Flow Conditions in a Mesoscale Agricultural Catchment

Cited by 9 publications

References 86 publications

Landscape spatial configuration influences phosphorus but not nitrate concentrations in agricultural headwater catchments

Landscape spatial configuration influences phosphorus but not nitrate concentrations in agricultural headwater catchments

Spatial Heterogeneity and Temporal Stability of Baseflow Stream Chemistry in an Urban Watershed

The influence of climate on water chemistry states and dynamics in rivers across Australia

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