Spatio-temporal controls of C-N-P dynamics across headwater catchments of a temperate agricultural region from public data analysis
Stella Guillemot
(1)
,
Ophélie Fovet
(1)
,
Chantal Gascuel
(1)
,
Gérard Gruau
(2)
,
Antoine Casquin
(1)
,
Florence Curie
(3)
,
Camille Minaudo
(4)
,
Laurent Strohmenger
(1)
,
Florentina Moatar
(3, 5)
Stella Guillemot
- Fonction : Auteur
- PersonId : 797325
- ORCID : 0000-0001-8557-8319
Ophélie Fovet
- Fonction : Auteur
- PersonId : 740164
- IdHAL : ophelie-fovet
- ORCID : 0000-0003-2359-000X
- IdRef : 160373832
Chantal Gascuel
- Fonction : Auteur
- PersonId : 752006
- IdHAL : chantal-gascuel
- ORCID : 0000-0003-0310-6671
Gérard Gruau
- Fonction : Auteur
- PersonId : 840671
- ORCID : 0000-0003-3455-2738
- IdRef : 071396721
Antoine Casquin
- Fonction : Auteur
- PersonId : 1290793
- IdHAL : antoine-casquin
Florence Curie
- Fonction : Auteur
- PersonId : 175929
- IdHAL : florence-curie
- ORCID : 0000-0001-5931-618X
- IdRef : 115270515
Camille Minaudo
- Fonction : Auteur
- PersonId : 779501
- ORCID : 0000-0003-0979-9595
- IdRef : 192890581
Laurent Strohmenger
- Fonction : Auteur
- PersonId : 1213239
- IdHAL : laurent-strohmenger
- ORCID : 0000-0003-4315-0968
Florentina Moatar
- Fonction : Auteur
- PersonId : 805420
- IdHAL : florentina-moatar
- ORCID : 0000-0002-9251-6420
- IdRef : 152398481
Résumé
Characterizing and understanding spatial variability in water quality for a variety of chemical elements is an issue for present and future water resource management. However, most studies of spatial variability in water quality focus on a single element and rarely consider headwater catchments. Moreover, they assess few catchments and focus on annual means without considering seasonal variations. To overcome these limitations, we studied spatial variability and seasonal variation in dissolved C, N, and P concentrations at the scale of an intensively farmed region of France (Brittany). We analyzed 185 headwater catchments (from 5–179 km2) for which 10-year time series of monthly concentrations and daily stream flow were available from public databases. We calculated interannual loads, concentration percentiles, and seasonal metrics for each element to assess their spatial patterns and correlations. We then performed rank correlation analyses between water quality, human pressures, and soil and climate features. Results show that nitrate (NO3) concentrations increased with increasing agricultural pressures and base flow contribution; dissolved organic carbon (DOC) concentrations decreased with increasing rainfall, base flow contribution, and topography; and soluble reactive phosphorus (SRP) concentrations showed weaker positive correlations with diffuse and point sources, rainfall and topography. An opposite pattern was found between DOC and NO3: spatially, between their median concentrations, and temporally, according to their seasonal cycles. The annual maximum NO3 concentration was in-phase with maximum flow when the base flow index was low, but this synchrony disappeared when flow flashiness was lower. The annual maximum SRP concentration occurred during the low-flow period in nearly all catchments. The approach shows that despite the relatively low frequency of public water quality data, such databases can provide consistent pictures of the spatio-temporal variability of water quality and of its drivers as soon as they contain a large number of catchments to compare and a sufficient length of concentration time series.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
Spatio-temporal controls of C-N-P dynamics across headwater catchments of a temperate agricultural region from public data analysis
|
Résumé |
en
Characterizing and understanding spatial variability in water quality for a variety of chemical elements is an issue for present and future water resource management. However, most studies of spatial variability in water quality focus on a single element and rarely consider headwater catchments. Moreover, they assess few catchments and focus on annual means without considering seasonal variations. To overcome these limitations, we studied spatial variability and seasonal variation in dissolved C, N, and P concentrations at the scale of an intensively farmed region of France (Brittany). We analyzed 185 headwater catchments (from 5–179 km2) for which 10-year time series of monthly concentrations and daily stream flow were available from public databases. We calculated interannual loads, concentration percentiles, and seasonal metrics for each element to assess their spatial patterns and correlations. We then performed rank correlation analyses between water quality, human pressures, and soil and climate features. Results show that nitrate (NO3) concentrations increased with increasing agricultural pressures and base flow contribution; dissolved organic carbon (DOC) concentrations decreased with increasing rainfall, base flow contribution, and topography; and soluble reactive phosphorus (SRP) concentrations showed weaker positive correlations with diffuse and point sources, rainfall and topography. An opposite pattern was found between DOC and NO3: spatially, between their median concentrations, and temporally, according to their seasonal cycles. The annual maximum NO3 concentration was in-phase with maximum flow when the base flow index was low, but this synchrony disappeared when flow flashiness was lower. The annual maximum SRP concentration occurred during the low-flow period in nearly all catchments. The approach shows that despite the relatively low frequency of public water quality data, such databases can provide consistent pictures of the spatio-temporal variability of water quality and of its drivers as soon as they contain a large number of catchments to compare and a sufficient length of concentration time series.
|
Auteur(s) |
Stella Guillemot
1
, Ophélie Fovet
1
, Chantal Gascuel
1
, Gérard Gruau
2
, Antoine Casquin
1
, Florence Curie
3
, Camille Minaudo
4
, Laurent Strohmenger
1
, Florentina Moatar
3, 5
1
SAS -
Sol Agro et hydrosystème Spatialisation
( 1002317 )
- UMR 1069, Sol Agro et Hydrosystème Spatialisation, Batiment 13, INSTITUT AGRO Agrocampus Ouest, 65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX
- France
2
OSUR -
Observatoire des Sciences de l'Univers de Rennes
( 302058 )
- 263 avenue du Général Leclerc - 35042 Rennes cedex
- France
3
GéHCO EA6293 -
GéoHydrosystèmes COntinentaux
( 210715 )
- Faculté des sciences et techniques bâtiment E Parc Grandmont 37200 TOURS
- France
4
EPFL -
Ecole Polytechnique Fédérale de Lausanne
( 302851 )
- CH-1015 Lausanne, Switzerland
- Suisse
5
RiverLy -
RiverLy - Fonctionnement des hydrosystèmes
( 1002498 )
- 5 rue de la Doua - CS 20244 F-69625 Villeurbanne cedex
- France
|
Volume |
25
|
Numéro |
5
|
Page/Identifiant |
2491–2511
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Public visé |
Scientifique
|
Licence |
Paternité
|
Date de publication électronique |
2021-05-18
|
Date de publication |
2021
|
Langue du document |
Anglais
|
Date de production/écriture |
2021
|
Nom de la revue |
|
Audience |
Internationale
|
Référence interne |
|
Financement |
|
Domaine(s) |
|
DOI | 10.5194/hess-25-2491-2021 |
UT key WOS | 000653654700001 |
Origine :
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