Predictive mapping of the natural flow regimes of France

Snelder, Ton H.; Lamouroux, Nicolas; Leathwick, John R.; Pella, Hervé; Sauquet, Éric; Shankar, Ude

doi:10.1016/j.jhydrol.2009.04.011

Cited by 130 publications

(143 citation statements)

References 44 publications

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“…Flowregime classifications serve as spatial frameworks for environmental monitoring, and they simplify water allocation decisions and environmental flow setting (Kennard et al, 2010;Olden et al, 2012;Snelder et al, 2009). Most flow-regime classifications are based on hydrological indices calculated from time series recorded at gauging stations.…”

Section: T H Snelder Et Al: Regionalization Of Patterns Of Flow Inmentioning

confidence: 99%

“…The utility of a flow-regime classification is maximized when class membership can be extrapolated to ungauged locations. In several recent studies, flow time series have been combined with spatial data describing environmental conditions in statistical classifications that were used to predict river flow regimes at ungauged locations (e.g., Kennard et al, 2010;Snelder et al, 2009). To our knowledge, there have been no comparable studies that focused specifically on flow intermittence.…”

Section: T H Snelder Et Al: Regionalization Of Patterns Of Flow Inmentioning

confidence: 99%

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Regionalization of patterns of flow intermittence from gauging station records

Snelder

Datry

Lamouroux

et al. 2013

Hydrol. Earth Syst. Sci.

117

131

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Abstract. Understanding large-scale patterns in flow intermittence is important for effective river management. The duration and frequency of zero-flow periods are associated with the ecological characteristics of rivers and have important implications for water resources management. We used daily flow records from 628 gauging stations on rivers with minimally modified flows distributed throughout France to predict regional patterns of flow intermittence. For each station we calculated two annual times series describing flow intermittence; the frequency of zero-flow periods (consecutive days of zero flow) in each year of record (FREQ; yr −1 ), and the total number of zero-flow days in each year of record (DUR; days). These time series were used to calculate two indices for each station, the mean annual frequency of zero-flow periods (mFREQ; yr −1 ), and the mean duration of zero-flow periods (mDUR; days). Approximately 20 % of stations had recorded at least one zero-flow period in their record. Dissimilarities between pairs of gauges calculated from the annual times series (FREQ and DUR) and geographic distances were weakly correlated, indicating that there was little spatial synchronization of zero flow. A flow-regime classification for the gauging stations discriminated intermittent and perennial stations, and an intermittence classification grouped intermittent stations into three classes based on the values of mFREQ and mDUR. We used random forest (RF) models to relate the flow-regime and intermittence classifications to several environmental characteristics of the gauging station catchments. The RF model of the flow-regime classification had a cross-validated Cohen's kappa of 0.47, indicating fair performance and the intermittence classification had poor performance (cross-validated Cohen's kappa of 0.35). Both classification models identified significant environment-intermittence associations, in particular with regional-scale climate patterns and also catchment area, shape and slope. However, we suggest that the fair-to-poor performance of the classification models is because intermittence is also controlled by processes operating at scales smaller catchments, such as groundwater-table fluctuations and seepage through permeable channels. We suggest that high spatial heterogeneity in these small-scale processes partly explains the low spatial synchronization of zero flows. While 20 % of gauges were classified as intermittent, the flow-regime model predicted 39 % of all river segments to be intermittent, indicating that the gauging station network under-represents intermittent river segments in France. Predictions of regional patterns in flow intermittence provide useful information for applications including environmental flow setting, estimating assimilative capacity for contaminants, designing bio-monitoring programs and making preliminary predictions of the effects of climate change on flow intermittence.

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Section: T H Snelder Et Al: Regionalization Of Patterns Of Flow Inmentioning

confidence: 99%

Section: T H Snelder Et Al: Regionalization Of Patterns Of Flow Inmentioning

confidence: 99%

Regionalization of patterns of flow intermittence from gauging station records

Snelder

Datry

Lamouroux

et al. 2013

Hydrol. Earth Syst. Sci.

117

131

View full text Add to dashboard Cite

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“…Correlation is undesirable in the context of multivariate analysis and the inclusion of redundant variables decreases the apparent contribution of a set of variables because the variance these explain is penalised by the number of variables (i.e. r 2 values were adjusted; Snelder et al 2009). We therefore, used principal component analysis (PCA) based on the correlation matrix of indices to derive parsimonious sets of non-correlated synthetic indices that represented several uncorrelated dimensions of the combined upstream, downstream and segment characteristics of each site.…”

Section: Methodsmentioning

confidence: 99%

Relative influence of local and landscape-scale features on the density and habitat preferences of longfin and shortfin eels

Booker

Graynoth

2013

New Zealand Journal of Marine and Freshwater Research

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The relative structural influence of local-scale versus landscape-scale habitat features on sizeclass matrices of both longfin (Anguilla dieffenbachia) and shortfin (Anguilla australis) eels collected along six different New Zealand rivers (10 river-year combinations) are quantified using variance decomposition. The total explained variation of these species and size-class matrices was related to both local-scale and landscape-scale variables, and some proportion was shared between these two scales. When compared with landscape-scale variables, local-scale physical habitat variables such as water velocity and fish cover explained more about patterns in the size-distribution of longfin eels. The opposite situation was true for shortfin eels whose sizedistribution was more strongly related to landscape-scale variables such as distance from sea and channel slope. These findings suggest that management of river flows is required to ensure flow regimes that maintain availability of suitable local-scale hydraulic conditions, and that biodiversity conservation efforts need to be targeted at protecting a gradient of rivers across New Zealand's river landscape.

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“…De telles classifications (ex. : Snelder et al, 2009) peuvent être utiles pour aborder le problème de gestion et identifier des sites représentatifs sur lesquels la modélisation des impacts sera affinée. Dans notre démarche, nous ne donnons pas de directive particulière pour simplifier le problème à l'échelle des bassins versants, pour deux raisons.…”

Section: éTape 1) Contexte Hydrologique Naturalisé Et Actuel Usagesunclassified

Débits écologiques : la place des modèles d’habitat hydraulique dans une démarche intégrée

Lamouroux¹,

Augeard

Baran³

et al. 2016

Hydroécol. Appl.

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Résumé -Deux types d'approches techniques complémentaires sont utilisées pour guider l'établissement des débits écologiques, à l'échelle des tronçons de cours d'eau (ex. : débits réservés) comme à l'échelle de bassins versants (ex. : débits objectifs d'étiage). Les approches « hydrologiques » visent à quantifier les altérations de multiples caractéristiques du régime hydrologique et reposent sur l'identification (délicate) de relations empiriques entre altérations hydrologiques et biologiques. Les approches « habitat hydraulique », ciblées sur les débits bas à moyens, couplent des modèles hydrauliques et des modèles biologiques pour traduire certaines modifications hydrologiques en modification de qualité de l'habitat hydraulique pour les organismes. Elles ont parfois apporté des prédictions convaincantes des effets biologiques des modifications de débits d'étiage. Ces deux approches techniques ne fournissent pas directement de valeurs de débits écologiques. Nous formalisons ici une démarche technique de définition des débits écologiques, basée sur la comparaison de scé-narios de gestion et une meilleure combinaison des deux approches. La démarche comprend quatre étapes : (1) la description du contexte hydrologique naturalisé et actuel, des usages actuels et des scénarios de gestion envisagés (2) la description du contexte écologique au sens large, (3) l'identification des métriques pertinentes (hydrologiques et/ou habitats et/ou autres) pour décrire les effets des scénarios (modifications des usages, effets sur le milieu) et (4)

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Predictive mapping of the natural flow regimes of France

Cited by 130 publications

References 44 publications

Regionalization of patterns of flow intermittence from gauging station records

Regionalization of patterns of flow intermittence from gauging station records

Relative influence of local and landscape-scale features on the density and habitat preferences of longfin and shortfin eels

Débits écologiques : la place des modèles d’habitat hydraulique dans une démarche intégrée

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