Testing habitat-based predictions of community responses to river flow restoration: generic lessons from a data-rich case study
Nicolas Lamouroux
(1)
,
Jean Michel Olivier
(2)
,
Emmanuel Castella
(3)
,
Martin Daufresne
(4)
,
Maxence Forcellini
(5)
,
Hervé Piégay
(6)
,
Jérémie Riquier
(6)
,
Lise Vaudor
(6)
Nicolas Lamouroux
- Fonction : Auteur
- PersonId : 736215
- IdHAL : nicolas-lamouroux
- ORCID : 0000-0002-9184-2558
- IdRef : 127902422
Maxence Forcellini
- Fonction : Auteur
- PersonId : 736142
- IdHAL : maxence-forcellini
- ORCID : 0000-0003-4921-2189
- IdRef : 253118476
Hervé Piégay
- Fonction : Auteur
- PersonId : 4207
- IdHAL : herve-piegay
- ORCID : 0000-0002-3864-2119
- IdRef : 07033174X
Jérémie Riquier
- Fonction : Auteur
- PersonId : 6574
- IdHAL : jeremieriquier
- ORCID : 0000-0002-7008-7960
- IdRef : 191321311
Lise Vaudor
- Fonction : Auteur
- PersonId : 299
- IdHAL : lise-vaudor
- ORCID : 0000-0003-1844-6425
- IdRef : 170544664
Résumé
Testing our ability to predict the ecological effects of flow and habitat restoration is often complicated by the weaknesses of monitoring strategies. In this context, data-rich flow experiments are unique occasions to draw generic lessons concerning the predictive power of habitat-based models and the optimization of monitoring strategies. We provide an overview of such a data-rich restoration case study (hydrological changes in the Rhône River in France) and discuss some general lessons learnt from the project. The restoration started in 1999 and has combined so far minimum flow increases in four reaches (total length 47 km) and the dredging and/or reconnection of 24 floodplain channels. The project concerned many sites and involved quantitative ecological data (hydraulics, temperature, sediment, fish, macroinvertebrates) collected over long periods. Tests of habitat-based predictions indicated that general habitat models, calibrated in independent sites and focused on the main physical drivers, could predict population and community-level changes after restoration. An analysis of statistical power revealed that, even in the data-rich situation of the Rhône, the probability to detect a moderate change (50 - 200%) in a given taxon abundance was typically 15%. These results indicate how to improve feedback from future flow experiments.
Domaines
Etudes de l'environnementFormat du dépôt | Notice |
---|---|
Type de dépôt | Communication dans un congrès |
Résumé |
en
Testing our ability to predict the ecological effects of flow and habitat restoration is often complicated by the weaknesses of monitoring strategies. In this context, data-rich flow experiments are unique occasions to draw generic lessons concerning the predictive power of habitat-based models and the optimization of monitoring strategies. We provide an overview of such a data-rich restoration case study (hydrological changes in the Rhône River in France) and discuss some general lessons learnt from the project. The restoration started in 1999 and has combined so far minimum flow increases in four reaches (total length 47 km) and the dredging and/or reconnection of 24 floodplain channels. The project concerned many sites and involved quantitative ecological data (hydraulics, temperature, sediment, fish, macroinvertebrates) collected over long periods. Tests of habitat-based predictions indicated that general habitat models, calibrated in independent sites and focused on the main physical drivers, could predict population and community-level changes after restoration. An analysis of statistical power revealed that, even in the data-rich situation of the Rhône, the probability to detect a moderate change (50 - 200%) in a given taxon abundance was typically 15%. These results indicate how to improve feedback from future flow experiments.
|
Titre |
en
Testing habitat-based predictions of community responses to river flow restoration: generic lessons from a data-rich case study
|
Auteur(s) |
Nicolas Lamouroux
1
, Jean Michel Olivier
2
, Emmanuel Castella
3
, Martin Daufresne
4
, Maxence Forcellini
5
, Hervé Piégay
6
, Jérémie Riquier
6
, Lise Vaudor
6
1
UR MALY -
Milieux aquatiques, écologie et pollutions
( 182258 )
- 5 rue de la Doua - BP 32108, F-69616 Villeurbanne Cedex
- France
2
EHF -
Laboratoire d'Ecologie des Hydrosystèmes Fluviaux
( 551 )
- bat. Darwin C/F.A. FOREL 43 Bvd du 11 Novembre 1918 69622 VILLEURBANNE CEDEX
- France
3
Laboratory of Ecology and Aquatic Biolgy
( 243879 )
- 70, route de Drize, Carouge, 1227
- Suisse
4
UR HYAX -
Hydrobiologie
( 179707 )
- 3275 route Cézanne - Le Tholonet, F-13612 Aix-en-Provence
- France
5
BEL -
Équipe 1 - Biodiversité des Écosystèmes Lotiques
( 1002321 )
- France
6
EVS -
Environnement, Ville, Société
( 145345 )
- 18 Rue Chevreul
69362 LYON CEDEX 07
UMR 5600
- France
|
Ville |
Melbourne
|
Pays |
Australie
|
Titre du congrès |
11th International Symposium on Ecohydraulics
|
Date fin congrès |
2016-02-12
|
Date début congrès |
2016-02-07
|
Langue du document |
Anglais
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Invité |
Oui
|
Audience |
Internationale
|
Actes |
Non
|
Projet(s) ANR |
|
Domaine(s) |
|
Mots-clés |
en
quantitative predictions, physical habitat, floodplain connectivity, minimum flow
fr
LabEx DRIIHM, Observatoires Hommes-Millieux, OHM Vallee du Rhone
|
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