2021
DOI: 10.1016/j.scitotenv.2020.142081
|View full text |Cite
|
Sign up to set email alerts
|

The interplay of flow processes shapes aquatic invertebrate successions in floodplain channels - A modelling applied to restoration scenarios

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 10 publications
(14 citation statements)
references
References 92 publications
1
13
0
Order By: Relevance
“…Across the braided floodplain, species composition was associated primarily with shear stress-related connections. This corroborates findings on the Danube River, where hydrological connectivity was the main determinant explaining the distribution of aquatic invertebrates (Reckendorfer et al, 2005;Tockner et al, 1998) and supports the notion that most aquatic invertebrate taxa exhibit a preference for a specific degree of surface connectivity (Arscott et al, 2003;Castella et al, 1991;Marle et al, 2021). The variation in species turnover with increasing shear stress-related connections implies that species turnover is a continuous process related to a continuous variation between floodplain habitats across the lateral dimension of the floodplain (Amoros & Roux, 1988;Bornette et al, 1998;Van den Brink et al, 1996;Ward, 1998).…”
Section: How Is the Diversity Of Invertebrate Assemblages Influenced ...supporting
confidence: 88%
See 2 more Smart Citations
“…Across the braided floodplain, species composition was associated primarily with shear stress-related connections. This corroborates findings on the Danube River, where hydrological connectivity was the main determinant explaining the distribution of aquatic invertebrates (Reckendorfer et al, 2005;Tockner et al, 1998) and supports the notion that most aquatic invertebrate taxa exhibit a preference for a specific degree of surface connectivity (Arscott et al, 2003;Castella et al, 1991;Marle et al, 2021). The variation in species turnover with increasing shear stress-related connections implies that species turnover is a continuous process related to a continuous variation between floodplain habitats across the lateral dimension of the floodplain (Amoros & Roux, 1988;Bornette et al, 1998;Van den Brink et al, 1996;Ward, 1998).…”
Section: How Is the Diversity Of Invertebrate Assemblages Influenced ...supporting
confidence: 88%
“…Of these 14 variables (seven periods for overflow and seven periods for backflow), we chose the two that most explained the occurrence of species: the upstream overflow and backflow connection durations calculated over 1 year prior to sampling. Following Marle et al (2021), the flow connections calculated over 1 year had approximately twice as much contribution in predictive models than connections calculated over shorter durations. The duration of overflow connection was split according to the associated bed shear stress (i.e.…”
Section: Environmental Variablesmentioning
confidence: 97%
See 1 more Smart Citation
“…Ponton channel (PONT) is located downstream of the hydroelectric scheme and hydropeaking usually causes daily discharge fluctuations from Monday to Friday (between ~200 and ~500 m 3 s −1 ). Upstream flow connections occur during high floods for less than one day per year for both floodplain channels on average [41]. The two floodplain channels vary in length (1220 m for MOLO and 910 m for PONT) and geographic position (4 km between the two channels).…”
Section: Studied Sitesmentioning
confidence: 99%
“…With the potential to separate the signal from the noise (error), statistical approaches may be better suited to answering well-defined ecological questions. Model-based approaches (e.g., linear regression methods) provide the framework for prediction (i.e., for a unit increase in x there is a change in y) and can be used to quantify a priori expectations of restoration action (e.g., [104]). An algorithm-based approach uses summary statistics (e.g., pairwise measures of dissimilarity) generated from the observed data to look for patterns of association [105].…”
Section: Discussionmentioning
confidence: 99%