2020
DOI: 10.1016/j.scitotenv.2020.141260
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An innovative bivariate approach to detect joint temporal trends in environmental conditions: Application to large French rivers and diadromous fish

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Cited by 18 publications
(19 citation statements)
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“…Stream warming affects cold-water fish populations negatively at the warmer boundaries of their habitat (Hari et al, 2006). Furthermore, changes in spawning and migration timing (McCann et al, 2018;Arevalo et al, 2020), decreases in habitat availability and freshwater quality for organisms (Lennox et al, 2019), and shifts in species distribution (Comte et al, 2013) are already observed consequences of the long-term increase in Tw. Some major changes in fish density and community structure has already been reported in large rivers over France (Maire et al, 2019) for which we also found greater trends in Tw compared to small ones.…”
Section: Implications For River Management and Aquatic Biotamentioning
confidence: 99%
“…Stream warming affects cold-water fish populations negatively at the warmer boundaries of their habitat (Hari et al, 2006). Furthermore, changes in spawning and migration timing (McCann et al, 2018;Arevalo et al, 2020), decreases in habitat availability and freshwater quality for organisms (Lennox et al, 2019), and shifts in species distribution (Comte et al, 2013) are already observed consequences of the long-term increase in Tw. Some major changes in fish density and community structure has already been reported in large rivers over France (Maire et al, 2019) for which we also found greater trends in Tw compared to small ones.…”
Section: Implications For River Management and Aquatic Biotamentioning
confidence: 99%
“…for cold-water biota, Arismendi et al, 2013b) and the completion of their life cycle (e.g. for diadromous fish, Arevalo et al, 2020). Hence, from an ecological perspective, it will be critical to understand and deconvolve the joint influences of changing T w and Q regimes.…”
Section: Introductionmentioning
confidence: 99%
“…Changes in the occurrence of water temperature and discharge associations were quantified using the Choc method [ 40 ], which identifies the water temperature and discharge associations that have become significantly more or less frequent over time. To facilitate the comparisons among rivers and seasons, we transformed these time series using their empirical cumulative distribution functions (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…The Choc method involves the successive use of kernel density estimates and Mann–Kendall trend tests (see [ 40 ] for a full description of the method). Briefly, kernel density estimates are used to quantify the frequency of occurrence of any associations of water temperature and discharge for each year.…”
Section: Methodsmentioning
confidence: 99%
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