Sensitivity of river fishes to climate change: The role of hydrological stressors on habitat range shifts

Segurado, Pedro; Branco, Paulo; Jauch, Eduardo; Neves, Ramiro; Ferreira, Maria Teresa

doi:10.1016/j.scitotenv.2016.03.188

Cited by 27 publications

(15 citation statements)

References 68 publications

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“…Work with dam managers to optimize reservoir release schedules (Segurado et al) 16 Restore connectivity Maintain connectivity to inlet streams to promote cooling (Griffiths and Schindler 2012) 17 Protect refugial habitats Protect deep pools, headwater streams, and springs (Ries and Perry 1995) 18 Restore aquatic and associated terrestrial habitats…”

Section: Manage Flowsmentioning

confidence: 99%

FiCli, the Fish and Climate Change Database, informs climate adaptation and management for freshwater fishes

et al. 2020

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Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced ways, which creates challenges for practitioners of fish conservation, climate change adaptation, and management. Although climate change is known to affect fish globally, a comprehensive online, public database of how climate change has impacted inland fishes worldwide and adaptation or management practices that may address these impacts does not exist. We conducted an extensive, systematic primary literature review to identify peer-reviewed journal publications describing projected and documented examples of climate change impacts on inland fishes. From this standardized Fish and Climate Change database, FiCli (pronounced fick-lee), researchers and managers can query fish families, species, response types, or geographic locations to obtain summary information on inland fish responses to climate change and recommended management actions. the FiCli database is updatable and provides access to comprehensive published information to inform inland fish conservation and adaptation planning in a changing climate.

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Section: Manage Flowsmentioning

confidence: 99%

FiCli, the Fish and Climate Change Database, informs climate adaptation and management for freshwater fishes

et al. 2020

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“…Major advantages of BRTs are their ability to handle collinearity, nonlinearity, outliers and to automatically identify interactions between explanatory variables (Elith et al, 2008). BRTs therefore constitute a powerful tool to investigate relationships between the environment and ecological responses (Dahm and Hering, 2016;Pilière et al, 2014;Segurado et al, 2016) and hence to identify the impact of multiple pressures in aquatic environments (Feld et al, 2016;Lewin et al, 2014). To model the continuous response variables (the FPM), a BRT model with a Gaussian distribution was selected as loss function for minimizing squared errors.…”

Section: Statisticsmentioning

confidence: 99%

Disentangling multiple pressures on fish assemblages in large rivers

Zajíček

Radinger

Wolter

2018

Science of The Total Environment

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European large rivers are exposed to multiple human pressures and maintained as waterways for inland navigation. However, little is known on the dominance and interactions of multiple pressures in large rivers and in particular inland navigation has been ignored in multi-pressure analyzes so far. We determined the response of ten fish population metrics (FPM, related to densities of diagnostic guilds and biodiversity) to 11 prevailing pressures including navigation intensity at 76 sites in eight European large rivers. Thereby, we aimed to derive indicative FPM for the most influential pressures that can serve for fish-based assessments. Pressures' influences, impacts and interactions were determined for each FPM using bootstrapped regression tree models. Increased flow velocity, navigation intensity and the loss of floodplains had the highest influences on guild densities and biodiversity. Interactions between navigation intensity and loss of floodplains and between navigation intensity and increased flow velocity were most frequent, each affecting 80% of the FPM. Further, increased sedimentation, channelization, organic siltation, the presence of artificial embankments and the presence of barriers had strong influences on at least one FPM. Thereby, each FPM was influenced by up to five pressures. However, some diagnostic FPM could be derived: Species richness, Shannon and Simpson Indices, the Fish Region Index and lithophilic and psammophilic guilds specifically indicate rhithralisation of the potamal region of large rivers. Lithophilic, phytophilic and psammophilic guilds indicate disturbance of shoreline habitats through both (i) wave action induced by passing vessels and (ii) hydromorphological degradation of the river channel that comes along with inland navigation. In European large rivers, inland navigation constitutes a highly influential pressure that adds on top of the prevailing hydromorphological degradation. Therefore, river management has to consider river hydromorphology and inland navigation to efficiently rehabilitate the potamal region of large rives.

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“…BRTs have been extensively applied as an exploratory tool to compare the nature and relative importance of functional relationships between variables across different sets of ecological observations (Buston and Elith, 2011;Descy et al, 2016;Segurado et al, 2016;Tisseuil et al, 2012;Walsh and Webb, 2016). We fit BRT models to each set of CHAB observations separately to explore relationships between environmental drivers and bloom size and to assess the degree of coherence in modeling results across monitoring products.…”

Section: Boosted Regression Tree Analysismentioning

confidence: 99%

Tracking cyanobacteria blooms: Do different monitoring approaches tell the same story?

Bertani

Steger

Obenour

et al. 2017

Science of The Total Environment

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Cyanobacteria blooms are a major environmental issue worldwide. Our understanding of the biophysical processes driving cyanobacterial proliferation and the ability to develop predictive models that inform resource managers and policy makers rely upon the accurate characterization of bloom dynamics. Models quantifying relationships between bloom severity and environmental drivers are often calibrated to an individual set of bloom observations, and few studies have assessed whether differences among observing platforms could lead to contrasting results in terms of relevant bloom predictors and their estimated influence on bloom severity. The aim of this study was to assess the degree of coherence of different monitoring methods in (1) capturing short- and long-term cyanobacteria bloom dynamics and (2) identifying environmental drivers associated with bloom variability. Using western Lake Erie as a case study, we applied boosted regression tree (BRT) models to long-term time series of cyanobacteria bloom estimates from multiple in-situ and remote sensing approaches to quantify the relative influence of physico-chemical and meteorological drivers on bloom variability. Results of BRT models showed remarkable consistency with known ecological requirements of cyanobacteria (e.g., nutrient loading, water temperature, and tributary discharge). However, discrepancies in inter-annual and intra-seasonal bloom dynamics across monitoring approaches led to some inconsistencies in the relative importance, shape, and sign of the modeled relationships between select environmental drivers and bloom severity. This was especially true for variables characterized by high short-term variability, such as wind forcing. These discrepancies might have implications for our understanding of the role of different environmental drivers in regulating bloom dynamics, and subsequently for the development of models capable of informing management and decision making. Our results highlight the need to develop methods to integrate multiple data sources to better characterize bloom spatio-temporal variability and improve our ability to understand and predict cyanobacteria blooms.

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Sensitivity of river fishes to climate change: The role of hydrological stressors on habitat range shifts

Cited by 27 publications

References 68 publications

FiCli, the Fish and Climate Change Database, informs climate adaptation and management for freshwater fishes

FiCli, the Fish and Climate Change Database, informs climate adaptation and management for freshwater fishes

Disentangling multiple pressures on fish assemblages in large rivers

Tracking cyanobacteria blooms: Do different monitoring approaches tell the same story?

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