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Multiple long-term trends and trend reversals dominate environmental conditions in a man-made freshwater reservoir

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F18%3A00488010" target="_blank" >RIV/60077344:_____/18:00488010 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/18:43897307 RIV/60076658:12510/18:43897307

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.scitotenv.2017.12.061" target="_blank" >http://dx.doi.org/10.1016/j.scitotenv.2017.12.061</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.scitotenv.2017.12.061" target="_blank" >10.1016/j.scitotenv.2017.12.061</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multiple long-term trends and trend reversals dominate environmental conditions in a man-made freshwater reservoir

  • Original language description

    Man-made reservoirs are common across the world and provide a wide range of ecological services. Environmental conditions in riverine reservoirs are affected by the changing climate, catchment-wide processes and manipulations with the water level, and water abstraction from the reservoir. Long-term trends of environmental conditions in reservoirs thus reflect a wider range of drivers in comparison to lakes, which makes the understanding of reservoir dynamics more challenging. We analysed a 32-year time series of 36 environmental variables characterising weather, land use in the catchment, reservoir hydrochemistry, hydrology and light availability in the small, canyon-shaped Římov Reservoir in the Czech Republic to detect underlying trends, trend reversals and regime shifts. To do so, we fitted linear and piecewise linear regression and a regime shift model to the time series of mean annual values of each variable and to principal components produced by Principal Component Analysis. Models were weighted and ranked using Akaike information criterion and the model selection approach. Most environmental variables exhibited temporal changes that included time-varying trends and trend reversals. For instance, dissolved organic carbon showed a linear increasing trend while nitrate concentration or conductivity exemplified trend reversal. All trend reversals and cessations of temporal trends in reservoir hydrochemistry (except total phosphorus concentrations) occurred in the late 1980s and during 1990s as a consequence of dramatic socioeconomic changes. After a series of heavy rains in the late 1990s, an administrative decision to increase the flood-retention volume of the reservoir resulted in a significant regime shift in reservoir hydraulic conditions in 1999. Our analyses also highlight the utility of the model selection framework, based on relatively simple extensions of linear regression, to describe temporal trends in reservoir characteristics. This approach can provide a solid basis for a better understanding of processes in freshwater reservoirs.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10617 - Marine biology, freshwater biology, limnology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Science of the Total Environment

  • ISSN

    0048-9697

  • e-ISSN

  • Volume of the periodical

    624

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    24-33

  • UT code for WoS article

    000426355900004

  • EID of the result in the Scopus database

    2-s2.0-85037674646