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Performance of landscape composition metrics for predicting water quality in headwater catchments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79563" target="_blank" >RIV/60460709:41330/19:79563 - isvavai.cz</a>

  • Alternative codes found

    RIV/00020711:_____/19:00004830

  • Result on the web

    <a href="https://www.nature.com/articles/s41598-019-50895-6" target="_blank" >https://www.nature.com/articles/s41598-019-50895-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41598-019-50895-6" target="_blank" >10.1038/s41598-019-50895-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance of landscape composition metrics for predicting water quality in headwater catchments

  • Original language description

    Land use is a predominant threat to the ecological integrity of streams and rivers. Understanding land use-water quality interactions is essential for the development and prioritization of management strategies and, thus, the improvement of water quality. Weighting schemes for land use have recently been employed as methods to advance the predictive power of empirical models, however, their performance has seldom been explored for various water quality parameters. In this work, multiple landscape composition metrics were applied within headwater catchments of Central Europe to investigate how weighting land use with certain combinations of spatial and topographic variables, while implementing alternate distance measures and functions, can influence predictions of water quality. The predictive ability of metrics was evaluated for eleven water quality parameters using linear regression. Results indicate that stream proximity, measured with Euclidean distance, in combination with slope or log-transforme

  • 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

    10501 - Hydrology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Scientific Reports

  • ISSN

    2045-2322

  • e-ISSN

    2045-2322

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    14405-14414

  • UT code for WoS article

    000489099500001

  • EID of the result in the Scopus database

    2-s2.0-85073054962