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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00020711:_____/19:00004830

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Scientific Reports

ISSN

2045-2322

e-ISSN

2045-2322

Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

14405-14414

Kód UT WoS článku

000489099500001

EID výsledku v databázi Scopus

2-s2.0-85073054962