Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Brownification on hold: What traditional analyses miss in extended surface water records
SLU Swedish University of Agricultural Sciences, Sweden.
SLU Swedish University of Agricultural Sciences, Sweden.
RISE Research Institutes of Sweden, Bioekonomi och hälsa, Jordbruk och livsmedel. SLU Swedish University of Agricultural Sciences, Sweden.ORCID-id: 0000-0003-2662-9264
SLU Swedish University of Agricultural Sciences, Sweden.
Vise andre og tillknytning
2021 (engelsk)Inngår i: Water Research, ISSN 0043-1354, E-ISSN 1879-2448, Vol. 203, artikkel-id 117544Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Widespread increases in organic matter (OM) content of surface waters, as measured by color and organic carbon (OC), are a major issue for aquatic ecosystems. Long-term monitoring programs revealed the issue of “brownification”, with climate change, land cover changes and recovery from acidification all suspected to be major drivers or contributing factors. While many studies have focused on the impact and drivers, fewer have followed up on whether brownification is continuing. As time-series of OM data lengthen, conventional data-analysis approaches miss important information on when changes occur. To better identify temporal OM patterns during three decades (1990–2020) of systematic monitoring, we used generalized additive models to analyze 164 time-series from watercourses located across Sweden. Increases in OC that were widespread during 1990–2010 ceased a decade ago, and most color increases ceased 20 years ago. These findings highlight the need to reassess the understanding of brownification's spatial and temporal extent, as well as the tools used to analyze lengthening time series.

sted, utgiver, år, opplag, sider
Elsevier Ltd , 2021. Vol. 203, artikkel-id 117544
Emneord [en]
Absorbance, Brownification, Generalized additive mixed model, Long-term trends, Organic matter, Watercourses
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-56106DOI: 10.1016/j.watres.2021.117544Scopus ID: 2-s2.0-85113196499OAI: oai:DiVA.org:ri-56106DiVA, id: diva2:1590001
Merknad

Funding details: Naturvårdsverket, NV-02868-18; Funding details: Sveriges Lantbruksuniversitet, SLU; Funding text 1: This study was funded by the Swedish Environmental Protection Agency (Project Number NV-02868-18) and the Swedish University of Agricultural Sciences environmental monitoring and assessment programme “Lake and watercourses”. We greatly appreciate the friendly review of this manuscript by Christopher D. Evans.

Tilgjengelig fra: 2021-09-01 Laget: 2021-09-01 Sist oppdatert: 2023-06-02bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Amvrosiadi, Nino

Søk i DiVA

Av forfatter/redaktør
Amvrosiadi, Nino
Av organisasjonen
I samme tidsskrift
Water Research

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 82 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.41.0