Evidence map›Paper›PMID 37733219›Full record

ArticleAmbio2023

Quantification of the effect of environmental changes on the brownification of Lake Kukkia in southern Finland.

Katri Rankinen, Virpi Junttila, Martyn Futter, José Enrique Cano Bernal, Daniel Butterfield, Maria Holmberg

Abstract read
In one paragraph

Article in Ambio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katri RankinenFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland. katri.rankinen@syke.fi.ORCID http://orcid.org/0000-0001-8744-1420
Virpi JunttilaFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland.
Martyn FutterSwedish University of Agricultural Sciences, P.O. Box 7070, 750 07, Uppsala, Sweden.
José Enrique Cano BernalFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland.
Daniel ButterfieldEnmosys, Vermont, USA.
Maria HolmbergFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland.

Funding

Horizon 2020 Framework Programme 871128Maa- ja MetsätalousministeriÖ 766 VN/28536/2020Strategic Research Council 312559Ympäristöministeriö VN/5082/2020
6 · The paper itself

Abstract

The browning of surface waters due to the increased terrestrial loading of dissolved organic carbon is observed across the northern hemisphere. Brownification is often explained by changes in large-scale anthropogenic pressures (including acidification, and climate and land-use changes). We quantified the effect of environmental changes on the brownification of an important lake for birds, Kukkia in southern Finland. We studied the past trends of organic carbon loading from catchments based on observations taken since the 1990s. We created hindcasting scenarios for deposition, climate and land-use change in order to simulate their quantitative effect on brownification by using process-based models. Changes in forest cuttings were shown to be the primary reason for the brownification. According to the simulations, a decrease in deposition has resulted in a slightly lower leaching of total organic carbon (TOC). In addition, runoff and TOC leaching from terrestrial areas to the lake was smaller than it would have been without the observed increasing trend in temperature by 2 °C in 25 years.

Indexed as

CarbonClimate ChangeLakesAnimalsEnvironmental MonitoringFinlandCarbonAtmospheric depositionBrownificationClimate changeLand-use changeProcess-based models

Identifiers

PMID37733219
PMCPMC10562317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.