Evidence map›Paper›PMID 33686536›Full record

ArticleEnvironmental monitoring and assessment2021

Southern coastal subtropical shallow lakes skin temperature driven by climatic and non-climatic factors.

Itzayana González Ávila, Matheus Henrique Tavares, Cayo Lopes Bezerra Chalegres, Andres Mauricio Munar, Carlos Ruberto Fragoso, David da Motta-Marques, Anderson Ruhoff

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Itzayana González ÁvilaInstituto de Pesquisas Hidráulicas, Universidade Federal Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil. gonzalez.avila@ufrgs.br.ORCID http://orcid.org/0000-0003-1684-8885
Matheus Henrique TavaresInstituto de Pesquisas Hidráulicas, Universidade Federal Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.ORCID https://orcid.org/0000-0001-9341-5245
Cayo Lopes Bezerra ChalegresInstituto de Pesquisas Hidráulicas, Universidade Federal Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.ORCID https://orcid.org/0000-0002-6153-6453
Andres Mauricio MunarEscuela de Ciencias Agrícolas, Pecuarias y del Medio Ambiente, Universidad Nacional Abierta y a Distancia, Bogotá, 111411, Colombia.ORCID https://orcid.org/0000-0003-2056-7234
Carlos Ruberto FragosoCentro de Tecnologia, Universidade Federal de Alagoas, Campus A.C. Simões, Maceió, AL, Brazil.ORCID https://orcid.org/0000-0002-5853-6030
David da Motta-MarquesInstituto de Pesquisas Hidráulicas, Universidade Federal Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.ORCID https://orcid.org/0000-0002-3809-8053
Anderson RuhoffInstituto de Pesquisas Hidráulicas, Universidade Federal Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, Rio Grande do Sul, 91501-970, Brazil.ORCID https://orcid.org/0000-0002-3585-2022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subtropical coastal shallow lakes (SCSL) are sensitive ecosystems. The lake-skin-water temperature (LSWT) is an average lake temperature proxy and responds to changes in surroundings, affecting biological and physical lake processes. In this study, M*D11A1 products are used to develop daytime and nighttime LSWT time series for 20 SCSL in South America. The influence of climatic (air temperature, surface net solar radiation, wind speed, and wind direction) and non-climatic (latitude, lake area, perimeter, width, length, and morphology) factors are evaluated from 2001 to 2017. Pearson's coefficients (ρ) and auto- and cross-correlations are used to establish the relation between LWST and the selected factors. We identify that the dynamic of LSWT is sensitive to geomorphological factors (latitude and lake width) throughout the year, especially in summer. In winter, the LSTW regime is mainly affected by wind direction (ρ = -0.66, p value < 0.01). Linear models are fitted to the temperature series to check the trend changes in the inflection points and the warming or cooling trend for LSWT. Considering the complete series, the maximum warming rate of LSWT is 0.25 °C per decade (°C/dec). The analysis of the identified sub-periods reveals that warming and cooling can occur (significantly) in shorter periods. The average trends within sub-periods for skin temperature-daytime (± 0.0105 °C/dec), skin temperature-nighttime (0.0041 °C/dec), and air temperature (- s0.006 °C/dec; 0.007 °C/dec) are estimated. Our approach has the potential to be applied in future studies due to the expansion of knowledge about the behavior of SCSL and the understanding of the current and potential effects of climate change in association with physical and geomorphological traits.

Indexed as

EcosystemLakesEnvironmental MonitoringSkin TemperatureSouth AmericaTemperatureCorrelationsFactorsSubtropical coastal shallow lakesTrend

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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.