Evidence map›Paper›PMID 33529253›Full record

ArticlePloS one2021

Development of photosynthetic carbon fixation model using multi-excitation wavelength fast repetition rate fluorometry in Lake Biwa.

Takehiro Kazama, Kazuhide Hayakawa, Victor S Kuwahara, Koichi Shimotori, Akio Imai, Kazuhiro Komatsu

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Exploring Variability ofFrontiers in microbiology · 2022
    Article
4 · The record

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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.

Takehiro KazamaLake Biwa Branch Office, National Institute for Environmental Studies, Otsu, Shiga, Japan.ORCID 0000-0002-2612-5202
Kazuhide HayakawaLake Biwa Environmental Research Institute, Otsu, Shiga, Japan.
Victor S KuwaharaGraduate School of Science & Engineering, Soka University, Hachioji, Tokyo, Japan.
Koichi ShimotoriLake Biwa Branch Office, National Institute for Environmental Studies, Otsu, Shiga, Japan.
Akio ImaiLake Biwa Branch Office, National Institute for Environmental Studies, Otsu, Shiga, Japan.
Kazuhiro KomatsuCenter for Regional Environmental Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct measurements of gross primary productivity (GPP) in the water column are essential, but can be spatially and temporally restrictive. Fast repetition rate fluorometry (FRRf) is a bio-optical technique based on chlorophyll a (Chl-a) fluorescence that can estimate the electron transport rate (ETRPSII) at photosystem II (PSII) of phytoplankton in real time. However, the derivation of phytoplankton GPP in carbon units from ETRPSII remains challenging because the electron requirement for carbon fixation (Фe,C), which is mechanistically 4 mol e- mol C-1 or above, can vary depending on multiple factors. In addition, FRRf studies are limited in freshwater lakes where phosphorus limitation and cyanobacterial blooms are common. The goal of the present study is to construct a robust Фe,C model for freshwater ecosystems using simultaneous measurements of ETRPSII by FRRf with multi-excitation wavelengths coupled with a traditional carbon fixation rate by the 13C method. The study was conducted in oligotrophic and mesotrophic parts of Lake Biwa from July 2018 to May 2019. The combination of excitation light at 444, 512 and 633 nm correctly estimated ETRPSII of cyanobacteria. The apparent range of Фe,C in the phytoplankton community was 1.1-31.0 mol e- mol C-1 during the study period. A generalised linear model showed that the best fit including 12 physicochemical and biological factors explained 67% of the variance in Фe,C. Among all factors, water temperature was the most significant, while photosynthetically active radiation intensity was not. This study quantifies the in situ FRRf method in a freshwater ecosystem, discusses core issues in the methodology to calculate Фe,C, and assesses the applicability of the method for lake GPP prediction.

Indexed as

CarbonCarbon CycleChlorophyllChlorophyll ACyanobacteriaEcosystemElectronsElectron TransportFluorometryJapanLakesModels, TheoreticalPhotosynthesisPhotosystem II Protein ComplexPhytoplanktonTemperatureCarbonChlorophyllChlorophyll APhotosystem II Protein Complex

Identifiers

PMID33529253
PMCPMC7853527

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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.