Evidence map›Paper›PMID 40410241›Full record

ArticleScientific reports2025

Modeling the influence of global warming on carbon, phytoplankton, and zooplankton dynamics.

Kankan Sarkar, Juan J Nieto, Subhas Khajanchi, Prakash Chandra Mali

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Kankan SarkarDepartment of Mathematics, Guru Ghasidas Vishwavidyalaya, 495009, Bilaspur, Chhattisgarh, India.ORCID https://orcid.org/0000-0002-2777-9611
Juan J NietoCITMAga, Departamento de Estatística, Análise Matemática e Optimización, Universidade de Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Subhas KhajanchiDepartment of Mathematics, Presidency University, 86/1 College Street, 700073, Kolkata, India. subhaskhajanchi@gmail.com.
Prakash Chandra MaliDepartment of Mathematics, Jadavpur University, 700032, Kolkata, India.

Funding

Agencia Estatal de Investigación PID2020-113275GB-I00ERDF A way of making Europe MCIN/AEI/10.13039/501100011033Fund for Improvement of S & T Infrastructure (FIST) SR/FST/MS-I/2019/41Fund for Improvement of S & T Infrastructure (FIST) SR/FST/MS-I/2022/122Xunta de Galicia ED431C 2023/12
6 · The paper itself

Abstract

Over the last 250 years, anthropogenic activity has increased atmospheric carbon dioxide by nearly 40%. This increase is mainly caused by human fossil fuel combustion and deforestation, which are the main causes of global warming. Phytoplankton of the world's oceans synthesizes half of the carbon dioxide of the total Earth's photosynthetic activity. Thus, phytoplankton plays a crucial role in controlling Earth's climate. To study this scenario, we propose and analyze a mathematical model for the carbon-phytoplankton-zooplankton interaction dynamics. Positivity, boundedness, existence, and stability of biologically possible equilibrium points are studied. The system exhibits Hopf bifurcation with respect to the carbon capture coefficient and the criteria of Hopf bifurcation is established around the coexisting equilibrium. Complex spatiotemporal dynamics and patchy pattern formation are observed in the spatially explicit model. The proposed carbon-phytoplankton-zooplankton system incorporates the effect of global warming, and our simulation shows shifts in plankton seasonal dynamics.

Indexed as

CarbonGlobal WarmingModels, BiologicalModels, TheoreticalPhytoplanktonZooplanktonAnimalsCarbon DioxideEcosystemSeasonsCarbonCarbon Dioxide

Identifiers

PMID40410241
PMCPMC12102356

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Registered trials

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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.