Evidence map›Paper›PMID 34787683›Full record

ArticleInternational journal of biometeorology2022

Inland heat waves (IHWs) and associated impacts on hydro-biology of aquatic ecosystems in lower Ganga basin, India.

Uttam Kumar Sarkar, Thankam Theresa Paul, Mishal Puthiyottil, Gunjan Karnatak, Vandana Gokul Das, Lianthuamluaia, Arnab Bandyopadhyay, Snigdha Bakshi, Basanta Kumar Das

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Article in International journal of biometeorology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Uttam Kumar SarkarICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India. usarkar1@rediffmail.com.ORCID http://orcid.org/0000-0001-8166-4375
Thankam Theresa PaulICAR-Central Inland Fisheries Research Institute, Kochi, India.
Mishal PuthiyottilICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.
Gunjan KarnatakICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.
Vandana Gokul DasICAR-Central Inland Fisheries Research Institute, Kochi, India.
LianthuamluaiaICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.
Arnab BandyopadhyayICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.
Snigdha BakshiICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.
Basanta Kumar DasICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, India.

Funding

indian council of agricultural research CIFRI/NICRA
6 · The paper itself

Abstract

The present study assessed the occurrence and impact of heat waves on the ecology of two ecosystems namely Bhomra wetland and Ganga River stretch, India. The water samples collected from these ecosystems were analyzed for estimating the hydrological and biological variables during heat wave. The inland heat index (IHI) was derived from the climatic variables, relative humidity and temperature. The study indicated the predominant and periodic occurrence of inland heat waves (IHW) with indices ranging from 34.8 to 42.8 °C and 35.9 to 43.5 °C at the Bhomra and Ganga River stretch respectively during the summer months (March-June). The first two components of the principal component analysis of physico-chemical parameters and heat index explained 45.6% and 59% of the variation in the Bhomra and Ganga River stretch respectively. PCA showed a similar pattern in variation of IHWs and dissolved oxygen, nutrients, hardness and alkalinity, but a distinct pattern with conductivity and TDS in the wetland. IHW exhibited a similar pattern of variation with TDS, conductivity, dissolved oxygen, pH and hardness and distinct pattern with alkalinity, phosphate and nitrate in the river stretch. The first two components of PCA of IHI and plankton abundance explained 89% of the variation and IHI had a similar pattern of variation with the abundance of diatoms and a diverse pattern of variation with blue-green and green algae in the studied ecosystems which might affect the food availability of the associated fishes. The study suggests that IHW influences the water quality and primary producers and also summarizes the impact of IHW on ecosystem services and necessitates mitigation measures.

Indexed as

EcosystemEnvironmental MonitoringBiologyHot TemperatureIndiaRiversAquatic ecosystemInland heat wavePhysico-chemical parametersPlanktonPrincipal component analysis

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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.