Evidence map›Paper›PMID 29680922›Full record

ArticleEnvironmental monitoring and assessment2018

Bioindicator responses and performance of plant species along a vehicular pollution gradient in western Himalaya.

Rachit Kashyap, Rohit Sharma, Sanjay Kr Uniyal

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2018. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Rachit KashyapHigh Altitude Biology Division, Institute of Himalayan Bioresource Technology, CSIR, Palampur, Himachal Pradesh, 176 061, India.
Rohit SharmaHigh Altitude Biology Division, Institute of Himalayan Bioresource Technology, CSIR, Palampur, Himachal Pradesh, 176 061, India.
Sanjay Kr UniyalHigh Altitude Biology Division, Institute of Himalayan Bioresource Technology, CSIR, Palampur, Himachal Pradesh, 176 061, India. suniyal@ihbt.res.in.

Funding

Minsitry of Environment, Forests and Climate Chnage through NMHS GAP 0199
6 · The paper itself

Abstract

Loss of green cover, and increasing pollution is a prime global concern. The problem calls for screening of pollution-tolerant tree species that can be integrated into plantation drives. Recognizing this, the study analyzed bio-indicator responses and performance of commonly occurring plant species along a pollution gradient in western Himalaya. Based on distance from the road, three sites viz., highly polluted (HP), moderately polluted (MP), and least polluted (LP), were identified. From these sites, leaves of commonly occurring 26 tree species were collected and analyzed for dust accumulation, total chlorophyll, relative water content (RWC), ascorbic acid, and pH using standard protocols. Later, assessment of Air Pollution Tolerance Index (APTI) and Anticipated Performance Indices (API) was carried out. The results revealed variations in biochemical characteristics. The pH, RWC, and total chlorophyll increased with decreasing pollution while ascorbic acid increased with increasing pollution. Dust capturing potential of Ficus carica (1.191 mg/m

Indexed as

MagnoliopsidaPlant LeavesTreesVehicle EmissionsAir PollutantsAir PollutionAscorbic AcidChlorophyllDustEnvironmental BiomarkersEnvironmental MonitoringHumansWaterAir PollutantsAscorbic AcidChlorophyllDustEnvironmental BiomarkersVehicle EmissionsWaterAir pollutionAPTIHimalayaPlantsSensitiveTolerant

Identifiers

What OpenQuestion holds

Textmetadata
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.