Evidence map›Paper›PMID 41131128›Full record

ArticleScientific reports2025

Climate change mitigation potential of rural households in Chattogram District of Bangladesh.

Md Zeesun-Ul Haque, Thuhidul Islam, Tarit Kumar Baul, Antti Kilpeläinen, Ashraful Alam, Mohammed Jashimuddin, Shiba P Kar

Abstract read
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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

7 authors.

Md Zeesun-Ul HaqueInstitute of Forestry and Environmental Sciences, University of Chittagong, Chittagong, 4331, Bangladesh.
Thuhidul IslamInstitute of Forestry and Environmental Sciences, University of Chittagong, Chittagong, 4331, Bangladesh.
Tarit Kumar BaulInstitute of Forestry and Environmental Sciences, University of Chittagong, Chittagong, 4331, Bangladesh. tarit.ifes@cu.ac.bd.
Antti KilpeläinenFaculty of Science and Forestry, School of Forest Sciences, University of Eastern Finland (UEF), P.O. Box 111, Joensuu, FI-80101, Finland.
Ashraful AlamSustainability science and indicators group, Natural Resources Institute Finland, Latokartanonkaari 9, Helsinki, 00790, Finland.
Mohammed JashimuddinInstitute of Forestry and Environmental Sciences, University of Chittagong, Chittagong, 4331, Bangladesh.
Shiba P KarNatural Resources, Environment, and Energy, University of Illinois Urbana-Champaign, Champaign, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A holistic analysis of climate change mitigation potential at the household level has not yet been conducted in Bangladesh. We aimed to quantify the climate change mitigation potential of carbon storage in homegarden trees and wooden furniture across households of different income levels in Anowara Upazila, Chattogram, Bangladesh. We also quantified the substitution potential of wooden furniture and use of renewable energy sources. Following simple random techniques, we surveyed a total of 217 homegardens and their respective households from the three villages of Boirag Union, with a sampling intensity of 5%. Furniture manufacturers were also surveyed to determine the typical amount of wood and types of tree species used for furniture. We found that homegarden trees stored on average 42 Mg CO

Indexed as

Climate ChangeRural PopulationBangladeshCarbon DioxideFamily CharacteristicsHumansTreesWoodCarbon DioxideCarbon storageDisplacement factorsFossil counterpartsHomegarden treesSubstitution potentialWooden furniture

Identifiers

PMID41131128
PMCPMC12550031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.