Evidence map›Paper›PMID 35710808›Full record

ArticleScientific reports2022

Assessing the impact of land use land cover change on regulatory ecosystem services of subtropical scrub forest, Soan Valley Pakistan.

Gul Zareen Ghafoor, Faiza Sharif, Memuna Ghafoor Shahid, Laila Shahzad, Rizwan Rasheed, Amin Ul Haq Khan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Gul Zareen GhafoorSustainable Development Study Centre, Government College University Lahore, Lahore, Pakistan. zareen.sdsc@gcu.edu.pk.ORCID 0000-0003-4784-3366
Faiza SharifSustainable Development Study Centre, Government College University Lahore, Lahore, Pakistan.
Memuna Ghafoor ShahidDepartment of Botany, Government College University Lahore, Lahore, Pakistan.
Laila ShahzadSustainable Development Study Centre, Government College University Lahore, Lahore, Pakistan.
Rizwan RasheedSustainable Development Study Centre, Government College University Lahore, Lahore, Pakistan.
Amin Ul Haq KhanSustainable Development Study Centre, Government College University Lahore, Lahore, Pakistan.
Government College University, Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effect of land use land cover (LULC) changes on carbon sequestration in the Hayat-ul-Mir subtropical scrub reserve forest, Pakistan. Supervised maximum likelihood classification of Landsat satellite imagery was done to assess spatio-temporal changes in LULC during 2007, 2013 and 2019. The CA-Markov model was used to simulate LULC of 2030. Spatial LULC data and carbon pools data was processed in Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) carbon model to investigate the effect of LULC on future carbon dynamics. The analysis revealed increase in cover of A. modesta and O. ferruginea and decrease in agriculture, built up and barren area of forest during 2007-2019 and 2030. The analysis also showed that the forest would additionally sequester 111 Mg C with an overall Net Present Value of $4112.05 in year 2030. The analysis revealed LULC changes on 25% area with increase and decrease in the value of ecosystem service (at some location) from carbon storage and loss as CO

Indexed as

Conservation of Natural ResourcesEcosystemAgricultureCarbonEnvironmental MonitoringForestsPakistanCarbon

Identifiers

PMID35710808
PMCPMC9203757
OpenAlexW4282981889

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.