Evidence map›Paper›PMID 39550396›Full record

ArticleScientific reports2024

Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes.

Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

13 authors.

Yamini BhatIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.
Subrata NandyIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India. subrato.nandy@gmail.com.
Krishna DasIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.ORCID https://orcid.org/0009-0009-7628-9262
Muna TamangIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.
Hitendra PadaliaIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.
Arun Jyoti NathDepartment of Ecology and Environmental Science, Assam University, Silchar, 788011, India.
Koushik MajumdarDepartment of Botany, Tripura University, Suryamaninagar, 799022, Tripura, India.
Rocky PebamNorth Eastern Space Applications Centre, Department of Space, Government of India, Umiam, 793103, India.
Pynkhlainbor ThongniNorth Eastern Space Applications Centre, Department of Space, Government of India, Umiam, 793103, India.
Bandana KurmiDepartment of Ecology and Environmental Science, Assam University, Silchar, 788011, India.
Ashesh Kumar DasDepartment of Ecology and Environmental Science, Assam University, Silchar, 788011, India.
S P S KushwahaIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.
R P SinghIndian Institute of Remote Sensing, Indian Space Research Organisation, Department of Space, Government of India, Dehradun, 248001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shifting cultivation, an age-old agricultural practice, is a major factor in forest cover change across Southeast Asia, where repeated cycles of vegetation disturbance and regrowth lead to far-reaching environmental and socio-economic impacts. The present study aims to assess the spatio-temporal patterns of vegetation disturbance and regrowth caused by shifting cultivation in Tripura state of India, over the past three decades, utilizing temporal segmentation of time-series Landsat data. The study analyzed vegetation disturbance and regrowth patterns in a shifting cultivation landscape from 1991 to 2020 using normalized burn ratio trends through LandTrendr, validated by the TimeSync tool. Six land use and land cover classes, viz., forests and trees outside forests, rubber plantation, shifting cultivation, water bodies, agriculture, and settlements, were mapped with an accuracy of 83.08% using a random forest classifier. This classification enabled the identification of the effective study area, which included forest areas with shifting cultivation patches. The analysis revealed that 2533.96 km

Indexed as

AgricultureConservation of Natural ResourcesForestsEcosystemIndiaTreesLandTrendrMulti-decadal vegetation changeNortheast IndiaSlash-and-burnTime-series

Identifiers

PMID39550396
PMCPMC11569183

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.