Evidence map›Paper›PMID 35615290›Full record

ArticlePeerJ2022

Land use/land cover changes in the central part of the Chitwan Annapurna Landscape, Nepal.

Jagan Nath Adhikari, Bishnu Prasad Bhattarai, Maan Bahadur Rokaya, Tej Bahadur Thapa

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In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

4 authors.

Jagan Nath AdhikariCentral Department of Zoology, Institute of Science and Technology, Tribhuvan University Kathmandu, Kirtipur, Bagmati, Nepal.
Bishnu Prasad BhattaraiCentral Department of Zoology, Institute of Science and Technology, Tribhuvan University Kathmandu, Kirtipur, Bagmati, Nepal.ORCID 0000-0001-5741-6179
Maan Bahadur RokayaGlobal Change Research Institute, Czech Academy of Sciences, Brno, Moravia, Czech Republic.
Tej Bahadur ThapaCentral Department of Zoology, Institute of Science and Technology, Tribhuvan University Kathmandu, Kirtipur, Bagmati, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Land use/land cover assessment and monitoring of the land cover dynamics are essential to know the ecological, physical and anthropogenic processes in the landscape. Previous studies have indicated changes in the landscape of mid-hills of Nepal in the past few decades. But there is a lack of study in the Chitwan Annapurna Landscape; hence, this study was carried out to fill in study gap that existed in the area. Methods: This study evaluates land use/land cover dynamics between 2000 to 2020 in the central part of the Chitwan Annapurna Landscape, Nepal by using Landsat images. The Landsat images were classified into eight different classes using remote sensing and geographic information system (GIS). The accuracy assessment of classified images was evaluated by calculating actual accuracy, producer's accuracy, user's accuracy and kappa coefficient based on the ground-truthing points for 2020 and Google Earth and topographic maps for images of 2010 and 2000. Results: The results of land use/land cover analysis of Landsat image 2020 showed that the study area was composed of grassland (1.73%), barren area (1.76%), riverine forest (1.93%), water body (1.97%), developed area (4.13%), Sal dominated forest (15.4%), cropland (28.13%) and mixed forest (44.95%). The results of land cover change between 2000 to 2020 indicated an overall increase in Sal dominated forest (7.6%), developed area (31.34%), mixed forest (37.46%) and decrease in riverine forest (11.29%), barren area (20.03%), croplands (29.87%) and grasslands (49.71%). The classification of the images of 2000, 2010 and 2020 had 81%, 81.6% and 84.77% overall accuracy, respectively. This finding can be used as a baseline information for the development of a proper management plan to protect wildlife habitats and forecasting possible future changes, if needed.

Indexed as

Conservation of Natural ResourcesEnvironmental MonitoringGeographic Information SystemsNepalRemote Sensing TechnologyAccuracy assessmentHabitat change detectionImage classificationLandsat imageRemote sensing

Identifiers

PMID35615290
PMCPMC9126145

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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.