Evidence map›Paper›PMID 34881410›Full record

ArticleEnvironmental monitoring and assessment2021

Spatio-temporal assessment on land use and land cover (LULC) and forest fragmentation in shifting agroecosystem landscape in Ukhrul district of Manipur, Northeast India.

Tuisem Shimrah, Peimi Lungleng, Ahanthem Rebika Devi, Kiranmay Sarma, Franky Varah, Yanglem Sharatchandra Khuman

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2021. 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

6 authors.

Tuisem ShimrahUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Dwarka 16 C, 110078, New Delhi, India. tsshimrah@gmail.com.
Peimi LunglengUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Dwarka 16 C, 110078, New Delhi, India.
Ahanthem Rebika DeviUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Dwarka 16 C, 110078, New Delhi, India.
Kiranmay SarmaUniversity School of Environment Management, Guru Gobind Singh Indraprastha University, Dwarka 16 C, 110078, New Delhi, India.
Franky VarahDepartment of Environmental Science, Bhaskaracharya College of Applied Science, Delhi University, New Delhi, India.
Yanglem Sharatchandra KhumanSchool of Inter-Disciplinary and Transdisciplinary Studies, Indira Gandhi National Open University, New Delhi, India.

Funding

Ministry of Environment, Forest and Climate Change Ref. No.: GBPNI/NMHS-2017-18/MG-10/
6 · The paper itself

Abstract

The information on land use and land cover (LULC) plays a critical role in understanding the interactions between human activities and the natural environment. The changes in LULC have a significant impact on the ecological integrity of forests, biodiversity, and natural resources, which in turn trigger global environmental change. Forest fragmentation is an important conservation challenge that includes interdependent forest loss components and spatial shift patterns. Over the years, Northeast India has experienced major changes in LULC and forest fragmentation. There are limited information and data regarding the change in LULC patterns and causes of forest fragmentation. The present study was carried out with an attempt to analyze the change in LULC and forest fragmentation using satellite data of three different time series: 1991, 2005, and 2020 for Ukhrul district, Manipur, Northeast India. Different LULC classes were classified using the supervised method, viz., maximum likelihood algorithm in ERDAS Imagine 2014 and generated thematic maps in ArcGIS 10.4 software. Considering the classified forest class, fragmentation in the forest area was grouped into different categories of fragmentation using the Landscape Fragmentation Tool (LFT v 2.0). The distribution of the perforated category has tremendously increased in 2020 from 1991. The outcome of the present study will help to understand the inherent forest vulnerability and to adopt sustainable management strategies for forest and agriculture ecosystems in the hill landscape.

Indexed as

Conservation of Natural ResourcesEcosystemAgricultureEnvironmental MonitoringForestsHumansIndiaForest fragmentationLandscape Fragmentation ToolLand use and land coverUkhrul

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.