Evidence map›Paper›PMID 31172363›Full record

ArticleEnvironmental monitoring and assessment2019

Effects of population, land cover change, and climatic variability on wetland resource degradation in a Ramsar listed Ghodaghodi Lake Complex, Nepal.

Pramod Lamsal, Kishor Atreya, Manoj Kumer Ghosh, Krishna Prasad Pant

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Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Pramod LamsalHimalayan Geo-En Pvt. Ltd., Dhumbarahi, Kathmandu, Nepal. pramod_lamsal@yahoo.com.ORCID http://orcid.org/0000-0001-5685-9621
Kishor AtreyaPHASE Nepal, Suryabinayak Municipality - 4, Dadhikot, Bhaktapur, Nepal.ORCID http://orcid.org/0000-0001-7164-5592
Manoj Kumer GhoshDepartment of Geography and Environmental Studies, University of Rajshahi, Rajshahi, Bangladesh.
Krishna Prasad PantSchool of Arts, Kathmandu University, Lalitpur, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wetlands support livelihoods of millions of people in developing countries. However, wetland land cover change, as a result of growing population and subsequent anthropogenic activities, has been evident at a global scale, and ongoing micro-climate alteration has further deteriorating its ecological condition. Nepal is equally vulnerable to wetland changes that can have direct effects on the sustenance of local wetland-dependent people. This study thus attempts to look at how wetland areas of Nepal are undergoing changes, taking a case of Ghodaghodi Lake Complex (GLC). Remote sensing technique, climate, and population data were used in the analysis aided by focus group discussions and key informant interviews. Results showed that total population of the study area has been increased drastically in recent decades. Landsat image analysis for 25 years (1989-2016) depicts changes in the GLC in its land cover, with maximum expansion observed in settlement followed by river and banks, whereas maximum reduction was observed in forests, followed by areas of agricultural land and lake. Similarly, diurnal temperature is increasing while total annual rainfall is slightly decreasing during the same period. Locals have perceived ecological degradation in the GLC due to both anthropogenic pressure and climatic variability. The study outlines linkage of drivers for GLC degradation and finally makes recommendations to achieve longer term sustainability of the lake complex.

Indexed as

Climate ChangeWetlandsAgricultureClimateEnvironmental MonitoringForestsLakesNepalClimatic variabilityGhodaghodi LakeLand coverNepalRamsarWetland

Identifiers

What OpenQuestion holds

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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.