Evidence map›Paper›PMID 40131493›Full record

ArticleEnvironmental monitoring and assessment2025

Land use/land cover changes due to gold mining in the Singida region, central Tanzania: environmental and socio-economic implications.

Azaria Stephano Lameck, Brian Rotich, Abdalrahman Ahmed, Harison Kipkulei, Silvester Raymond Mnyawi, Kornel Czimber

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2025. 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

6 authors.

Azaria Stephano LameckDoctoral School of Environmental Science, The Hungarian University of Agriculture and Life Sciences, Páter Károly U. 1, Gödöllő, 2100, Hungary. azariastephano@gmail.com.
Brian RotichDoctoral School of Environmental Science, The Hungarian University of Agriculture and Life Sciences, Páter Károly U. 1, Gödöllő, 2100, Hungary.
Abdalrahman AhmedInstitute of Geomatics and Civil Engineering, Faculty of Forestry, University of Sopron, Bajcsy-Zs 4, Sopron, 9400, Hungary.
Harison KipkuleiInstitute of Geography, Faculty of Applied Computer Sciences, University of Augsburg, Alter Postweg 118, 86159, Augsburg, Germany.
Silvester Raymond MnyawiDepartment of Natural Science, Mbeya University of Science and Technology, PO BOX 131, Mbeya, Tanzania.
Kornel CzimberInstitute of Geomatics and Civil Engineering, Faculty of Forestry, University of Sopron, Bajcsy-Zs 4, Sopron, 9400, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the land use and land cover (LULC) changes (1995-2023) in the gold mining hotspots of Mang'onyi, Sambaru, and Londoni in the Singida region of Tanzania. The study integrated remote sensing (RS) to evaluate the LULC transitions with social survey assessments (83 respondents) to determine the resident's perceptions of the environmental, social, and economic implications of mining bridging technical data with socio-economic realities. Supervised classification of Landsat images was conducted using the random forest (RF) classifier to generate LULC maps with five classes (bareland, agricultural land, forest, built-up, and shrubs and grasses), followed by an analysis to identify LULC change trends. The results showed an overall increase in agricultural land 168.51 km

Indexed as

Conservation of Natural ResourcesEnvironmental MonitoringMiningAgricultureForestsGoldHumansSocioeconomic FactorsTanzaniaGoldEnvironmental implicationsGold rush minerLULC changeMining sitesSocial-economic implications

Identifiers

PMID40131493
PMCPMC11937042

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.