Evidence map›Paper›PMID 41545530›Full record

ArticleScientific reports2026

Spatiotemporal simulation of land use and land cover changes in Türkiye through a CA-Markov framework.

Nuri Bozali

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

1 author.

Nuri BozaliFaculty of Forestry, Department of Forest Engineering, Karadeniz Technical University, Trabzon, Turkey. nuribozali@ktu.edu.tr.ORCID http://orcid.org/0000-0001-5735-3649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to utilize digital forest stand maps and GIS techniques with the CA-Markov model to analyze historical and projected land use dynamics and land use and land cover (LULC) in the Ulubey district of Uşak province, located in Türkiye's Aegean area. To achieve this objective, LULC changes from the years 2001, 2013, and 2025 were analyzed, and potential changes for 2037 and 2049 were projected utilizing the CA-Markov model, which exhibited an 83.7% similarity rate, 86.7% overall accuracy, and a 0.848 kappa statistic. The model's reliability was confirmed by overlaying the 2025 LULC change map onto the 2025 projected map. Between 2001 and 2025, the total forest area (broadleaf, coniferous, mixed, and degraded forest) diminished by 3290.4 hectares (13.82%). Agricultural lands in non-forest regions have increased by 2.69%, settlement areas by 68.00%, and water areas by 424.89%. The LULC simulation results for 2037-2049 predict a reduction of 11.43% to 20.57% in forest areas and a decline of 2.61% to 6.09% in settlement areas. An increase of 6.63% to 12.24% is projected in agricultural lands, while a rise of 14.67% is forecast in water areas. Employing LULC simulation to classify and analyze forested regions into coniferous, broadleaf, and mixed forest types can aid forest planners and managers in decision-making and implementation.

Indexed as

CA-MarkovForest cover changeGISLULCTürkiye

Identifiers

PMID41545530
PMCPMC12881542

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.