Evidence map›Paper›PMID 41764302›Full record

ArticleScientific reports2026

Analyzing sustainable cotton production in Türkiye through the water energy carbon nexus framework.

Ömer Ertuğrul, Gülden Özgünaltay Ertuğrul, Adnan Değirmencioğlu, Seher Kadirova

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

4 authors.

Ömer ErtuğrulFaculty of Agriculture, Department of Biosystems Engineering, Kırşehir Ahi Evran University, 40100, Kırşehir, Türkiye. oertugrul@ahievran.edu.tr.
Gülden Özgünaltay ErtuğrulFaculty of Agriculture, Department of Biosystems Engineering, Kırşehir Ahi Evran University, 40100, Kırşehir, Türkiye.
Adnan DeğirmencioğluFaculty of Agriculture, Department of Agricultural Engineering and Technologies, Ege University, 35100, Bornova, Izmir, Türkiye.
Seher KadirovaFaculty of Electrical Engineering, Electronics and Automation, Department of Automatics and Electronics, University of Ruse "Angel Kanchev", Ruse, 7017, Bulgaria.

Funding

NextGenerationEU BG-RRP-2.013-0001
6 · The paper itself

Abstract

The Water-Energy-Carbon (WEC) nexus provides an integrated framework for analyzing interdependent resource demands in agriculture. This study employs a comprehensive WEC-based approach to evaluate sustainable cotton production in Türkiye, focusing on water use (blue and green), energy consumption, and associated carbon emissions across varying land sizes and future renewable energy scenarios. A composite WEC Index was constructed to enable scenario comparison, where lower index values indicate improved sustainability performance under the defined normalization scheme. Projections for two periods (until 2040 and 2041–2070) assess the impacts of climate-induced precipitation changes, land expansion, and renewable energy adoption. Results show increasing water and energy demands with enlarged cultivation areas, along with a significant rise in total carbon emissions, particularly beyond 2040. Although national renewable energy targets (15% by 2040, 50% by 2041–2070) contribute to reducing the carbon intensity of energy use, they are insufficient to fully offset emissions under large-scale land expansion scenarios. The study highlights the need for coordinated land-use planning, irrigation efficiency improvements, and renewable energy integration strategies to support sustainable cotton production under future climate constraints.

Indexed as

CottonResource allocationSelf-sufficiencySustainable agricultureVirtual waterWEC nexus

Identifiers

PMID41764302
PMCPMC13049010

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.