Evidence map›Paper›PMID 41890278›Full record

ArticleFrontiers in plant science2026

Evaluation of cotton production sustainability and water footprints in the oasis area of southern Xinjiang under climate change.

Hongbo Wang, Fuchang Jiang, Xingpeng Wang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. 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

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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

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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

3 authors.

Hongbo WangModern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, College of Water Hydraulic and Architectural Engineering, Tarim University, Alar, China.
Fuchang JiangModern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, College of Water Hydraulic and Architectural Engineering, Tarim University, Alar, China.
Xingpeng WangModern Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, College of Water Hydraulic and Architectural Engineering, Tarim University, Alar, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The sharp increase in temperature and changes in other climatic variables have profoundly impacted cotton growth, posing a significant threat to the stability of cotton yields in the oasis region of southern Xinjiang. Methods: This study employed the AquaCrop model (Version 6.1) and CMIP6 SSP245BCC-CSM2-MR future climate scenario data to comprehensively evaluate the impacts of different irrigation and mulching methods on cotton water consumption, water footprints (blue and green water footprints), crop yields, and their long-term stability and sustainability from 2021 to 2099. Results and discussion: Increasing temperatures under future climate change scenarios could significantly reduce cotton water consumption and water footprints, while increase cotton yield, yield stability, sustainability, and overall irrigation water productivity (WP). Compared to the baseline period of 1981-2020, cotton water consumption and water footprints in 2021-2060 and 2061-2099 are expected to decrease by 29.3% and 28.8%, and 41.6% and 42.6%, respectively. Concurrently, cotton yield and WP are projected to experience an increase of 39.8% (50%) and 49.2% (60.25%), respectively. A comprehensive evaluation based on Technique of Order Preference by Similarity to Ideal Solution revealed that under the historical climate conditions from 1981-2020, an irrigation quota of 495 mm for film mulching drip irrigation and 594 mm for filmless drip irrigation exhibited favorable effects on cotton yields but resulted in increased irrigation water consumption. However, under the future climate scenarios for the periods of 2021-2060 and 2061-2099, the elimination of film mulching and a reduction in irrigation quotas are not expected to have a detrimental impact on the sustainability and stability of cotton yields. This study provides valuable insights for enhancing the resilience and productivity of cotton in response to climate change in southern Xinjiang and analogous regions, which hold significant for policymakers to formulate strategies for the sustainable development of agriculture and plan the allocation of water resources in the future.

Indexed as

AquaCrop modelclimate changecotton yieldTOPSISwater footprint

Identifiers

PMID41890278
PMCPMC13012958

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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.