Evidence map›Paper›PMID 41044162›Full record

ArticleScientific reports2025

Ecological sensitivity assessment and driving force analysis of the Tarim river basin.

Halimulati Abulaiti, Yuting Liu

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

2 authors.

Halimulati Abulaiti *College of Life and Geographic Sciences, Kashi University, Kashi, 844000, China.
Yuting Liu *College of Life and Geographic Sciences, Kashi University, Kashi, 844000, China. liuyuting@ksu.edu.cn.

Funding

Kashi University (2024)2895
6 · The paper itself

Abstract

As a critical ecological barrier and water reservoir in northwest China crucial for regional sustainable development, the Tarim River Basin necessitates comprehensive analysis of its ecological sensitivity distribution and driving factors. In this investigation, we have woven together the Remote Sensing Ecological Index with the sensitivity assessment framework, constructing a comprehensive 15-indicator system for assessing ecological sensitivity. When elucidating the underlying determinants of ecological sensitivity within a watershed, employing the Optimal Parameter Geographic Detector (OPGD) model to discern the primary impetuses. The results showed that habitat quality analysis classified 56.53% of the basin as substandard, concentrated in central-eastern deserts under extreme aridity, while only 6.79% qualified as high-quality zones in northern vegetated areas. Topographic insensitivity dominated, with 70.08% of slopes exhibiting non-responsiveness, and human activities intensified fragility, as 25.09% of the area showed sensitivity to road proximity. Vegetation diversity and soil type interactions demonstrated equivalent explanatory power, with q-values of 0.657. Thermal-hydrological coupling emerged as a critical mechanism, prompting strategies like thermal buffer zones and precision irrigation to mitigate sensitivity hotspots. These results advance arid ecosystem governance by linking spatial heterogeneity to conservation policies. The Optimal Parameter Geodetector identified heat and temperature as dominant drivers, with q-values of 0.731 and 0.7045, respectively. Their synergistic interaction (q = 0.82) amplified thermal impacts from anthropogenic land modifications like irrigation infrastructure. These findings provide critical insights for informing ecological conservation strategies, offering actionable pathways to enhance the resilience and sustainable management of the basin's ecosystems.

Indexed as

Ecological sensitivityOptimal parameter geographic detectorTarim river basin

Identifiers

PMID41044162
PMCPMC12494691

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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.