Evidence map›Paper›PMID 39934462›Full record

ArticleEnvironmental monitoring and assessment2025

Sensitive shrubland and unique urbanization patterns: the key to understanding emerging towns growth in arid regions.

Qi Zhang, Junling He, Chunying Ren, Cun Chang, Wenxi Tang, Xifeng Ju, Adilai Saitiniyaz, Xin Guo, Liyang Cui, Liming Liu

Abstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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

10 authors.

Qi ZhangChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China.
Junling HeChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China. hejunling@mail.cgs.gov.cn.
Chunying RenNortheast Institute of Geography and Agroecology, Key Laboratory of Wetland Ecology and Environment, Chinese Academy of Sciences, Changchun, 130102, China.
Cun ChangState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
Wenxi TangNational Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology (CSUFT), Changsha, 410004, China.
Xifeng JuChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China.
Adilai SaitiniyazChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China.
Xin GuoChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China.
Liyang CuiChina Geological Survey Urumqi Comprehensive Survey Center On Natural Resources, Urumqi, 830057, Xinjiang, China.
Liming LiuHubei Provincial Land Resources Library, Wuhan, 430064, China.

Funding

Investigation on Ecological Restoration Support in the Kekeya Area of Aksu, Southern Xinjiang DD20220964Natural Resources Comprehensive Survey Command Center Science and Technology Innovation Fund: Key Technology Research on Ecological Geological Environment Monitoring and Evaluation in Arid Oasis Areas KC20230016Natural Science Foundation of Xinjiang Comprehensive survey of ecological restoration in the oasis core area in an arid region DD20230484
6 · The paper itself

Abstract

The urbanization process is complex and lengthy, typically resulting in dual changes in the socioeconomic structure and ecological environment. However, in the context of arid environments and initial urbanization, emerging towns undergo evolutionary processes different from those of traditional cities. This study focuses on a typical town, analyzing its growth under the combined effects of arid conditions and incipient urbanization. The results reveal a unique urbanization trajectory in the hinterland of southern Xinjiang: transitioning from refined agricultural planting to shrubland and bare land dominated by natural factors and then to impervious surfaces. While the pattern was complex, the direction of transition was clear. Using the town's establishment in 2014 as a critical node for urbanization initiation, shrubland emerged as the most sensitive land type, with a proportional increase by a factor of 2.6 from 2010 to 2015. This was driven by the abandonment of cultivated land, which decreased by 11.3% during the study period, with 78% of the newly added shrubland area converted from cropland. By applying the Markov model together with the InVEST model, the study predicted urban land-use transition patterns over the next 5 years and revealed that urbanization primarily exacerbates the instability of water yield in the surrounding region. This study uniquely addresses the gap in understanding the impacts of the urbanization process of emerging towns in arid regions and its associated ecological processes. A detailed investigation of such urbanization is crucial to mitigating issues like disorderly land use and promoting the sustainable development of small and medium-sized towns.

Indexed as

Conservation of Natural ResourcesEcosystemEnvironmental MonitoringUrbanizationAgricultureChinaCitiesDesert ClimateArid regionsEcosystem servicesIncipient urbanizationKashgar OasisLULC

Identifiers

PMID39934462
PMCPMC11814000

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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.