Evidence map›Paper›PMID 40594733›Full record

ArticleScientific reports2025

Analysis of spatiotemporal evolution and driving factors of ecological environment quality in the Ili-Balkhash Lake Basin in Central Asia.

Keyu Chen, Jinjie Wang, Zipeng Zhang, Hongzhi Xiao, Jingming 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. 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

5 authors.

Keyu ChenCollege of Geography and Remote Sensing Science, Xinjiang University, No. 777 Huarui Street, Urumqi, 830017, China.
Jinjie WangCollege of Geography and Remote Sensing Science, Xinjiang University, No. 777 Huarui Street, Urumqi, 830017, China. skytian552@163.com.
Zipeng ZhangCollege of Geography and Remote Sensing Science, Xinjiang University, No. 777 Huarui Street, Urumqi, 830017, China.
Hongzhi XiaoCollege of Geography and Remote Sensing Science, Xinjiang University, No. 777 Huarui Street, Urumqi, 830017, China.
Jingming LiuCollege of Geography and Remote Sensing Science, Xinjiang University, No. 777 Huarui Street, Urumqi, 830017, China.

Funding

the effect of inter-basin watertransfer on the ecological effects of Xinjiang's Lake Ebinur 42171269the Key Program of the Joint Fund of the National Natural Science Foundation of China U2003202
6 · The paper itself

Abstract

The Central Asian area is faced with unprecedented challenges due to the fragility of its ecological environment and under the double pressure of global warming and intensified human activities. As a typical transboundary watershed in Central Asia, the ecological system quality of the Ili-Balkhash Lake Basin (IBLB) is of vital importance to the sustainable development of the whole region. In this study, we constructed the Remote Sensing Ecological Index (RSEI) for the IBLB (2000-2020) using the MODIS dataset on the Google Earth Engine platform and applied Sen's slope and Mann-Kendall (Sen-MK) trend analysis methods to assess RSEI trends. Additionally, geographic detectors and geographically weighted regression models were used to identify and analyze the global and local factors influencing RSEI. The outcome of the study suggests that: (1) The ecological quality of the basin has generally improved, and the proportion of high quality and good areas has risen, but spatial heterogeneity is obvious, and the area around the lake shows a trend of degradation; (2) LST and NDVI were the main natural drivers, and LUI and AWUE were the key human drivers, with significant interactions among the factors; (3) The GWR model further reveals that LST is the main limiting factor of RSEI, and the two are negatively correlated, while there is significant spatial variability in the effects of NDVI, LUI and AWUE on RSEI, with both positive and negative effects. This study lends a scientific basis for revealing the ecological evolution of watersheds in arid zones. The methodological system it constructed can provide a reference for the ecological monitoring and governance practice of transboundary watersheds around the world.

Indexed as

Geographical detectorGeographical weighted regression modelIli-Balkhash Lake BasinRemote sensing ecological index

Identifiers

PMID40594733
PMCPMC12215486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.