Evidence map›Paper›PMID 41542381›Full record

ArticleEcology and evolution2026

Spatiotemporal Variation of Ecological Quality in the Yinshan Mountains Detected by MODIS Remote Sensing Indicators.

Zhikun Zhao, Zhigang Fang, Yunlong Zhang, Chao Ma

Abstract read
In one paragraph

Article in Ecology and evolution, 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

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

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

4 authors.

Zhikun ZhaoSchool of Surveying, Mapping and Land Information Engineering Henan Polytechnic University Jiaozuo China.ORCID https://orcid.org/0009-0002-6443-3537
Zhigang FangSchool of Surveying, Mapping and Land Information Engineering Henan Polytechnic University Jiaozuo China.
Yunlong ZhangSchool of Environment and Spatial Information China University of Mining and Technology Xuzhou China.
Chao MaSchool of Surveying, Mapping and Land Information Engineering Henan Polytechnic University Jiaozuo China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arid and semiarid regions constitute the primary distribution areas of desert ecosystems, and the long-term, multifactor dynamic assessments of ecological quality can provide a scientific basis for the regional construction and sustainable development of desertified steppe ecosystems. To address the ecological vulnerability and monitoring needs of the Yinshan Mountains, we constructed a new MODIS-based Remote Sensing Ecological Indicator (MODIS RSEI) based on MODIS data from 2001 to 2023. This indicator integrates greenness (SAVI, Soil Adjusted Vegetation Index), humidity (SWCI, Surface Water Capacity Index), dryness (NDBBI, Normalized Difference Bareness and Built-up Index), heat (LST, Land Surface Temperature), as well as a salinity index (CSI, Comprehensive Salinity Index). Additionally, an optimal parameter geographic detector (OPGD) was employed to analyze the driving factors affecting ecological quality and their interactions. The results show that (1) the MODIS RSEI in the Yinshan Mountains exhibited a spatial pattern of "low in the west and high in the east," fluctuating temporally between poor (0.20-0.40), moderate (0.40-0.60), and good (0.60-0.80) levels; (2) analysis of the Hurst index indicated that 62.53% of the MODIS RSEI in the Yinshan Mountains exhibited sustainable stability; and (3) single-factor detection based on the OPGD showed that the spatial differentiation of MODIS RSEI was mainly affected by NPP (

Indexed as

arid and semiarid regionsdesertified steppe ecosystemMODIS RSEIoptimal parameter geographic detector (OPGD)Yinshan Mountains

Identifiers

PMID41542381
PMCPMC12802412

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.