Evidence map›Paper›PMID 39496641›Full record

ArticleScientific reports2024

Assessment of the elevation-dependent warming in the Qinling-Daba Mountains and its relationship with land surface albedo and aerosol optical depth from 2001 to 2021.

Yuanyuan Lian, Jiale Tang, Yanli Zhang, Fang Zhao, Haifang Yu, Zhixian Zheng, Yumeng Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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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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

7 authors.

Yuanyuan LianCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China.
Jiale TangCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China.
Yanli ZhangCollege of Business Administration, Henan Finance University, Zhengzhou, 451464, China.
Fang ZhaoCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China. zhaofang84@163.com.
Haifang YuDepartment of Mathematics and Computer Science, Chaoyang Teachers College, Chaoyang, 122000, Liaoning, China.
Zhixian ZhengCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China.
Yumeng WangCollege of Geography and Environmental Science, Henan University, Kaifeng, 475004, Henan, China.

Funding

the Key Scientific Research Project of Higher Education Institutions in Henan Province No. 24A630004the Natural Science Foundation of Henan No.232300420165the Science and Technology Tackling Program of Henan Province No. 242102210003
6 · The paper itself

Abstract

In this paper, we examined the elevation-dependent warming (EDW) patterns of MODIS LST across different seasons in the Qinling-Daba Mountains, further investigate the connections between the EDW patterns of Land surface temperature (LST) and land surface albedo (ALB) as well as aerosol optical depth (AOD). The key findings include: (1) Our study reveals a robust correlation between LST and air temperature in the Qinling-Daba Mountains, suggesting the feasibility of using MODIS LST to predict the temperature trends (2) During the period from 2001 to 2010, MODIS LST shows a significant EDW trend, primarily in the spring season. In contrast, a negative EDW is observed in the period during 2011-2021, which is contrary to the earlier decade, particularly during the autumn and winter seasons. (3) EDW of MODIS LST is affected by the combination of ALB and AOD. The former has a negative influence on the change of LST, particularly above 2500 m in elevation. However, the latter is negatively correlated with the trend of MODIS LST, primarily at lower and middle altitudes (0-2500 m). This study gives a comprehensive explanation for the EDW of the temporal variations of LST in the Qinling-Daba Mountains to improve our understanding of the complex interactions and potential future climate scenarios in the region.

Indexed as

Aerosol optical depthElevation-dependent warmingLand surface albedoMODIS LSTThe Qinling-Daba Mountains

Identifiers

PMID39496641
PMCPMC11535210

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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.