Evidence map›Paper›PMID 40033070›Full record

ArticleScientific reports2025

Spatio-temporal distribution characteristics and driving factors of forest land in the Da-Xiao Liangshan mountains based on topographic gradient.

Jianwei Zhou, Bin Feng, Hua Wu, Zelin Zhang, Linna Chen, Jihang Li, Xingwang Chen, Yuzhong Kong, Ze Meng, Xiangyun Kong

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jianwei Zhou *School of Ecology and Environment, Tibet University, Lhasa, 850000, China.
Bin Feng *School of Ecology and Environment, Tibet University, Lhasa, 850000, China.
Hua WuSchool of Ecology and Environment, Tibet University, Lhasa, 850000, China. xzwhua@163.com.
Zelin ZhangJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.
Linna ChenJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.
Jihang LiSchool of Ecology and Environment, Tibet University, Lhasa, 850000, China.
Xingwang ChenJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.
Yuzhong KongJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.
Ze MengJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.
Xiangyun KongJoint Laboratory of Plateau Surface Remote Sensing, Tibet University, Lhasa, 850000, China.

Funding

Bomi Geological Hazards Ministry of Education Field Scientific Observatory Research Station Construction Project Tibetan Finance Pre-indication [2023] No. 1Centralized Guided Local Project XZ202401YD0028Centralized Support - Key Scientific Research Platform Construction - Bomi Geological Hazards Ministry of Education Field Observatory Research Station Construction Project Tibetan Finance Pre-indication [2024] No. 1National Natural Science Foundation of China (NSFC) Joint Fund Project U23A2047
6 · The paper itself

Abstract

The Da-Xiao Liangshan Mountains serve as a crucial ecological barrier in the upper reaches of the Yangtze River in China. This study uses high-precision land use and land cover data from 1980 to 2020, applying kernel density analysis, topographic gradient classification, the PLUS model, landscape pattern indices, and standard deviational ellipse theory to analyze the spatio-temporal changes, topographic gradient differentiation, fragmentation, and driving factors of forest land in the study area. The results reveal the following: (1) From 1980 to 2020, forest land was one of the dominant land use types in the study area, covering more than 57.65% of the total area. The forest land area initially decreased and then increased, with a net gain of 120.41 km

Indexed as

Da-Xiao Liangshan mountainsDriving factorDry valleyForest landTopographic gradient

Identifiers

PMID40033070
PMCPMC11876586

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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.