Evidence map›Paper›PMID 41639061›Full record

ArticleNature communications2026

Global impacts of transportation infrastructure on forest degradation and loss.

Decheng Zhou, Jingfeng Xiao, Shuguang Liu, Lin Huang, Liangxia Zhang, Jiangwen Fan, Shuqing Zhao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

7 authors.

Decheng ZhouCenter for Eco-Environment Restoration of Hainan Province/Hainan Baoting Tropical Forest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou, China.ORCID 0000-0003-0947-0853
Jingfeng XiaoEarth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA. j.xiao@unh.edu.ORCID 0000-0002-0622-6903
Shuguang LiuCenter for Eco-Environment Restoration of Hainan Province/Hainan Baoting Tropical Forest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou, China.
Lin HuangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Liangxia ZhangCenter for Eco-Environment Restoration of Hainan Province/Hainan Baoting Tropical Forest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou, China.
Jiangwen FanKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Shuqing ZhaoCenter for Eco-Environment Restoration of Hainan Province/Hainan Baoting Tropical Forest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou, China. shuqing.zhao@hainanu.edu.cn.ORCID 0000-0002-3205-1414

Funding

Hainan Talent Convergence InitiativeNational Key R&D Program of ChinaNational Natural Science Foundation of China (National Science Foundation of China) 42571127
6 · The paper itself

Abstract

Transportation networks threaten global forests, but prior assessments have been regional or limited to single metrics (e.g., forest cover). Here, we present a global analysis of multidimensional road effects on forests, using high-resolution remote sensing data and a Grid-wise Environmental Matching for Background Reference (GEM-BR) strategy. We detect 18.6% lower forest cover, 2.7 m shorter canopy height, 52.2 gC m

Indexed as

Conservation of Natural ResourcesForestsTransportationEcosystemHumansRemote Sensing TechnologyTrees

Identifiers

PMID41639061
PMCPMC12979849

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.