Evidence map›Paper›PMID 41963352›Full record

ArticleNature communications2026

Regional priorities in implementing forestation and wind energy as climate solutions in facing their trade-offs.

Pengyi Zhang, Fen Gou, Zhaorong Zhu, Wei Liang, Han Zhang, Ziyan Li, Chao Yue

Abstract read
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. 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

7 authors.

Pengyi Zhang *State Key Laboratory of Soil and Water Conservation and Desertification Control, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China.ORCID http://orcid.org/0009-0004-4457-5524
Fen Gou *Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China.
Zhaorong ZhuState Key Laboratory of Soil and Water Conservation and Desertification Control, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China.
Wei LiangSchool of Geography and Tourism, Shaanxi Normal University, Xi'an, China.
Han ZhangCollege of Economics and Management, Northwest Agriculture and Forestry University, Yangling, Shaanxi, China.
Ziyan LiState Key Laboratory of Soil and Water Conservation and Desertification Control, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China. lizyan@nwafu.edu.cn.
Chao YueState Key Laboratory of Soil and Water Conservation and Desertification Control, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, China. chaoyue@ms.iswc.ac.cn.ORCID http://orcid.org/0000-0003-0026-237X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both forestation and wind-energy upscaling are crucial climate solutions, but they may have conflicts as forestation can increase surface roughness and reduce wind speed. Here, based on coupled land-atmosphere simulations with contrasting forest areas, we report a notable trade-off between wind energy and carbon sequestration across a range of potential forestation areas. A maximum global forestation area of 1508 Mha is estimated to enable a biomass carbon sequestration of 90.7 GtC but also contribute to a 19.5% reduction in global onshore wind energy technical potential. The strength of such carbon-energy trade-offs, however, differs among different regions. Tropics could provide large forestation-induced carbon sequestration but have a small loss in wind energy potential. Large-scale forestation in Europe and US mainland may diminish not only wind energy potential but also energy generation of their current wind installations. Our results highlight the importance of maximizing the collective benefits of potentially competing climate solutions.

Identifiers

PMID41963352
PMCPMC13247222

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Registered trials

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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.